SEO & AI search
An AI-search readiness checklist for B2B websites
Check whether your B2B website explains its expertise, supports its claims and can be discovered. Includes a practical SEO and AI-search worksheet.

The short answer
Start an AI-search readiness review with your important public pages: can they be crawled, do they answer distinct buyer questions, is the evidence visible and can you measure useful visits and inquiries? Fix those gaps before adding more content.
Start with a small, important set of pages.
Choose the pages that explain what the company does, whom it helps and why someone should believe it. Add the guides and evidence those pages rely on. Reviewing that connected set gives you a more useful starting point than counting every URL.
Write the buyer question beside each page. If two pages do the same job, consider whether one stronger page would serve the reader better. If a critical question has no answer, that is a meaningful content gap.
This checklist is a practical review framework. For the terminology, see our guide to SEO, AEO and GEO.
Work through the essentials.
These checkboxes are not saved. Use the downloadable worksheet to record evidence, owners and next actions.
Check the public page, not only the preview.
A page can look finished while still carrying a review setting. Inspect the live response and its indexing directives. Check that the sitemap and links point to the intended canonical URL.
Google recommends URL Inspection for individual recrawl requests and a sitemap for larger sets of URLs. A request does not guarantee inclusion, and repeatedly requesting the same URL does not accelerate it.
Keep a record of the publication date, the inspection result and any action taken. That makes it easier to distinguish a recent launch from an unresolved technical issue.
Make the evidence part of the answer.
A service description should define the work and show relevant proof. A guide should help someone make a decision or complete a task. A research page should state who was studied and what the findings do—and do not—support.
Check the markup against the visible content. Google’s structured-data policies require it to represent the page accurately; correct markup does not guarantee a rich result.
Google also says its AI Search features need no special AI files or additional schema. Put the effort into clear explanations and usable evidence before assuming another technical label will solve a content problem.
Give the review a baseline.
Record search impressions, clicks and relevant inquiries for the important pages. Separate identifiable AI referrals from total search activity. If you inspect AI-generated answers manually, save the exact prompt, system, date and context so the observation can be understood later.
Agree on what would cause a change. Irrelevant queries may call for a clearer page purpose. Relevant visits with weak inquiries may call for better proof or a more useful next step. A page that has not been crawled needs a different investigation.
Use the worksheet to turn the review into specific actions. The goal is a website that answers the right questions and helps people move forward, whichever route brought them there.
Put the search thinking to work.
Looking for a working team? Explore Carbon’s B2B SEO services and AI search optimization approach for the available work, measurement and engagement options.
Put it to work
B2B AI-search readiness checklist
Download the editable text file and use it with your team. No form needed.
Download the worksheet