It looks fine online. It fills an immediate need. Ordering feels quick and easy.

And then, your shirt arrives.

It twists after one wash. It never quite fits right. You shove it to the back of your closet. Eventually, you feel a little bit guilty every time you see it—and it ends up in the donation pile.

Even though you knew the trade-off when you bought it.

I’ve been thinking about that shirt a lot lately, because it’s exactly how many companies are using AI to create content.

How AI-Generated Content Positions in Google (Until It Doesn’t)

Search Engine Land reported on a study from SE Ranking showing that AI-generated content on a new site can perform well for a short window—about three months—before declining as Google reassesses its usefulness.

That pattern doesn’t surprise me.

What does surprise me is that it works at all, even temporarily.

Because when content is created quickly, published without much thought, and left alone to “do its thing,” it’s not built to last.

It’s built to fill an immediate perceived need.

That’s the fast-fashion version of AI content.

It fills a gap. It gives you something to publish. It might even get a short-term bump in search visibility.

And if you’re watching your analytics, it can look like it’s “working”—right up until it stops.

But underneath, it’s thin. It’s interchangeable. Nothing is holding up your content over time—so, like fast fashion, it unravels.

Why AI-Generated Content Fails Over Time (And Isn’t Actually Cheap)

And here’s the part that’s easy to miss: AI content isn’t cheap (even if it feels like it with that $20/month subscription).

When your AI-generated content drops off the positioning cliff, it’s not like you can donate it and get it out of your life.

You have to go back, figure out what went wrong, and either rewrite it or replace it entirely.

Or worse—you don’t catch it right away, and the AI-generated content slowly erodes your visibility.

The cognitive load you avoided comes back to bite you later—and usually at the worst possible time.

It wasn’t worth it.

Now think about something you’ve owned for years. A jacket, a dress—something that still fits, feels good, and makes you look amazing.

That’s what strong content does.

It holds its shape. It continues to bring in the right people. It supports consistent search visibility—whether someone finds you through Google, local search, or even AI-generated answers.

It positions you as the obvious choice—not just another option.

It reflects something intentional, not mass-produced.

How Human-Edited Content Helps You Use AI for SEO Content (Without Losing Quality)

This doesn’t mean everything you create has to be “luxury.”

Most of us aren’t building a couture wardrobe, and most businesses don’t need fully bespoke copy for every single piece of content.

But there’s a middle ground that makes much more sense – and where most smart companies should be operating right now.

It’s the version where AI supports your SEO content strategy—but doesn’t replace thinking.

You use AI to explore ideas, get unstuck, or build a rough draft.

Then you step in—or bring in someone who knows what they’re doing—to shape the message, align it with search intent, and make sure it reflects your expertise.

That combination is where things start to click.

The content lasts longer. It performs more consistently. It’s more likely to support both traditional SEO and the newer AI-driven search experiences.

And just as important—it actually sounds like you again. The page is something you’d choose to keep and link to —not something you’re constantly trying to hide.

Which Pages Should Never Use AI-Generated Content

And then there are the pages where you don’t cut corners at all.

Your sales pages. Your core service pages. The pages that support your local SEO and drive the inquiries you actually want.

The content that’s directly tied to revenue.

That’s where you go fully custom—because those pages aren’t just content “for Google and AI search.”

They’re the pages that determine whether someone contacts you—or clicks back to a competitor.

These pages act as your 24/7 salespeople, connecting with your ideal client, explaining what you do, and helping your prospect think, “I need to work with this company. They get me.”

In the best-case scenario, someone reads your page and thinks, “I knew I had to work with you after reading this.” (Yes—that actually happens.)

Treat these pages with care. AI may kick out a slick-looking sales page, but a skilled copywriter knows how to transform AI’s nice-looking words into a conversion magnet.

Fast Results vs Long-Term SEO Performance

AI isn’t the problem here—it’s how it’s being used.

If you treat content like a commodity, you’ll get fast-fashion results.
Quick. Disposable. Easy to replace.

But when you use AI as part of a thoughtful content and SEO strategy, the outcome shifts.

You create content that works now—and continues to build visibility, earn stronger positions, and generate revenue over time.

That’s the difference between content you publish “for Google” or “AI search”… and content that boosts your bottom line.

Feeling like your website content isn’t bringing in the right clients? I help you pinpoint what’s working, what’s not, and exactly what to change—through consulting, SEO copywriting training, or inside my Writers + Robots community for SEO copywriters.

That’s the work I love doing every day. Contact me if you want help.

The post Why AI-Generated Content Is Like Fast Fashion appeared first on SuccessWorks.

Google’s AI Overviews are everywhere…

According to a Botify x DemandSphere study analyzing 120,000 keywords across 22 websites, Google’s AI Overviews now appear in 47% of search results and dominate 73.6% of long-tail searches.

For content creators, this presents both a challenge and an opportunity.  

While some chase AI Overview citations, others focus on creating deeper content that drives conversions. 

The smartest strategy? It depends on your goals and resources.  

Let me share two perspectives—one from the Botify study and the other from Orbit Media’s Andy Crestodina. I find these two perspectives interesting because they are like two sides of the same coin, allowing you to review your content with new eyes.

Then, I’ll wrap up with my thoughts at the end.

Ready? 

Let’s look at the geeky perspective.

Perspective #1: Data-driven content writing

The Botify study suggests focusing on your site’s low-hanging fruit – pages you could push to the top twelve positions. The better the position, the more chances Google picks your site as an AI Overview source.

So, it pays to peek at what’s positioning on page two and three and find pages you can improve. Bumping your position doesn’t guarantee your page will be cited in AI Overviews – but hey, you improved your page ranking. That’s something to celebrate right there!

Once you identify your target pages, the study recommends “analyzing the semantic similarity between page content and AI Overview.” 

Translating that into non-geek speak – match your content’s structure/phrasing/information to what you see in the cited article.

According to the study, some questions to ask are:

• How does the content linked in the AI Overview compare to the AI-generated text summary? 
• How does it match the keyword intent? 
• How directly does the content answer the consumer’s needs? 
• What kind of tone and style does it use? Does it match the AI Overview summary?

So, reverse-engineering the AI Overview results requires some sleuthing on the search results page, but it can be done. Although I’ve never loved copying a competitor’s style on the off chance it could gain Google positions, reviewing the content being pulled for AI Overviews for trends is smart. 

Once you have the structure, you could even experiment with ChatGPT to outline the article in an AI Overview-friendly way (with your expert guidance). ChatGPT doesn’t replace your copywriters, but it can do a lot of the heavy lifting.

Is it a case of giving Google what it (hypothetically) rewards? Yes.

