AI search optimization describes efforts to make a business’s information easier to discover and understand in AI-assisted search experiences. You may also see labels such as AEO or GEO. Before buying a package built around those terms, ask what the provider will actually improve and how it will demonstrate progress.
Start with the platform’s real requirements
Google says established SEO practices remain relevant to AI Overviews and AI Mode. Its AI features guidance does not require special AI files or a unique schema type for inclusion. Eligibility also does not guarantee that a page will appear.
That guidance applies to Google’s experiences; other services have their own systems and controls. Be cautious when a proposal treats every AI product as a single channel with one universal ranking formula.
Ask whether the foundations work
Can important pages be found, crawled and understood? Are service descriptions and contact information clear? Does the site distinguish its own role from that of partners? Are useful answers available as text rather than hidden inside an image?
A provider should be able to identify a specific problem and explain how its proposed work addresses it. A technical checklist is useful when it connects to actual pages and customer tasks, not when it simply replaces older SEO terminology with newer labels.
Build evidence people can evaluate
Review the questions buyers ask before choosing you. Explain your process, relevant limitations and the evidence behind claims. Use permitted project details and name the source of outside facts. Where firsthand experience matters, have someone with that experience review the material.
Clear writing helps customers compare options. Useful structures include a direct answer followed by conditions, an explicit comparison table or a checklist with context. These formats should serve the reader; they do not guarantee citation by an AI system.
Keep business information consistent
Check your business identity, service descriptions and relevant profiles. A business with an outdated phone number or conflicting service claims creates uncertainty for people researching it. Correct the source of the inconsistency instead of trying to compensate with a large number of promotional mentions.
Ask the agency where changes will be made, what access it needs and how those changes can be reversed. Retain ownership of accounts and original content.
Require a measurement plan with honest limits
- Which platforms and questions will be monitored?
- How will the provider account for answers changing between users and sessions?
- Will it track referrals and qualified inquiries where available?
- How will it separate observed mentions from business outcomes?
- What evidence would cause it to change the approach?
A screenshot of one favorable answer is an observation, not proof of dependable visibility. Use a documented set of relevant questions and a repeatable review method. Compare the usefulness of the resulting visits and conversations, while acknowledging gaps in attribution.
Warning signs in a proposal
Question guarantees of placement, unexplained proprietary scores and large-scale pages that repeat the same information. Ask what the work contributes beyond content volume. A credible specialist can discuss uncertainty and still offer a concrete plan.
Compare SEO providers by their ability to improve useful, accurate information and explain measurement. Treat AI visibility as part of a broader discovery strategy, with clear responsibilities and realistic expectations.
