AI Search Optimization Services: How to Choose a Partner

Compare AI search optimization services by the work they deliver. Get a practical buying checklist for audits, content, reporting, pricing, and ownership.
An AI search optimization proposal can promise citations, better content, local visibility, and a dashboard while leaving the actual work undefined. Before paying, make the provider show what will change on your site and how that change helps a customer decide to contact you.
Buy a defined service before buying the acronym
GEO, AEO, and AI SEO appear across agency proposals. The labels alone do not tell you whether the provider will fix a website, write content, monitor answers, or send recommendations for your team to implement.
Our AI search visibility guide explains the broader subject. This guide is for the next decision: selecting a partner and a scope you can evaluate.
Separate three purchases:
| Engagement | You should receive | Question before signing |
|---|---|---|
| Audit | Findings, evidence, priorities, estimated implementation scope | Who makes the recommended changes? |
| Implementation | Named pages and technical changes shipped and checked | What is included in acceptance? |
| Retainer | Continuing improvements, maintenance, measurement | What work happens each month beyond reporting? |
A company with broken service pages may need implementation before monitoring. A business with strong pages and an active internal team may need a focused audit. A retainer becomes easier to judge when both sides have a specific backlog.
Require a baseline grounded in your business
A useful baseline starts with your services, locations, customers, and existing website. It should identify which inquiries are worth winning and which ones you do not want.
For an illustrative electrical contractor, “electrician” is too broad to define the entire program. The buying questions might concern panel upgrades, scheduled inspections, and which areas the company serves. Emergency work should stay out of scope if the company does not offer it.
Ask the provider to document a small, repeatable set of customer questions. Each observation should record the platform, date, exact wording, location context where applicable, and the answer’s linked sources. Include prompts where the business is absent as well as the ones where it appears.
This makes a sample reproducible. It does not turn that sample into a census of every customer search. A brand mention in five prompts tells you something about those five prompts, not your total share of the market.
The baseline should also include technical checks, relevant existing pages, and available lead data. Otherwise, you may receive a visibility score with no way to identify what caused it or whether improving it would help the business.
Check the proposed work against platform guidance
Google’s current guide to generative AI search optimization says established SEO practices remain relevant. It also says Google Search ignores llms.txt, does not require special schema, and does not require content to be split into tiny pieces for AI systems.
That is a useful filter for proposals. If the central deliverable is an AI text file plus a promise to “train Google,” ask the provider to explain the specific customer-facing or technical improvement it will produce.
Useful work might instead include making important service information accessible, fixing contradictory business details, improving internal links, or answering a buying question that the site currently avoids. Structured data should describe the visible page accurately, rather than claim capabilities or locations the business does not have.
Platform guidance differs. A Google document does not establish how another company’s assistant selects sources. Require a provider to name the system behind each technical claim and link to the relevant documentation.
Our GEO vs SEO comparison provides context for overlapping scopes. The practical buying test is whether the work improves the information a customer can find and trust.
Ask for a sample deliverable with acceptance criteria
Before approving a broad content program, request a sample brief for one commercially useful page. It should include the customer question, existing URL owner, missing information, source requirements, and proposed next step.
Then define how you will accept the finished work. For a service page, a reasonable checklist might be:
- The service and coverage statements match the business’s approved facts.
- Pricing is current, or the factors needed for a quote are clearly explained.
- The page works on a phone and the contact route reaches the intended team.
- Relevant internal links work and no competing page repeats the same purpose.
- The provider documents the changes and checks that the intended page is accessible.
- You can edit the content and retain the files when the engagement ends.
These are recommended procurement criteria, not a promise that a search engine will select the page. They give you something concrete to review while visibility develops.
For a multi-area business, ask the provider to apply the same discipline to service area pages. A proposal for fifty nearly identical city pages deserves scrutiny before production starts.
Make reporting distinguish visibility from revenue
Reporting has changed. Google’s June 2026 announcement, updated August 31, says dedicated generative AI performance insights have rolled out worldwide. The announced reports show impressions and dimensions including pages, countries, devices for Search, and dates. They are not a report of every natural-language question asked across all AI platforms.
Use three separate views in a monthly review. First, what the provider changed. Second, what visibility or traffic measures changed. Third, what happened to qualified inquiries and completed work.
Keep the distinctions visible. An impression is not a visit. A referral is not necessarily a qualified lead. A customer saying an assistant recommended you is useful feedback, but it is not the same as a recorded referral session.
Ask for denominators in any score. “Citations increased by 50%” could mean two observations became three. The underlying prompts, sample size, dates, and pages matter more than the percentage alone.
The guide to getting recommended by ChatGPT covers the content side. A provider should still explain what its own reporting can and cannot observe.
Compare prices against the actual scope
Mainvoice’s Found Everywhere service lists a $1,000 audit, a $2,500 Foundations project, and a $2,500–$5,000 monthly Growth Retainer. These are Mainvoice’s own listed packages, not a market benchmark. Confirm the current deliverables and pricing on the service page.
When comparing a competing quote, ask whether it includes research, writing, development, publishing, local listing work, monitoring software, and reporting. Two similar monthly fees can cover very different amounts of implementation.
Use a budget test based on contribution from additional work. Suppose a proposed program costs $2,500 per month and an additional completed job contributes $250 after delivery costs. It would need ten additional jobs per month to cover that ongoing fee, excluding setup and other costs. This example is a planning threshold, not an estimate of likely results.
If that requirement is unrealistic for your capacity or market, reduce the scope. A smaller project fixing important pages may be a more sensible purchase than a broad retainer with no clear path to enough useful demand.
Use the first review to decide whether the work is sound
Agree on a first review around deliverables you can inspect. The provider should show completed changes, remaining issues, a record of source checks, and any early measurement with its limits stated.
Do not demand a ranking outcome by an arbitrary date. Do demand that the agreed work is shipped, accurate, and connected to the business’s actual offer. Google’s AI features documentation makes clear that eligibility does not guarantee crawling, indexing, or inclusion.
Keep a written decision at the end of the review: continue the agreed backlog, narrow it, correct an implementation problem, or stop work that has no useful justification. That protects both the budget and the quality of the site.
Bring one proposal, your service list, and the pages you most want customers to find to a free Strategy Call. We can help turn a broad promise into a scope you can assess.
Frequently asked questions
What should AI search optimization services include?
A useful scope covers technical accessibility, accurate business information, content gaps tied to buying decisions, implementation, and repeatable reporting. Ask which pages will change, who will make the changes, and how the provider will connect visibility to qualified inquiries.
Can an agency guarantee that ChatGPT will recommend my business?
No agency controls every answer an AI system produces. Treat guaranteed citations, fixed AI rankings, and promises based on one screenshot cautiously. Require documented methods and completed work that remains useful even when individual answers vary.
Does Google require llms.txt for AI search visibility?
No. Google’s current optimization guidance says it ignores llms.txt for Google Search visibility and rankings. It also says there is no special schema markup required for its generative AI features. Other systems may have different requirements.
Is an audit the same as an ongoing AI search service?
An audit diagnoses problems and proposes work. An implementation project makes agreed changes. A retainer should deliver continuing changes and measurement against an agreed backlog. Compare these as different purchases.