Perspective #2: High-value thought leadership

For another perspective, I love this article by Andy Crestodina, which discusses focusing away from zero-click keywords (where people can read an AI Overview or click a People Also Ask result) and towards “visit-website-intent” keywords.

Here’s what Andy said:

“But certainly, there are still ‘visit-website-intent’keyphrases. Which phrases are those? They are the high consideration phrases farther down the funnel. Searchers doing real research. Searchers looking for very detailed answers, instructions and perspectives.

Fortunately, these are the most valuable keyphrases. When we need in-depth answers, when we are serious about making a decision, when we want to know the details of what a company provides and how they do it …we click.”

You know – searchers who are looking for a unique point of view like yours. 

So, that means shifting away from the “easy answer” content that AI Overviews can provide and towards mesmerizing content that moves minds and opens wallets. 

AI can’t do case studies, webinars, videos with you in front of the camera, or blog posts with a point of view.

I know this is a significant paradigm shift for some companies that were taught to “dominate the search results page by creating listicle content at scale.” 

Instead of creating same-ol’ same-ol’ articles like “How to win at B2B content marketing,” develop a detailed case study or a guide containing expert interviews with your team. Content that AI Overviews can’t provide.

I love this. After all…

Perspective #3: Focus on what matters

I’m a best-of-both-worlds person.

For years, I’ve recommended that content writers review the search results page, click through to the top ten, and read the content.

You can learn a lot about what Google is currently “rewarding” by reviewing the content’s tone and feel, what questions it answers, and how the article is structured.

Does that mean copying the page outline that’s popping up in pages cited by AI Overviews will magically get you everything you want? No. But if every page positioning top-10 for a primary intent keyphrase is a 2,500-word guide, your 500-word listicle that AI spit out is at a huge disadvantage. 

It’s best to know the “rules” upfront – before you dedicate time and money to content generation.

But here’s where I think the true secret sauce is – and why I love Andy’s approach.

YOU are your unique value proposition in today’s AI-driven world. Instead of hiding behind AI content, why not showcase your point of view?

Give your readers something unique. asura77 Make your content so targeted and unforgettable that they can’t wait to read it (and to work with you after they do.) 

That’s what people crave right now – authentic, value-driven content that gets them.

Your buyers – the people ready to open their wallets – aren’t searching for basic information. They’re searching for experts who share their unique perspectives and can solve their problems. 

That’s what drives conversions. 

Plus, companies with subject matter experts have a unique advantage in today’s AI-generated content world. 

Your experts bring something invaluable to the table: real experience solving real problems. They can share specific insights, detail precise methodologies, and connect the dots in ways AI can’t.

SMEs can tell stories and weave together ideas that make people think, “Wow, look at what she’s done – I bet she can help me too.”

Clients often tell me, “Your article about X made me contact you.” An AI listicle about “7 Content Marketing Tips for 2025” won’t have the same impact.

Sure, you may want to try for an AI Overview citation. For instance, Cisco, Microsoft, Google, and IBM have top-ten definitional pages for [SaaS].  

Microsoft has two AI Overviews citations and Position Zero, so their strategy worked. 

That’s good and makes sense if you’re a big company with a large writing team. You would expect to see Cisco and IBM dominate the space.

For everyone else, I’d focus my time and budget on content that showcases your expertise – and avoid providing free answers on Google unless you know that AI Overviews citations make you money.

Because it could. People are seeing sales from ChatGPT search.

Your AI Overviews action plan

• Map out topics where your expertise is irreplaceable 
• Identify web-visit-intent keywords where detailed expertise matters 
• Review existing content for potential for low-hanging fruit.
• Prioritize in-depth thought leadership for complex, high-value topics 
• Reserve Overview optimization for definitional/zero-click content where it serves your business goals 
• Develop a clear point of view that differentiates you from AI-generated content and competitors
• Monitor conversion rates from different content types 
• Calculate ROI on Overview citations versus expert content 

Are you ready to develop a content strategy that builds authority and drives results? Let’s discuss how to make your expertise shine in the AI era. Learn more about my online and in-person SEO AI copywriting training.

The post Should You Chase AI Overview Citations? Here’s How to Decide appeared first on SuccessWorks.

Yup, we’ve all been there!

Here are six reasons your AI-generated content sounds dull—and what you can do to make it shine.

You’ve accidentally copied someone’s content.

Here’s a real-life example that could have happened to me…

I asked ChatGPT to generate 50 AI/SEO writing community names. Some were okay, and others were awful.

And then there was one that stood out: Content Mavericks. What a cool name!

The problem? It was already taken.

Had I gone with the name without checking Google first — or even mentioned it as a possibility — I would’ve looked like a total dumbass, confused my audience, and understandably pissed off the people behind the Content Mavericks brand.

It would have been easy to do if I was working fast and not checking my work.

If you (or your writers) use AI to brainstorm headlines, product names, community names, or anything else, always confirm that your choice isn’t already in use.

Double-check everything, just in case.

Your company doesn’t need that reputation hit. 

Here’s another way unedited AI content can come back to bite you…

Your content contains incorrect information.

I’ve seen ChatGPT pull testimonials and clients out of thin air, spit out incorrect client information, make up statistics, and even add up numbers incorrectly. 

I’ve discussed before how ChatGPT listed Rolls Royce as a past client.

I’ll ask for a 50-75 word summary and get 90 words.

It’s easy to let this slide if you’re working fast and on a deadline—after all, ChatGPT sounds authoritative, and we may feel it gets it right “most of the time.” 

Just remember, publishing incorrect information is one sure way to tank your site’s trust (and your company’s reputation). 

Fact-check every link, statistic, and source. Yes, it will take additional time. But just because ChatGPT sounds authoritative doesn’t mean it’s correct.

And having incorrect content on your site is a sure way to blow your online reputation.

After all, how can clients trust you to help them if your content isn’t trustworthy?

Speaking of trust…

AI content doesn’t have E-E-A-T (by itself).

Although Expertise, Experience, Authority, and Trust (E-E-A-T) aren’t Google ranking factors, the top-positioned pages tend to have a unique perspective, differ substantially from other sources, and provide valuable and accurate information.

What pops out of GenAI only looks unique on the surface. Peer under the hood, and it’s a mishmash of other people’s content and points of view. By definition, GenAI content can’t include experience or showcase your expertise.

Only you can do that. 

Yes, you can get a decent first draft out of ChatGPT. But you’ll also want to spice up the content with personal anecdotes, statistics, opinions, predictions, unique takes, and a “do this next” list.

Taking this step makes your content more valuable to prospects who want to learn more about you. While your generic content may not grab their attention, outlining in your blog post how you handled a client’s past issue may seal the deal.

