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A generative AI search engine optimization agency (a GEO agency) helps your brand get cited and recommended inside large language models like ChatGPT, Perplexity, Claude, and Google's AI Overviews. The tactics are different from traditional SEO. You are no longer fighting for rank 1. You are fighting to be the source the model quotes.
If you already have an SEO retainer, you probably do not have a GEO retainer yet. Most agencies bolted "AI" onto their existing decks last year and called it done. Real GEO work looks like entity reinforcement, citation building, schema, and content shaped for extraction — not keyword density. This guide explains what a GEO agency actually does, what to ask one before you sign, and when a fractional specialist beats a full retainer.
What is a generative AI search engine optimization agency?
A generative AI search engine optimization agency is a marketing firm that gets your brand cited as a source by large language models. They optimize for ChatGPT, Perplexity, Google AI Overviews, and Claude — not for the blue links below those answers. The deliverable is citation volume and answer-share, not keyword rank.
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Calculate your team cost →The category is also called generative engine optimization (GEO) or answer engine optimization (AEO). The phrase "GEO" entered serious usage after the 2023 GEO paper from Princeton and Georgia Tech showed that simple content changes could lift LLM citations by 40%+. Most agencies today still treat it as a feature of SEO. A dedicated GEO agency treats it as its own discipline.
What you should expect from a serious GEO agency:
- Audit of how your brand currently appears (or does not appear) inside ChatGPT, Perplexity, Gemini, and Claude
- A short list of named queries you want to win — the ones a buyer would actually ask an LLM
- Content restructuring so answers are extractable (40-60 word answer blocks, schema, lists, tables)
- Digital PR aimed at the specific publications LLMs are most likely to cite — not generic backlinks
- Entity work: making sure your brand is consistently described, linked, and disambiguated across the open web
- Measurement: tracking citation share by engine, not just keyword positions
What you should not expect: rank reports for queries that no longer trigger blue links, or vague promises about "future-proofing your SEO." If the deck looks identical to a 2022 SEO deck with the word "AI" stamped on the cover, walk.
How GEO works (and why it is different from traditional SEO)
GEO works by feeding LLMs the structured, source-rich, repeatedly-cited content they prefer to quote. Traditional SEO optimized for crawlers and ranking algorithms. GEO optimizes for extraction. The model has to be able to find your answer, judge it as authoritative, and quote it without rewriting.
Three mechanics matter most:
- Entity reinforcement — Your brand name must be linked consistently across high-authority pages. If half the web calls you "Acme Inc." and half calls you "Acme Marketing," the model gets confused and cites neither.
- Extractable structure — Models prefer short answer paragraphs, clear headings, structured data (FAQPage, HowTo, Article schema), and tables for comparisons. Walls of prose lose.
- Cross-site citation density — LLMs weight sources that are already cited by other trusted sources. A single backlink does almost nothing. Five mentions across Search Engine Land, Wikipedia, industry reports, and Reddit threads do a lot.
Here is the side-by-side most buyers find clarifying:
| Discipline | Optimizes for | Primary deliverable |
|---|---|---|
| Traditional SEO | Google blue-link ranking | Keyword position reports |
| AEO (Answer Engine Optimization) | Featured snippets, People Also Ask | Snippet captures |
| GEO (Generative Engine Optimization) | LLM citation share | Citations inside ChatGPT, Perplexity, Gemini, Claude |
The honest take: most GEO agencies are still figuring this out. The measurement layer is immature. Anyone claiming a "proven GEO methodology" started doing this less than two years ago, which is how long ChatGPT Search and Google AI Overviews have been mainstream. Demand humility from the agencies you talk to.
What services should a GEO agency offer?
A GEO agency should offer the same six services across every engagement: citation audit, entity work, content restructuring, schema implementation, digital PR aimed at cited sources, and a measurement loop. If any of those six are missing, you are buying SEO with a new label.
What each one should look like in practice:
- Citation audit — A baseline of where you are mentioned (and not mentioned) inside ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews for your top 20-50 queries. Without this, there is no scoreboard.
- Entity work — Wikipedia entity (where eligible), Wikidata entry, consistent name and description across G2, Crunchbase, LinkedIn, your homepage, and every press mention. Disambiguation is the goal.
- Content restructuring — Rewriting your highest-intent pages so every section opens with a 40-60 word standalone answer block. Adding comparison tables, FAQ sections, and structured data markup that follows Google's structured data guidelines.
- Schema implementation — At minimum: Article, FAQPage, HowTo, BreadcrumbList, and Organization. For products: Product schema with ratings. LLMs sample from structured data when it exists.
- Digital PR — Targeted placements on sites the models actually cite. That means industry publications, expert roundups, original-data studies, and Reddit/Quora threads. Generic backlinks do not move citation share.
- Measurement — Monthly tracking of citation share per engine, branded query volume, and downstream traffic from AI referrers (ChatGPT, Perplexity, Gemini source links).
