Scored on evidence, not folklore
Both reports draw on the same nine pillars. Each pillar’s weight follows published research on what AI systems cite, and the crawler documentation from OpenAI, Anthropic, Perplexity, Google and Microsoft. Being reachable carries 26% of the score. llms.txt carries under 1%, because nobody has yet shown that it changes anything.
26%Crawler access
Can AI crawlers and live fetchers reach the page?
URL accessibility scores 9.5 and preview controls 9.2 out of 10 in the Zyppy review of 54 studies. Nothing else matters if this fails.
18%Answer structure
Can a model lift a clear, self-contained answer?
Query-answer match 9.2, answer near the top 8.8, AI-ready structure 8.6, self-contained passages 8.0.
14%Content visibility
Is the content in the HTML that crawlers receive?
Content visibility 7.6. OpenAI, Anthropic, Perplexity and Meta crawlers do not run JavaScript.
10%Evidence and specificity
Are there concrete facts and sources worth citing?
Factually specific 8.3, explicit phrasing 8.1, cites sources 8.0.
10%Entity clarity
Is it unambiguous who is behind the site?
Brand and entity trust 6.8, entity consistency 5.8. Brand mentions are the strongest correlate in Ahrefs data.
8%Freshness and trust
Does the page show when it was updated and by whom?
Freshness 7.0. AI-cited pages are about 26% fresher than organic results in Ahrefs data.
8%Structured data
Is the page described in machine-readable form?
Structured data 5.6: a small but consistent positive relationship.
4%Technical hygiene
Are URLs, redirects and status codes clean?
Supports crawling and indexing, which the top-ranked factors depend on.
2%AI-native extras
llms.txt, Markdown responses, content signals.
llms.txt scores 2.0, the lowest of 23 factors. Google says no AI-specific files are needed. Weighted accordingly.