Who Should You Hire for AEO?

Businesses should hire an AEO consultant or agency that can identify relevant customer questions, improve the website where needed, and explain how progress will be measured. Hire for capability, not the label. “AEO expert,” “GEO consultant,” “AI search agency” and “LLM optimization company” are still loosely defined terms. A provider using one of those titles is not automatically more qualified than a strong SEO practitioner who understands modern search and retrieval.

Google Search Central’s guidance on AI features confirms that foundational SEO practices remain relevant for AI Overviews and AI Mode and that no special AI markup or machine-readable file is required. That does not make AEO meaningless. It means credible AEO work should build on search fundamentals instead of pretending those fundamentals have been replaced.

The provider you hire should be able to connect six areas: technical search accessibility, search intent, entity clarity, answer architecture, evidence and authority, and measurement. If the pitch is almost entirely about a proprietary “AI score,” prompt volume or a secret schema trick, keep asking questions.

An independent AEO consultant can suit focused strategy or specialist implementation, while an AEO agency can help when a project needs coordinated content, development and measurement. A founder-led agency can offer a middle ground. The right choice depends on who actually does the work and how much execution is required. Neither model is automatically better. Ask who will make the changes, not just who will pitch the project.

If you already have developers, writers or an internal marketing team, paying for a large external production layer may be unnecessary. If you have no internal implementation capacity, a consultant who produces an excellent strategy that nobody can execute may also be the wrong fit.

An AEO expert should identify which buyer questions matter, assess how the site answers them and recommend specific SEO, content and measurement improvements. AEO should result in observable work, not just a dashboard. The exact scope varies by site, but a serious engagement normally touches several of the following areas.

Search foundation

Search foundations include crawlability, indexing, rendering, site architecture, internal linking and page quality. These ordinary SEO issues can prevent useful content from being discovered.

Buyer questions and search intent

Buyer-question research helps identify what customers ask before choosing a product, company, service or provider. It includes conventional keyword research alongside longer conversational questions that may not appear cleanly in keyword-volume tools.

Entity clarity

Entity clarity means explaining who a company, person, product or service is, what it does, where it operates and how those facts are corroborated across the web.

Answer architecture

Answer architecture helps readers and retrieval systems find a direct answer while preserving the evidence, qualifications and context needed to understand it accurately.

Fan-out coverage

Fan-out coverage involves answering the related questions a customer may need to resolve before making a decision. A page about hiring for AEO, for example, should naturally compare consultants and agencies, qualifications, pricing, measurement, red flags and guarantees.

Evidence and measurement

Evidence and measurement involve checking what appears for defined buyer prompts, identifying cited and recommended sources, monitoring first-party search data and connecting visibility to leads or business outcomes where possible. Dedicated AI visibility measurement software can help systematize that monitoring across prompts, citations and competitors.

Sometimes the correct AEO recommendation is to fix something else first.

You may not need a separate AEO engagement yet if your important pages are not indexed, your site architecture is poor, your content does not demonstrate real expertise, your conversion path is weak or your business needs immediate paid acquisition rather than an organic search strategy.

AEO becomes more useful when the fundamentals are credible and prospective customers use AI-assisted search during research or provider selection. The opportunity is especially interesting when a customer asks a high-value question such as “which provider should I hire?” rather than a purely informational question with little commercial intent.

Can you do AEO yourself?

Yes, particularly if you already understand technical SEO, content strategy and analytics. Start with real customer questions, inspect the sources being surfaced, improve pages where you can add useful information and measure changes over time. Hiring outside help is most valuable when expertise, objectivity or implementation time is the constraint. A practical first review saves one relevant buyer question and its returned sources, checks whether your page answers the same decision, and identifies one justified improvement. Retest after the change while keeping the question and observation context recorded.

Your existing SEO agency may be able to handle AEO if it can research buyer questions, evaluate AI-search sources and implement measurable website improvements alongside ordinary SEO. Ask for its approach before replacing a provider that already understands your business.

Ask your current SEO team how it researches conversational and buyer-intent questions, whether it tracks AI-assisted search visibility, how it evaluates citations and competing sources, and which recommendations it considers specific to modern generative search rather than ordinary SEO.

Google’s guidance on third-party SEO tools and advice recommends evaluating AEO and GEO recommendations against official Search guidance. That is a useful standard. A provider should separate documented platform guidance from its own tests, hypotheses and experimental methods.

Before hiring an AEO provider, ask what it will change on the website, who will perform the work, how opportunities are prioritized and how useful outcomes will be measured. Use these questions to compare proposals:

1. What will you actually change on my website?
2. How will you determine which buyer-intent questions matter?
3. How do you identify the sources and competitors currently being surfaced?
4. How is your AEO work different from the SEO work I already have?
5. Which recommendations are based on official documentation, which are based on your experience, and which are experimental?
6. How will you measure visibility across search and AI-assisted experiences?
7. How will you connect visibility to qualified leads or revenue?
8. Will I be able to see the affected page, the recommendation and the reasoning behind it?
9. What can you not guarantee?
10. What happens if your audit finds that AEO is not my biggest problem?

What about AEO software?

Software can be useful for monitoring prompts, collecting citations, comparing competitors and reducing repetitive work. It does not replace judgment. A dashboard can tell you that a competitor appears for a prompt. It still takes analysis to determine why, whether the signal matters and what change is justified. For example, an alert that a competitor gained mentions should lead to inspection of the saved answers and sources. It becomes actionable only when the review identifies a relevant fact, page or corroboration gap that the business can address.

