Answer structure evidence
Measure JSON-LD, FAQ and question coverage from the project crawl and compare it with provider-observed visibility in a separate view.
GEO & AEO Readiness
Inspect captured page structure for answer readiness, then track provider-observed visibility separately.
GEO & AEO Readiness evaluates supported structural signals such as structured data, FAQs and question coverage, while provider-observed visibility remains a separate measurement.
Why it is useful
A clear decision, with the supporting evidence close by
Generative engines and AI Overviews, ChatGPT, Perplexity, Gemini and Google, pull answers from structured data, entities, and clear question-and-answer content, but most sites have no idea which of their pages are actually ready to be retrieved, quoted and cited. Guessing at GEO and AEO wastes schema and snippet work on the wrong pages.
Source-labelled calibration
Compare NovaCrawl evidence with the specific connected Search Console fields available for that URL; neither source is presented as the other.
Workspace retrieval test
Ask questions against your configured project content and inspect what the selected workspace model retrieved, without generalizing that result to other engines.
Data and evidence
See the evidence behind each result
AEO Readiness reads captured pages against NovaBrain criteria for structured data, entity declarations and question-and-answer structure. It measures on-page readiness, which is a property of your pages, and keeps citation observations, which belong to checked external answers, separate.
Primary input
Crawl, schema, optional GSC
Product layer
NovaBrain 30-criteria AEO audit
Primary output
Page-level GEO/AEO gap queue
How to read this result
Crawl evidence measures readiness, not guaranteed inclusion in an AI answer; citation performance belongs to AI Citation Tracker.
Core capabilities
What you can do with GEO & AEO Readiness
The report scores structured-data coverage across the project, breaks down which schema types are present, counts FAQ, How-To and Q&A pages, and lists question pages that carry no answer schema. Each number resolves to the URLs behind it, so an opportunity is a list of pages rather than a percentage.
01
Real readiness from your crawl
Novaverb measures your site's answer-engine readiness from your own crawl data, not a generic checklist. It scores structured-data coverage, answer-snippet coverage, and how many question-style pages actually carry answer schema, then rolls them into one readiness number. Every figure comes from pages we crawled on your active project.
- Percent of HTML pages carrying JSON-LD
- Meta-description (answer-snippet) coverage
- Social card coverage
- Blended readiness score
02
Schema type breakdown
It parses the JSON-LD on your pages and shows the full distribution of the schema types you publish, calling out the three answer engines lean on most: FAQ, How-To, and Q&A. You see exactly where answer-ready markup already exists and where it is missing.
- FAQPage, HowTo, and QAPage counts
- Full schema type distribution
- Answer-critical types highlighted
- Share of each type across your pages
03
Concrete answer opportunities
The tool lists the question-style pages whose titles ask how, what, or why but that still lack FAQ schema, ordered with the deepest content first. This is a ranked list of the pages most worth making answer-ready. The brief-writer table stays intentionally empty because the tool audits readiness rather than fabricate content.
- Question pages missing FAQ schema
- Ranked by content depth
- Up to 25 opportunities surfaced
- No fabricated briefs
How the work moves
From available evidence to a reviewable next action
Crawl your site, read the readiness score, reconcile it against what Google reports, then test retrieval on the pages you changed. Readiness is re-measured from a fresh crawl, so improvement is observed on your pages rather than inferred from having made an edit.
- 01
Crawl your site
Run a scan so Novaverb captures structured data, titles, and meta for the URLs discovered and fetched within your project limits.
- 02
Read your readiness
See structured-data, snippet, and answer-schema coverage rolled into a single readiness score.
- 03
Reconcile with Google
Calibration matches your crawl against what Search Console actually serves, so you work on pages Google can see.
- 04
Test retrieval
Use the AI Retrieval Test to search your crawled content the way an answer engine would and confirm the right pages surface.
Built around real work
Useful for teams who need to move from evidence to delivery
SEO leads adding an AEO track
Find which existing pages are one schema block away from being answer-ready.
Content teams planning FAQs
Get a ranked list of deep pages that ask questions but carry no FAQ markup.
Consultants auditing a new site
Show a client an honest, evidence-based readiness score instead of a generic AEO checklist.
Connected outcomes
Continue from this product into a complete customer workflow
Measure & Prove
Where Does My Brand Appear in Google and AI Answers?
Measure Google search visibility and AI-answer citations separately so every result keeps its source, query and observation time.
Open workflowCreate & Grow
Why Doesn't My Brand Appear in ChatGPT and Gemini Answers?
Track real question-level mentions and owned-URL citations, then improve the source pages missing from those answers.
Open workflowResources
Read more about GEO & AEO Readiness
Written by the team that built it, and free to read without an account.
Guides
Step-by-step walkthroughs, five minutes each.
Definitions
What the terms on this page actually mean.
Try it free
Run the idea on a real URL, no account needed.
In the app
How this works once you are inside a workspace.
Connected products
Keep the work moving without losing the source
Frequently asked questions
GEO & AEO Readiness FAQ
Clear answers about data, availability and how the product fits into the wider workflow.
What is GEO (Generative Engine Optimization)?
Generative Engine Optimization (GEO) is the practice of structuring a page so generative AI answer engines, ChatGPT, Perplexity, Gemini and Google AI Overviews, can retrieve, quote and cite it as a source. It focuses on answer-first passages, structured data, clear entities, and freshness signals that make a page easy for an AI to extract and attribute, rather than on ranking blue links alone.
What is the difference between GEO and SEO?
SEO optimizes a page to rank in a list of search results a person clicks. GEO optimizes the same page to be pulled directly into an AI-generated answer and cited as the source. SEO fundamentals, crawlability, structured content and authority, still matter for GEO, but GEO adds answer-first structure, richer schema, and entity clarity so an engine can quote you without a click.
What is the difference between GEO and AEO?
AEO (Answer Engine Optimization) targets direct answers such as featured snippets and voice results. GEO (Generative Engine Optimization) targets generative AI engines that synthesize an answer from multiple sources and cite them. They overlap heavily, both reward structured, answer-first content, so this product audits both together and reports one readiness score.
Does this write the AEO briefs for me?
No. The brief-writer table is intentionally empty; this tool audits how answer-ready your pages are and lists the best opportunities so you write them against real intent.
What makes a page count as an answer opportunity?
A page whose title asks a question, such as how, what, or why, that carries no FAQ schema yet, ranked with the deepest content first.
What is the AI Retrieval Test for?
It searches your crawled content semantically when the retrieval engine is configured and falls back to a real keyword search otherwise, so you can see whether the right pages surface for a question.
Do I need Search Console connected?
The core readiness audit runs on crawl data alone, but Calibration needs Search Console to reconcile which pages Google is actually serving.
Research & Discovery
Put GEO & AEO Readiness to work on your own evidence.
Start with a real project, keep unavailable data visible and follow the connected workflow when the result is ready for action.