If AI bots can't crawl it,
AI engines can't cite it.
390 automated checks across seven pillars. Crawlability, schema, entity structure, AI bot access, Core Web Vitals, internal linking, and content readiness. Log in, run it, get your prioritised fix list — in minutes.
Results in minutes · No manual steps required
How it works
Three steps. No manual work on your end after step one.
Connect your site
Add your domain inside the platform and optionally connect Google Search Console for deeper crawl and indexation analysis.
Run the audit
390 checks fire automatically across all seven pillars. No forms to fill. No waiting for a report to be written.
Fix from your inbox
Every flagged issue becomes an inbox task with a recommended fix. Push directly to your CMS or GitHub — or export the fix list.
Search is now answer-first.
If your technical stack isn't AI-ready, you're invisible.
Google's AI Overviews, ChatGPT, Perplexity, Gemini, and the rest are all retrieval-augmented systems. They crawl. They index. They parse schema. They evaluate entity structure. Technical readiness is the floor that everything else is built on.
Four layers. Every barrier between your site and AI.
Each layer addresses a different class of AEO blocker. The audit covers all four.
Access & Indexing
What we check
robots.txt audit, llms.txt audit, AI bot access rules (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Amazonbot), XML sitemap validation, canonical tag audit.
Why it matters for AI
If an AI engine's crawler is blocked in robots.txt, it cannot retrieve your content regardless of how well-structured it is. llms.txt is the new robots.txt for LLMs — most sites have neither a valid file nor a strategy.
URL & Site Structure
What we check
Internal linking architecture, crawl depth analysis, orphan page detection, redirect chain audit, pagination structure.
Why it matters for AI
AI engines follow the same crawl paths as Google. Deep pages with weak internal linking don't get indexed, and unindexed pages don't get cited.
On-Page & Schema
What we check
Per-template schema review (Organization, WebSite, Article, Product, Service, FAQPage, BreadcrumbList), entity markup density, answer-first paragraph structure, heading hierarchy.
Why it matters for AI
Schema is the machine-readable layer AI engines extract from when constructing answers. Missing or invalid schema means your content gets ignored even if it ranks.
Technical Performance
What we check
Core Web Vitals (LCP, INP, CLS), render path analysis (SSR vs CSR), JavaScript execution blocking, image optimization, server response time.
Why it matters for AI
AI crawlers time out on slow pages. A page that takes 4 seconds to render is a page that doesn't get cited.
Who benefits from the audit?
Common questions
What's the difference between SEO and AEO?
SEO helps your site rank in Google, Bing, and other search engines. AEO — Answer Engine Optimization — ensures your content is structured so that AI engines can parse, extract, and cite it when generating answers. A site can rank #1 on Google and still be invisible in ChatGPT, Perplexity, Gemini, and AI Overview.
Do technical fixes really help with AI Overviews and ChatGPT?
Yes, materially. AI engines rely on the same kind of structured, crawlable, semantically clean content that Google rewards. A site with blocked AI crawlers, missing schema, and slow render performance will consistently underperform in citation rate — regardless of content quality.
How do I get started?
Sign up for a free account. Once inside the platform, connect your site and run the Technical Audit. The 390-check diagnostic runs automatically — results appear in minutes, no manual steps required.
What access do you need?
Google Search Console (read access) is strongly recommended for crawl-error and indexation analysis. Optional: Google Analytics for traffic pattern context. We never require write access. If you connect a CMS or GitHub, the platform can dispatch fixes directly — but this is optional.
Can I fix issues directly from the audit?
Yes. Every flagged issue in the audit creates an inbox task with a recommended fix. If you've connected GitHub or a supported CMS (WordPress, Webflow, Framer, Shopify, Contentful, Sanity), the platform can push the fix without you leaving the dashboard.
My CMS limits what I can change. Will this still help?
Yes. The audit pinpoints exactly which fixes are CMS-bounded and which are template-level. We surface both clearly so you know what's actionable inside your CMS and what needs a developer.
I had an audit done elsewhere. Is this different?
Most audits check 30–50 signals. GetCited runs 390 checks — including AI-specific signals most tools don't cover: llms.txt validity, AI bot crawler access rules, entity structure consistency across Wikipedia and Wikidata, and knowledge graph alignment.
My audit is older than 6 months. Do I need a new one?
If you've shipped a redesign, replatform, or significant content change, run a fresh audit. If the site is unchanged and your citation pattern is stable, the old results are mostly still valid. You can re-run the audit at any time inside the platform.
Should I fix my current site or rebuild?
Almost always fix first. A targeted audit and fix list usually delivers a measurable improvement inside 60 days. A rebuild delays that and introduces new technical risk. We surface a rebuild recommendation only when the existing architecture is fundamentally incompatible with AI crawlability — which is rare.
What's in the audit output?
A 7-pillar AEO scorecard with per-check results, a prioritised fix list scored by expected citation impact and engineering effort, and direct links to inbox tasks for every flagged issue. Every task includes what to fix, why it matters, and how to fix it.
Find out what's blocking your AI citations.
Get access to the platform. Run the audit. Get your prioritised fix list in minutes.
Results in minutes · No manual steps required