How to choose a generative engine optimization agency

Knowing the scope helps you read a pitch, because a credible agency will speak to all four areas instead of fixating on one. If a team only talks about writing more blog posts, they're skipping the technical and authority layers that turn that content into citations, and the content itself gets overlooked when an agency talks only about schema. When you understand what the full job looks like, gaps in a sales conversation become easy to spot.

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What questions should you ask a GEO agency before hiring?

The questions that tell you whether an agency is proven focus on evidence of past results, the specifics of their method, and how they'll measure and report your program. Ask each one and listen for whether the answer includes real detail or stays at the level of slogans, since vague answers here tend to predict vague work later. The table below pairs each question with what a strong answer sounds like.

If an agency answers most of these with specifics, you're talking to a practitioner. When the answers stay generic across the board, that tends to predict an engagement that produces dashboards full of activity while never delivering the citations you're actually paying for.

How do you vet a GEO agency's experience and results?

You vet experience by asking for citations you can reproduce yourself, then running the prompts to confirm the brand appears as claimed. AI answers are publicly testable, which makes this category easier to verify than traditional SEO, so any agency worth hiring should be comfortable handing you a prompt and a brand name and letting you check. When a team hesitates to show verifiable examples, treat that as a sign to keep looking.

Results in this space are recent by nature, since the engines themselves are new, so a few examples you can confirm are live today carry more weight than a long client list. The agency should be able to point you to real client outcomes tied to specific work rather than a list of logos. Ask how the agency knows its work caused the citation, because a strong answer will reference a baseline measurement taken before the work and a follow-up read afterward rather than assuming the timing alone proves the point. When a team can show that before-and-after discipline, it tells you they're running a real method instead of taking credit for movement they happened to coincide with.

It also helps to ask about a program that did not go as planned and what they changed in response. When a team can talk candidly about a campaign that underperformed, and what they learned from it, that usually signals more experience than a claim that every engagement is a clean win. Experienced practitioners have seen enough programs to know the work is iterative, and they'll describe it that way.

How should a GEO agency report on results?

A GEO agency should report on the share of AI answers where your brand appears, how those numbers trend over time, where you stand against named competitors, and which specific work drove each change. Reporting has to connect to a decision you need to make, because the point of measurement is to justify continued investment or redirect it. A report full of activity counts, like pages published or prompts tracked, confirms the agency stayed busy while leaving you no clearer on whether any of it moved your visibility.

The reporting cadence matters as much as the contents. Monthly is a reasonable rhythm for most programs, frequent enough to catch what's working and slow enough that the data has time to mean something. Ask to see a sample report before you sign, and judge whether you could hand it to your CEO and have the story land without a translator. If you'd need the agency in the room to explain what the numbers mean, the reporting isn't doing its job.

One free starting point worth knowing is HubSpot's AI Search Grader, which gives you a baseline read on how AI engines currently describe your brand. Running it before you hire gives you a number to hold an agency's reporting against, so you can judge improvement from a known starting line rather than taking the first month's dashboard on faith.

How do you judge whether a GEO agency is the right fit?

Fit comes down to whether the agency's scope matches your situation, whether they understand your industry well enough to capture real expertise, and whether the working relationship feels like a partnership where they're invested in the outcome. A team with an impressive track record in a different field may still be the wrong fit if they can't get up to speed on how your buyers think and what questions they ask AI. The best results we've seen come when the agency can write with genuine practitioner knowledge, which depends on how well they learn your business.

Scope is where fit gets practical. A smaller engagement focused on a core set of high-value pages tends to suit a team testing whether GEO is worth a larger commitment, while a full managed program suits an organization ready to run AEO as an ongoing line of work. Both are good options, and the right one depends on how much internal capacity you have and how quickly you need to see movement. Ask the agency to recommend a scope based on your goals and budget, then judge whether the recommendation fits your situation or just maximizes their retainer. Comparing how different teams structure programs and pricing also helps you read whether a quote matches the work behind it.

The relationship signals show up in the sales conversation itself. An agency that asks sharp questions about your goals, your buyers, and your current setup is already doing the kind of thinking the engagement will require, which is a good sign of how the work will go. If a team instead jumps straight to a package and a price before understanding your situation, that preview is worth weighing too. Pay attention to how well they listen, because that's the clearest preview of what working together will actually feel like.

What does a good GEO engagement look like?

A good generative engine optimization engagement opens with a baseline audit, moves into prompt and competitor research, then runs a prioritized cycle of content and technical work measured against where you started. The first phase establishes where you appear today and where your competitors are winning, which is the data that tells you what to fix first. Skipping straight to content production without that baseline means you're guessing at priorities and have nothing to measure against later.

From there the work settles into a recurring loop: create or improve the pages most likely to earn citations, tighten the technical signals that help engines extract your content, then read the results and feed what you learn back into the next round. The cadence stays steady because GEO compounds gradually as the signals accumulate, so the agencies that produce durable results treat it as an ongoing program with regular reviews. You should be able to see, at any point, what's being worked on and why.

A good engagement is also clear about what it needs from you. Earning citations depends on real expertise making it into the content, which means your team will need to spend time sharing what only practitioners in your business know. An agency that sets that expectation up front, and builds a light process for capturing your knowledge, is one that has run successful programs before and knows where they tend to stall.

Schema markup recommendations

Schema markup is one of the strongest technical signals a GEO agency can put to work, because structured data tells AI engines exactly what a page contains and how to interpret it, which makes your content easier to extract and cite. When you vet an agency, ask how they handle schema, since a team that treats it as an afterthought is leaving citations on the table.

For generative engine optimization specifically, prioritize these schema types:

• FAQPage schema on any page built as questions and answers, which maps directly to the format answer engines pull from.
• Article schema with explicit author, publish date, and update date, supplying the authorship and recency signals engines weigh when deciding whom to trust.
• Organization schema on your brand pages so engines attribute mentions correctly and understand what your company does.
• HowTo schema on process and step-by-step content, giving engines a clean structure to lift into a procedural answer.

Implementing schema accurately across a full site is detailed work, and broken markup silently costs you visibility because engines skip data they can't validate. We built our HubSpot website schema solution to keep structured data accurate across a site as content changes. Whatever method an agency uses, ask them to validate schema with a structured data testing tool and keep it current, because stale markup undermines the rest of the program.