How much does AI search optimization cost per month?

What does a monthly AI search optimization retainer cover?

A monthly retainer funds a continuing program to improve how your business is represented in AI search—not a single document or a placement purchase. The starting scope is from $2,200 / month, with the agreed work shaped around your website, audience, markets, and priority search experiences.

A typical engagement can combine a baseline review, content and entity recommendations, technical checks, implementation guidance, and recurring visibility observation. We turn findings into a prioritized work plan so your team can see what is being changed, why it matters, and what should happen next. If your immediate need is diagnosis rather than ongoing execution, compare the GEO audit pricing page before choosing a retainer.

The retainer is most useful when someone on your team can review recommendations and provide access to source material or subject-matter experts. Before kickoff, prepare your core product descriptions, target locations or markets, key customer questions, and any claims that require legal or compliance review. This lets the work begin with decisions, not a long discovery exercise.

How does scope change from local to enterprise?

The difference between local, growth-stage, and enterprise work is the number of audiences and business areas that need coordinated attention—not an assumed number of citations. A local program may concentrate on service-area language, location pages, and clear business details. A SaaS program usually needs product explanations, use cases, comparison content, and consistent terminology across the site. An enterprise program may involve multiple products, regions, languages, stakeholders, and review processes.

Use these distinctions to decide what to ask for:

• Local: name the service area, priority services, and the pages that explain them.
• SaaS or growth-stage: identify products, buyer questions, differentiators, and the pages that support evaluation. See AI SEO for SaaS for a more focused view.
• Enterprise: map business units, markets, language needs, approval owners, and existing content systems before setting priorities.

A larger scope should mean a clearer operating model: agreed owners, review cycles, and a sequence of work across teams. It should not mean a longer activity list without a reason. We recommend starting with the market or product line where better answers would be most useful, then expanding only when the first workstream has a defined owner and evidence to review.

Which AI search experiences should the retainer prioritize?

Prioritize platforms according to where your customers ask questions and what the business needs them to understand. The work can consider ChatGPT, Perplexity, and Google AI Overviews when they are relevant to your brief; each requires observation of the experience itself alongside improvements to the information your organization publishes.

At kickoff, we agree on a practical set of representative questions: how a buyer describes the problem, compares approaches, and evaluates your product. We then review the visible responses and source references, where shown, and record useful patterns and gaps. This is a working observation set, not a claim that it represents every user or every response. For a platform-specific focus, review Perplexity optimization or Google AI Overviews optimization.

The optimization work usually begins with source clarity. We check whether product pages state what the product does, who it serves, and what evidence supports its claims; then we identify missing explanations, conflicting terminology, or technical obstacles that make important information harder to access. Recommendations are prioritized by business relevance and feasibility. That keeps the retainer grounded in work your team can approve and maintain, rather than chasing a changing set of prompts.

What happens during a month of AI SEO work?

A monthly retainer follows a repeatable operating rhythm: establish the priority, complete agreed work, review what is observable, and use the findings to plan the next cycle. The exact sequence is set with your team so implementation and approvals fit the way your business works.

The process includes:

• Baseline and kickoff: confirm products, markets, priority questions, access, and approval owners.
• Prioritization: turn the initial review into a concise backlog, with tasks and dependencies visible to your team.
• Execution: develop or refine content recommendations, review technical access to key information, and coordinate agreed changes with your implementers.
• Review and reporting: share completed work, open decisions, observations from the agreed query set, and next actions.

At MediaStrategy, a senior reviewer checks the initial findings and proposed priorities before they become the working plan. The report separates what we changed or delivered from what we observed in AI search, so the two are not confused. To compare the retainer with the broader service approach, see AI search visibility and how we work.

What affects results and what can the retainer control?

The retainer can control the quality and delivery of agreed work; it cannot control how an AI search product presents or changes an answer. ChatGPT and Perplexity responses can vary, source references may change, and Google AI Overviews may not appear for every query, so the team records observations without treating a single response as a fixed ranking.

This is why a useful engagement has a clear evidence trail. Ask to see the questions being reviewed, the date and context of observations, the source pages considered, and the specific work completed in response. A good report should make it possible to distinguish a content change from a change in the platform’s output. It should also identify tasks blocked by missing access, subject-matter input, or internal approval.

Before committing, confirm that your team can provide accurate product information and review proposed claims. If the site has technical or content issues, decide who can implement changes and how those changes will be approved. We will scope around those realities, document dependencies, and deliver the placements, reviews, and work agreed in the plan—not claim control over platform selection or answer wording.

How should you choose an AI search optimization budget?

Choose a scope by business priority and the work your team can support. A focused local or product-line program is a sensible starting point when the goal is to improve a defined set of pages and questions. Broader SaaS or enterprise work is appropriate when several products, markets, or internal teams need a coordinated plan. The monthly starting point is from $2,200 / month; the final proposal should state the workstream, deliverables, review cadence, dependencies, and reporting format.

Before a proposal, send a short brief with your website, products or services, priority markets, intended audience, and the AI search experiences you want reviewed. Include existing research or messaging guidelines if available, and name the person who can resolve content questions. We will assess fit, flag missing inputs, and return a scoped recommendation with a clear first workstream.

For a focused discovery before ongoing work, start with the GEO audit. If you are ready to discuss a retainer, contact MediaStrategy with the brief and the pages you consider most important. The next step is a scope review: we align on priorities, confirm responsibilities, and define what the first reporting cycle will show.

Prices

Starting prices in USD. Custom bundles and volume discounts on request. Payment in USDT, USDC, BTC, ETH, SOL, TON or your project token.

How it works

1. Share the business contextSend your website, core offers, priority markets, and the questions your customers ask. Identify any sensitive claims or approval requirements.
2. Review the starting pointWe examine the relevant pages and agree which AI search experiences and representative questions belong in the initial review.
3. Set the working scopeWe propose a prioritized workstream, responsibilities, dependencies, and a reporting format before ongoing work begins.
4. Deliver and coordinateThe team develops recommendations and agreed materials, then coordinates reviews or implementation with your designated owners.
5. Report and plan forwardYou receive a clear record of delivered work, visible observations, outstanding decisions, and the proposed next priorities.