This page links to the guide’s checklists and measurement methods. Use the chapter relevant to the task, then record the work and results in a format the team can maintain.
A spreadsheet and the relevant product access can support an initial measurement process. Additional tools may provide scheduling, exports, or product coverage. Verify what each tool actually measures.
The workflow, and where each checklist lives
The table links each task to its explanation and checklist.
| Workflow stage | Working material | Chapter |
|---|---|---|
| Discover prompts | Customer questions, prompt versions, and intent groups | Prompt and Topic Research |
| Baseline visibility | Sampling protocol, metric definitions, confounder list | Measuring AI Search Visibility |
| Diagnose problems | Access, source, citation, and accuracy checks | Auditing and Diagnosing Visibility Problems |
| Find sources and competitors | Cited sources and comparable competitor measurements | Competitive Analysis |
| Prioritize | Category scoring: concentration, persona sensitivity, memory-retrieval mix | Building Your AI Search Strategy |
| Implement: technical | Crawler access checklist and robots.txt directives | Technical Accessibility for AI Crawlers |
| Implement: content | Writing and citation-worthiness checklists | Writing for Retrieval and Citation |
| Re-test and report | Tracking system design, attribution setup | Building a Visibility Tracking System and Attribution and Business Impact |
| Run the sequence | The whole workflow as a 90-day schedule | The First 90 Days |
Companion downloads
The measurement and audit workbook contains seven blank worksheets, a completed fictional example, scoring definitions, and calculation checks. Open it in a browser to read, print, or save as a PDF.
Use the plain-text audit checklist to track the review steps. Both resources are dated September 10, 2026. Keep full answer records with the completed worksheets.
Explore a recorded experiment
The companion guide includes an interactive explorer of the recorded hotel experiment. It compares model settings, vehicle wording, search conditions, domains, and hotel names. The explorer describes that supplied sample; it is not a checker for your business.
Reference chapters
Use the crawler chapter for provider references, the attribution chapter for analytics considerations, and the measurement chapter for metric definitions.
Evaluating commercial tools
Request a sample export before choosing a tracking service. Check whether it contains exact prompts, complete responses, collection dates, products, model information where available, scoring rules, and failed requests.
A feature list does not establish how a service measures visibility. Ask whether the service tests a consumer interface, an API, or both. Require the method behind any combined score.
Start with a small manual process that can be inspected. Automate collection when the records and scoring rules are stable enough to compare over time. Building a Visibility Tracking System explains the required records.
Revision record
| Date | Changes |
|---|---|
| September 10, 2026 | Reviewed research sources and provider guidance; separated unresolved study figures; added practical examples and printable resources; capitalized chapter URLs with redirects. |
The date identifies this editorial revision. Individual studies retain their own collection or publication dates.