How to Compare AI Search Optimization Pricing
There is no universal fee that tells a buyer whether an AI-search engagement is appropriate. Compare a defined scope, responsibilities, evidence, and exit terms instead of relying on a market-average claim.
Write the brief before requesting prices
List the products, regions, languages, audiences, sites, and business questions in scope. State whether the provider must research, write, implement, obtain approvals, or only advise. Ask every bidder to price the same brief so differences remain visible.
- Name the pages and systems the provider may change.
- Define who approves legal, product, and brand claims.
- Separate one-time setup from recurring research and reporting.
- Record required exports, access, and handover materials.
Compare deliverables rather than labels
Terms such as GEO and AEO do not define a standard package. Request an itemized list: research protocol, technical review, content briefs, implementation, response captures, reporting cadence, and meetings. For each item, ask what artifact you receive and who owns it.
Interrogate the measurement plan
- Require the exact prompt set or sampling method.
- Record platform, date, settings, geography, and response.
- Keep raw observations separate from a vendor score.
- Agree how brand mentions, source links, errors, and referrals will be reported.
- Reject guarantees about systems the provider does not control.
Check commercial and operational risk
Ask about minimum terms, usage charges, subcontractors, data retention, tool dependencies, cancellation, and portability. A lower fee can still create a poor purchase if your team must supply unplanned engineering or if the evidence disappears at cancellation.
Limits and next step
A proposal comparison is a purchasing exercise, not proof of likely performance. Pilot a bounded scope where possible, preserve the baseline, and judge whether the delivered work and evidence match the written brief.