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This is a representative GEO (Generative Engine Optimization) report for abccorp.example— the full report your own site receives, produced by the same analysis pipeline. Use the tabs to explore the scores, per-category findings, AI Answer Share, Roadmap, and Competitive Analysis, then run a free audit of your own URL.
Each category is scored independently, with the same sub-dimension bars, findings, and key issues your own report includes.
Homepage copy is concise and citation-ready: services are named explicitly and the geographic anchor is stated in the first viewport, so AI assistants can extract a clean, attributable summary of what ABC Corp does.
Sub-dimensions
Findings
Key Issues (2)
Capability-specific pages (e.g. individual service offerings) carry few extractable passages, so AI cannot reliably surface specific capabilities when asked detailed questions about what ABC Corp offers.
Fix: Add 3–5 self-contained, 130–160 word passages per service page, each answering a discrete buyer question and naming the service + outcome explicitly.
Only 4 passages site-wide land in the ideal extraction band; many key explanations are either too short to stand alone or too long to quote cleanly.
Fix: Restructure long blocks into focused, quotable paragraphs and expand one-line claims into supported, citable statements.
Technical foundations are solid: HTTPS is enforced site-wide with a valid certificate, and there are no critical crawler blocks — Googlebot and GPTBot can reach all key pages.
Sub-dimensions
Findings
Key Issues (1)
Largest Contentful Paint on mobile is ~3.8s, above the 2.5s 'good' threshold. Slow mobile rendering degrades the experience for the majority of AI-referred traffic, which arrives on mobile.
Fix: Compress and lazy-load below-the-fold imagery, defer non-critical JS, and preload the hero LCP asset to bring mobile LCP under 2.5s.
Structured-data coverage is incomplete: a valid WebSite schema is present, but the core entity schemas AI systems rely on to confidently identify and recommend a business are absent.
Sub-dimensions
Present: WebSite. Missing: Organization, Service — both are required entity signals for a B2B service provider.
Findings
Key Issues (2)
Without an Organization JSON-LD block (name, logo, URL, sameAs profile links), AI systems have no authoritative machine-readable identity to anchor citations to.
Fix: Add an Organization JSON-LD block in the site <head> with name, logo, url, and sameAs links to verified LinkedIn / social profiles.
Individual offerings aren't described with Service schema, so AI assistants can't map specific queries (e.g. 'GEO audit agency') to concrete ABC Corp services.
Fix: Add Service JSON-LD per offering, each with name, description, and provider linked back to the Organization entity.
Sub-dimensions
Platform signals
Profile may be inferred from brand name (not counted as a confirmed presence per our verification standard).
Key Issues (2)
ABC Corp has no listings on Clutch, G2, or Trustpilot. Review-site citations are one of the strongest proxies AI models use to gauge recommendation confidence for service providers.
Fix: Claim and populate Clutch and G2 profiles, then solicit 3–5 verified client reviews to establish a citable third-party authority signal.
A single Reddit mention was detected. LLMs weight organic peer discussion heavily; a sparse community footprint limits how often ABC Corp surfaces in recommendation answers.
Fix: Engage authentically in relevant industry subreddits and encourage satisfied clients to reference ABC Corp where contextually appropriate.
Content demonstrates clear subject-matter expertise: service explanations are well-structured and use precise domain language that reads as authoritative to AI systems.
Sub-dimensions
Findings
Key Issues (2)
Content pages don't attribute expertise to identifiable people with credentials, which limits the Experience and Expertise signals AI systems use to weight trust.
Fix: Add author bylines and short credentialed bios (with sameAs links) to insight and case-study content.
Claims are largely self-asserted; few link out to independent sources or verifiable client outcomes that AI systems can cross-reference.
Fix: Cite measurable client results and link to corroborating third-party sources where possible.
Platform coverage is partial: the Google Business Profile is claimed and verified, but the non-Google surfaces that feed Microsoft and Apple AI assistants are missing.
Sub-dimensions
Findings
Key Issues (2)
Bing Places feeds Microsoft Copilot's local and business answers. Without a listing, ABC Corp is invisible to that assistant's local-business retrieval path.
Fix: Claim and verify a Bing Places listing with NAP data matching the Google Business Profile exactly.
Apple Maps data surfaces in Siri and Apple Intelligence answers. The absence removes ABC Corp from that discovery surface.
Fix: Register the business via Apple Business Connect with consistent NAP and category data.
Agent-readiness signals are largely absent: there is no llms.txt, no explicit AI-crawler ruleset, and no machine-callable endpoint, so agentic tools have no structured way to discover ABC Corp's services or preferred citation context.
Sub-dimensions
Findings
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