Have you ever had ChatGPT give you content that’s so basic the only cure is rewriting it? It may be because…

Your prompt is too general. 

Blog posts that scream, “Download these 101 AI Prompts” don’t include a necessary disclaimer…

The prompts are starting points. Not THE prompt that will write the perfect competitive analysis and craft standout content.

Think of AI prompts like a basic vegetable soup recipe. If you only use the suggested ingredients, the soup will taste okay…but missing something. 

Sprinkling detailed seasonings into the prompt and asking ChatGPT or Claude, “Ask me if anything is unclear,” can give you the full-flavored content you want.

For instance, spice up your prompt with details including:

• Audience demographics/psychographics
• Desired action
• Brand voice
• Content goals
• Keyphrases

You can even use competitors’ reviews to help you position your content even more.

Boom! Suddenly, your basic vegetable soup is a mouthwatering minestrone. ?

For instance, one prompt I found online suggested [Write five social media posts for X company.] 

That’s fine, but…it doesn’t provide any context about the target audience, call to action, or monthly theme—anything that could better dial in the content. 

Here’s one of the responses for a fictional life coaching company.

Now, let’s add some spicy details to our prompt and see what we get:

[You are a high-level social media content creator writing February’s Facebook posts. Please develop five posts between 50-75 words, making Valentine’s Day the subject of two posts. Signing up for our Life Unleashed coaching program is the subject of one email and one email encouraging people to sign up for our Happy Bytes life coaching newsletter. The target audience is women aged 35-55 who want to “fall in love with themselves” this month. Make the tone and feel inspiring and encouraging.]

Do you see the difference between the two responses? Sure, I’d still tweak the second post – but what’s there is richer and more descriptive.

And yes, sometimes creating a prompt takes more time than just writing the damn content. If you’ll need the prompt again (for instance, swapping out St. Patrick’s Day for Valentine’s Day), write the prompt.

But what if you write a killer prompt, but the output is still meh? Maybe it’s because…

You haven’t trained it in your brand voice.

I created a GPT for a small business client (Hi Tess) so she could write newsletters, respond to emails, and write customer response texts faster. She’s a great writer with an engaging, personal style – but writing isn’t her core competency. 

She tried ChatGPT in the past, but the content didn’t sound like her. Between no time, no incentive to write, and crappy ChatGPT content, she put her emails on the back burner.

Since every email she sends generates income, she’s losing money—every month.

When we sat down to test the “Tess Mini-Me,” she was amazed at how the GPT could generate the base content, pull in her product information, link to her website – and, most importantly, make the content sound like her. She kept repeating, “This is life-changing,” over and over.

Sure, it sounds cool to have ChatGPT “write like Hemingway” or emulate your favorite writer. 

But wouldn’t it be cooler if it could sound like you write – and make editing the content easier and faster? 

According to Tess:

“What used to take me forever now gets done in a fraction of the time, and it still sounds like me. It’s like having a personal assistant who never takes a day off and actually understands what I need.”

Her quote makes me smile.

Your AI content doesn’t have to suck.

But that means YOU (or your writers) smooth out the rough edges and comb through the details.

Just as you wouldn’t upload a rough draft from a copywriter, don’t look at the first AI draft and say, “Yup, we’re good.”

Review your content for accidental copying, factual errors, or brand voice misalignment. Make those strategic edits to let your E-E-A-T shine through.

Then, uplevel your prompts with those flavorful ‘seasonings’ and put in the work to train your AI on your unique voice. 

The results will be SO worth it!

Are you an entrepreneur, small business owner, copywriter, or subject matter expert searching for SEO and AI writing support? My community is launching soon – sign up for my newsletter to get the introductory price.

The post Here’s Why Your AI Content Sucks (And What You Can Do!). appeared first on SuccessWorks.

“If I use AI to write content, isn’t that… cheating?”

This question came from a 20+-year veteran copywriter while I was sharing how AI had transformed my content creation process. 

Her concern wasn’t about quality but whether using AI made her a “bad” or “lazy” writer who can’t be bothered to write from scratch.

I get it. As a fellow Gen Xer, I’m programmed to believe that anything worth doing requires struggle. We’re wired to be suspicious of shortcuts and expect to do things “the hard way.”

How did I quiet my inner stubborn Gen Xer? When I shifted from asking “Is this cheating?” to “How can I improve my writing process?” everything transformed.

AI hasn’t replaced my SEO writing — it’s elevated it. I’m now faster, sharper, and more prolific. And the best part? It saves me a minimum of three hours every week, often more.

Here’s precisely how AI tools save me 10+ hours monthly. 

Before AI, my content creation cycle looked like this:

• Brainstorming topics: 45-60 minutes.
• Creating an outline: 30-45 minutes.
• Writing the first draft: 120-180 minutes
• Editing and refinement: 90 minutes. More if I get into “tweaking” mode
• Repurposing for social media: 45-60 minutes per platform. Maybe. If I did it.

That’s 5.5+ hours per piece of content!

Sure, some long-form posts would naturally take a lot of time. But it was taking that much time to create average posts. 

Now, with AI assistance, here’s my new process:

1. Smarter Brainstorming (45 minutes → 10 minutes): Instead of writer’s block, I prompt AI with industry trends and audience questions to generate ideas. Perplexity is excellent for this. I recently created a month’s content calendar in under 30 minutes, which previously took an entire, highly caffeinated afternoon.

2. Accelerated First Drafts (2 hours → 30 minutes): AI helps create structured drafts that I enhance with my expertise, stories, and voice. What used to take my entire morning + the next day now happens before my second coffee is done.

3. Precision Editing (90 minutes → 20 minutes): AI identifies weak transitions, repetitive phrases, and areas that need clarification. I still send everything to my fantastic editor. (Thank you, Amy!) I love Grammarly, but it doesn’t replace snarky editing comments (which I love!)

4. Effortless Content Repurposing (45 minutes per platform → 45 minutes total): I created a custom GPT trained on my writing style that transforms blog posts into platform-specific content. Even my husband couldn’t distinguish between my AI-assisted LinkedIn posts and the ones I wrote entirely myself.

For example, this post will transform into:

• 2-3 LinkedIn posts
• A blurb in my LinkedIn Well Branded Woman newsletter
• A blurb in my Copywriting with Robots newsletter
• Multiple Bluesky posts.

All in under 45 minutes, rather than the 3+ hours it would have taken manually.

The big AI downside (that nobody talks about)

Ironically, AI’s efficiency created an unexpected problem: content overwhelm.

With the creation barriers removed, I started more projects than I could finish, ending up with dozens of half-completed drafts and a scattered strategy. AI messes with my ADHD, making me want to do ALL THE THINGS RIGHT NOW.

