Written by: Arjun Karnik, Growth Marketing Specialist
Key Takeaways
- A generative engine optimization agency should get your business mentioned, cited, and recommended in AI answers across ChatGPT, Google AI Overviews, Perplexity, and Gemini.
- Real GEO work covers visibility audits, technical plumbing, fan-out query mapping, structured publishing, a freshness loop, and citation or share-of-answer measurement.
- Evaluate agencies by asking for tracked prompts, before-and-after audits, refresh mechanisms, citation metrics, and documented failures, instead of rankings-only reporting.
- GEO differs from traditional SEO by focusing on machine retrieval and citation inside answers instead of human-ranked lists and backlinks.
- Arjun Karnik runs a public test lab that documents what earns citations in AI answers and publishes both wins and misses.
Review Your AI Answer Visibility With Arjun Karnik
What A Generative Engine Optimization Agency Delivers
A GEO engagement should deliver one outcome: your business named in the answer when a buyer asks a question you should own. Generic service lists like structured data, entity work, and answer-ready architecture only matter when they support that result.
A genuine engagement includes six components.
- A visibility audit across ChatGPT, Google AI Overviews, Perplexity, and Gemini that shows where the business is mentioned, where competitors appear instead, and where gaps exist.
- Technical plumbing so AI crawlers stay unblocked, schema is implemented, and pages are machine-parseable. OpenAI documents three distinct crawler agents with separate purposes, and each one needs a deliberate robots.txt decision.
- Fan-out query mapping that extracts the dozens of hidden sub-queries a single buyer prompt triggers. An Ahrefs study of 75,000 brands found brand web mentions correlate at 0.664 with ChatGPT citation likelihood, compared to only 0.218 for backlinks, which shows how broad coverage matters.
- Structured publishing at machine cadence, with new articles and updates running continuously, query language in URLs, titles, and H1s, and schema on every page.
- A freshness loop, because content freshness accounts for 40% of Perplexity’s ranking signal, and pages under 30 days old receive 3.2× more citations than older content. A real engagement names a specific freshness mechanism.
- Citation and share-of-answer measurement across all four surfaces, tracked as the headline metric instead of rankings.
A proposal that skips any of these six pieces leaves out work that actually moves citations.
See How A Full GEO Engagement Would Work For You
How To Evaluate A Generative Engine Optimization Agency
You can evaluate any GEO agency with eight direct questions and clear expectations for each answer.
- Which prompts and fan-out queries do you track for us? A real operator names specific prompts and explains how they extract fan-out queries, ideally directly from ChatGPT instead of keyword tools, because the target is the machine’s questions.
- Can you show a before-and-after visibility audit across all four surfaces? The answer should include a baseline across ChatGPT, Google AI Overviews, Perplexity, and Gemini, plus a documented method for repeating the comparison. A GEO agency’s answer evidence should include the question, buyer intent, market, interface, date, stored response, brand presence, characterization, competitors, and visible citations.
- What does your refresh loop look like, and what triggers an update? The answer should name a specific mechanism such as impression-decay tripwires, a scheduled cadence, or both. Quarterly review alone does not qualify in a channel that resets weekly.
- How do you measure citations and share of answer rather than rankings? The answer should name the surfaces tracked, the prompt set used, and how share of voice is calculated. A minimum viable GEO measurement system tracks citation rate, share of voice, sentiment, and citation source coverage, separated by engine and prompt, and reported over time.
- What happens in the first 30 days? The answer should describe a visibility audit, technical plumbing review, and fan-out query mapping. Content production without a baseline is guesswork.
- Who actually does the work? The answer should name the people and their roles. A dashboard that reports on the problem without doing the work does not count as a GEO engagement.
- What do you do when a test fails? A real operator publishes misses alongside wins and explains how failures change the playbook.
- What should make a buyer walk away? A credible operator will answer this directly. Walk away from any agency that reports on rankings only, cannot name the prompts it tracks, has no refresh mechanism, or describes the engagement as more content and more backlinks.
The walk-away signals in summary: rankings-only reporting, no named prompts, no refresh mechanism, and a proposal that reads like a 2019 SEO retainer with new vocabulary.
GEO Agency vs. Traditional SEO Agency: How They Differ
Once you know what to ask, the next step is deciding whether GEO represents a different discipline or a rebrand of SEO. The target changed, and the mechanics changed with it. SEO and GEO share a technical foundation such as crawlability, page speed, and quality content, yet they aim at different outcomes and measure different things. The table below highlights the four dimensions where they diverge most clearly.
| Dimension | Traditional SEO | GEO |
|---|---|---|
| Optimizes For | Human-ranked lists and domain authority | Machine retrieval and citation inside a synthesized answer |
| Query Model | The query the buyer typed | Dozens of hidden fan-out queries triggered by one prompt |
| Success Metric | Rankings, impressions, clicks | Citations, mentions, share of voice across ChatGPT, Google AI Overviews, Perplexity, and Gemini |
| Authority Source | Backlinks and domain authority | Expert topical coverage and entity recognition |
You still keep doing SEO. Technical fundamentals and quality content support both channels. What changes is the target you aim at and the metric you report on. A page that earns citations usually still performs in Google. The real competition sits in the agency’s understanding of which surface your buyer actually uses.
