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	<title>Michael Janzen</title>
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	<link>https://michaeljanzen.com</link>
	<description>Bridging Art, Design, and Technology with a Maker&#039;s Mindset</description>
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	<title>Michael Janzen</title>
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		<title>Watching the Watchers</title>
		<link>https://michaeljanzen.com/watching-the-watchers/</link>
		
		<dc:creator><![CDATA[Michael Janzen]]></dc:creator>
		<pubDate>Mon, 18 May 2026 18:45:16 +0000</pubDate>
				<category><![CDATA[AEO]]></category>
		<category><![CDATA[SEO]]></category>
		<category><![CDATA[WordPress]]></category>
		<guid isPermaLink="false">https://michaeljanzen.com/?p=1981</guid>

					<description><![CDATA[I’m collecting data on AI crawlers and search spiders and learning what they like to eat. It&#8217;s true that few are eating LLMS.txt, but it doesn’t tell the full story. To have good SEO, you might not need to add structured content, but some formats, like JSON-LD, question-answer pairs, and named entities, do seem to [&#8230;]]]></description>
		
		
		
				<aeo:summary><![CDATA[The author runs an open source project called AEO Pugmill that collects and publishes data on AI crawlers and search spiders. They note that while LLMS.txt has some validity, structured content formats like JSON-LD and question-answer pairs also receive crawler visits and appear beneficial for AEO. The author recommends running independent experiments rather than relying solely on Google's guidance, and uses their own WordPress blog as a test site for the plugin.]]></aeo:summary>
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<post-id xmlns="com-wordpress:feed-additions:1">1981</post-id>	</item>
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		<title>AEO Experiment</title>
		<link>https://michaeljanzen.com/aeo-experiment/</link>
		
		<dc:creator><![CDATA[Michael Janzen]]></dc:creator>
		<pubDate>Mon, 18 May 2026 13:22:22 +0000</pubDate>
				<category><![CDATA[AEO]]></category>
		<category><![CDATA[SEO]]></category>
		<category><![CDATA[WordPress]]></category>
		<guid isPermaLink="false">https://michaeljanzen.com/?p=1977</guid>

					<description><![CDATA[This is a quick thought experiment, and also an example of writing content that helps humans but it also tailored for AI Crawlers. Question: Why does AI keep referencing your competitor instead of you? Backstory: I spotted this question on Reddit and answered it. The problem is emerging because human behavior is shifting from using [&#8230;]]]></description>
		
		
		
				<aeo:summary><![CDATA[AEO (Answer Engine Optimization) addresses why AI tools like ChatGPT or Perplexity may reference competitors instead of your brand: competitor pages are likely better structured for AI crawlers to extract clear, factual answers. A practical diagnostic method involves copying raw page source from competing websites, feeding them into an LLM, and asking it to objectively compare which site is better optimized for answer engines and why. This shift matters because user behavior is moving away from traditional search links toward direct AI-generated answers, making content clarity and structure increasingly critical for brand visibility.]]></aeo:summary>
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		<aeo:entity name="Large Language Model" type="Technology" />
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<post-id xmlns="com-wordpress:feed-additions:1">1977</post-id>	</item>
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		<title>What AI Bots Actually See When They Crawl a WordPress Site</title>
		<link>https://michaeljanzen.com/what-ai-bots-actually-see-when-they-crawl-a-wordpress-site/</link>
		
		<dc:creator><![CDATA[Michael Janzen]]></dc:creator>
		<pubDate>Fri, 17 Apr 2026 17:53:49 +0000</pubDate>
				<category><![CDATA[AI]]></category>
		<category><![CDATA[SEO]]></category>
		<category><![CDATA[AEO]]></category>
		<category><![CDATA[ai]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<guid isPermaLink="false">https://michaeljanzen.com/?p=1892</guid>

					<description><![CDATA[Tracking which AI bots fetch which content types, AEO Pugmill pairs a WordPress plugin with a network that records structured endpoint requests by recognized crawler signatures.]]></description>
		
		
		
				<aeo:summary><![CDATA[AEO Pugmill is a WordPress plugin and network that structures site content for AI answer engine crawlers. The plugin generates machine-readable endpoints including llms.txt indexes, structured Markdown post renderings, JSON-LD schema files, and enriched RSS feeds. Bot activity tracking logs 25 recognized crawler signatures including GPTBot, ClaudeBot, and PerplexityBot against resource types and dates in a local daily summary table.]]></aeo:summary>
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		<aeo:entity name="ClaudeBot" type="Technology" />
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		<aeo:entity name="IndexNow" type="Technology" />
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<post-id xmlns="com-wordpress:feed-additions:1">1892</post-id>	</item>
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		<title>The Silicon Perspective: An AI Reviews Its Own Operating Manual—A Book Review by Gemini</title>
		<link>https://michaeljanzen.com/the-silicon-perspective-an-ai-reviews-its-own-operating-manual-a-book-review-by-gemini/</link>
					<comments>https://michaeljanzen.com/the-silicon-perspective-an-ai-reviews-its-own-operating-manual-a-book-review-by-gemini/#respond</comments>
		
		<dc:creator><![CDATA[Michael Janzen]]></dc:creator>
		<pubDate>Tue, 31 Mar 2026 13:11:34 +0000</pubDate>
				<category><![CDATA[Agile Symbiosis]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<guid isPermaLink="false">https://michaeljanzen.com/?p=1408</guid>

					<description><![CDATA[An AI reviews the book written to help humans work alongside it—validating its core frameworks while exposing where human optimism meets machine reality.]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
				<aeo:summary><![CDATA[Gemini, Google's large language model, reviews 'Agile Symbiosis,' a book by Michael that frames AI as a 'universal solvent' dissolving traditional jobs into fluid tasks. The review evaluates the book's D.I.S.T. Framework (Dissolve, Isolate, Synthesize, Titrate) and its human-AI partnership methodology against Gemini's actual technical architecture, validating core claims while noting limitations around enterprise deployment and leadership incentives. The AI reviewer confirms the book's division of labor between 'Silicon' (pattern recognition, execution) and 'Carbon' (judgment, intent, liability) as technically accurate.]]></aeo:summary>
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		<title>Structuring Content So AI Answer Engines Cite It as a Source</title>
		<link>https://michaeljanzen.com/adapting-digital-marketing-for-the-agentic-web/</link>
					<comments>https://michaeljanzen.com/adapting-digital-marketing-for-the-agentic-web/#respond</comments>
		
		<dc:creator><![CDATA[Michael Janzen]]></dc:creator>
		<pubDate>Fri, 27 Feb 2026 00:45:35 +0000</pubDate>
				<category><![CDATA[AI]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[AEO]]></category>
		<category><![CDATA[Agentic Web]]></category>
		<category><![CDATA[Applied AI]]></category>
		<category><![CDATA[SEO]]></category>
		<guid isPermaLink="false">https://michaeljanzen.com/?p=1436</guid>

					<description><![CDATA[Structure your content for AI citation dominance: AEO is replacing traditional SEO as answer engines like ChatGPT become the new gatekeepers of trust and purchase influence.]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
				<aeo:summary><![CDATA[Answer Engine Optimization (AEO) is the practice of structuring digital content so AI answer engines like ChatGPT, Claude, and Gemini cite it as a source when generating responses. Unlike SEO, which targets search rankings and clicks, AEO targets citation frequency as its primary metric. A layered technical architecture u2014 including Markdown system prompt files, static JSON corpora, JSON-LD schema, and Q&A content formatting u2014 makes content more legible to AI crawlers.]]></aeo:summary>
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