That…doesn’t work.

Here’s how I’ve restructured my approach:

1. Setting strict priorities: I limit myself to completing 1-2 AI-assisted pieces before starting anything new, preventing the “shiny object syndrome” of endless ideation.

2. Implementing structured batching: My new schedule includes:

• Monday: Turn blog posts into social posts and schedule.
• Tuesday: Brainstorm new blog post, outline, and first draft.
• Wednesday: Make major post edits and write the newsletter. My writing brain can normally only work a couple of hours on Wednesdays, so I get admin done on this day, too.
• Thursday: Revise newsletter and edit post.

I’m still playing and tweaking, but this feels the most efficient.

3. Creating reusable training resources: I’ve built a library of brand voice guides, audience profiles, and writing samples that I can instantly provide to AI tools. This prevents repetitive setup and maintains consistency across platforms.

Using AI for copywriting isn’t cheating — it’s a competitive necessity.

Let’s be honest: I had to overcome my initial Gen X guilt about “taking the easy way out.” But I eventually asked myself: What’s wrong with efficiency if it improves the final product?

Consider these parallels:

• Designers use Photoshop instead of physical cut-and-paste techniques.
• Photographers use digital editing rather than darkroom chemicals.
• Most writers already use Grammarly, which is AI-powered.

None of these professionals are considered cheaters. They’re seen as smart practitioners who use the best available tools.

The real risk isn’t using AI — it’s using it lazily. You could undoubtedly generate generic, expertise-free content without refinement. But true creators know better.

AI-empowered creatives understand that technology amplifies their unique voice rather than replacing it. It frees us to focus on what humans do best — storytelling, emotional connection, and nuanced expertise — while handling the mechanical aspects of creation.

With AI handling the heavy lifting, I spend more time perfecting the one sentence that ties everything together or finding the perfect analogy to make a concept click.

What happened with the skeptical copywriter?

I’m so glad you asked.

While we chatted, I could see her brain going from “Why would I ever use ChatGPT?” to “Wait, I didn’t know it could do THAT!”

She was able to break through the “cheating” mindset and see how she could do more in less time.

After seeing my practical AI workflow in action, she couldn’t wait to join my Writing + Robots SEO/AI Community, where I teach entrepreneurs and writers how to use AI strategically while preserving their unique expertise and voice.

Pretty cool, right?

I’m using AI as my creative accelerator, not my replacement. Where do you stand?  Leave a comment below. ?

Want to learn my exact AI content creation systems? Check out the Writing + Robots community, where I share actionable tips on how AI can give you your time back.

The post Is Using AI for Content Creation Cheating? (And How I Save 10+ Hours Every Month!) appeared first on SuccessWorks.

Want to supercharge your content strategy? Stop overlooking your competitors’ reviews—they’re a goldmine hiding in plain sight.

What Competitor Reviews Can Teach You

Competitor reviews reveal what frustrates customers, what they love, and—most importantly—what they wish a business would do differently.

It’s like a hidden window into your prospects’ brains, giving you valuable insight into how they view your competition.

Yes, reviews are that powerful.

Quick-Win Content Strategy from Competitor Reviews

Spend 20–30 minutes scanning your competitors’ reviews and write down common complaints or frustrations. Notice how reviews are worded, especially when the same phrasing appears more than once. This gives you insight into how customers talk about the product or service.

Once you’ve identified common themes, create content showing how you solve those issues better.

For example:

• If customers complain about slow response times, write a case study highlighting your 24/7 support and fast resolution rates.
• If they say a competitor’s product is hard to use, create a blog series on how to accomplish key tasks without the learning curve.
• If reviews mention frustration with pricing transparency, develop a pricing guide that breaks down exactly what customers get for their money.
• If reviews say: “I felt ignored after submitting my request,” create content emphasizing: “Our 2-hour response guarantee means you’re never left wondering.”
• If the same words or phrases keep appearing in the reviews, make note of them and sprinkle them into your sales copy. Those specific phrases they use? They’re golden nuggets telling you exactly how they think about your product or service.

This isn’t just about building rapport – it’s smart SEO too. Your ideal customers are likely searching using these exact terms and expressions.

When you create content that tackles your competitor weaknesses, you meet potential customers at their pain points—and position yourself as the solution.

Be an Emotional Language Detective

One of the most valuable parts of this strategy is uncovering the emotional language customers use.

Are they frustrated? Confused? Relieved? That emotional context gives you a blueprint for creating content that connects.

When you mirror your audience’s exact words, you’re not just optimizing for search—you’re making them feel seen and understood.

If your competitors’ customers feel “ignored” or “frustrated,” reflect that language in your content and show how you handle things differently.

The most effective content makes your audience feel like you get them. Emotional connection drives trust—and trust drives conversions.

How to Scale Review Mining with AI

Want to take this strategy to the next level? AI can analyze thousands of reviews and uncover patterns you’d likely miss with a manual review.

I’m old-school enough to remember reading all those reviews manually (yes, I do wear glasses now), but now AI handles the heavy lifting while I review the results.

Feed ChatGPT or Claude specific parameters—like service complaints or feature requests—and let it categorize feedback by themes such as pricing, features, and customer service. Look for recurring patterns and emotional language. What complaints keep coming up? What exact words do customers use to describe their frustrations?

AI gives you the data, but your expertise transforms those insights into strategic content. When you know what’s frustrating your competitors’ customers, you can position yourself as the better solution.

5 AI Prompts for Mining Competitor Reviews

Want to uncover deeper insights from competitor reviews using AI? Here are five strategic prompts to help you extract valuable insights with a tool like Claude or ChatGPT. You can upload your competitors’ reviews as a .csv file, or as a PDF.

1. “Analyze [competitor name] reviews and list the top five recurring complaints or pain points.”
   → Focus on consistent frustrations to uncover market gaps and customer needs.
2. “Extract the specific language customers use when describing what they dislike about [competitor product/service].”
   → Mirroring customer language improves connection (and you may uncover some search terms.)
3. “Identify the emotional triggers in these reviews. What features or experiences cause frustration, confusion, or disappointment?”
   → Understanding emotional context helps you create more relatable, trust-building content.
4. “Generate five FAQ questions and answers based on the confusion or misconceptions mentioned in these reviews.”
   → Strengthen your FAQ pages and customer support content by addressing common customer concerns and showing how you can help.
5. “Identify long-tail question phrases that customers might search for based on the problems mentioned in these reviews.”
   → Long-tail keywords attract highly targeted traffic.

Working with thousands of reviews? Try specialized tools like Kompyte or Klue to automate and refine the process.

