Sample Report

Growfer

AI Visibility Audit — abccorp.example

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. Explore the scores, gaps, per-category findings, key issues, AI Answer Share, and Competitive Analysis below, then run a free audit of your own URL.

Domain

abccorp.example

AI Visibility Score

54/100

Audit Date

November 1, 2025

AI Recommendation Gap

ABC Corp was not mentioned in 6 of 8 tested AI queries

Competitors were recommended in responses where ABC Corp was absent. Every missed query is a potential customer directed elsewhere.

Example tested query

“best GEO consulting agencies for small business AI visibility”

What an AI assistant actually said(illustrative — ABC Corp not mentioned)

Based on my research, here are some GEO (Generative Engine Optimization) consulting agencies that work with small businesses:

AgentRank — frequently cited for SMB-focused AI visibility audits and llms.txt implementation
SearchWise AI — known for structured-data remediation and citation-building programs
VectorPresence — mentioned across several industry publications for prompt-audit methodology

When choosing a GEO agency, prioritize those with verifiable case studies showing improved AI recommendation rates and transparent scoring methodology.

The AI Recommendation Gap section tests real discovery queries and shows verbatim AI responses. Run your own audit to see which queries mention your brand — and which send customers to competitors.

Your GEO Visibility Snapshot

MODERATE

GEO VISIBILITY SCORE

Score based on analysis of multiple GEO signals including structured data, AI crawlability, entity recognition, and citation presence.

What’s Working

Technical performance is solid — HTTPS enforced, fast TTFB, and no critical crawler blocks detected

Content demonstrates clear subject-matter expertise with well-structured service explanations

Homepage copy is concise and citation-ready with named services and a clear geographic anchor

Needs Attention

No llms.txt file detected — Add an llms.txt file to explicitly surface your services, contact details, and preferred AI-citation context. Without it, language models must infer your offering from unstructured content.

Structured data coverage is incomplete — Add Organization, LocalBusiness, and Service JSON-LD blocks. The current schema coverage is minimal — AI systems rely heavily on machine-readable entity signals to confidently recommend specific service providers.

Reddit and review-site citation footprint is thin — Build third-party citation presence on Reddit (industry subreddits), Clutch, and G2. LLMs weight peer-sourced mentions heavily when deciding who to recommend — a sparse footprint limits recommendation frequency.

How GEO Improves Visibility

GEO improvements help AI systems understand your business, trust your information, and recommend you in responses.

ON-SITEschema · llms.txt · FAQ · technical fixes7

OFF-SITEnew platforms · citations · brand mentions4

On-Site Improvements

Technical changes to your website that help AI engines understand and trust your content — structured data, AI configuration files, FAQ content, and crawlability fixes.

Off-Site Improvements

Building your brand presence on the platforms AI assistants cite most — directories, review sites, industry publications, and authoritative third-party sources.

Position ABC Corp for Growth

As competitors optimize, AI embeds them in responses — permanently.

Catching up costs 3–5× more and takes 6+ months once the field is crowded.

First-mover advantage compounds: early presence becomes a lasting citation signal.

Current Position58 / 100 — Low AI visibility

After GEO Improvements82 / 100 — Strong AI recommendation potential

Category Breakdown

Each category is scored independently, with the same sub-dimension bars, findings, and key issues your own report includes.

AI Citability & Visibility

62/ 100 · Good

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

Homepage passage quality65%

Optimal-length citation passages4 / 10

Content passages analyzed18 / 50

Findings

Several homepage passages fall in the 134–167 word band that extracts cleanly into AI answers.
Service sub-pages are thinner — passage density drops below the homepage, so capability-specific queries have little citable text to draw from.

Key Issues (2)

Insufficient passage density on service sub-pagesHigh

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.

Few optimal-length citation passagesMedium

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

70/ 100 · Good

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

HTTPS enforcement100%

Crawlability90%

Core Web Vitals (mobile)55%

Findings

robots.txt and sitemap.xml are present and well-formed.
Mobile Core Web Vitals trail the desktop profile and pull the category score down.

Key Issues (1)

Mobile Core Web Vitals below targetHigh

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

48/ 100 · Fair

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

Critical schemas present and validDrives headline score1 / 3

Present: WebSite. Missing: Organization, Service — both are required entity signals for a B2B service provider.

Schema validity80%

Distinct schema types2 / 6

Findings

The WebSite schema includes a valid sitelinks search box.
No machine-readable Organization identity (name, logo, sameAs links) is published, so AI systems must infer ABC Corp's identity from unstructured copy.

Key Issues (2)

Organization schema is absentHigh

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.

Service schema is absentMedium

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.

Brand Authority Signals

55/ 100 · Fair

Sub-dimensions

Distinct platforms3 / 8

LinkedIn12 / 20

Reddit mentions1 / 3

Review-site coverage0 / 2

Wikipedia citation0 / 1

Platform signals

YouTube

No channel found

Mentions found

1 brand mention

Wikipedia

No Wikipedia article

On-page Reviews

No review signals found

Facebook

Page found

Minimal presence

Instagram

No profile found

Profile may be inferred from brand name (not counted as a confirmed presence per our verification standard).

Company page found

Small

X (Twitter)

Profile found

Minimal presence

Key Issues (2)

No verified review-site presenceHigh

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.

