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Why generic AI SEO advice fails, and what measured GEO looks like

Ask an AI assistant how to get your site into AI answers and you get a confident list of tips. It sounds right. It rarely helps, because it knows nothing about your site. Useful GEO starts from what can be measured.

Advice with no data behind it

“Write quality content.” “Build authority.” “Optimise for AI search.” None of these tell you which page to fix, or why. Advice like this is cheap to produce and hard to act on. If a report could describe any website, it describes none.

The technical foundation comes first

AI assistants can only cite what they can read. If AI crawlers are blocked, pages have no titles, the site has no structured data or the key content only appears after scripts run, no writing tip will fix it. These are concrete, checkable problems, and they come before anything else.

What we measure

Sitejump reads every page and records titles, descriptions, headings, canonicals, structured data, image alt text and language versions. We check robots.txt rules for each AI crawler, llms.txt and the sitemap. Each finding in the report shows its evidence: the pages, counts or tags it is based on. A finding without evidence is left out.

How the AI visibility sample works

We ask an AI assistant three questions a real customer might ask when looking for a business like yours, and record whether you were mentioned. AI answers vary by assistant, day and wording, so this is a dated sample, not a ranking or a guarantee. It shows where you stand today.

Who gets recommended instead

When the answers name other businesses, the report lists them. Then we visit their sites ourselves and note only what we can confirm, such as llms.txt or LocalBusiness structured data. We don't compare backlinks or traffic. Those numbers don't tell you what to change during a migration.

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Read next: AI search visibility, organic GEO vs paid AI ads

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