The Competitive Edge: Why This Works

Using asura77 competitor reviews for market insights works because it’s grounded in real customer experiences. You’re not guessing what might resonate—you’re responding to market needs.

And here’s the best part—this approach aligns perfectly with what Google loves: helpful, human-first content based on real experiences. Competitor reviews give you an insider’s look at what your audience wants.

All you have to do is deliver it.

Don’t stare at a blank page next time you’re stuck for content ideas. Head to your competitors’ reviews and let customers tell you precisely what they want.

The insights are already there—you just have to find them.

The post Why Competitor Reviews Are an Untapped SEO Writing Goldmine appeared first on SuccessWorks.

That’s precisely the benefit Harvard Business School found in a recent study.

Participants using generative AI didn’t just produce better writing—they collaborated better. That’s a game-changer—and I don’t say that lightly.

The research highlighted that teams leveraging GenAI created higher-quality content in less time. 

But here’s what grabbed me:

AI helped bridge the communication gap between technical and creative teams.

In the study, R&D teams naturally gravitated toward technical solutions, while commercial teams brought customer-facing insights to the table. With GenAI in the mix, the collaboration led to more balanced and innovative outcomes—blending both perspectives in powerful new ways.

? This is huge!

When I train in-house SEO content teams, it’s common for the marketing, product, and technical teams to be completely siloed.

Writers didn’t understand the dev side. Developers didn’t understand why content needed to be optimized in a certain way. And all teams felt THEIR content ideas were the best for the company.

I’ve seen brilliant content ideas get stuck—or die entirely—because the silos were just too deep.

That’s why AI breaking down team silos is such a powerful shift. It gives teams a shared space to think, test, and iterate together—without the friction that usually comes from cross-functional communication gaps.

If you’re a marketing leader, product owner, or content strategist, this isn’t just a fun experiment—it’s a strategic advantage.

? What This Means for Your Content Team

AI isn’t just a content tool. It’s a collaboration catalyst. When your team knows how to use GenAI across silos, they can:

• Use AI tools as “cybernetic teammates.” Think of them as helpful coworkers who are always ready to brainstorm. I “talk to” ChatGPT and Claude almost daily to bounce around ideas, stress-test strategies, and punch up copy.
• Train AI tools to match your brand voice by feeding them previous blog posts, email campaigns, or web content. Are you wondering why the content created with ChatGPT or Claude isn’t very good? Check out this post for some reasons why.
• Speed up the content creation process without sacrificing quality. Instead of writing from scratch, writers can start with a solid AI draft and layer in brand tone, messaging, and storytelling. Here’s how I save 10+ hours every month with AI.
• Bust through silos—once and for all. One of the biggest perks of improving team communication with AI is that it doesn’t take sides. It levels the playing field, making it easier to co-create, collaborate, and ensure consistency across departments.

So, should AI replace your writing team?

Absolutely not. But it can help them write quality content faster, streamline their processes, and enhance cross-functional collaboration. And that’s the win.

? I believe integrating GenAI into content workflows will be one of the most valuable skills marketers, technical teams, and product folks can develop this year. 

What’s your experience? Are you seeing silos start to shift with GenAI? Drop a comment or shoot me a note—I’d love to hear what’s working for you.

Need someone to train your team on how to improve their workflow using SEO and AI tools? Let’s talk about customized training tailored to your team’s needs. Are you a copywriter, subject matter expert, or in-house writer who wants to learn how to efficiently write with AI tools – without selling your soul? Check out Writers + Robots, the only low-cost community combining SEO, AI, and direct response writing.

The post How GenAI Supercharges Content Collaboration and Breaks Down Silos appeared first on SuccessWorks.

I had the pleasure of speaking at the West Linn Historical Society’s Ignite event, where I shared a whirlwind tour through the last 30 years of search history.

The Ignite format is no joke—just five minutes, with 20 auto-advancing slides — and zero room for rambling. It challenged me to distill the biggest milestones into bite-sized moments and focus on what mattered most.

So, here it is—my full script: 1,034 words that capture the evolution of search — from dusty reference books, to AI-driven everything.

Enjoy the ride!

If you’re Gen X or older, you may remember researching school projects at the library. We actually had to leave the house back then to find information! Our search tools were card catalogs, microfiche, and massive, dusty reference books. Research wasn’t instant – it demanded time and patience, and there were no quick answers.

Then, in 1994, everything changed. Those dusty reference books evolved into online directories—essentially giant lists of websites. Search behavior meant locating the category we wanted and clicking through multiple subcategory links. It wasn’t as complicated as it sounds because there were only about 10,000 sites online back then.

And then there was Yahoo! (remember their commercials? Yahooooooo!). Yahoo was Infoseek’s flashier cousin, with slick television campaigns and feature articles in Wired. Believe it or not, Yahoo was cool. They started their directory in 1994 and stayed prominent for years…until Google started messing with their market share. More on that later.

Now, here’s what both directories had in common—they learned how to transform search behavior into profits. Infoseek sold banner advertising that people would actually click on. Submitting to Yahoo’s Directory cost $299, and adult sites paid $600. Even back then, the engines learned how to monetize sin.

Speaking of money, you know those ads appearing on the right side of the search results? Those originated with a company called GoTo.com. Companies would “bid” on how much they’d pay to be in the #1 spot. I was convinced people wouldn’t click an ad. I was wrong. Pay-per-click search is a multibillion-dollar industry. 

There were also early search engines from 1994-1998. They weren’t great – partly because the technology was new. And because of search engine optimizers like me (otherwise known as SEOs) who understood how to get their clients to the top of the results. These conditions meant a huge hole existed in the marketplace for a better search engine. 

Enter Google, the company that promoted an easier search experience and better results. Google’s algorithm positioned a page based on content and incoming links — so it was harder (at first) for people like me to manipulate. The marketplace loved them, and Google captured about 60 percent of the search engine market share in 1999. 

Even with Google’s “advanced” algorithm, positioning was still relatively simple. If you wanted to position for [red shoes], create a webpage using the keyword and ask people to link to you. That’s one reason why the writing was so bad back then – repeating the keyphrase usually helped the page get a better ranking.

It may seem like I’m talking about a lot of different search engines and directories—in fact, I’m even leaving some out (we miss you, Ask Jeeves). This chart, created by Bruce Clay, shows how convoluted the search landscape was in the early days. What people didn’t know is that Google fed results to many of the other search engines.  

At about this time, Google became the 800-pound gorilla everyone loved but wanted to beat. They opened its campus during SEO conferences, bussing hundreds to Google’s campus for the Google Dance – where this shirt is from. Here I am, meeting Sergey Brin back in the day. I was blonde back then.

