A deterministic scoring grid out of 100, recalibrated on September 30, 2026 from our study of 317 pages, cited or not by AI engines, and backed by published research: Princeton / Georgia Tech (KDD 2024), Kevin Indig (1.2M ChatGPT responses), AirOps, State of AI Search 2026. Every point is explained below.
3 automated analysis steps
Fetching the page
Detekia downloads your page's HTML the way an AI crawler would. If the page is built with JavaScript, it is rendered in a headless browser to retrieve its content. Text, structure and metadata are extracted, along with your robots.txt and llms.txt files.
Deterministic scoring
Our engine computes the 6 criteria by inspecting the page: headings, paragraphs, tables, links, dates, structured data. The only outside call is Wikidata's public API, to find your brand's entry. No AI is involved in the score: the same page gets the same score.
Recommendations and citation test
Every criterion below its maximum gets recommendations based on what was found on your page. In parallel, one of OpenAI's models is asked 5 questions about your topic to check whether your site is cited. This test is not part of the score.
Test a page now
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A score out of 100, 6 criteria
The weights come from our calibration study: answer structure weighs the most, because it best separated cited pages from the rest. If the "Readable by AI" prerequisite is missing, the score is capped at 40.
- 01Answer structure40 pts
- 02Content depth15 pts
- 03Evidence & data15 pts
- 04Freshness15 pts
- 05Entity clarity5 pts
- 06External signals10 pts
- Total score100 pts
The score is the sum of the 6 criteria, out of 100, without normalization. One prerequisite earns no points: AI search crawlers (OAI-SearchBot, ChatGPT-User, PerplexityBot, Perplexity-User, Claude-SearchBot, Claude-User, Googlebot, Bingbot) must be allowed in robots.txt, the page must not be set to noindex and its content must be present without JavaScript. If any of these is missing, the score is capped at 40.
The 6 criteria at a glance
| Criterion | Points | What is measured | Main source |
|---|---|---|---|
| Answer structure | 40 | Short answers under headings, question headings, tables, short paragraphs, heading hierarchy | Search Engine Land, content traits ChatGPT quotes |
| Content depth | 15 | Word count of the main content, thresholds adapted to the page type | Our September 30, 2026 study |
| Evidence & data | 15 | Figures, external sources linked in the content, attributions ("according to") | Aggarwal et al., KDD 2024 |
| Freshness | 15 | Age of the most recent date, visible date, current year in the content | AirOps, State of AI Search 2026 |
| Entity clarity | 5 | Brand name in the title, the H1 or the opening text, meta description, organization in structured data | Hypothesis, not confirmed by our study |
| External signals | 10 | Wikidata entity linked to the domain, Wikipedia article, customer reviews and testimonials | AirOps, State of AI Search 2026 |
| Total | 100 | ||
The 6 criteria in detail
- 01
Answer structure
40 ptsWhat we measure
Measures whether the page reads as a series of answers. For each H2 or H3 heading, we check whether it is followed by a short answer (15 to 70 words): up to 14 points depending on the share of headings that have one. On top of that: question-format headings (up to 9 points), a data table (8 points, or 3 points for at least two lists), paragraphs of 20 to 80 words (up to 4 points) and heading hierarchy: one H1 and at least two H2s (5 points). Short answers placed under a heading are among the traits ChatGPT quotes most (Search Engine Land).
Good signal
A two- or three-sentence answer under each heading, at least three question headings, a comparison table, short paragraphs, a single H1.
Bad signal
Vague headings ("Our solutions") followed by long blocks of text, no table, several H1s or no H2.
- 02
Content depth
15 ptsWhat we measure
Counts the words of the main content (main or article tag, otherwise the whole page). Thresholds depend on the page type: for a homepage, from 150 words (2 points) to 1,500 words (15 points); for other pages, from 300 words (2 points) to 3,000 words (15 points), with steps at 600, 1,200 and 2,000 words.
Good signal
A page that covers its topic fully: definitions, steps, examples, frequently asked questions.
Bad signal
Only a few paragraphs, or main content drowned in menus and footer.
- 03
Evidence & data
15 ptsWhat we measure
Counts figures (up to 6 points from 10 figures), links to external sources within the content, excluding social networks (up to 5 points from 3 links), and explicit attributions such as "according to", "a study" or "source:" (up to 4 points from 2). Adding statistics and citing sources are among the methods that most increase visibility in generative answers (Aggarwal et al., KDD 2024).
Good signal
Precise figures, each tied to a source linked in the text.
Bad signal
Claims with no figure or source, or links only to your social media accounts.
- 04
Freshness
15 ptsWhat we measure
Takes the most recent date on the page, in structured data or in the text: 9 points if it is under 90 days old, 6 points if under a year, 2 points if under two years. Plus 3 points if a date is visible to readers and 3 points if the current or previous year appears in the content. Pages left without an update for more than three months are over 3 times more likely to lose AI visibility (AirOps, 2026).
Good signal
A visible "Updated on" mention, dateModified in structured data, content reviewed within the last three months.
Bad signal
No date, or a last update more than two years old.
- 05
Entity clarity
5 ptsWhat we measure
Checks that AI engines know who is speaking: brand name (or the domain name without its extension, at least 4 letters) in the title tag (1 point), in the H1 or the first 120 words (2 points), a meta description of 70 to 320 characters (1 point), an organization named in structured data (1 point). Our study did not confirm the effect of these signals: it is a hypothesis, hence the low weight.
Good signal
The brand name in the page title and the first sentence, a meta description that says what the company does.
Bad signal
A generic title ("Home"), a brand name that only appears as an image in the logo.
