No AI, no model bias
No language model reads or judges your pages. Each criterion is a written rule: what it checks, why, and how much it weighs. No one, human or machine, adds personal taste.
Scoring grid 2026.10.9
Cairn scores each site out of 100 by applying 62 verifiable rules every morning, split into three pillars: SEO for search engines, GEO for AI answer engines, AIO for brand and trust. With no AI, so no model bias, and with very few resources.
No language model reads or judges your pages. Each criterion is a written rule: what it checks, why, and how much it weighs. No one, human or machine, adds personal taste.
The same site on the same day gets the same score. Anyone can redo a measurement by hand. The scoring grid has a version number, and its changes are counted separately.
One check a day, one crawl a week, the HTML and a few text files, never more than six connections at once. No GPU, no browser launched on our side.
og:type, then the URL), and judges each type on its own grid: structured price, reviews, described images and text of its own for a product; introduction, pagination and list for a category; author, date, markup and sources for an article. A site is an online store above 20% of product pages. A type a competitor does not have is stated, and does not count as a failure.An average would let good details hide a locked door. So a few blocking issues cap the score, whatever happens elsewhere:
The score measures verifiable best practices. It predicts neither a ranking nor a citation: no one knows those formulas.
Each one carries its evidence level: established (documented by the search engine or by a standard), reported (observed in published studies) or uncertain effect (plausible, with no public evidence, and weighing little). In the tool, each criterion also states what it found and the fix that resolves it.
40% of the score, 33 criteria
Can Google and Bing crawl the site, index it and present it well? This is the foundation of the other two pillars: the answers Google and Bing generate draw on their index.
30% of the score, 12 criteria
Can answer engines (ChatGPT, Claude, Perplexity, Copilot) read the site and quote passages from it? Access for their crawlers, text readable without JavaScript, content that is structured, dated and sourced.
30% of the score, 17 criteria
Is the brand recognized, and do the pages carry it? A unique, declared name, present in titles, on the homepage and in the text, so that every quoted passage stays attributed; then what builds trust: snippets allowed, structured data, trust pages, presence in open databases.
Each criterion states why it matters, and where that comes from. The main sources:
See what the method says about your sites.
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