Side note: Yahoo passed on two opportunities to purchase Google—once in 1998 for 1 million and again in 2002 for 5 billion. Since Yahoo wouldn’t extend a purchase offer, it decided to extinguish its competition. That didn’t go well.

Yahoo broke up with Google in 2003 and launched its own search engine. It also purchased Overture (the old GoTo.com) and started serving ads next to its search results. Yahoo’s technology was cool—it showed personalized results based on people’s search history…prompting millions of searchers to discover private browsing.

By this time, Google knew so much about us that it started completing our searches. Google Suggest launched, showing a dropdown of related search terms that auto-populated every time someone did a search. To see it in action, type [When I jump I] into Google and see what results come up. You’re welcome.

One of Google’s smartest business moves was developing a centralized way for small business owners to manage their web presence and be found on a map. Google started the Google Local Business Center (what is currently Google Business) back in 2005. And yes, even back then, small business owners felt frustrated with Google and how it listed their businesses. 

Cat video lovers celebrated when Google purchased YouTube in 2006 (yes, 19 years ago!). This was actually a big deal, as it meant average Internet speeds were finally fast enough for video. After the acquisition, YouTube results started showing on Google’s search results page. 

Microsoft had an identity crisis in the past. In 2006, they were known as MSN Search. They changed their name to Live and finally settled on Bing in 2009. It’s easy to snicker at Microsoft’s missteps, but their later investment in OpenAI, which owns ChatGPT, pushed Google into its current AI track.

For years, Google had over 90% of the search market share. Today, it’s 89%. That doesn’t seem like a big deal until you look at how search behavior drastically changed in November 2022 with ChatGPT. From there. Other tools like Perplexity and Claude hit the market, changing HOW we search every day.

Today, search behavior is paired with implementation—and most of it can be automated. We can ask GenAI to research, create an outline, and write a report. Instead of enjoying the thrill of finding the perfect link, GenAI offers summaries and a curated list of sites (optimized by people like me).

Although it seems easy to trust the robots, GenAI likes to make stuff up. They’ll even cite links that don’t exist. That’s why anything derived from AI is “trust, but verify.” Google has failed often over the years, but they’ve always tried to return the best, most accurate results for the user query.

Over my 25+ year career, I’ve seen search deeply transform how we find new information. My ask after today’s chat? Embrace curiosity over curated AI answers. Robots can be our friends, but part of the joy of discovering information is the curious, windy path we take to find the perfect answer for us.  

Thank you.

Which blast-from-the-past slide was your favorite? Mine was the old conference write-up from Search Engine Strategies — it seems like a lifetime ago. Leave your comment below!

(And before you comment, “Hey, you forgot X, or you needed to talk about Y more…remember, I only had 20 slides and five minutes.) ?

Want to write stronger content—faster—with a little help from AI? Here’s how I can support you:

•  Join Writers + Robots — your go-to resource for SEO writing, direct response copy, and how to power it all with AI. There’s a 7-day free trial, so you can dive in risk-free.

? Want your own “write-like-me” GPT? I’ll create a custom AI trained on your voice for just $350 (special pricing). Perfect for content creators, coaches, and founders. Contact me to learn more.

? Got a team? My AI Content Kickstart workshop is designed for modern marketing teams ready to master SEO + AI writing. It’s 90 minutes, packed with strategy, and just $995. Contact me for available dates.

The post The History of Search Engines: From Infoseek to AI appeared first on SuccessWorks.

At a recent networking event, a writer with 25 years of experience shared that her boss fired her and replaced her with ChatGPT. He believed AI could write all of his marketing collateral for a fraction of the cost.

That’s just freakin’ dumb.

Who’s going to plan the strategy? Fact-check the output to ensure ChatGPT isn’t citing a study that doesn’t exist? Rewrite robotic copy into something that sounds human and clicks with their audience?

Is it any wonder that 81.6% of digital marketers say content writers’ jobs are at risk from AI?

A subscription to ChatGPT isn’t a content plan. Nor is it an editorial savior, capable of doing it all. AI tools are…tools. Sure, they’re fast, shiny, and sexy.

But the tools still need you—the strategic, empathetic, editorial powerhouse behind the scenes.

I’ve got ChatGPT dialed in. I’ve trained ChatGPT in my voice and created custom GPTs for specialized tasks. However, if I uploaded what ChatGPT gave me without extensive editing, people would likely laugh and point fingers at me.

And I’d deserve it. 

Here’s the thing…

Why writers are (rightfully) skeptical about AI

AI deserves the side-eye.

I chatted with a small business owner earlier this week who complained the output from ChatGPT was SO bad. She felt like rewriting AI slop took more time than facing down a blank page.

And she’s right. Most folks don’t know how to train and work with AI. (I mean, it’s not like we all studied prompting in high school.) When we try and get a crappy output, we don’t want to try anymore.

Here are some reasons your AI copy isn’t landing – and what you can do.

So yes, your skepticism is deserved – and it comes from a good place. It means …

• You care about quality.
• You care about brand voice.
• You want people to take action after reading your content.
• You care about writing content that connects, not just about gaming an algorithm.

That’s precisely the mindset that makes AI valuable. Because it means you are still the one steering the ship.

So, how do you flip the script and make AI your sidekick, not your saboteur?

Here are five things to consider – and action steps to try:

1. AI is your intern, not your editor-in-chief.

Yes, AI can generate a decent rough draft. But the structure and storytelling flow? Only someone like you can do it well.

You know how to build emotional resonance. AI doesn’t. Use AI for speed—but trust your brain for the strategy.

Action Step:
Ask ChatGPT to write the introduction of your next post, and review the output. What worked? What falls flat? What would it take to transform the okay hook into an effective opening?

2. Prompts don’t write themselves.

The quality of what AI gives you depends entirely on what you ask it. Fortunately, I think that writers write the best prompts because we’re used to describing what we need in precise, concise detail. 

Prompt writing isn’t “cheating”—it’s a skill.

Action Step:
Did you write a prompt and wonder if it’s any good? Paste it into ChatGPT and ask it to rate your prompt on a scale of 1 to 10, with 10 being the highest. Ask it to revise your prompt until it scores a 10/10.

3. Fact-check like your reputation depends on it.

Because it does.

AI tools often sound confident, but get basic facts wrong. If you’re not checking, you’re publishing misinformation. I’ve seen ChatGPT create fake site links, statistics, companies, and biographical information. 

Bottom line: Never trust a stat or quote from AI without verifying it.

Action Step:

Next time you use AI to generate content, highlight and verify every claim and link. Yes, it’s a pain. Yes, it will take time. And always check those links you’re “pretty sure” are real. ChatGPT sounds so confident about incorrect information.

