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A GEO/AEO score checker audits your web page across seven AI readiness categories — schema markup, AI crawler access, content structure, E-E-A-T signals, FAQ readiness, technical signals, and performance — returning a 0–100 score with specific fixes for every failed check.
Analyzes 30+ signals across 7 categories — results in under 15 seconds
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"I started tracking AI search citations for clients in late 2024. The pattern was immediate: sites getting cited in ChatGPT, Perplexity, and Google AI Overviews all shared the same structural traits — question-format headings, FAQPage schema, clear E-E-A-T signals, and AI crawler access. Sites missing even one of these consistently got ignored. This checker scores all of them in one pass."
— Rohit Sharma, Founder of SEOShouts | Meet Our Experts
GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) are the two dominant optimization frameworks for AI-era search. While traditional SEO focuses on ranking in blue-link search results, GEO and AEO focus on getting your content cited, extracted, and surfaced by AI systems — including Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Copilot.
The distinction matters because AI search is changing where web traffic originates. According to SparkToro's 2025 Zero-Click Search study, 58.5% of Google searches now end without a click — users get their answers directly from AI-generated summaries. For brands not cited in these summaries, that traffic is invisible.
AEO focuses on structuring content so that AI answer engines — voice assistants, featured snippets, and AI chatbots — can extract clear, direct answers to specific questions. It prioritizes question-format headings, FAQPage schema, concise answer paragraphs, and structured data markup.
GEO is broader — it focuses on building content that generative AI models trust enough to cite as a source. This requires not just structural signals but also E-E-A-T signals, external citations, factual depth, and proprietary data that AI models cannot generate themselves.
Research from Search Engine Journal's 2025 AI citation analysis found that pages with FAQPage schema were cited in AI Overviews 3.6x more frequently than pages without it. seoClarity found that pages with clear author attribution received 2.8x more AI citations than anonymous content. The signals are measurable — and that's exactly what this tool measures.
Schema markup is the single highest-impact signal for AI search readiness. AI models are trained to recognize Schema.org vocabulary as authoritative metadata about your page. This category checks for FAQPage schema (the most impactful for AI answer extraction), Organization schema with entity signals, BreadcrumbList for hierarchy understanding, Article schema with author attribution, and HowTo or SoftwareApplication for tool and tutorial pages. Pages with comprehensive schema markup are cited in Google AI Overviews at rates 3–4x higher than pages with no schema (Conductor, 2025).
Your content cannot be cited by AI if AI crawlers cannot access it. This category checks whether major AI bots are blocked at the page level via meta robots tags or X-Robots-Tag headers, whether a canonical tag is present to prevent duplicate content confusion, whether the page is HTTPS (a baseline trust signal), and whether an llms.txt file is referenced — the emerging standard for telling AI models what a site is about.
AI models extract answers from content that is structured for extraction. This category checks for a direct answer capsule in the first 300 characters, question-format H2/H3 headings, presence of data and statistics, appropriate paragraph length (under 120 words), comparison tables, and minimum content depth (500+ words). The key insight: AI models do not read content the way humans do. They parse structure.
Google's E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) governs both traditional ranking and AI citation eligibility. This category checks for visible author attribution, author schema with Person type, explicit expertise or credential mentions, links to About/Team pages, external citations and references, publication dates, contact information, and legal page links.
FAQs are the highest-ROI content format for AI citation. AI models are specifically designed to match user questions to pages that answer them. This category checks for FAQPage schema with 3+ Q&A pairs, a visual FAQ section in the HTML, question-format headings throughout the content, and substantive answers (50+ words each) in the FAQ schema.
Basic technical signals that affect AI model confidence in your content: meta description presence, Open Graph tags (used by AI scraping tools for entity data), HTML lang attribute for language classification, UTF-8 charset declaration, viewport meta for mobile-friendliness, and hreflang for multilingual sites.
