Retrievable
Can major search and AI crawlers access meaningful content?
Crawler access, robots policy, indexability, stable responses, llms.txt and server-readable content.
Report verdict: ready, needs work or not checked.
GEO readiness audit
Generative engine optimization readiness audit.
A PageLens GEO readiness audit checks whether the live site is source-ready before a team invests in AI citation or share-of-voice monitoring.
Source readiness, not rank trackingFour GEO gates from report evidenceFix prompts and re-scan workflow
Four source-readiness gates
GEO begins with the source. PageLens repairs the source before you track the answer.
The PageLens report maps AI Search and AEO findings into these gates. Gate verdicts are based on visible evidence and rule IDs, not a separate black-box GEO score.
Understandable
Can the system identify the entity, offer, audience and facts?
Semantic structure, entity clarity, commercial clarity, answer blocks and structured context.
Report verdict: ready, needs work or not checked.
Citeable
Is the information explicit, scoped and trustworthy enough to cite?
Citation quality, structured data, proof, sourceable claims and trust signals.
Report verdict: ready, needs work or not checked.
Recommendation-ready
Would the cited landing page support a confident buyer recommendation?
Pricing, use cases, trust context, comparison coverage and buyer decision evidence.
Report verdict: ready, needs work or not checked.
GEO scope guardrails
Use PageLens before tracking, not as a claim of live AI visibility.
The issue 99 content stays scoped to the source layer: what your public pages expose, what the report can prove and what a team should repair before buying prompt or citation monitoring.
Source readiness, not live monitoring
PageLens checks crawl access, clarity, proof and buyer context. It does not monitor live prompt responses, citations, competitors, sentiment or share of voice.
Use GEO trackers after the source can stand up
Visibility platforms are the later measurement layer once pages are retrievable, understandable, citeable and recommendation-ready.
One AI Search readiness model
The content uses the existing PageLens AI Search readiness lens and gate verdicts instead of creating a competing black-box GEO score.
Scanner and report workflow
Move from GEO content planning to source-readiness proof.
These pages point readers into the PageLens scanner and report workflow: start with the Free Growth Baseline, review source evidence, export fixes and re-scan before using live AI visibility tracking.
Step 1
Start with the Free Growth Baseline
Paste one public URL and open a private preview report before deciding whether the source needs the full AI Search readiness workflow.
Run Free Growth BaselineStep 2
Run AI Search readiness when the source matters
Use the AI Search readiness preset when you need the paid source-readiness gate pass, fix prompts and deeper evidence.
Run AI Search readinessStep 3
Review report evidence
Use the report anatomy to see how PageLens exposes rule evidence, source-readiness verdicts and fix priorities without inventing a black-box GEO score.
See the report workflowStep 4
Export fixes and re-scan proof
Use the Launch Pack workflow to export repair prompts, deploy fixes and re-scan before handing stronger source pages to AI visibility trackers.
View Launch PackAudit scope
What the PageLens GEO readiness audit checks.
The audit uses source-readiness gates derived from AI and AEO rule evidence. The detailed findings remain visible below the gate summary.
Retrievable source
Can major search and AI crawlers access meaningful, stable page content?
- Robots policy, indexability and crawler access are checked where observable.
- Rendered HTML, metadata, headings, links and source files are inspected.
- The report flags when client-only content or redirects weaken retrieval.
Understandable entity
Can an answer engine identify the product, category, audience, facts and page purpose?
- Brand, product, legal entity and category language are checked for consistency.
- Offer, audience, pricing and use-case clarity are reviewed.
- Structured data is checked as supporting evidence, not a substitute for visible copy.
Citeable evidence
Are claims explicit, scoped and supported enough to quote without inventing context?
- Proof points, examples, methodology, source attribution and dated facts are reviewed.
- Trust pages, policy pages, support signals and public profiles are checked.
- Weak or unsupported claims are turned into concrete content fixes.
Recommendation-ready page
Would the page support a confident buyer recommendation if it were cited?
- Pricing, fit, alternatives, limitations and conversion paths are reviewed.
- Mobile UX, accessibility, labels and consent copy are checked alongside content.
- The report gives a practical repair path before AI visibility dashboards.
Output
The audit gives fix evidence, not live citation monitoring.
Use the PageLens report to repair the source. Use GEO visibility tools later to monitor whether better source pages show up in AI answers.
Gate verdicts
Ready, needs work or not checked, derived from report findings instead of a standalone GEO score.
Fix prompts
Markdown-ready repair guidance for AI builders, coding agents and human teams.
Re-scan proof
Paid workflows can re-scan after deployment so teams can prove source-readiness fixes landed.
FAQ
Questions teams ask before GEO tracking.
These visible answers match the FAQ schema so visitors and answer engines see the same positioning.
What is a generative engine optimization readiness audit?
It is a live-site audit for the source layer behind GEO: retrieval access, entity clarity, citeable evidence and buyer recommendation context.
Does this audit monitor ChatGPT or Perplexity citations?
No. This page is scoped to readiness. PageLens helps fix the source before live prompt, citation, competitor or share-of-voice monitoring.
What do the GEO gates mean in a report?
Retrievable checks access, understandable checks entity and offer clarity, citeable checks proof and source quality, and recommendation-ready checks buyer decision context.
How does PageLens help after the audit?
The report prioritizes blockers, exports repair prompts and supports re-scans so teams can verify deployed improvements.
Fix the citeability gap before tracking it.
Run the Free Growth Baseline for the first answer, or use AI Search readiness when you need source-readiness gates, fix prompts and a stronger handoff to future AI visibility tracking.
Get the GEO audit scope
We will send the readiness audit scope, the gate model and the scan workflow for fixing the source before AI visibility tracking.