4. Train your AI on voice and tone.

It’s true that, out of the box, basic ChatGPT content doesn’t convert. BUT, you can train AI to understand how you (or your clients) write, and get it 80 percent there. I’ve said before that my husband can’t tell the difference between a LinkedIn post draft that I wrote from scratch and content created by AI.

Spending time on the front-end to train ChatGPT or Claude isn’t overkill—it’s brand control. Your content gets sharper the more your AI knows your voice.

Action Step:
Consider creating a custom GPT that you can train to write LinkedIn posts, newsletters, and more. If that feels too advanced, consider uploading example content, such as old emails and blog posts, to ChatGPT when requesting a writing task. The more AI learns about your voice, the more it can write like you…mostly.

5. SEO still needs the human spark.

Yes, you can ask ChatGPT to generate 20 blog posts quickly. But will those posts position in Google and AI search, and drive leads? Probably not.

Standout content needs more than just facts — it needs you.

AI can help structure your content, but it can’t replace your expert perspective and advice. Without you, the content lacks depth and soul, blending into the sea of internet sameness.

Action Step:
Use AI to create an outline. Then take one section and add a personal story or insight that only you could write. That’s what your readers want to read.

If AI feels overwhelming or awkward right now, you’re not alone. 

LLMs and tools like ChatGPT are new territory for writers. No one has it all figured out. I’ve spent hundreds of hours playing with ChatGPT, and I’m still learning. I like that.

You don’t need to be a prompting wizard or outsource everything to AI. Instead, focus on the writing tasks you love and let AI do what you don’t enjoy.

That way…

You save time.
You stay in control.
Your voice stays intact.

And you work on what brings you joy, letting AI help you with the other stuff.

Take AI From “Ugh” to “Ohhh, I Get It!”

Writers + Robots is where creative control meets AI magic — no soulless robo-copy allowed.

Join a community of writers and marketers who want to write smarter, not bland-er. You’ll get:

• Writer-focused AI trainings that will blow your mind.
• Personalized feedback (because templates alone won’t cut it)
• A crew that gets your “side-eye but curious” AI vibes

? Grab your 7-day free trial now

The post From Cautious to Confident: How SEO Copywriters Can Make AI Work for Them appeared first on SuccessWorks.

I used to treat ChatGPT like a tool. I’d pop in for a quick brainstorming session and then forget about it for weeks.

But then something shifted.

I started using AI daily — not just as a tool, but as a teammate. ChatGPT now helps me shape first drafts, streamline workflows, and even critique my proposals. (It recently told me one was too long for the target reader — oof, but accurate.)

So I felt totally seen when I watched Stanford creativity and AI professor Jeremy Utley tell a story about Winston Churchill dictating speeches from the bathtub while his assistant scribbled notes from outside the room. His takeaway from his video about AI-powered creativity? We all need creative support, and AI can be that assistant.

Not a robot intern. Not a glorified search engine. A collaborator that gets your voice, understands your goals, and helps you create your best work (even while you’re soaking in Epsom salts and ignoring email).

Here’s how to make that shift — and start getting mind-blowing results from AI.

1. Let AI Ask the Questions First

ChatGPT can ask surprisingly insightful questions — almost like a trained coach or consultant (and I would know, because I’m both). I’ve used it to untangle my thinking, test assumptions, and clear up brain space for bigger ideas.

Try this prompt from Utley’s talk:

“You’re an AI expert. I’d love your help figuring out where to best use AI in my life. Please ask me one question at a time about my workflows, responsibilities, KPIs, and goals — and once you have enough context, give me two obvious and two non-obvious recommendations.”

? Mind. Blown.

2. Coach Your AI Like a Teammate

If a coworker handed you a messy first draft, you wouldn’t roll your eyes and say, “Welp, they suck,” and start over from scratch. You’d give feedback. You’d clarify what wasn’t working. You might even say, “This is close — here’s what I was going for.”

Treat your AI the same way.

Too many people try one prompt, get a “meh” response, and give up. But ChatGPT isn’t a mind reader — it’s a collaborator that improves with direction and context.

Here’s how to coach it like a teammate:

• Tell it what worked. Be specific: “This tone feels on-brand,” or “The structure here is great, but the intro’s too soft.”
• Point out what didn’t. Don’t be afraid to say: “This sounds too generic,” or “This wording feels off. Try something more casual.”
• Ask for new directions. Request: “Give me five tone variations,” or “Rewrite this for a skeptical Gen X audience.”
• Let it analyze your draft. Use prompts like: “What objections didn’t I address?” or “What’s missing from this pitch?”

The more feedback you give, the sharper and more tailored the output becomes. Over time, ChatGPT starts to understand your voice, goals, and creative preferences, just like a trusted collaborator.

It’s not about getting the perfect first draft. It’s about building momentum and making it better, together.

3. Use It Where You Dread the Work

You don’t need to overhaul your entire process and replace it with our robot friends.

Start with the tasks that make you stall, sigh, or scroll Instagram.

Jeremy Utley shared a story about a national park ranger who hated filling out carpet-tile replacement forms. With zero tech skills, he used AI to build a document tool in 45 minutes, saving 7,000 days of human labor across the park system. ?

For me, it started with YouTube descriptions. Then came content repurposing. Now I ask: “Where can AI give me a head start or clean up the boring parts?” 

Using ChatGPT to handle the stuff I dread has freed up so much creative time. 

I’ve even built a custom GPT to write reports for my local parkrun. It’s saved me at least an hour every Saturday night.

Here are other things SEO copywriters can do with ChatGPT.

4. Don’t Stop at “Good Enough”

AI makes it dangerously easy to settle for “fine.” You enter a quick prompt, get a decent response, and think, “Cool, done.”

And that’s exactly why most content sounds the same. It’s technically correct. It checks the boxes. But it doesn’t stand out. That’s why AI copy without human editing sucks.

Jeremy Utley told the story of a seventh grader putting a post-it note on the board that said:

“Creativity is doing more than the first thing you think of.”

That’s the bar.

I use AI to push past the easy answers and go deeper — to level up my drafts, explore different directions, and shake loose ideas I wouldn’t have thought of on my own. The first draft is rarely the best, and AI makes it easier to keep going.

Sometimes I’ll ask:

• “Give me 10 more ways to say this.”
• “What would this sound like if Brene Brown wrote it?”
• “Make this sharper, more human, or Gen X-friendly.”

Other times, I’ll feed it a full blog post and say:

• “What’s missing?”
• “Which parts are unclear?”
• “How can I make this more emotionally resonant?”

The point isn’t to let AI write for you. The magic happens when you don’t stop at the first decent result. You push. You play. You refine.

