The B2B AI search readiness checklist
Use this checklist to identify the next useful improvement. It is a review framework, not a ranking score or a promise that a platform will cite your business. Record evidence and an owner beside each issue.
The useful starting points
- Verify access before investing in more pages.
- Check whether content helps a buyer make a decision.
- Keep findings, assumptions and missing evidence separate.
1. Confirm the right pages are accessible
Check important commercial URLs in the response HTML and in a browser. A visually polished page still needs a working response, useful main content and consistent discovery signals. Test the deployed site, not only a local build.
- The page returns a successful response and shows meaningful content.
- Canonical and indexing instructions reflect the intended public URL.
- Internal navigation links to the page through a useful hierarchy.
- Search crawlers are not accidentally blocked by hosting or security controls.
- OAI-SearchBot permissions are checked independently from GPTBot training preferences.
2. Review the buyer decision
Ask someone unfamiliar with the company to explain the page after reading it. They should be able to identify the audience, the problem, the work involved and the next step. A list of SEO keywords is not a substitute for those answers.
- The service and intended buyer are explicit.
- Scope, responsibilities and exclusions are understandable.
- Implementation and evaluation questions are addressed.
- Claims link to relevant evidence or are framed as a method.
- The conversion action matches the visitor’s stage.
3. Inspect proof and company information
Create a claim register for public numbers, client names and testimonials. Record the evidence, relevant time period and permission to use them. Remove claims that cannot be substantiated rather than replacing them with another plausible-sounding number.
- Company name, website and contact details are consistent.
- Team expertise is accurately described.
- Case studies belong to the company and relevant engagement.
- Examples are labeled as examples, not presented as measured results.
- Location wording does not imply an office that does not exist.
4. Review programmatic page quality
Read several pages side by side. Each should answer a distinct and useful buyer need. Google’s spam policies address both low-value scaled content and similar location pages that funnel visitors onward. A large catalog can exist without publishing every mathematical combination.
- Each published intersection has a specific reason to exist.
- The content changes meaningfully with the audience or geography.
- Draft and unsupported combinations are absent from the sitemap.
- Dates represent real content changes.
- There is a process to update, consolidate or retire outdated content.
5. Connect monitoring to action
Choose a stable set of important queries and prompts, with an explicit market and buyer context. Repeat observations, preserve the sample size and note the platform. Combine this with referral and CRM evidence rather than treating a single generated answer as a performance trend.
- Traditional search and AI-feature visibility are reported separately.
- Citations, brand mentions and recommendations are distinguished.
- Relevant visits can reach a functioning enquiry path.
- A lead owner and follow-up process exist.
- The review ends with prioritized actions, not just a score.
Suggested review record: URL → issue → observed evidence → buyer impact → proposed action → owner → review date.