A generative engine optimization agency is a firm that makes your brand easier for AI systems to retrieve, quote and recommend, across ChatGPT, Google AI Overviews and AI Mode, Perplexity, Gemini and Copilot. The work spans content restructuring, entity and schema cleanup, off site mention building, crawler access and citation measurement. It is a content and measurement discipline, not a ranking service.
The category is young enough that two firms using the same words sell different things. One means a schema audit. Another means a content refresh. A third means a monthly report of how often a model says your name. Before you brief anyone, it helps to have the vocabulary straight, which is what we set out in LLMO versus SEO versus GEO versus AEO. DevCommX builds AI search visibility programmes for B2B teams, so what follows is the scope we deliver, the scope we decline, and the questions we would ask as a buyer.
The short answer: what a generative engine optimization agency does
A generative engine optimization agency takes responsibility for how AI assistants describe and cite your company. That resolves to five deliverables: pages restructured so a model can lift a clean answer, one consistent set of machine readable facts about your brand, a wider footprint of third party mentions the models already trust, unblocked crawler and render access for AI user agents, and a measurement panel recording which buyer prompts surface you. Our AEO and GEO service is built around those five, and any credible provider should name theirs on the first call.
Demand for the work is downstream of a change in buyer behaviour, not a change in any algorithm. Gartner predicted in February 2024 that traditional search engine volume would fall 25 percent by 2026 as users move queries to chatbots and virtual agents. You need not accept that figure to accept the direction: a growing share of buyer research now happens inside a generated answer that may never show your link.
So you are not buying traffic. You are buying presence inside the answer, and an accurate description once you are in it. That distinction governs how GEO services get priced and which reports you should refuse.
What GEO covers, and what it does not
GEO covers the inputs a model can reach: your published content, your structured data, the third party pages that describe you, and the crawler permissions that decide whether any of it is readable. It does not cover the model's judgement. Nobody outside OpenAI, Google, Anthropic or Perplexity sits inside their retrieval logic, and a provider implying otherwise is selling a story.
It also does not fix a weak product story. Assistants summarise what the web already says about you, so a page that is vague about who it serves produces a vague summary. We covered that failure mode in why AEO will not fix average content, and it applies identically to GEO.
One further boundary changes the business case you will defend internally. Pew Research Center, analysing browsing data from March 2025, found that Google users who saw an AI summary clicked a search result 8 percent of the time, against 15 percent for users who did not see one. A strong GEO engagement wins mentions and recommendations. It will not restore the clicks the AI summary removed, and an agency promising that is answering a different question.
| Area | Inside a GEO engagement | Outside it, and who owns it instead |
|---|---|---|
| Page structure and answer formatting | Rewriting pages so a model can lift a standalone answer | Brand messaging strategy, which stays with product marketing |
| Structured data and entity facts | Schema, consistent naming, sameAs profiles, disambiguation | A rebuild or CMS migration, which stays with web engineering |
| Third party mentions | Presence in the roundups, reviews and communities models cite | Paid placement, which stays with the media budget |
| Crawler and render access | robots.txt, AI user agents, server side rendering of key content | Infrastructure and CDN policy, which stays with IT |
| Measurement | A fixed prompt panel, citation and referral tracking | Revenue attribution to one assistant, rarely solvable today |
| Product claims | Making claims you already stand behind machine readable | Inventing claims the product cannot support |
| Demand | Presence when a buyer already asks the category question | Creating the question, which stays with demand generation |
Read the right hand column during scoping. Most disappointing engagements are scope collisions, not execution failures: the agency assumed someone owned a column nobody staffed.
The five workstreams a generative engine optimization agency runs
One, answer architecture. Every priority page gets a direct, standalone answer near the top, plus the definitional sentences, comparison tables and question headings that a model can lift without rewriting. Two, entity and facts work. Your brand facts are made consistent everywhere a machine reads them: one legal name, one description, one founding date, one product taxonomy, matching across your site, your structured data and your third party profiles. Inconsistency here is the commonest reason an assistant describes you as something you are not.
Three, off site presence. Models lean on sources they already trust, so much of generative engine optimization services work is getting your brand into the roundups, review platforms, directories and community threads that already answer your category question. This is closer to digital PR than link building, as we argue in brand mentions versus backlinks in AI search. Four, retrieval access. Someone has to confirm that AI user agents can actually fetch your pages. OpenAI documents its crawlers, including OAI-SearchBot, and the robots.txt directives that govern them, and Anthropic documents ClaudeBot and how site owners control it through robots.txt. A firewall rule nobody remembers adding will quietly undo the other four workstreams.
