AI Search Optimization is already being sold as a commercial service, but understanding what the market is actually offering can be difficult. One provider sells a GEO Audit, another an AI Visibility Programme, and a third an AI Search Retainer. Similar names can cover very different kinds of work, while differently named services can sometimes be remarkably similar.
This article is primarily for people who already understand the basic idea of AI Search Optimization and now want to know what they can actually buy, what these services consist of, and how to compare different offers.
You do not need to master all the terminology to do that. The market uses terms such as AI Search Optimization, GEO, AEO and AI Visibility. Rather than trying to catalogue every variation or decide which term is correct, we will focus on function: what the provider investigates, what it plans, what it actually does, and how it measures the results.
If you strip away the package names, many offers can be understood as a combination of four basic components:
Audit / Baseline → Strategy / Roadmap → Implementation → Monitoring
Not every provider offers all four, and they do not all combine them in the same way. This simple framework makes it easier to see what is actually inside a particular offer.
Where Does the Work Usually Start?
In many cases, the first stage is an audit or baseline assessment.
Its purpose is to establish where the business stands before any changes are made. A provider may examine whether the company appears in AI-generated answers, which questions it appears for, how it compares with competitors, which sources are being used, how clearly information about the company is presented, and what problems can be found on or beyond the website.
The scope varies. One audit may concentrate mainly on AI visibility and competitors. Another may also examine content, technical issues, entities, citations and external sources.
For the client, the basic principle matters most: the audit should establish where the business is now and what deserves attention next.
That is why the word audit alone tells you relatively little about the size of the service. Two providers may both sell an AI Search Audit while examining very different sets of factors.
If you want to look more closely at this particular stage, we have separately compared SEO Audit and AI Search Audit and the questions each is designed to answer.
What Happens After the Audit?
The next possible stage is a strategy or roadmap.
If the audit establishes the current position, the roadmap turns its findings into actions. It may identify which problems should be addressed first, which pages need changes, where information is missing, which topics need further development, what technical or entity-related changes are required, and what should be checked after implementation.
The level of involvement can vary considerably.
Sometimes the client receives a set of recommendations. In another engagement, the result is a detailed roadmap that can be handed to the client’s own team for implementation. Another provider may use the roadmap as the plan for its own subsequent work.
As a result, two offers that both include strategy can be quite different.
In one case, the work ends with recommendations about what should be changed. In another, the provider turns those recommendations into a concrete plan of action. A third provider may also take responsibility for implementing that plan.
If the overall process of working with an AI Search agency is still unclear, we explain it in more detail in What Does an AI Search Optimization Agency Actually Do?.
What Will You Actually Do?
Implementation is often where the real scale of a service becomes apparent.
One part of the work may concern the website itself: technical accessibility, architecture, structured data, internal linking, page structure and other changes that help systems find and interpret information.
Another part involves content: improving existing pages, creating new material, describing products and services more clearly, filling information gaps, adding FAQs and comparisons, and other forms of content work.
Another area is entity and brand work. This concerns how clearly and consistently the company, its people, products, services and the relationships between them are represented.
Some providers also include off-site work: external mentions, authoritative sources, industry publications, directories, reviews, digital PR and other sources beyond the company’s own website.
Finally, there are tasks directly related to AI Search: researching prompts and AI-generated answers, analysing how systems describe the company, identifying citation and information gaps, defining AI-specific requirements, and checking how the representation of the business changes after the work has been carried out.
The phrase “content optimisation included” is a good example of why the details matter.
A provider may simply identify the pages that need changes and provide recommendations. It may prepare detailed briefs for the client’s content team. It may rewrite the material itself. Or it may make and publish the changes and then check the results.
The same applies to technical work, entity work or digital PR.
So when comparing offers, it is important to look beyond which type of work is named and establish how much of that work the provider is actually taking responsibility for.
Will You Do All the Work Yourself?
An AI Search agency can offer an end-to-end service and take responsibility for the entire agreed scope. Some work may be handled by its own specialists and some by regular partners or contractors. From the client’s perspective, the model remains straightforward: one provider organises the work and is responsible for delivering it.
A business may also prefer to use people who are already working on its website and marketing.
It may already have an SEO agency, webmaster, developer, content team or internal marketing department. If those people can implement part of the roadmap, there is no automatic need to buy the same capabilities again from the AI Search provider.
For example, the client’s developer may implement the necessary technical changes. Its SEO or content team may handle the relevant content and on-page work. The AI Search agency can then carry out its own AI-specific implementation: working with AI visibility, prompts and answers, identified information and citation gaps, AI-oriented requirements and other tasks within its scope, before assessing the combined results from an AI Search perspective.
The exact division depends on the project and the capabilities of each team. In one engagement, the AI Search agency may do almost everything. In another, implementation may be shared between several parties.
For the client, the practical question is simple: which parts of the work will the provider take responsibility for, and which parts are expected to be handled by the business’s existing team?
How Much of This Work Is Really New?
Not everything within AI Search Optimization appeared with AI Search.
Technical SEO existed before. So did content optimisation. Structured data, digital PR, reputation work and the management of business information are not new inventions either.
