Generative Engine Optimization Agency: What Should You Actually Be Paying For?

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A generative engine optimization agency can sell you monitoring, diagnosis, remediation, authority work, measurement or experimentation. Only some of those move the number. Here is how to tell which you are buying.

Why this matters #

A generative engine optimization agency can sell you monitoring, diagnosis, remediation, authority work, measurement or experimentation. Only some of those move the number. Here is how to tell which you are buying.

In this cluster

Cluster context #

This article sits inside AI Visibility Engineering.

Open topic hub Entity graphs, schema architecture, and citation mechanics for sub-DR-20 sites competing on AI citations, not SERP rank.

SEO optimizes for rank. Answer engines optimize for citation-worthiness. This cluster is the engineering playbook for the second game, sized for operators, not enterprise SEO teams.

How ChatGPT and Perplexity Decide Which Sources to Cite

How answer engines like ChatGPT and Perplexity decide which sources to cite: six measurable factors, 2026 platform data, and the fix for each one.

Entity Optimization for Brands in AI Search

Rank is a single-page game. Entity coherence is the compounding game. How sub-DR-20 brands engineer a Person + Organization graph that AI search engines actually cite.

Schema.org for Answer Engines, the 40 Properties That Matter

A tactical guide to the Schema.org properties answer engines actually read. Which fields move citation decisions, which are noise, and how sub-DR-20 operators compress a full JSON-LD graph into the forty that matter.

A generative engine optimization agency should be paid for work that changes which sources an AI engine uses when it answers your buyers, and for measurement that proves whether the change happened. Six kinds of work get sold under the GEO label. Two of them are the reason you are here. Two are supporting work. Two are mostly vanity. This page separates them so you can read a proposal and see what you are paying for.

The mechanics of how engines select sources are covered in the answer engine optimization explainer. This page assumes you have budget and are deciding where it goes.

The six kinds of GEO work #

Kind of work	What it produces	Moves the number?	Fair price shape
Monitoring	A recurring read of who engines name, per question	No, but you cannot manage without it	Low monthly, or bundled with measurement
Diagnosis	Why your pages lose on each question, cause labelled	Indirectly. It decides what to fix	Fixed fee, once, with a written output
Content and technical remediation	Pages that answer questions, entity clarity, schema, crawler access	Yes, when aimed by a diagnosis	Project or sprint, scoped to a repair list
Authority and corroboration	Third-party mentions engines treat as evidence	Yes, slowly	Project, honest about timing
Measurement	Before and after, same method, noise floor stated	It is the proof	Included, or it is not an engagement
Ongoing experimentation	Testing which changes engines respond to	Yes, for teams past the basics	Retainer, justified by a measured baseline

Diagnosis and remediation are the work. Measurement is the proof. Monitoring is the input. Authority is the slow multiplier. Experimentation is the advanced tier that only makes sense once the first four exist.

What each one looks like when it is done well #

Monitoring asks a fixed set of buyer questions on each engine, on a schedule, and records every company and source named. Done well, it is reported per engine and keeps the question list stable so reads are comparable. Done badly, it is a single blended score that moves for reasons nobody can explain.

Diagnosis reads each absence and labels its cause. In practice there are four: the engine cannot read the page, the page has no quotable passage answering the question, no third party corroborates the claim, or a competitor page simply answers better. Each cause needs a different repair, and mislabelling wastes the whole budget. This is the deliverable you should own in writing before any retainer.

Remediation is what most agencies actually sell, and it is legitimate when aimed. A page that directly answers a buyer question, in plain text, with the company named as a vendor, is the single highest-yield repair. Schema, crawler access and entity clarity support it. Ten new blog posts with no diagnosis behind them are not remediation. They are volume.

Authority and corroboration means getting the claim on your page repeated somewhere an engine trusts: a comparison article, a directory, a community answer. In a seven-site audit, domain authority did not predict citations, so this is about the right mention, not more links.

Measurement repeats the baseline with the same method and reports the change against a stated noise floor. Presence moves between pulls. An agency that has not measured its own variance cannot tell you whether a change is real.

Experimentation tests which changes an engine responds to in your category and drops the ones that do not. It only pays once the basics are in place, and it should be sold as a retainer with a measured reason to exist.

Deliverables that look like work but are not #

None of this is an accusation against any vendor. These are patterns, and every one of them can be sold in good faith by someone who has not measured.

An AI visibility score with no source list. You cannot act on it. Ask for the sources behind the score.
A monthly content volume commitment before a diagnosis. Pages aimed at nothing.
“AI-ready” schema packages. Schema helps a page that already answers the question. It does not rescue one that does not.
Prompt lists with no engine reads. Which questions to ask is the easy half.
Guarantees. Any promise of citation counts or “AI rankings” is a promise the vendor has not tested against its own variance.
Blended engine reporting. ChatGPT, Perplexity and Google AI Overviews disagree sharply. Inmy own 47-answer study , my product was named 3 times, all on one engine and none on the other two. One number would have hidden that.

What a fair engagement is shaped like #

Free or cheap first read. A sample of buyer questions run before any money changes hands, so both sides see real answers.
Fixed-fee diagnosis with a written repair list you own.
Scoped remediation against that list, smallest repairs first, priced as a sprint.
Repeat measurement with the same method, and a plain statement of whether the change is inside the noise floor.
Retainer only if step 4 justified it.

That ladder is how I structure it, and the AI Discovery Review is step one. Step two is the $1,500 Citation Gap Diagnostic. If the first read shows no gap worth closing, the honest outcome is that you spend the budget elsewhere.

When you should not hire a GEO agency at all #

Your pages do not answer your buyers’ questions yet. Write the pages. Measure afterwards.
Your site has crawl or performance problems. Engines read the same pages Google does. A traditional SEO agency fixes that faster and cheaper.
Your category has almost no assistant-driven research. Some B2B categories still buy from a procurement list. Check your sales calls before buying visibility in a place buyers are not.
You want a score for a board slide. Monitoring alone is cheap. Buy that and skip the retainer.

The decision page on B2B SEO agencies versus AI search specialists walks through which of these you are in.

Frequently asked questions #

Is GEO just SEO with a new name? Partly. The page-quality foundations transfer. What is new is that the outcome is a generated answer that names companies rather than a ranked list of URLs, and rank reporting cannot see it.

How much should a diagnosis cost? Enough to cover fifteen to twenty questions across three engines read by a person, and no more. If it is bundled into a retainer so you cannot buy it alone, that is a sign.

Can I do the monitoring myself? Yes. The method is four steps and needs no tooling. I use the citability.dev panel for the pulls on my own products, but a spreadsheet works for a first read.

· Sources & further reading

Sources & Further Reading #

Sources

Why ChatGPT Is Not Citing Your Website chudi.dev Shows what a generative engine optimization diagnosis measures, separating monitoring from remediation.
AI Citability Audit: What Predicts Citations chudi.dev Seven-site audit showing domain authority did not predict AI citations, the evidence behind the buyer questions here.

Continue the AI Visibility Engineering track #

Go to hub Contextual next reads