Five, measurement. The agency builds a fixed panel of buyer prompts, runs it on a schedule across the assistants your market actually uses, and records whether you appear, how you are described, and who gets named instead. That panel is the report. Our method is in how to measure LLMO and AI visibility. If a prospective GEO agency cannot describe its panel at this level of detail, it does not have one yet.
What the first 90 days of a GEO engagement look like
Days 0 to 30, baseline and access. Nothing else is worth doing until you know where you stand. Agree the prompt panel with your sellers rather than your SEO team, because the questions that matter are the ones buyers actually type. The agency then runs the panel cold, records which competitors get named instead of you, and audits crawler access, rendering and structured data. Month one should end with a baseline you can be shown, not a slide that says opportunity.
Days 31 to 60, build. Priority pages get restructured, brand facts get reconciled, and the off site programme starts. This is the slowest stretch, because third party mentions move at the speed of other people's editorial calendars. Expect a visible queue of named pages and named target sources, not a volume commitment that filler can satisfy.
Days 61 to 90, read the change. Re-run the panel and compare like for like. Some prompts move, most will not, and a few get worse because a competitor published something good. That is normal, and an agency reporting only improvements is filtering. Assistant by assistant tactics sit in how to get cited by ChatGPT. Ninety days is long enough to see panel movement and far too short to judge revenue.
How a GEO agency measures results, and which metrics to refuse
Three measurements carry real information. First, prompt panel coverage: the share of your fixed buyer prompts where your brand appears at all, run on the same schedule with the same wording. Second, how you are described when you do appear, a quality signal no single number captures and often the thing worth fixing first. Third, assistant referral behaviour on your own property, which you can read directly in analytics once the referrers are grouped, a setup we walk through in tracking ChatGPT referral traffic in GA4.
Platform reporting has begun to catch up. Google introduced generative AI performance reports in Search Console, giving site owners a dedicated view of impressions inside AI experiences on Search. Ask how an agency combines that first party view with its own panel, because the two answer different questions.
Refuse three metrics. An AI rank or position number, because a generated answer is not a ranked list and the number has to be manufactured to exist. A share of voice figure with no published prompt set, because the prompts determine the result and an unpublished set can be tuned to flatter. And any citation guarantee. No provider controls what a model outputs on a given day, so the guarantee is either meaningless or a promise to game the measurement behind it.
What it costs, and what actually drives the number
We will not publish a price list, because GEO pricing tracks scope rather than a market rate, and a number quoted without its scope misleads. What is useful is the set of variables that move a quote, so you can compare two proposals that look nothing alike.
Page count and rewrite depth. Restructuring twelve commercial pages differs from restructuring two hundred, and depth matters more than count. Entity footprint. One product with one name is cheap to make consistent. Three acquired brands with overlapping naming is a project in its own right. Off site ambition. Earning presence on the sources your category's answers already cite is the least predictable and most labour intensive line, so price and review it separately. Panel size and cadence. Forty prompts monthly across two assistants costs a fraction of three hundred weekly across five, and the larger panel is not automatically better.
The question underneath the retainer is really how you split spend between classic search and AI search. A Gartner consumer survey found only about one third of consumers say generative AI rivals search engines, and concluded that marketers should optimise for both. Our working model for that split is in the SEO and AEO ROI budget model. If you plan to hire a GEO agency without a defensible split behind it, build the split first.
Telling a real GEO agency from an SEO agency with a new deck
The tell is not vocabulary, because everyone has that now. The tell is whether the deliverables change when the channel changes. Ask to see a recent output, redacted if necessary. If the sample is a keyword gap analysis, a backlink plan and a content calendar with AI added to the headings, that is an SEO retainer in new packaging. Useful, but not GEO, and it should not be billed as GEO.
A real practice shows three artefacts a classic SEO retainer never produces: a written prompt panel with the prompts visible, a crawler access audit naming specific AI user agents and citing logs or robots.txt, and an entity consistency sheet reconciling how your brand is described on your site and on third party sources. Those three exist or they do not, and checking takes ten minutes.