Performance signals that correlate with AI citation worthiness: GZIP/Brotli compression, image alt text coverage, browser caching headers, and lazy loading. Slower pages are crawled less frequently by all bots — including AI training crawlers — reducing the recency and completeness of your content in AI model training data.
| Score Range | Grade | What It Means |
|---|---|---|
| 85–100 | A — AI-Ready | Strong across all categories. Likely being cited in AI responses. |
| 70–84 | B — Good | Most signals present. Fix remaining high-impact issues to reach top tier. |
| 55–69 | C — Average | Several gaps. AI models may crawl but rarely cite this page. |
| 40–54 | D — Poor | Major structural issues. Content likely ignored by AI answer systems. |
| 0–39 | F — Critical | Not AI-ready. Fundamental signals missing across multiple categories. |
Always fix high-impact failed checks first. The tool labels every failed check as High, Medium, or Low impact. High-impact fixes — missing FAQPage schema, no answer capsule, AI crawlers blocked — move your score the most.
A page going from grade F to grade C typically requires fixing 3–5 high-impact checks. Going from C to A requires fixing medium-impact checks systematically.
| Dimension | SEO | AEO | GEO |
|---|---|---|---|
| Goal | Rank in blue-link results | Get extracted as a direct answer | Get cited by generative AI models |
| Primary signals | Backlinks, on-page, authority | FAQPage schema, question headings, answer capsules | E-E-A-T, structured data, proprietary data, citations |
| Traffic mechanism | User clicks on blue link | Featured snippet / voice answer (often zero-click) | Citation in AI response (brand awareness + some clicks) |
| Content format | Long-form, keyword-rich | Q&A structured, concise answers | Expert-authored, data-rich, citable |
| Time to results | 3–6 months | 2–8 weeks | 4–12 weeks |
The optimal strategy in 2026 is to optimize for all three simultaneously. They share many signals: structured content helps SEO and AEO; E-E-A-T signals help SEO and GEO; schema helps SEO, AEO, and GEO.
If your score is below 60, these changes will have the biggest immediate impact:
This single change is responsible for more AI citation improvements than any other. Use our Schema Generator to create FAQPage markup. Impact: +8–15 points.
A 120–300 character direct-answer paragraph as the first content on the page. No preamble — just a factual answer to the primary question. AI models extract this as the page summary.
Change "Our Services" to "What SEO Services Does SEOShouts Offer?" AI models match user question intent to question-format headings directly. Convert 2–3 H2s per page.
Organization schema with sameAs links to your LinkedIn, Twitter/X, YouTube, and other profiles tells AI models that your brand is a real entity with verified presence across the web.
Check your robots.txt for blocks on GPTBot, ClaudeBot, PerplexityBot, and Google-Extended. Use our Robots.txt Generator to fix this correctly.
After implementing fixes, re-run this checker weekly. AI crawlers re-index pages within days. Schema changes show in rich results within 2–4 weeks. Citation frequency increases in 4–12 weeks.
Improving your score is step one. Verifying it with real AI citation tests is step two. Here's the weekly testing protocol we recommend:
| Feature | SEOShouts | AI Rank Lab | HubSpot AEO Grader | Insites GEO | Zicy Extension |
|---|---|---|---|---|---|
| Composite 0–100 Score | ✅ | ✅ | ✅ | ✅ | ✅ |
| Schema Markup Analysis | ✅ Deep (6 checks) | ✅ Basic | ✅ Basic | ❌ | ✅ |
| AI Crawler Access Check | ✅ | ✅ | ❌ | ✅ | ✅ |
| E-E-A-T Signal Scoring | ✅ 8 checks | ❌ | ❌ | ✅ Basic | ❌ |
| FAQ/Q&A Readiness | ✅ 5 checks | ✅ | ✅ | ❌ | ✅ |
| Content Structure Audit | ✅ 8 checks | ❌ | ❌ | ✅ | ❌ |
| Per-Check Fix Recommendations | ✅ Every check | ❌ | ❌ | ❌ | ❌ |
| llms.txt Detection | ✅ | ❌ | ❌ | ❌ | ❌ |
| No Login Required | ✅ | ✅ | ✅ | ❌ | ✅ |
| Free | ✅ Fully free | ✅ Limited | ✅ Basic only | ❌ Paid | ✅ |
Everything you need to know about GEO & AEO optimization
Audit AI search readiness across 7 categories with per-check fix recommendations.
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And exactly what to fix — 30+ checks across 7 categories, results in under 15 seconds.