Knowledge base on AI visibility for knowledge-based small businesses: how ChatGPT and other AI assistants choose which companies to name, and what you can do about it.
Structured data makes pages readable for machines; it didn't produce more AI citations in research. Where to start.
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•5 min
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llms.txt gives AI systems a guide to your site. What belongs in it, what Google thinks of it, and when you can safely skip it.
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•4 min
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Perplexity shows its sources with every answer and rewards authority, timeliness and structure. What that concretely asks of your pages.
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•4 min
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Blocking protects against training, but takes you out of AI answers. The trade-off per bot, the middle ground, and how to check your robots.txt.
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•5 min
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Writing rules for citable content: the question in the heading, the answer in the first paragraph and figures with source and date.
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•5 min
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Three pillars determine whether ChatGPT mentions you: citable structure, demonstrable authority, and presence where AI systems look.
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•5 min
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How Claude gets its answers via training data and Brave Search, and how to test in ten minutes whether your business appears in it.
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•5 min
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The benchmark method: fixed search queries, a baseline measurement across multiple platforms and a monthly re-measurement where the delta is the evidence.
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•5 min
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What the AI answer block above the search results is, how Google chooses its sources and what it does to your click-throughs.
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•5 min
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GEO wants to be cited where SEO wants to rank. What stays the same, what shifts, and what research shows demonstrably works.
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•5 min
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Four AI visibility tools side by side on covered platforms and application, plus the manual route that proves the same thing without a subscription.
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•5 min
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Five causes behind a competitor appearing in AI answers while you don't, with a check you can do yourself for each cause.
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•5 min
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