Learn what AI search sees when it looks at your business.

AI SEO concerns how a business or its information appears in AI-powered search and recommendation experiences. Using AI to draft copy is a production method, and it does not establish that the resulting page is useful, accurate or visible. You can investigate recommendations without generating any new text, and you can publish AI-assisted writing without improving the information customers need. Begin with the actual gap: an unclear offer, an inaccurate description or a page that cannot be accessed. If drafting tools help produce a revision, a knowledgeable person still needs to verify the facts and the answer quality. The finished content should solve the customer's question regardless of which tools were used to prepare it.

Choose a small set of realistic customer questions, including at least one that does not name your company. Record the answers and inspect the links, then compare the business descriptions with your actual services, audience and location or delivery model. Check your own important pages and profiles for confirmed errors. Note the date and context so a later review is comparable. This will not reveal every platform's internal process, but it gives you concrete questions to bring to a supplier. Ask the supplier what additional evidence or implementation it will provide beyond those checks. A service should offer a clear method and useful work, not simply reproduce a screenshot and attach a large score to it.

A provider can commit to defined work, such as an assessment, corrected profiles or improved service pages. It cannot responsibly promise that every platform will recommend your business for a particular question. Answers depend on context and may change, and a favorable sample does not establish a permanent position. Ask what the guarantee actually covers, how results are measured and which conditions could invalidate it. Google explicitly says that meeting its requirements does not guarantee indexing or serving. Keep the distinction between a deliverable and a platform outcome clear when comparing offers. The useful question is whether the proposed work addresses an evidenced problem and improves information that prospective customers can inspect.

Track what you can observe without filling the gaps with assumptions. Keep sampled mentions and citations in the visibility record, identifiable referral visits in analytics, and source information reported by actual customers in the inquiry record. Ask customers how they found you when that fits the normal intake process, but allow an unknown answer. A person may see an AI recommendation and contact the business another way, so referral traffic will not capture every journey. That limitation does not justify treating every mention as a lead. Review the measures together, explain where attribution is incomplete and use them to guide improvements. Only associate a confirmed business outcome with a source when the available evidence supports it.