Know where you stand
See your mention rate by AI engine, backed by logged and timestamped evidence.
Know where you stand. Test real buyer questions across ChatGPT, Gemini, Perplexity, and Google, benchmark named competitors, and turn the evidence into a prioritized search roadmap.
We will explain the workflow, tradeoffs, and next step in plain language before you commit to a build.
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.
Know where you stand. See your mention rate by AI engine, backed by logged and timestamped evidence.
The AI Visibility & SEO Audit establishes a dated view of how your business appears across AI-assisted and traditional search. It records query-level evidence, benchmarks named competitors, audits technical, local, content, and trust signals, then converts the findings into a prioritized work order. Implementation and ongoing monitoring are separate.
A strong implementation begins with a workflow that has enough value, volume, ownership, and observable behavior to justify the build.
+One qualified customer has meaningful value
+Services and markets are clearly defined
+The team needs evidence before implementation
−The goal is a guaranteed ranking
−There is no defined market or competitor set
−Ongoing implementation is expected inside the audit
The methodology explains what the snapshot checks, how findings are recorded, and why the result is directional rather than a promise of placement.
Review the audit methodologyThe scoreboard, source record, search audit, competitor benchmark, and work order trace back to dated observations.
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 and repeatable measurement method turn scattered search findings into a decision-ready priority list.
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 cited sources are reviewed together.
Method, evidence, deliverables, exclusions, and the limits of a point-in-time measurement are defined upfront.
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.