AI Visibility Assessment

A simple lead magnet showing prospects how they currently appear in AI and search results.

Back to the project plan →

What it will contain

Scope of the build

Frozen prompt sets per vertical

Five consumer-intent prompts for roofing and five for HVAC, with a [city] variable. Frozen so later comparisons are like for like.

Run log template

Platform, query, date and time, location assumption, repetition number, whether the business was named, linked or cited, and which sources were cited.

Website readiness checklist

Accessibility, titles and headings, indexation, contact and service-area clarity, trust signals, mobile UX, and whether OAI-SearchBot is blocked unintentionally.

One-page snapshot template

What we observed, site issues we can verify, top three priorities, next meeting or action. Branded, with the variability disclaimer.

Disclaimer language

AI results differ by prompt, location, account and time. A snapshot cannot promise permanent placement or prove that one edit caused a recommendation.

Inputs already written

Start from these

Most of the raw material exists in the launch kit. These are the sections to pull from.

Playbook, section 9: AI Visibility Review repeatable procedure

Open →

Service spec: reporting and proof requirements

Open →

Open decisions

What has to be settled first

Which AI interfaces to sample (ChatGPT, Google AI Mode, Gemini, Perplexity) and how many repetitions per prompt.
Whether screenshots are captured and stored, and where.
Who runs the review before each discovery call, and how long it is allowed to take.
Whether the one-pager is also offered as a downloadable lead magnet from the landing page, or delivered only on the call.

Suggested next step

Write the ten prompts, build the run log as a sheet, design the one-page snapshot, then dry-run it on two real local businesses to time it.