Why this matters
AI search rewards clear facts, not louder claims
AI answer engines can pull business facts from service pages, product pages, profiles, reviews, old blog posts, PDFs, and marketplaces. If those sources disagree, the summary may become vague or wrong. A claims inventory creates one reviewed source of truth for the statements your team is comfortable publishing.
Use this before updating a homepage, service page, product page, comparison page, pricing page, trust center, or case study. It is especially useful for agencies, consultants, local-service companies, and small teams using AI to draft marketing copy.
Copy/paste claims inventory worksheet
Create a spreadsheet or document with these columns:
- Claim: the exact statement being made, such as "24-hour emergency service" or "serving three counties."
- Claim type: service, pricing, availability, credential, review, case study, guarantee, location, result, policy, or product feature.
- Proof source: public page, invoice terms, license page, review URL, case-study approval, policy document, operations note, or owner confirmation.
- Allowed wording: the safe public version of the claim.
- Forbidden wording: words the team should not use, such as "guaranteed," "certified," "instant," or "best" unless proven.
- Owner: who can approve or update the claim.
- Review date: when the claim should be checked again.
- AI instruction: use as written, summarize only, ask for verification, or do not use.
Five claims to audit first
- Service-area claims: verify cities, counties, travel limits, remote availability, and exceptions.
- Availability claims: verify hours, emergency wording, seasonal limits, booking windows, and response times.
- Proof claims: verify reviews, testimonials, awards, certifications, media mentions, and before/after examples.
- Pricing claims: verify starting prices, package names, inclusions, exclusions, deposits, fees, and refund terms.
- Outcome claims: remove claims that imply guaranteed rankings, revenue, savings, legal outcomes, medical outcomes, or financial results unless the evidence and disclaimers are reviewed.
Copy/paste AI audit prompt
You are auditing a small-business website for AI-search claim safety.
Goal: find public claims that AI tools might summarize incorrectly or repeat without enough proof.
Inputs I will paste:
- Page URL or page text
- Known service areas, hours, pricing rules, policies, proof links, and owner notes
Task:
1. List every claim about services, locations, pricing, availability, credentials, proof, results, guarantees, and policies.
2. Put each claim into one of four buckets: SAFE AS WRITTEN, NEEDS PROOF, NEEDS CLEARER WORDING, or DO NOT USE.
3. For each risky claim, explain what proof is missing and suggest safer wording.
4. Do not invent awards, certifications, locations, guarantees, reviews, numbers, or customer results.
5. Mark uncertain facts as [VERIFY WITH OWNER].
6. Return a claims-inventory table with: claim, type, evidence needed, safe wording, forbidden wording, owner, review date, and AI instruction.
Human-review stop rules
- Do not publish a claim if the proof is only "we think this is true."
- Do not let AI create customer results, case-study numbers, certifications, partner logos, or award language.
- Do not use location, pricing, guarantee, legal, medical, safety, finance, or compliance wording without owner review.
- Do not use reviews or customer stories without permission and privacy checks.
- Do not overwrite old pages until the claim owner approves the safe wording.
Where to use the inventory next
After the inventory is reviewed, connect it to the pages that AI answer engines are likely to summarize: homepage, service pages, pricing pages, case studies, trust centers, and privacy/data pages.
For a fuller implementation workflow, the SEO After AI playbook expands this into a site-wide AI-search visibility process with worksheets, prompts, and review rules.