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.
AEO vs GEO
AEO vs GEO: answerability and source readiness before AI search tracking.
AEO helps answer engines extract a useful answer. GEO makes the source strong enough for generative systems to cite and recommend.
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 PackOverlap
Use AEO and GEO as one AI search readiness loop.
PageLens keeps the language consistent: no competing score model, no claim of live prompt tracking, and no separation from the existing AI Search readiness lens.
AEO makes pages answerable
AEO asks whether a page gives concise, explicit answers that an assistant can summarize without guessing.
- What the product is, who it is for and how it works are visible.
- FAQs, definitions, comparison sections and use cases answer real buyer questions.
- Schema supports the visible content and helps connect entities.
GEO makes sources citeable
GEO asks whether the public source has enough proof, access and decision context to appear in generated recommendations.
- The page is retrievable by crawlers and contains meaningful HTML.
- Claims include proof, scope, dates, methodology or supporting examples.
- Pricing, fit, trust and alternatives help a recommendation feel defensible.
PageLens reports gate evidence
The report maps AI and AEO findings into source-readiness gates, then keeps the underlying rule evidence inspectable.
- Retrievable checks crawler and index access.
- Understandable checks entity, offer and fact clarity.
- Citeable and recommendation-ready check trust, proof and buyer context.
Tracking is the later loop
After readiness fixes, AI visibility platforms can measure whether stronger source pages earn mentions, citations and share of voice.
- Do not use PageLens as a replacement for live prompt monitoring.
- Use PageLens to fix the site before tracking absence.
- Use monitoring tools once prompts, pages and evidence are defensible.
Decision guide
If the source is weak, both AEO and GEO work starts with the page.
A new or AI-built site usually needs the same first move: repair what answer engines and buyers can inspect.
Use PageLens first
When pages are blocked, vague, thin, missing proof, inaccessible or failing conversion basics.
Use visibility tools next
When you have clear buyer pages, enough evidence and a prompt set worth monitoring over time.
Keep terms honest
Call it readiness when you are fixing the source. Call it tracking when you are measuring live AI answers.
FAQ
Questions teams ask before GEO tracking.
These visible answers match the FAQ schema so visitors and answer engines see the same positioning.
Is AEO the same as GEO?
No, but they overlap. AEO focuses on making answers extractable. GEO focuses on whether the site is source-ready for generative systems to retrieve, cite and recommend.
Which one should a new site fix first?
Fix the shared source layer first: crawl access, answerable content, entity clarity, sourceable claims, trust signals, structured data and buyer decision context.
Does PageLens replace GEO monitoring tools?
No. PageLens checks readiness and repair work before live tracking. GEO monitoring tools are useful later for prompts, citations, competitors and share of voice.
Why does PageLens keep GEO inside AI Search readiness?
Because the practical site fixes overlap with AEO, SEO, content, trust and accessibility. Keeping GEO inside AI Search readiness avoids a competing score model.
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 AEO vs GEO readiness map
We will send the overlap map, the four GEO gates and the PageLens scan path for fixing source readiness before visibility tracking.