You also want explicit ownership of your data feeds — if the agency is updating your Wikidata or Crunchbase entry, you keep the credentials. Agencies that gatekeep accounts are agencies you cannot fire.
One last thing worth asking: do they actually build AI marketing tools into the workflow, or are they hand-pulling everything? Manual GEO work scales badly. The agencies that will still exist in two years already built monitoring dashboards.
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Ask these 10 questions on the first call. The answers separate real GEO operators from rebadged SEO shops.
- "Show me a client where you increased ChatGPT citations. What did you change?" — Good answer: a specific case with before/after citation counts on named queries. Bad answer: "We are seeing great results across the board."
- "What is your monitoring stack for tracking citations across ChatGPT, Perplexity, Gemini, and Claude?" — Good: named tools (Profound, Otterly, AthenaHQ, or in-house dashboards). Bad: "We monitor manually."
- "How do you decide which queries to target?" — Good: a workshop pulling from sales calls, support tickets, and buyer-intent keyword research. Bad: "We use our standard query list."
- "What is your digital PR strategy specifically for LLM citations?" — Good: a target-publication list with cited-frequency data. Bad: any generic backlink answer.
- "How do you handle entity disambiguation?" — Good: a clear Wikidata + Wikipedia + structured-data process. Bad: a blank stare.
- "What is your ratio of senior to junior staff on my account?" — Good: senior strategist owns the account; juniors execute under review. Bad: "We have a great team." (Translation: a junior will own your account.)
- "What does month one look like?" — Good: audit, baseline measurement, quick-win restructuring of 5-10 pages. Bad: "We will get started right away" with no roadmap.
- "Who owns the tooling and accounts?" — Good: you do. Bad: they do, with a fee to transfer back if you cancel.
- "What is the minimum contract length?" — Good: month-to-month, or a 3-month commitment maximum. Bad: 12 months with kill fees.
- "What does success look like at 30, 60, and 90 days?" — Good: specific metrics tied to your queries. Bad: "It takes 6-12 months to see results." (Translation: please do not measure us.)
Two red flags worth naming directly: a guaranteed citation count (no honest agency promises this) and a deck that does not name a single LLM by version. If they cannot tell you whether they optimize for GPT-4o or GPT-5, they are not operating in this space yet.
GEO agency vs. fractional GEO marketer vs. in-house
Three paths exist for building GEO capability. A full agency handles everything end-to-end at a premium. A fractional GEO marketer (a senior specialist working 10-30 hours a week) gives you the same strategic horsepower at a third of the cost. An in-house hire takes 3-6 months to recruit and another quarter to ramp.
Here is the honest comparison:
| Path | Best when | Typical cost |
|---|---|---|
| GEO agency | You want a full team and have $8-25K/mo to spend | $8,000-25,000/month retainer |
| Fractional GEO marketer | You want senior strategy without agency markup | $4,000-10,000/month |
| In-house hire | GEO is core to your product story, long-term | $120K-180K base + benefits |
The decision usually comes down to three questions. Do you have an existing marketing operator who can manage a fractional? If yes, a fractional GEO marketer almost always wins on cost and accountability. Are you starting from zero (no SEO foundation, no schema, no PR)? An agency may be worth it for the first 6 months to get a baseline built. Is GEO going to be a permanent capability inside your company? Then start interviewing for the full-time hire now, because the recruit-and-ramp cycle is long.
MarketerHire's match data backs this up: of the SEO and GEO specialists we have matched into client teams, 95% of trials convert to ongoing engagements when the company has at least one internal owner to coordinate. When the company has no internal marketing leader at all, an agency or a fractional CMO usually has to come first.
If you are still figuring out which roles you actually need, outsourcing SEO is a useful adjacent read — the staffing logic is similar.
How much does a generative engine optimization agency cost?
GEO agency pricing ranges from $5,000 to $25,000 per month in 2026, with most quality firms landing between $8,000 and $15,000. Pricing reflects scope, brand size, and how much technical work (schema, structured data, Wikidata) the agency owns versus your in-house developers.
| Tier | Monthly retainer | What you get |
|---|---|---|
| Entry | $5,000-8,000 | Audit, basic schema, monthly reporting, light content edits |
| Mid-market | $8,000-15,000 | Full citation tracking, digital PR, content restructuring, monthly strategy |
| Enterprise | $15,000-25,000+ | Multi-region, multi-engine, custom monitoring, executive thought-leadership |
What drives the price up: number of target queries, number of languages or regions, depth of content backlog to restructure, and whether the agency is also doing your digital PR (which is expensive — outreach to top-tier publications burns retainer fast).
What drives it down: a clean existing SEO foundation, structured data already in place, an internal content team that can execute on briefs, and a focused query list (40-60 priorities, not 400).
For context on broader marketing spend, see what a marketing team should cost for your stage.
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