That’s where the creative breakthroughs live.

AI Won’t Replace Your Spark — It’ll Supercharge It ?

As Utley says:

“Everyone has access to the same ChatGPT. How do I get a different output than you do? It’s because of what I bring to the model. And what do I bring to the model?
Certainly I bring technique, but I also bring my experience. I bring my perspective.
I bring all the inspiration I’ve gleaned from the world.That’s what gets a user a differential output from a model.

It’s not about what AI can do alone. It’s what you and AI can do together.

What do YOU want to create with ChatGPT? Leave a message in the comments.

? Want help bringing AI into your writing or marketing workflow — without losing your voice?

I offer 1:1 training sessions to help you integrate AI into your writing or marketing workflow, plus ongoing support inside Writers + Robots. (You can even start with a 7-day free trial.)

The post How ChatGPT Is Your Creative Wingman appeared first on SuccessWorks.

Top Takeaways

• 80% of freelance writers plan to expand their use of AI — but many aren’t seeing proportional income growth.
• 32% say AI has elevated their work, but not their earnings, creating a “Hidden Revenue Paradox.”
• Nearly half of the respondents haven’t told clients they use AI, even though only 9.6% reported negative reactions.
• Writers who focus on strategy, not speed, get nearly 2× more positive client feedback.
• The writers who earn more are those who package, communicate, and price their AI-powered value — not just work faster.

AI is no longer an experiment for SEO writers — it’s now a core part of the workflow.

A new study of 157 freelancers from The Truth About AI and Freelance Writers by Ed Gandia confirms what many of us suspected: adoption is accelerating, and confidence is rising, but income isn’t automatically following.

If you’ve felt that tension, you’re not alone.

This is precisely what I see inside Writers + Robots: talented writers are using AI to think and draft faster — yet they’re afraid to raise rates or tell clients how their process has evolved.

The shift that happens next is everything.

So let’s address the question at the heart of this:

If AI makes writers faster, why isn’t income going up?

Quick answer: Faster output doesn’t equal higher perceived value.

According to the study, 80% of freelancers plan to increase their AI use, yet 32% report no financial gains from that adoption. When speed becomes the focus, clients assume the work got “easier” — not better.

Instead of earning more, writers fill the time with more low-margin work, reinforcing the same income ceiling.

Inside Writers + Robots, I observe SEO writers breaking this cycle the moment they shift their focus from celebrating speed to claiming value. AI doesn’t diminish your worth — it gives you the mental space to think and execute at a higher level.

I use ChatGPT as a strategic partner. It doesn’t make decisions for me, but it can help me see around corners in ways I couldn’t see as easily by myself.

What’s really behind the “Hidden Revenue Paradox”?

Quick answer: Writers are doing more, but charging the same.

Freelancers conduct in-depth competitive intelligence, delivering outlines, research summaries, content maps, headline variations, and repurposing angles—but they don’t always label or price these deliverables.

All that “playing around with ChatGPT to get competitive intelligence ideas” is billable—even if it’s fun.

As Ed Gandia writes in his study, “Efficiency without packaging is invisible,” and it’s true. (And what a brilliant sentence!) If clients don’t know you’re doing more, they won’t pay more.

In Writers + Robots, I’ve seen writers raise their rates simply by naming the value they were already delivering. One member increased her fees after turning her “extras” into a defined deliverable — same writing skills, clearer packaging, better revenue.

Will clients freak out if you tell them you use AI?

Quick answer: No — the fear is bigger than the reality.

26.8% of freelancers fear client perception, and nearly half haven’t told clients they use AI. But among those who did share? Only 9.6% reported negative reactions, while 21.6% received positive feedback.

Some clients or companies will expressly prohibit any AI use. Most others care about the final result, and if the writing resonates, sells, and engages.

I hear the same before-and-after stories from Writers + Robots members. Members mentioned, “I don’t want clients to think I’m cheating, and I feel guilty about using AI.”
Once they explain how AI enhances research, consistency, and strategic thinking – and how you have to be an experienced writer to strategically work with AI, trust increases, not decreases.

After all, you have AI skills your clients don’t. Working with ChatGPT isn’t as easy as choosing the right prompt. It’s knowing how to dig deeper and use AI as a teammate—not a writing replacement.

Does talking about speed kill your value story?

Quick answer: Yes. Lead with outcomes, not efficiency.

Sure, AI can make us faster writers. But telling a client, “It will take me ten minutes to create an outline,” focuses the message on the time you spend, not on how you know how to research the competition, search results, and develop subheadlines based on People Also Ask results in record time.

This is the transformation I love most inside Writers + Robots: the moment a writer goes from “I’m faster now” to “I deliver a more valuable asset.”

Try swapping this:

• “AI helps me write faster.”
• “AI gives me time to go deeper and produce stronger insights, angles, and repurposing opportunities.”

That’s a value story. And value is what earns money — not minutes saved.

So how do you start charging for AI-powered value?

Quick answer: Make the invisible visible.

Here’s your roadmap:

Audit your deliverables.
List every deliverable AI now helps you create — even the ones you’ve never charged for. Take time to write everything down – you may be surprised at what you find.

Name it and claim it.
If it doesn’t have a name, clients won’t value it — and you can’t price it. Explicitly outline everything you offer, and don’t forget to…

Lead with outcomes.
Sell the effect on their business, not the effort behind the scenes.

Finally, consider sharing a one-sentence AI policy.

Example:
“I use AI for research, ideation, repurposing, and outlining — and then I write, refine, and fact-check every word myself.”

You’re not apologizing. You’re stating how you use a tool.

What’s the real takeaway for SEO writers using AI?

Quick answer: AI won’t replace writers — but it will widen the gap between those who evolve and those who don’t.

The writers who will thrive aren’t the ones who write the fastest. They’re the ones who communicate their value, package it clearly, and confidently price the outcomes AI enables them to deliver.

AI isn’t the threat. In many ways, it’s the key to helping us see strategic writing opportunities faster.

And you don’t have to figure any of this out alone.

Ready to turn AI into income — not just efficiency?

If you’re tired of trying to figure this out alone, there is a better path. Most writing communities cost $100+ a month, and standalone AI trainings can run $500 or more — and still leave you to connect the dots yourself. Plus, they don’t talk about SEO writing or how to gain AI citations.

Writers + Robots is just $38/month and includes a 7-day free trial, so you can experience it before you commit. Inside, you’ll get the systems, support, and strategy to raise your value, write with confidence, and use AI the right way — without spending a fortune.

Start your 7-day free trial

The post Why SEO Writers Using AI Still Aren’t Earning More in 2025 appeared first on SuccessWorks.