Red flags when hiring an AEO consultant or agency include guaranteed AI placements, claims of secret ranking access, mandatory special markup and large content plans without evidence of customer value.

• Guaranteed ChatGPT, Gemini or Google AI placement. No outside consultant controls those systems.
• Claims of private access to Google ranking data. Google Search’s guidance on third-party SEO tools says outside tools do not have access to Google’s internal ranking data.
• “Google approved” AEO software or methods. Google does not endorse third-party SEO or AEO tools in that way.
• Special markup presented as mandatory for AI visibility. Google’s AI-feature documentation says no special AI markup or machine-readable file is required for AI Overviews or AI Mode.
• A huge content plan before the provider understands your customers. More pages are not automatically more useful.
• A score with no evidence. A useful audit should show what was observed and why a recommendation follows from it.
• No distinction between fact and experiment. AEO is evolving. Providers should be clear about uncertainty.

There is no useful universal AEO price because the scopes are too different. One provider may be selling a prompt-tracking dashboard. Another may be conducting a technical audit, rewriting important pages, building entity references, coordinating development and measuring search performance for months.

Instead of asking whether a quoted monthly fee is “normal,” compare what is actually included:

• Number and type of pages being analyzed
• Technical SEO analysis
• Buyer-intent prompt research
• Citation and source analysis
• Content recommendations or implementation
• Developer involvement
• Digital PR or authority work
• Measurement and reporting
• Direct access to the senior practitioner

A small company may need one excellent audit and a focused implementation plan. A large organization may need an ongoing program. Those should not be compared as if they are the same product. Compare whether the deliverable ends at diagnosis or also includes shipping changes, coordinating dependencies and reviewing later observations. Those responsibilities, plus the website and market scope, determine whether the two offers are comparable.

No. A provider can improve the quality, accessibility, clarity and evidence around your web presence. A provider can test defined prompts and document changes. A provider cannot force a generative system to cite or recommend a specific source.

This matters because “AI visibility” is not one stable ranking. Different systems can return different answers. The same system can also return different sources as its models, retrieval methods, freshness and context change.

A credible promise sounds like this: we will improve what we can control, document what we observe and measure whether the outcome changes.

Do not reduce AEO to one number. Use several evidence layers because each one answers a different question.

The final layer is the one most businesses care about. A citation that never influences a qualified prospect may be interesting. A prospect who says “Claude recommended you” is a business outcome. Record the observed citation and its date as visibility evidence, then track identifiable visits and qualified inquiries separately. A prospect’s account of how they found the business can add context when referral information is absent.

My ChatGPT Search Optimization service includes a controlled buyer-question baseline in onboarding, comparing mentions, recommendations, citations, competitors and recurring source patterns. Those findings guide the monthly managed search work.

The terminology is evolving, so I would not hire three different companies simply because one sells SEO, one sells AEO and another sells GEO.

SEO still provides the underlying ability for pages to be crawled, indexed, understood and trusted. AEO is useful language for the work around questions, concise answers, retrieval, citations and answer visibility. GEO is commonly used for visibility inside generative systems. Much of the real work overlaps.

The better provider is the one that can explain where ordinary SEO ends, where additional AI-search analysis begins and why a particular recommendation is justified for your site.

For many businesses, the provider does not need to be in the same city. Search strategy, technical analysis and content work can be performed remotely.

Industry familiarity can matter more. Multi-location retailers, SaaS companies, healthcare organizations, ecommerce businesses and local service companies have different websites, buying journeys, compliance constraints and search environments. A provider who already understands those constraints can spend less time learning the basics of the market.

Local expertise also matters when the actual problem is local search. In that case, knowledge of Google Business Profile, location relevance, local landing pages, reviews, citations and geographic competition is more important than simply having “AEO” in a job title.

Eric Strate is a San Diego AEO and SEO agency founded by search strategist Eric Strate, who has worked in SEO since 2012. The agency connects traditional search, Answer Engine Optimization, generative search visibility and practical website implementation. Clients receive clear strategic oversight, agreed priorities and transparent reporting rather than promises of guaranteed AI placements.

The agency is likely a good fit when:

• You want an accountable strategist involved in priorities, reporting and implementation.
• Your business already values organic search and wants to understand how AI-assisted search changes the opportunity.
• You want AEO integrated with SEO rather than sold as a replacement for it.
• You want buyer-intent prompt and citation research tied back to specific pages.
• You want recommendations separated into established practice, observable evidence and experimental ideas.
• You want someone willing to say when a problem is not actually an AEO problem.

The agency may not be the right fit for a project requiring a large international production team, hundreds of articles per month or a full digital PR department. No credible provider can guarantee that an AI system will recommend a particular business.

Based in San Diego and serving businesses nationwide, the agency offers managed WordPress SEO, local search, AEO and AI visibility measurement, with implementation and reporting defined in the engagement scope. Strategic accountability remains clear as project resources and delivery needs grow.

For a platform-specific engagement, see my national WordPress AEO agency services, including hands-on WordPress improvements and AI search visibility measurement.

If Google is your priority, my Google AI search optimization consulting covers AI Mode and AI Overviews, buyer-question research, competing sources, agreed WordPress implementation and measurement.

For companies whose buyers also consult Claude, see my Claude brand visibility and citation optimization work, covering source accessibility, service-page evidence and measurable buyer-question testing.