How FastAEOCheck measures your website's readiness for AI answer engines and generative engines. Every check, every point, and the research behind the weights.
Last updated: February 3, 2026 · Methodology v0.5
Your AEO Score is a number between 0 and 100 that measures how well your website is optimized for AI answer engines — systems like ChatGPT, Google Gemini, Perplexity, and Claude that pull information from the web to answer user questions.
Unlike traditional SEO, which focuses on ranking in search results, AEO focuses on being cited, extracted, and referenced by AI systems. A site can rank #1 on Google and still score poorly on AEO if its content isn't structured for machine comprehension.
The score is a weighted sum of 7 categories, each targeting a distinct aspect of AI readiness. A separate GEO Score (Generative Engine Optimization) is displayed alongside, showing how ready your site is to be discovered and cited by AI-powered search engines.
| Category | Max Points | Weight |
|---|---|---|
| Structured Data & Schema | 20 | 20% |
| Content Quality | 18 | 18% |
| Technical SEO | 17 | 17% |
| GEO Readiness 🆕 | 15 | 15% |
| AEO Readiness | 12 | 12% |
| Authority & Trust | 10 | 10% |
| Content Structure | 8 | 8% |
| Total | 100 | 100% |
Each category and the overall score maps to a letter grade:
JSON-LD schema markup provides explicit, machine-readable signals that AI systems use directly — not interpreted, not guessed, but consumed as structured facts.
Content depth, metadata, and on-page signals that determine whether AI systems consider your content worth citing.
For single-page scans, the maximum is 13 pts (homepage checks only). Multi-page scans can earn up to the full 18 pts with consistent metadata across all pages.
The infrastructure that determines whether AI crawlers can find, access, and process your content at all. If technical access is broken, nothing else matters.
lang attribute on HTML tag helps AI serve content to the right audience.Signals specifically designed for AI answer engines — content patterns that match how users query AI systems, not traditional search engines.
How well your content is organized for machine parsing — heading hierarchy, linking structure, and topical coverage.
For single-page scans, the maximum adjusts to 6 pts since multi-page coverage and hreflang checks cannot be evaluated.
Generative Engine Optimization — whether AI-powered search engines like ChatGPT, Perplexity, Google AI Overviews, and Claude can access, understand, and choose to cite your content. While AEO focuses on content structure for extraction, GEO focuses on whether AI will actually discover and reference your site.
E-E-A-T signals — Experience, Expertise, Authoritativeness, and Trust. The qualitative indicators AI systems use to assess whether your content is credible enough to cite.
Our scoring methodology is informed by research from multiple industry sources analyzing how AI systems select, extract, and cite web content:
Princeton University (2024) — Landmark GEO research analyzing how generative engines select sources to cite. Found that adding statistics boosts visibility by 37%, citing sources by 30%, and including quotations by 28%. Content with citation-worthy signals consistently outperformed optimized-for-SEO-only content in AI-generated responses.
AirOps (2025) — Analysis of AI Overview citation patterns found that 60% of cited pages are outside the top 20 organic search results. Content freshness is critical: 70%+ of citations reference pages updated within 12 months.
Conductor — Research on structured data impact shows pages with schema markup are significantly more likely to appear in rich results and AI-generated snippets, with FAQPage schema showing the strongest citation correlation.
HubSpot — Content analysis demonstrates that long-form content (1,000+ words) receives 77% more backlinks. Question-format headings match conversational AI query patterns at higher rates than declarative headings.
CXL — FAQ content with explicit question-and-answer structure captures featured snippets at 3x the rate of unstructured paragraph content, making it the highest-impact single optimization for AI visibility.
First Page Sage / Hashmeta / SEO Grow — Cross-industry analysis confirming the five pillars of AEO: structured data, content quality, technical fundamentals, E-E-A-T authority signals, and answer-formatted content.
FastAEOCheck adapts its scoring based on scan depth. A single-page scan (homepage only) adjusts the maximum achievable score for categories where multi-page data is needed:
Content Quality: Max adjusts from 18 to 13 pts. A single homepage cannot be penalized for missing inner page metadata.
Content Structure: Max adjusts from 8 to 5 pts. Multi-page coverage and hreflang checks are excluded.
This ensures a well-optimized homepage can still achieve an A+ grade on a single-page scan without being unfairly penalized for missing multi-page signals.
FastAEOCheck detects whether your site is a SaaS/product/e-commerce page or a content/editorial site, and adjusts Content Quality thresholds accordingly:
Product sites: 500+ words = full depth score, 150+ = partial. Product pages are naturally less text-heavy.
Content sites: 800+ words = full depth score, 300+ = partial. Editorial content should be comprehensive to compete for AI citations.
FastAEOCheck benchmark data — including the European web benchmark and industry-specific audits — is built on domain rankings from the Tranco research list, a research-oriented top sites ranking designed to be hardened against manipulation. Tranco aggregates data from four independent providers: Cloudflare Radar, Majestic, the Chrome User Experience Report (CrUX), and Cisco Umbrella.
The scoring methodology draws from industry research including AirOps (AI citation patterns, content freshness data), Conductor (structured data impact), HubSpot (content depth and linking analysis), CXL (FAQ snippet capture rates), and First Page Sage / Hashmeta / SEO Grow (AEO pillar frameworks).
Academic citation: Le Pochat, V., Van Goethem, T., Tajalizadehkhoob, S., Korczyński, M., & Joosen, W. (2019). Tranco: A Research-Oriented Top Sites Ranking Hardened Against Manipulation. Proceedings of the Network and Distributed System Security Symposium (NDSS 2019). doi:10.14722/ndss.2019.23386
Free instant audit across all 7 categories with detailed findings, actionable recommendations, and a dedicated GEO readiness score.
Scan Your Site →After making changes based on your audit recommendations, re-scan to verify improvements. For ongoing monitoring, monthly scans catch regressions and track progress as AI systems evolve.
Different tools measure different things. PageSpeed measures performance. Lighthouse measures web vitals. FastAEOCheck measures AI answer engine readiness — whether AI systems can find, understand, and cite your content. A site can score 100 on Lighthouse and 20 on AEO if it has no structured data or FAQ content.
Fix fails first, especially those marked HIGH impact. Technical access issues (robots.txt, HTTPS) block everything else. Then structured data. Then content optimizations. This matches AirOps' recommended implementation timeline: technical first (immediately), content structure (0-30 days), schema (30-60 days), authority building (60-90+ days).
No. AEO readiness increases your probability of being cited, but AI systems also consider content relevance, topical authority, and the specific query being asked. Think of AEO optimization as removing barriers — a high score means you've eliminated the technical and structural reasons an AI might skip your content.
SEO optimizes for ranking position in search results. AEO optimizes for being cited and extracted by AI answer engines. Key differences: AEO prioritizes structured data over backlinks, values answer-formatted content over keyword density, and focuses on extractability over click-through rates. Many SEO best practices help AEO, but AEO has unique requirements like FAQ schema and question-based headings.
GEO (Generative Engine Optimization) focuses on whether AI-powered search engines like ChatGPT, Perplexity, and Google AI Overviews will discover and cite your content. While AEO focuses on structuring content for extraction, GEO addresses the upstream questions: can AI crawlers access your site, does your content contain citation-worthy signals (statistics, sources, definitions), and is your HTML semantically structured for AI parsing? The GEO Score is displayed separately alongside the main AEO Score.