AEOlens is an Answer Engine Optimisation audit workflow. It checks whether your page is structured well enough for AI systems to crawl it, understand it, and cite it. The output is a 0–100 AEO score plus a prioritised list of exact changes that improve citation readiness.
The audit is built for the five major AI answer engines: ChatGPT, Perplexity, Gemini, Grok, and Claude. Each model responds to different signals, so AEOlens scores the content, schema, technical, and structural patterns that repeatedly affect citation behaviour across those systems.
AEOlens crawls your page using both static HTML and a rendered browser to capture server-side and client-side content accurately.
The crawl checks what is visible in raw HTML before JavaScript runs, then compares it to the rendered page so hidden value propositions, client-only headings, and missing semantic structure can be identified reliably.
30+ structural checks run in under 60 seconds. Each check is scored by its measured impact on citation probability across 5 AI models.
The score combines content, schema, technical, and structural signals into a 0–100 rating. You can see which checks failed, how many points were lost, and which AI models benefit when each issue is fixed.
Fixes are ordered by impact. Each item includes the exact code to add, which AI models it helps, and estimated point gain. Copy-paste ready.
Instead of a generic dashboard, AEOlens returns exact implementation guidance: structured data blocks, robots.txt updates, copy rewrites, and markup changes mapped to the checks that raised or lowered your score.
The crawler inspects both the raw HTML and the rendered page. That lets AEOlens detect whether the value proposition only appears after JavaScript, whether headings are missing from the server-rendered HTML, and whether semantic structure survives hydration.
It also checks machine-readable context: FAQ schema, Open Graph tags, canonical tags, robots.txt directives, llms.txt presence, and visible freshness signals such as update dates.
Each check contributes points based on its impact on citation readiness. Missing FAQ schema, blocked AI crawlers, buried value propositions, or weak answer structure cost more than smaller enhancements because they block extraction directly.
The final AEO score is a 0–100 summary of how structurally ready the page is to be cited. AEOlens also shows which AI models are helped by each fix so teams can prioritise the highest-return changes first.
A 0–100 score showing how citation-ready the page is today.
A breakdown of the exact checks that cost points and the detail behind each result.
Ordered implementation guidance with code examples, AI model impact, and estimated score gain.
Review the exact content, schema, technical, and structural signals AEOlens scores, including FAQ markup, semantic HTML, robots.txt directives, llms.txt, and freshness metadata.
Review all 30+ checks →Start with the free scan, then move to Starter, Growth, or Agency when you need more pages scanned, richer exports, and broader implementation coverage.
Compare pricing →