The second tell is what happens when you ask about failure. A practitioner names the prompts they expect to be hard, explains why one review site dominates some categories, and says what they would do if six months moved nothing. A packager describes their process. The underlying distinction between the disciplines is in AEO versus GEO.
The questions to ask before you sign
Take these into the call close to verbatim. What is on my prompt panel, and who wrote it? The answer should involve your sellers and your last ten lost deals. What do I own if I cancel in month four? Content, schema, the panel and its run history should sit on your infrastructure from day one. Which AI user agents can reach my site, and how do you know? A real answer cites server logs or robots.txt, not an opinion. What will you refuse to do? Every honest practice has a list.
Two more separate the serious from the rest. Show me a report where the number went down. Anyone who has run this for a year has one, and how they explain it predicts how they behave in your bad quarter. What does month seven look like? If the plan is the same audit with fresh dates, the engagement is a project sold as a retainer, so buy it as a project.
Build Your GEO Programme With DevCommX
DevCommX runs GEO and AEO programmes as engineering work with a named owner on your side, and we publish the panel rather than a score. The same operating model runs our AI SDR builds, which is where our one hard performance number comes from: 40+ qualified demos in ~6 weeks on a fully scoped programme with a defined ICP, from our AI SDR work rather than a GEO engagement. If you want the scope, the panel and an honest list of what we would decline, start with our generative engine optimization agency page and then book a strategy call to map it to your pipeline.
References
- Gartner, Gartner Predicts Search Engine Volume Will Drop 25% by 2026, source for the forecast 25 percent decline in traditional search engine volume by 2026.
- Pew Research Center, Google users are less likely to click on links when an AI summary appears in the results, source for the 8 percent versus 15 percent click rate comparison, March 2025 browsing data.
- Gartner, Survey Finds Only One-Third of Consumers Say GenAI Rivals Search Engines, source for the one third of consumers figure and the advice to optimise for both channels.
- OpenAI, Overview of OpenAI Crawlers, source for OAI-SearchBot and the robots.txt directives that control OpenAI crawlers.
- Anthropic Help Center, Does Anthropic crawl data from the web, and how can site owners block the crawler, source for ClaudeBot and the robots.txt controls open to site owners.
- Google Search Central, Introducing Search Generative AI performance reports in Search Console, source for first party reporting of impressions inside AI experiences on Search.
- Google Search Central, Optimizing your website for generative AI features on Google Search, source for Google's position that crawlable content and standard practice, not special optimisations, drive appearance in AI features.
FAQ
What does a generative engine optimization agency do?
A generative engine optimization agency makes your brand easier for AI assistants to retrieve, quote and recommend. It restructures priority pages into extractable answers, makes your brand facts consistent in structured data and third party profiles, earns mentions on the sources models already cite, confirms AI crawlers can reach your pages, and measures results against a fixed panel of buyer prompts.
How much does GEO cost?
There is no market rate worth quoting, because GEO pricing tracks scope. Four variables move every quote: how many pages need restructuring and how deeply, how tangled your brand naming is, how ambitious the off site mention programme is, and how large the measurement panel is. Ask any agency to price those four separately so proposals become comparable.
Is GEO different from SEO?
Yes, although they overlap. SEO optimises for a ranked list of links and is measured in positions, clicks and sessions. GEO optimises for inclusion inside a generated answer and is measured by whether a model mentions and describes you correctly across a set of buyer prompts. Good SEO hygiene helps, but the deliverables and the definition of success differ.
How long does a GEO engagement take to show results?
Expect prompt panel movement in roughly 90 days and nothing reliable about revenue in that window. Content and structured data changes propagate fairly quickly. Off site mentions move at the speed of other people's editorial calendars, the slowest part of the programme. Judge the first quarter on panel movement and on how your brand gets described.
Can a GEO agency guarantee a ChatGPT or Perplexity citation?
No. No provider controls what a model outputs for a given prompt on a given day, and no platform sells guaranteed inclusion in a generated answer. An agency can guarantee its own deliverables: pages restructured, schema shipped, crawler access verified, panel runs completed. Treat a citation guarantee as a reason to end the conversation.
Should you hire a GEO agency or build the capability in house?
Hire a GEO agency when you need the panel, the entity cleanup and the off site programme running within a quarter and nobody in house has done it before. Build in house when you already have a content team with spare capacity and an engineer who can ship schema. Many teams buy two quarters, then take over the panel.
.webp)
