Full transparency

How Detekia
calculates your score

Our scoring framework is based on the latest GEO research: Princeton/Georgia Tech (KDD 2024), ALM Corp (1.2M ChatGPT responses), AirOps State of AI Search 2026, Ahrefs Brand Radar 2026. Each criterion is weighted by its proven impact on AI citations.

The process

3 automated analysis steps

01
Content scraping
Detekia retrieves the full HTML of your page via a specialized AI scraping service. The raw HTML, text and metadata are extracted.
02
Heuristic analysis
Our analysis engine computes 7 heuristic scores by inspecting the DOM: tags, attributes, ratios, counts. These scores are reproducible and deterministic.
03
AI analysis
Our AI analysis engine evaluates the text content to assess editorial neutrality and generate contextualized recommendations. The final score incorporates this result.
3 AUDIT LEVELS

Same methodology, 3 levels of depth

The 7 criteria and scoring are identical across all 3 audits. What changes is the depth of analysis.

Free
1 page. โ‚ฌ29
Complete. โ‚ฌ99
7 GEO criteria analyzed
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Pages analyzed
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10
AI visibility test
Partial
10 queries
30 queries
Recommendations
Preview
Detailed + code
Detailed + code
Cross-page patterns
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Prioritized action plan
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Per-page breakdown
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Downloadable PDF
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Report accessible
24h
10 years
10 years
Delivery time
30 sec
1 min
5-10 min
See our detailed plans โ†’
Score calculation

A score out of 100, 7 criteria

Each criterion is weighted based on its proven impact on AI citations (Princeton/KDD 2024, ALM Corp 2026, AirOps 2026).

25
pts
Citability
20
pts
Verifiability
15
pts
Authority E-E-A-T
10
pts
AI Accessibility
10
pts
Editorial Neutrality
10
pts
External Presence
10
pts
Freshness
Criteria details

The 7 criteria in detail

๐Ÿ’ฌ
Citability & Direct Answer
25 pts
What we measure
Measures how easily AI engines can extract self-contained, citable passages from your content. Detects answer capsules (20-50 words directly answering a question under an H2), front-loading (key info in the first 30%), content depth, question-format headings, and modular paragraphs.
โœ“ Good signal
Answer capsules under each H2, question-format headings, substantial introduction, 40-60 word extractable paragraphs.
โœ— Bad signal
No answer capsules, vague headings ("Our solutions"), key content buried at bottom, paragraphs too long or too short.
๐Ÿ“Š
Verifiability & Evidence
20 pts
What we measure
Evaluates whether your content contains verifiable facts that AI can cite with confidence: sourced data points, links to external sources, visible dates, expert quotations, comparison tables.
โœ“ Good signal
5+ data points with sources, 5+ external links to recognized references, visible publication dates, expert quotations.
โœ— Bad signal
Unsourced claims, no external links, no visible dates, purely qualitative content.
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Authority & E-E-A-T
15 pts
What we measure
Measures your site's credibility in the eyes of AI. Checks author identification, trust pages (Contact, Legal, About), Organization/Person schema, and use of definitive language.
โœ“ Good signal
Identified author with bio, Contact/Legal/About pages, Organization schema, definitive language ("X is" rather than "X might be").
โœ— Bad signal
No identified author, no About page, no schema, hedging language with lots of conditionals.
๐Ÿค–
AI Accessibility
10 pts
What we measure
Checks whether AI SEARCH bots (OAI-SearchBot, ChatGPT-User, PerplexityBot, Claude-Web) can access your content. Critical distinction: blocking training bots (GPTBot) doesn't affect visibility, but blocking search bots does.
โœ“ Good signal
AI search bots allowed, server-rendered content, up-to-date sitemap, lang and canonical defined.
โœ— Bad signal
AI bots blocked in robots.txt, content rendered only via JavaScript, no sitemap.
โš–๏ธ
Editorial Neutrality
10 pts
What we measure
AI-evaluated. Measures whether your content is factual and informative rather than promotional. AI engines deprioritize pages with unproven superlatives.
โœ“ Good signal
Factual, educational tone, sourced data, objective comparisons, honest "limitations" section.
โœ— Bad signal
Superlatives ("the best", "#1"), unproven claims, aggressively commercial tone.
๐ŸŒ
External Presence & Signals
10 pts
What we measure
Measures your visibility beyond your own site. 85% of AI mentions come from third-party pages. Detects social media, press mentions, testimonials, outbound links and multi-platform presence.
โœ“ Good signal
Presence on 3+ social platforms, press mentions ("as seen in"), customer testimonials, external source links.
โœ— Bad signal
No social media, no press mentions, no testimonials, isolated site with no outbound links.
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Freshness & Timeliness
10 pts
What we measure
Measures whether your content is perceived as current. Pages not updated quarterly lose 3x more AI citations. Checks publication dates, dateModified, copyright and recent content.
โœ“ Good signal
Visible publication date, dateModified in schema, current copyright, current-year content.
โœ— Bad signal
No visible dates, no dateModified, old copyright, content that appears dated.
Score normalization
The score is calculated out of 100 points: 6 technical criteria (90 pts max) + AI-evaluated Editorial Neutrality (10 pts). The direct score is displayed without normalization.
Documented case studies
Each report includes real-world case studies on the 3 weakest criteria (SEO Vendor, Ahrefs, Stackmatix, etc.) to illustrate concrete impact of optimizations.
Analysis limitations
Page-level analysis
Detekia analyzes precisely the page you submit (homepage by default, or any other URL of your site), not the entire site. For most sites, the homepage concentrates the global signals (robots.txt, Organization schema, authority, social presence) and provides a representative diagnostic. To analyze multiple pages with a consolidated report, see our complete audit.
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
Websites that load their content entirely via client-side JavaScript (SPA without SSR) may receive underestimated scores because the content isn't accessible to the scraper.
Sourcesโ€”Aggarwal et al., Princeton / Georgia Tech, KDD 2024ยทALM Corp, 1.2M ChatGPT citations (2026)ยทAirOps State of AI Search (2026)ยทConvertMate GEO Benchmark (2026)ยทAhrefs Brand Radar & Schema Study (2026)ยทConductor AEO/GEO Benchmarks (2026)ยทYext 17.2M AI Citations (2026)ยทBrightEdge AI Search (Mai 2026)ยทGo Fish Digital GEO Case Study (2026)

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