AI Search Readiness
Check if your content shows up in AI-powered search results. 8 categories, 42 checkpoints — only 23% of B2B sites pass this audit.
Why audit your AI search readiness?
- Only 23% of B2B sites pass AI search readiness — find out if yours does
- Check 42 factors across 8 categories in under 5 minutes
- Get a prioritized fix list — most impactful changes first
Only 23% of B2B websites pass a basic GEO readiness audit in 2026. This checklist assesses 8 critical areas — from Schema markup to brand authority signals — that determine whether ChatGPT, Perplexity, and Gemini cite your content. Average B2B site scores 38/100.
Start answering questions above to see your score
How Does Your Industry Score on GEO Readiness?
Average GEO readiness scores across key B2B sectors. Based on CodeFormers analysis of 500+ websites in 2025 using automated technical audit and manual content quality assessment.
| Industry | Avg Score | Top Weakness | AI Citation Rate |
|---|---|---|---|
| B2B SaaS | 45/100 | Schema Markup | 12% |
| E-commerce | 41/100 | AI Bot Access | 8% |
| FinTech | 52/100 | Content Freshness | 15% |
| Healthcare B2B | 38/100 | E-E-A-T Signals | 6% |
| Local Services | 27/100 | Schema Markup | 3% |
| Professional Services | 44/100 | Content Structure | 10% |
Source: CodeFormers analysis of 500+ B2B websites (Q1 2025). Industry average: 38/100. Citation rate measures the percentage of pages cited in ChatGPT, Perplexity, and Gemini responses.
Which Categories Have the Biggest Impact on AI Citation?
Each of the 8 categories in the checklist carries a different weight based on research correlating that factor with AI response citation rates. Higher weight means stronger impact on visibility.
| Category | Weight | Impact |
|---|---|---|
| Schema Markup | 1.5x | FAQPage schema delivers 3.2x AI citation boost |
| Content Structure | 1.4x | Semantic tables cited 2.5x more often |
| AI Bot Access | 1.3x | Blocked bots = zero AI visibility |
| Content Freshness | 1.2x | 76.4% of cited pages updated within 30 days |
| E-E-A-T Signals | 1.1x | Authority signals build AI trust |
| Brand Authority | 1.0x | External presence confirms brand legitimacy |
| Technical Foundation | 1.0x | HTTPS, speed, sitemaps — baseline requirements |
| Multi-Format | 0.8x | llms.txt and alternative formats — low but growing impact |
Scoring Methodology
The GEO content readiness checklist is built on three research pillars. First, AI citation pattern analysis: we studied over 10,000 responses from ChatGPT, Perplexity, and Gemini to identify common traits of the most-cited pages. Second, technical audits: automated tools scan robots.txt, Schema markup, page speed, heading structure, and llms.txt presence. Third, content quality assessment: manual review of E-E-A-T signals, content freshness, and semantic structure.
Scoring uses a weighted system where each of the 8 categories contributes proportionally to the overall 0-100 score. Weights were calibrated using regression analysis, comparing the presence of individual factors against actual citation rates. For example, pages with FAQPage schema were cited 3.2x more often than those without (41% vs 15%), and semantic HTML tables had a 2.5x higher citation rate. These statistics directly inform the category weights for Schema Markup (1.5x) and Content Structure (1.4x).
Source research includes: Zyppy 2025 analysis (10,000 AI responses), Seer Interactive FAQPage schema report, SparkToro robots.txt blocking data, Ahrefs content freshness analysis (76.4% of ChatGPT-cited pages updated within 30 days), and internal CodeFormers audits of 500+ B2B websites. Methodology is updated quarterly as AI crawler behaviours evolve.
Get Your AI Search Readiness Report
Full 42-point audit results with category scores, competitive gaps, and implementation guide.
Includes AI bot compatibility checker and schema.org templates
How the GEO readiness checklist works
Enter your URL
Provide your website URL and select target markets for analysis.
Run the audit
The checker evaluates structured data, content authority, and citation readiness.
Get readiness score
See your GEO readiness score with actionable improvement recommendations.
Frequently Asked Questions About GEO Readiness
What is GEO content readiness?
GEO content readiness measures how well a website is optimised for AI search engines like ChatGPT, Perplexity, and Gemini. It covers 8 areas: technical foundation, Schema markup, AI bot access, content structure, brand authority, content freshness, E-E-A-T signals, and multi-format availability.
Which AI bots should I allow in robots.txt?
The four most important AI crawlers to allow are GPTBot (OpenAI/ChatGPT), ClaudeBot or anthropic-ai (Anthropic/Claude), PerplexityBot (Perplexity), and Google-Extended (Google Gemini and AI Overviews). Blocking any of these prevents that AI from citing your content.
Does FAQPage schema really help AI visibility?
Yes. Pages with FAQPage schema are cited in AI responses at a 41% rate, compared to 15% for pages without it — a 3.2x improvement. This holds true even though Google restricted FAQ rich results in August 2023. AI crawler behaviour differs from Google's SERP policies.
How long does the GEO readiness audit take?
The manual self-assessment checklist takes approximately 3-5 minutes to complete. You answer 42 questions across 8 categories about your website's AI search readiness and receive instant scoring with prioritised quick wins.
What GEO readiness score is considered good?
Scores above 70/100 indicate strong AI search readiness. The industry average across all B2B sectors is 38/100. B2B SaaS companies average 45/100, while local service businesses average 27/100. Scores below 30 indicate the site is likely invisible in AI-assisted research.
Can JavaScript-heavy websites be optimised for AI visibility?
JavaScript-rendered content is invisible to GPTBot, ClaudeBot, and PerplexityBot — these bots cannot execute JavaScript. Key content must be server-rendered HTML. This is the single most common critical failure in GEO audits.
What is the difference between SEO and GEO?
SEO optimises for ranking in traditional search results; GEO (Generative Engine Optimisation) optimises for citation in AI-generated responses. Key differences: GEO requires statistical claims with sources (keyword stuffing hurts GEO by 10%), semantic HTML tables (2.5x citation rate), and content freshness updated within 30 days.
How often should I re-run the GEO readiness checklist?
Monthly is recommended, primarily because AI citation patterns shift as models are updated. Content freshness is also a major factor — 76.4% of ChatGPT's most-cited pages were updated within the previous 30 days. Set a recurring monthly reminder to update key pages and re-audit.