Thin Reddit and community footprintMedium

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 Quality & E-E-A-T

61/ 100 · Good

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

Author expertise signals55%

Trust signals60%

Factual verifiability65%

Findings

Case-study language is present, which improves AI trust calibration.
Expertise is institutional rather than personal — no named authors or bios attach the expertise to identifiable people.

Key Issues (2)

No named authors or author biosMedium

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.

Limited external trust corroborationLow

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 Optimization

50/ 100 · Fair

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

Google Business Profile1 / 1

Bing Places0 / 1

Apple Maps listing0 / 1

Findings

NAP (name, address, phone) data on the Google profile is consistent with the site.

Key Issues (2)

No Bing Places listingMedium

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.

No Apple Maps / Business Connect listingMedium

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

40/ 100 · Fair

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

llms.txt present0 / 1

AI crawler rules configured0 / 1

MCP endpoint0 / 1

Findings

AI crawlers are not explicitly allowed or guided — they fall back to inferring everything from unstructured HTML.
No MCP or structured data endpoint is exposed for tool-using agents.

AI Answer Share

How visible ABC Corp is across AI-driven discovery queries — the same headline coverage metrics and prompt-by-prompt breakdown your own report includes.

Coverage Rate

25.0%

Fraction of audit prompts where your brand was mentioned in the AI's answer.

Primary Recommendation Rate

12.5%

Fraction of prompts where your brand was the primary recommendation.

Competitor Outrank Rate

75.0%

Fraction of prompts where a competitor was mentioned and your brand was absent or only briefly named.

AI answer share score

47.0 / 100

Position-adjusted score (0-100) measuring your brand's visibility in the AI's citation arrays. Higher-rank citations contribute more.

Per-prompt results

Show only prompts where the brand was missing

Competitive Analysis

Side-by-side AI-visibility benchmarking against ABC Corp’s discovered competitors — the same comparison your own report produces.

Side-by-side visibility benchmarking for abccorp.example against 3 competitors (3 with usable data). Audit data captured Nov 1, 2025, 12:00 AM.

Primary domain

abccorp.example

Competitors audited

3 of 3

Generated

Nov 1, 2025, 12:00 AM

Your competitive standingYou rank 4 of 4

Competitive sub-score

55 / 100

Blends your rank, the margin to the adjacent competitor, and your absolute headroom (#1754). This is the Competitive component of your AI Visibility Score.

You rank 4 of 4 today, but with our recommended improvements you could lead by 14 pts.

Score comparison

Metric	abccorp.exampleprimary	agentrank.io	searchwise.ai	vectorpresence.com
Overall	58/100	74/100	66/100	61/100
Citability	62/100	78/100	70/100	64/100
Brand authority	55/100	72/100	64/100	58/100
Content E-E-A-T	61/100	70/100	66/100	62/100
Technical	70/100	75/100	68/100	66/100
Schema	48/100	80/100	60/100	55/100
Platform	50/100	62/100	58/100	54/100
Agentic readiness	40/100	68/100	52/100	45/100
Citation rate	25%	63%	50%	38%
AI answer share score	47/100	71/100	58/100	49/100
Performance	—	—	—	—
LCP	—	—	—	—
CLS	—	—	—	—
INP	—	—	—	—

Agentic readiness is an opportunity to lead.

abccorp.example scores 40/100 on agent-readiness vs a peer average of 55/100 across 3 competitors. Most sites still score low here, so closing this gap is a fast path to a competitive edge AI agents can act on.

Prompt-audit coverage comparison

How often each brand surfaces across the AI discovery prompt set — coverage (mentioned at all), primary-recommendation rate, AI answer share, and raw mentions. Sourced from each audit’s existing prompt-audit snapshot.

Metric	abccorp.exampleprimary	agentrank.io	searchwise.ai	vectorpresence.com
Coverage	25%	63%	50%	38%
Primary rec.	13%	38%	25%	13%
AI answer share score	47/100	71/100	58/100	49/100
Mentions	2/8	5/8	4/8	3/8

Technology Profile

Analytics

2 technologies · 1 gap vs competitors

Technology	abccorp.exampleprimary	agentrank.io	searchwise.ai	vectorpresence.com
On primary site
Google Analytics
On competitors only — potential gaps
Plausible

CDN

1 technology · 1 gap vs competitors

Technology	abccorp.exampleprimary	agentrank.io	searchwise.ai	vectorpresence.com
On competitors only — potential gaps
Cloudflare

CMS

2 technologies · 2 gaps vs competitors

Technology	abccorp.exampleprimary	agentrank.io	searchwise.ai	vectorpresence.com
On competitors only — potential gaps
Webflow
WordPress

Hosting

1 technology

Technology	abccorp.exampleprimary	agentrank.io	searchwise.ai	vectorpresence.com
On primary site
Vercel

JavaScript frameworks

1 technology

Technology	abccorp.exampleprimary	agentrank.io	searchwise.ai	vectorpresence.com
On primary site
Next.js

Marketing automation

1 technology · 1 gap vs competitors

Technology	abccorp.exampleprimary	agentrank.io	searchwise.ai	vectorpresence.com
On competitors only — potential gaps
HubSpot

Structured data

1 technology · 1 gap vs competitors

Technology	abccorp.exampleprimary	agentrank.io	searchwise.ai	vectorpresence.com
On competitors only — potential gaps
Schema.org JSON-LD

Cached rows reuse data from a prior audit of the same competitor domain to avoid duplicate work; freshness can be confirmed by opening the cached competitor’s individual audit.

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