This becomes a practical issue for a client that already pays for some of these services.
If a company already has an SEO agency handling technical optimisation, content and authority work, it makes sense to understand which parts of a new proposal genuinely add scope and which overlap with work that is already being done.
Sometimes the difference is not an entirely new activity, but why it is being done and what is being prioritised. Content, for example, may be improved with greater attention to how easily AI systems can find, understand and use the information it contains.
Other tasks are more closely associated with AI Search: establishing an AI visibility baseline, prompt and query research, analysing AI answers and citations, monitoring how a brand is described or recommended, and comparing visibility across platforms.
We examine the boundary and overlap between the two areas in more detail in How AI Search Optimization Differs from Traditional SEO.
Here, the more useful question is:
What is my existing team already doing, what now needs to be done with AI Search in mind, and what additional work does the new provider actually add?
How Will We Know Whether the Work Has Produced Results?
After implementation, the engagement may end or move into monitoring and further optimisation.
The provider may retest selected prompts, track mentions and citations, compare visibility with competitors, examine how the business is represented across different AI systems, and compare new results with the original baseline.
The scope of monitoring varies as well.
In one case, the client receives a periodic report or dashboard.
In another, the provider analyses the results, identifies new gaps and opportunities, and uses them to recommend or carry out the next round of changes:
Measure → Analyse → Adjust → Measure again
This distinction often separates measurement at the end of a completed project from an ongoing optimisation service.
Why Are Some Services Sold as Projects and Others as Retainers?
This depends largely on where the provider’s work ends.
If the task is limited to an audit and recommendations, it can naturally be sold as a one-off engagement: the provider completes a defined piece of work, delivers the findings, and the project ends.
If the diagnosis is followed by a defined set of changes, the work may be sold as a fixed implementation project.
Some providers combine audit, strategy, implementation and initial measurement into a time-limited programme or sprint.
If the provider continues monitoring results, making further changes and repeating the optimisation process, the work may move into a monthly retainer.
Two retainers can still contain very different amounts of work.
The first may include mainly monitoring, reporting and recommendations. The second may also involve content, technical or other implementation work every month. The monthly payment model tells you very little unless the scope is clear.
The same applies to project work. One fixed project may end with a detailed roadmap, while another includes full implementation.
Labels such as project, programme or retainer mainly describe how the engagement is structured over time. To understand the service itself, you still need to look at the scope.
AI Search work may also be included within an existing SEO or broader digital engagement rather than sold as a separate package at all.
Why Can Similar Packages Include Different Work?
Imagine two offers with exactly the same name.
| GEO Retainer A | GEO Retainer B | |
|---|---|---|
| AI visibility monitoring | Yes | Yes |
| Technical work | Yes | No |
| Content implementation | Yes | Yes |
| Entity work | No | Yes |
| Off-site authority | No | Yes |
| Who handles implementation | Mainly the provider | Provider + client team |
Both are called a GEO Retainer, but the client is buying a different scope of work.
The reverse can also happen.
| AI Visibility Programme | GEO Growth Programme | |
|---|---|---|
| Baseline | Yes | Yes |
| Strategy | Yes | Yes |
| Technical work | Yes | Yes |
| Content | Yes | Yes |
| Entity work | Yes | Yes |
| Monitoring | Yes | Yes |
The names are different, but the services are similar.
There is nothing unusual about this. Web, SEO, marketing and consulting services have been sold under different names and in different combinations for decades.
Terminology is therefore useful as an orientation, but it cannot tell you exactly what a service contains.
How Can I Compare Two AI Search Optimization Proposals?
After breaking the service down this way, two proposals can be compared using the same set of questions.
Where does the work start?
Is there a baseline or audit, and what exactly will be examined?
What happens after the analysis?
Will you receive recommendations, a detailed roadmap, or will the provider move directly into implementation?
What will the provider actually do?
Which technical, content, entity, off-site and AI-specific tasks are its responsibility?
What will your existing team need to do?
Is any work expected from your SEO, content or development specialists?
What will you actually receive?
An audit report, roadmap, revised pages, technical implementation, dashboard, monitoring reports or other concrete deliverables?
How will the effect be assessed?
Is there a baseline, repeated testing and subsequent monitoring?
Where does the engagement end?
After the report, after implementation, or does the work continue as ongoing optimisation?
How are you paying for it?
As a one-off engagement, fixed project, programme, retainer, or part of a broader SEO or digital service?
Putting two proposals through the same questions makes their real differences much easier to see, even when the providers use completely different terminology.
Once the scope is clear, the price comparison becomes more useful because each figure can be tied to a defined combination of work and responsibility.
What Comes Next?
Understanding the structure of an offer is only part of the buying decision. The amount of AI Search work a business actually needs depends on its current situation, the digital resources it already has, and the gaps that need to be addressed.
For one company, a few changes implemented by its existing SEO and web team may be enough. Another may need a specialist assessment or dedicated AI Search implementation. A third may benefit from ongoing work and monitoring.
We explore that decision in Does Your Business Need AI Search Optimization?.