- 06
External signals
10 ptsWhat we measure
Checks what exists about your brand outside your site: a Wikidata entity whose official website (property P856) is your domain, or the same name with another extension, for example lanson.fr for lanson.com (5 points), a French or English Wikipedia article (2 points), and customer reviews or testimonials on the page (3 points). About 85% of brand mentions in AI answers come from third-party pages (AirOps, 2026).
Good signal
An up-to-date Wikidata entry pointing to your site, a Wikipedia article, customer reviews visible on the page.
Bad signal
No Wikidata entry, or one pointing to another domain, and no reviews on the page.
The prerequisite: readable by AI
The score is the sum of the 6 criteria, out of 100, without normalization. One prerequisite earns no points: AI search crawlers (OAI-SearchBot, ChatGPT-User, PerplexityBot, Perplexity-User, Claude-SearchBot, Claude-User, Googlebot, Bingbot) must be allowed in robots.txt, the page must not be set to noindex and its content must be present without JavaScript. If any of these is missing, the score is capped at 40.
Page types
Detekia recognizes four page types: the homepage (site root), the article (Article, BlogPosting, FAQPage… structured data, or a /blog, /guide… URL), the product or service page (Product, Offer or Service structured data) and other pages. Only the depth thresholds change: a homepage does not need as many words as an article.
The Wikidata check
It is the score's only outside call. Detekia queries the public Wikidata API to find an entity whose official website (property P856) is your domain, or the same name with another extension (lanson.fr for lanson.com), then checks whether it has a French or English Wikipedia article. The result is kept for 30 days per domain. No AI is involved.
Our calibration study
On September 30, 2026, we analyzed 317 pages from 40 websites frequently cited in the AI visibility audits run by Beeleven. For each site, we compared pages actually cited as sources by Perplexity, ChatGPT or Claude with uncited pages from the same site, on the same topics.
What sets cited pages apart
Short answers under headings, question-format headings, tables, a recent update date and more complete content.
What makes no difference
Identified author, Organization schema, Contact, About or legal pages, social media, sameAs links, expert quotes, up-to-date copyright. Crawler accessibility was at its maximum on almost every page.
What works the other way
Editorial neutrality: "best…" comparison pages are cited a lot, while the former score penalized them.
Where citations go
On the topics studied, 79 to 89% of citations go to third-party sites (comparison sites, media, public websites), not to brand websites.
Former and current grid
With the former score (7 criteria), the cited page had the best score in 72% of same-site comparisons, with an average gap of 5.5 points, half of which was explained by page length. With the current grid, it is 80% of comparisons, with an average gap of 12.6 points.
What we removed, and why
Authority & E-E-A-T
Identified author, trust pages, Organization schema: none of these signals set cited pages apart. The brand name is still measured, with a low weight, in Entity clarity.
Editorial neutrality
It penalized comparison pages and "the best" wording, which are among the most cited pages.
AI accessibility
Almost every page got the maximum: the criterion did not distinguish between pages. It becomes the "Readable by AI" prerequisite, which caps the score at 40 when missing.
External presence
Social media and sameAs links made no difference. The criterion is replaced by External signals, checked at the source (Wikidata, Wikipedia, customer reviews).
Citability, verifiability and freshness
Their useful signals are kept and reweighted in Answer structure, Content depth, Evidence & data and Freshness. Expert quotes and up-to-date copyright, with no measured effect, no longer count.
Analysis limitations
A study with limits
Our study covers large French websites in a few industries: it does not tell the whole story for small sites or other industries. It measures a correlation, not a cause: a maximum score does not guarantee being cited. Pages protected against bots could not be read.
A grid to be revalidated
The current grid was evaluated on the pages used to build it. We will revalidate it on the next AI visibility measurements and publish any adjustments on this page.
Single-page analysis
Detekia analyzes precisely the page you submit (homepage by default, or any other URL of your site), not the entire site. A homepage, an article and a product page do not get the same results: to analyze several pages, run the analysis on each of them.
Non-measurable factors
Intrinsic content quality, offline reputation, inbound backlinks and AI citation history cannot be measured by our technical analysis.
Algorithm evolution
AI citation criteria evolve regularly. Our methodology is updated but may lag behind the latest practices of AI models.
Dynamic websites
If a page's content only appears with JavaScript, the "Readable by AI" prerequisite is not met and the score is capped at 40: a crawler that does not run JavaScript cannot see that content.
The Detekia score, and what comes next
The free score measures whether your page is ready to be cited. Beeleven's AI visibility audit measures what AI engines actually say about your brand.
Sources & references
- Aggarwal et al. (2023). "GEO: Generative Engine Optimization", arXiv:2311.09735 (Princeton / Georgia Tech, KDD 2024)
- Kevin Indig, 1.2 million ChatGPT responses analyzed (Search Engine Land)
- Answer capsules and ChatGPT citations (Search Engine Land)
- AirOps, The 2026 State of AI Search
- Ahrefs, 75,000 brands in AI Overviews (Brand Radar)
- Ahrefs, structured data and AI citations (2026)
- Conductor, 2026 AEO / GEO Benchmarks Report
- Yext, AI citations analysis
- BrightEdge, AI Overviews and the organic top 10
- Go Fish Digital, GEO case study
- Google Search Central, helpful content and E-E-A-T
- OpenAI, crawler documentation (GPTBot, OAI-SearchBot, ChatGPT-User)
- Anthropic, web crawlers and robots.txt
- Schema.org, official documentation (FAQPage, Article, Organization)
- Wikidata, property P856 (official website)
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