Know where you stand
See your mention rate by AI engine, backed by logged and timestamped evidence.
Measure how often ChatGPT, Gemini, Perplexity, and Google surface your business, then uncover the technical, content, and local search issues shaping those recommendations.
See your mention rate by AI engine, backed by logged and timestamped evidence.
Identify the competitors, pages, profiles, and sources AI engines repeatedly trust.
Give any qualified web or marketing team a prioritized roadmap ranked by impact and effort.
The AI Visibility & SEO Audit is a paid diagnostic for businesses that need a defensible view of how they appear across AI-assisted and traditional search. AutoLab tests real buyer-intent questions, records dated evidence, benchmarks named competitors, audits the search foundation behind those results, and turns the findings into a prioritized work order. It is an audit and executive presentation—not implementation or an ongoing SEO retainer.
Every finding is connected to evidence, business relevance, and a clear next action.
Benchmark your mention rate against named competitors across ChatGPT, Gemini, Perplexity, and Google AI experiences.
Trace every reported finding to a dated query, response, engine, and observed source.
Review crawlability, indexing, site health, Core Web Vitals, structured data, and technical blockers.
Assess Google Business Profile, reviews, local rankings, service coverage, and citation gaps.
Evaluate the authority, expertise, relevance, and corroborating signals used to form recommendations.
Prioritize every fix by impact and effort, include implementation-ready guidance where practical, and present the findings live.
A defined market, repeatable measurement method, complete search audit, and executive readout.
Confirm services, locations, buyer questions, and the competitors that matter.
Run buyer-intent queries across leading AI engines and log the evidence.
Review technical, local, content, and trust signals behind discovery.
Deliver the scoreboard, evidence library, action roadmap, and executive briefing.
AI engines, search properties, local profiles, technical signals, and the sources they use to form recommendations.
Method, evidence, deliverables, and boundaries are defined before the audit begins.
It is one diagnostic covering both. The engagement leads with AI visibility because that is the new discovery risk, then audits the technical, content, trust, and local search foundation that influences both AI recommendations and traditional search performance.
Implementation is not included. You receive a prioritized work order, practical guidance, and implementation-ready code where appropriate. You can give the roadmap to your existing team or discuss a separately scoped project after the audit.
Reported AI visibility findings are tied to logged, dated measurements that record the query, engine, observed response, mentioned businesses, and relevant sources. The report distinguishes direct observations from analysis and recommendations.
The complete report and executive presentation are typically delivered within three weeks after kickoff and receipt of the required business, competitor, and access information.
The strongest fit is a high-value local service business—such as a law firm, medical or dental practice, home service company, or multi-location operator—where one qualified customer can materially justify the audit.
No. This engagement establishes a dated baseline and prioritized roadmap. Ongoing AI visibility monitoring is a separate future service and is not bundled into the audit.
Start with a focused visibility snapshot, then decide whether a complete evidence-backed audit is worth pursuing.