What is the difference between AEO and GEO?

AEO (Answer Engine Optimization) focuses on being the chosen answer in AI and answer surfaces. GEO (Generative Engine Optimization) focuses on retrieval, ranking, and citation inside generative responses. CitePilot measures both via per-prompt citation states and Share of Model.

Which AI visibility metrics should I report to executives?

Lead with citation score trend, Share of Model on money prompts, and platform presence delta week over week. Add GEO technical score when explaining why fixes are schema vs content vs authority.

Does CitePilot automatically inject JSON-LD into my website theme?

CitePilot detects missing schema on your domain, generates schema-ready content, and publishes through your CMS integration. For core site templates, GEO Audit provides prioritized fixes your team or agency implements — then rescans validate lift.

What schema types does the automated pipeline support?

Organization, WebSite, FAQPage, Article, HowTo, and SoftwareApplication/Product patterns — aligned to your audit gaps and money-prompt intents.

How often are visibility metrics updated?

Free audit is a snapshot. Pilot and Fleet run weekly rescans (or manual on demand), storing visibility index history for Analytics and proof reports.

Can agencies white-label AI visibility reports?

Fleet includes white-label proof PDFs and multi-workspace monitoring — map metrics per client domain with CSV prompt import.

Service · AI visibility

AI Visibility Service: Metrics, AEO vs GEO & Schema Automation

Map citation score, Share of Model, and platform presence. Compare AEO vs GEO principles and deploy JSON-LD schema through CitePilot's automated audit-to-publish loop.

Baseline your metrics Open GEO Audit

Metric map

AI visibility metrics in one workspace

Every metric ties to a dashboard surface — no vanity aggregates disconnected from money prompts.

Citation score

Composite index of how often your brand is cited or recommended across probed AI surfaces for your monitored prompt set.

Tracked in workspace: Executive Briefing · Overview · Audit results
Why it matters: Single health number for leadership — moves when fixes land, drops when competitors displace you.

Principles

AEO vs GEO — and how CitePilot spans both

Answer Engine Optimization and Generative Engine Optimization overlap but optimize different layers. Use the toggle to focus your team's language.

Dimension	AEO	GEO	CitePilot
Primary goal	Be selected as the direct answer in AI and answer engines.	Be retrieved, ranked, and cited inside generative synthesized responses.	Track both — recommendation in prose and footnote/link citation per prompt.
Unit of measurement	Answer inclusion rate on high-intent queries.	Share of Model across a defined money-prompt inventory.	Citation score + per-prompt states + weekly visibility index.
Content format	Concise answer capsules, FAQ blocks, speakable summaries.	Extractable H2s, comparison tables, schema-backed entities.	Content queue ships FAQPage/Article schema-ready articles to your CMS.
Technical layer	Structured Q&A, speakable schema, featured-snippet patterns.	JSON-LD graph, entity sameAs, OpenAPI/llms.txt, crawler access.	GEO Audit flags gaps; Autopilot prioritizes schema fixes before volume.
Off-site signals	Authority sources engines already trust for answers.	Third-party corpus consensus across reviews, forums, directories.	Backlinks + Discussions radar feed the authority loop.
Optimization cadence	Refresh answers when engines change retrieval behavior.	Weekly re-scan + displacement map when competitors gain SoM.	Autopilot weekly rescans, email digests, score-drop alerts.

Rule of thumb:AEO asks “Are we the answer?” GEO asks “Are we retrieved, trusted, and cited in the synthesis?” CitePilot measures both on the same prompt inventory.

Automated schema deployment

Audit → prioritize → generate → publish

Close the loop from missing JSON-LD to live schema-backed URLs — without losing prompt-level accountability.

1
Detect schema gaps automatically
Each citation audit fetches your live site and evaluates siteSignals — JSON-LD presence, FAQPage schema, Organization entity, Open Graph, robots crawlability, and sitemap discovery. Gaps surface in GEO Audit and the Executive Briefing grade ring.
- ⚡Live HTML fetch on every audit run
- ⚡hasJsonLd · hasFaqSchema · hasOrganizationSchema flags
- ⚡GEO score 0–100 with ranked fix list
- ⚡Correlation insights when schema gaps match citation misses
2
Prioritize fixes by citation impact
Not all schema work is equal. CitePilot ranks Organization + FAQ gaps higher when prompt-level citation fails on comparison or buyer-fit intents — so engineering ships schema that moves SoM, not vanity markup.
- ⚡Autopilot weekly action plan from live gaps
- ⚡Copilot grounded in workspace citation context
- ⚡Alerts when citation score drops after a deploy
3
Generate schema-ready content
The content engine produces articles and FAQ hubs with embedded schema types — Article, FAQPage, HowTo — matching your money prompts. Markdown exports include schema hints; briefs specify JSON-LD targets per piece.
- ⚡Editorial briefs with schemaTypes[] per article
- ⚡FAQ sections mirroring monitored prompts verbatim
- ⚡Comparison and alternatives templates for commercial intent
4
Deploy via CMS publish loop
Push schema-backed content to Webflow, WordPress, Ghost, Shopify, or Framer from the article queue — closing the loop from audit gap to live URL without manual copy-paste. Re-scan the same prompts to verify citation lift.
- ⚡One-click publish to connected CMS providers
- ⚡Publication log with live URL tracking
- ⚡Post-publish weekly re-scan on Pilot/Fleet
- ⚡Proof PDF for stakeholder citation lift

Content queueSchema-ready articles CMS publishingWebflow · WordPress · more

One service, three proof points

Measure
Citation score, SoM, platform presence, GEO technical score.
Align
AEO answer craft + GEO retrieval schema on the same prompts.
Deploy
Autopilot actions → CMS publish → weekly re-scan proof.

Start workspace View pricing ChatGPT promptsPrompt identification

FAQ