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.
No, and anyone who promises it should be treated with suspicion. What is possible: guaranteeing the method and the measurement, with a benchmark fixed in advance.
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•5 min
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No magic number per week: consistency and freshness weigh more heavily than volume, and updating existing pieces counts just as much.
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•5 min
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Expect 60 to 90 days for the first movement. The chain behind it, the progression per month, and why the baseline measurement has to come first.
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•5 min
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No: Google's AI features rest on the existing ranking systems. What stays, what shifts, and why you shouldn't start a second content stream.
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•5 min
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Where an AI summary appears, the first result gets clicked less often. What disappears, what replaces it, and which three figures you should track from now on.
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•5 min
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What the four E-E-A-T letters ask of an ordinary business site, and why anonymous content is rarely cited by AI.
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•5 min
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Around 90 per cent of citation links in AI answers don't go to the brand's own domain. Why AI chooses this way, and what you can do about it without fake listings.
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•5 min
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Structured data makes pages readable for machines; in research it did not produce more AI citations. 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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