AI Visibility Audit Tool
Pricing
- Free Tier
- Free locked report; unlock details with credits
Summary
Your brand ranks in every analyst report and wins deals over the phone — then ChatGPT recommends a competitor because its site gave the AI something yours didn't: crawlable, verifiable, structured proof. That gap is what this tool audits.
The tool runs a structured audit against your URL and produces a report covering crawlability, brand entity clarity, claim-level evidence, schema gaps, trust signals, and competitor off-site presence — the exact signals that determine whether AI engines cite you or skip you. The free tier generates a locked report; the full detail requires credits. Output is framed as a prioritized P0/P1/P2 action roadmap, so engineering and content leads get owner-ready tasks rather than a raw score. It is a one-shot audit, not a continuous monitor — teams treating it as a living dashboard will hit the ceiling fast.
Bottom line: Pick this when you need a structured, board-ready diagnosis of why AI search is ignoring your brand; skip it when you need ongoing rank tracking or automated re-audits after each content push.
Community Performance Report Card
No community ratings yet. Be the first to rate this tool!
Community Benchmarks Community
Sign in to submit a benchmarkNo community benchmarks yet. Be the first to share a real-world data point.
Pros
Sign in to edit- Claim-level evidence ledger maps every major brand assertion to a source, verification status, and citation readiness score, so content teams know exactly which claims are invisible to AI engines rather than guessing from a generic page score.
- P0/P1/P2 execution roadmap turns audit findings into owner-assigned tasks across content, engineering, schema, and external authority, which means the report goes directly into a sprint backlog without a separate translation step.
- Competitor off-site evidence map compares where rivals have stronger public proof — media, app stores, partner directories, third-party references — so teams prioritize external authority gaps rather than spending cycles on already-strong on-site content.
- AI intent coverage matrix checks whether your pages can answer recommendation, comparison, alternative, pricing, and risk queries, so you discover missing content types before AI engines decide your site cannot answer them.
- Free report generation with credit-gated detail unlocks means teams can triage whether the tool's findings are relevant to their situation before committing any budget.
Cons
Sign in to edit- The audit is a point-in-time snapshot with no automated re-crawl or change detection: teams shipping schema updates, rewriting category pages, or adding case studies have no way to measure impact without manually generating a new report, which creates a verification lag that slows iteration cycles.
- Full report detail sits behind a credit paywall, so the free output is a locked preview — teams expecting a complete audit without purchasing credits will get a diagnosis they cannot fully act on.
- There is no API and no data export into external dashboards or monitoring stacks, which means teams that want audit signals inside their analytics platform, CI pipeline, or reporting infrastructure must copy findings manually — at which point teams with engineering resources typically switch to a crawl-and-score pipeline they control.
Community Reviews
Sign in to write a reviewNo reviews yet. Be the first to share your experience.
About
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-12T12:18:08.205Z
Best For
Who it's for
- SEO and marketing teams focused on AI search visibility
- SaaS and ecommerce brands seeking GEO optimization
- B2B companies with strong offline but weak online proof
What it does well
- Auditing site crawlability and technical blockers for AI engines
- Mapping brand claims to verifiable sources and identifying gaps
- Generating prioritized roadmaps for content and schema improvements
- Comparing against competitors on off-site evidence and trust signals
Discussion Community
Sign in to commentNo discussion yet. Sign in to start the conversation.
Compare AI Visibility Audit Tool
Spotted incorrect or missing data? Join our community of contributors.
Sign Up to ContributeCommunity Notes & Tips Community
Sign in to contributeBe the first to contribute. General notes, observations, gotchas, and tips from people who use this tool day-to-day.
Frequently Asked Questions
- Is AI Visibility Audit Tool free?
- AI Visibility Audit Tool has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is AI Visibility Audit Tool open source?
- No — AI Visibility Audit Tool is a closed-source tool. Source code is not publicly available.
Hours Saved & ROI Stories Community
Sign in to contributeBe the first to contribute. Concrete time/cost savings, with context. e.g. "Cut my code review backlog from 4h to 45m per week."
Best AI Visibility Audit Tool alternatives →
Curated lists that include this category
Most teams discover their AI search problem backwards — traffic drops, then someone asks why ChatGPT isn’t citing them, then the audit begins. This tool front-loads that audit. Enter a URL and it crawls your homepage, product pages, pricing, case studies, docs, help center, blog, sitemap, robots.txt, PDFs, and internal link structure, then maps what it finds against the evidence signals AI engines use to decide whether to recommend or cite a brand. The output is organized into nine audit domains: full-site crawl inventory, brand entity profile, claim-level evidence ledger, AI intent coverage matrix, technical crawlability audit, schema and structured data plan, trust signal gap analysis, competitor off-site evidence map, and an execution roadmap.
The claim-level evidence ledger is the differentiating layer. Rather than scoring a page generically, it maps individual brand claims to their verification status, source freshness, and AI citation readiness — then flags conflicts and gaps. The AI intent coverage matrix checks whether your site can answer the query types AI engines pull from when recommending products: comparison, alternative, pricing, risk, trust, and buying-scenario queries. These two features together surface the specific content debt that keeps brands invisible in AI-generated answers, which a standard technical SEO audit misses entirely.
The tool fits SEO and marketing teams at SaaS companies, Shopify stores, and B2B service firms that have offline credibility but thin online proof — the vendor’s sample cases describe a B2B firm with strong word-of-mouth but weak authorship, case evidence, and service-area pages. The hard limit is the one-shot model: the audit reflects a point-in-time crawl. Teams shipping content weekly or running A/B tests on schema markup will not see those changes reflected without generating a new report. There is no API, no continuous monitoring loop, and no self-hosted option, so teams that need audit data piped into their own dashboards or CI pipelines have no path to that integration.