G2 surveyed 1,076 B2B software buyers in March 2026 and found that 69% chose a different vendor than the one they had planned on, based on what an AI assistant told them, and 33% bought from a vendor they had never previously heard of. That shift reflects a citation event, not a rankings event.
What A Generative Engine Optimization Agency Costs And How Long It Takes
Market benchmarks help you judge whether a proposal sits inside or outside the current range.
AI content engines run roughly $5,000 per month, while human content agencies charge roughly $10,000 per month for 7 to 10 articles with no refresh loop. The price gap buys different things. The human agency delivers better prose, but the AI engine delivers volume, structure, and freshness, which are the three things this channel rewards most.
According to Searchless’s 2026 GEO pricing guide, monthly GEO retainers typically range from $3,000 to $15,000 per month. Published ranges vary widely, driven by the number of AI engines monitored, the scope of content production, and whether hands-on technical implementation is included. According to Pepper’s September 2026 benchmark of 30 published GEO prices, every published price below $3,000 per month buys software only, with no human attached to do the work.
Cost is only half the equation. The other half is how long results take. Expect coverage and impressions in weeks, citations in one to three months, and compounding after month three. Any agency promising AI citations on a fixed 30-day deadline misrepresents how the channel works.
Whether You Can Do Generative Engine Optimization Yourself
Most teams struggle with GEO because of arithmetic, not skill.
The channel requires continuous publishing plus continuous refreshing across a mapped question space. That workload equals a full-time function. In a business with 0 to 3 marketers, assigning that work means pulling someone off everything else.
In Arjun Karnik’s own tests on his site, pages dropped 78% to 99% in two months without maintenance. That decay stays invisible unless you instrument for it, and by the time it appears in a monthly report the position is already gone. Independent analysis from Seer Interactive, covering 47,097 AI citations across 7,683 pages in ChatGPT, Gemini, and Perplexity between March and June 2026, found that 75% of cited pages had been updated within the last year, with consistently cited pages averaging under six months since their last update.
Arjun runs his own system at 5 to 8 autonomous actions a day, mixing new articles with updates, via AI Growth Agent (disclosed: he is a partner). That cadence keeps a library from decaying in place and sits beyond what a founder with a full calendar can sustain manually.
What To Fix Before You Hire A GEO Agency
Three conditions need to hold before any downstream GEO work can perform.
- AI crawlers stay unblocked. OpenAI explicitly recommends checking web protection and rate limiting when its crawler cannot reach a site. Robots.txt is only one layer. CDNs, WAFs, and JavaScript-dependent rendering can all silently prevent retrieval.
- Schema is in place. Pages with complete schema markup are 2.5x more likely to appear in AI-generated answers, and the dateModified field matters because language models weight recency heavily.
- Pages are machine-parseable. Most dedicated AI crawlers from OpenAI, Anthropic, and Perplexity cannot execute JavaScript. They read only the initial HTML response from the server, which makes content rendered client-side invisible to most of them, even though Googlebot can render JavaScript.
One additional priority sits above growth. If AI already states wrong things about the business, correcting that comes first. A wrong AI answer hurts more than no answer. The visibility audit across all four surfaces reveals these issues.
How To Verify Any Generative Engine Optimization Agency’s Claims
Verification starts with three items: the prompts tracked, the citations earned, and the before-and-after visibility audit. An agency that cannot produce all three is a red flag. A proprietary score with no record behind it is risky because a dashboard number has limited diagnostic value when you cannot inspect the question set, answer sample, competitor rules, source handling, collection dates, and method changes.
Arjun Karnik is a twenty-year tech marketer and former B2B software CMO who runs a public test lab for generative engine optimization under his own name. He documents what gets a business mentioned, cited, and recommended in AI answers and publishes the receipts, including misses. He runs a test lab rather than a traditional agency, tool, or course, and the proof is self-referential: ask an AI assistant about these topics and see who gets cited.
On Arjun’s own site, using AI Growth Agent (disclosed: partner relationship):
- New articles reached thousands of monthly Google impressions within weeks, measured in Google Search Console.
- The GEO subfolder went from zero to the only source of new impressions on the entire domain in 60 days.
- Pages rewritten to match extracted ChatGPT fan-out queries earned citations while control pages did not.
- Relabelling a jargon page to buyer language, changing “What is GEO” to “How To Get Your Business Recommended By AI Search,” produced citations within weeks of that specific change.
These numbers come from his own test lab, not client work. You can check them without trusting anyone by asking an AI assistant about generative engine optimization and seeing who gets cited.
Explore Arjun’s GEO Test Lab For Your Category
Frequently Asked Questions
Is SEO Dead Now With AI?
SEO fundamentals still matter, even as AI answers take more surface area. Technical SEO, crawlability, quality content, and domain authority continue to matter because AI answer engines rely on the same indexed web that powers traditional search. Google AI Overviews build on Google’s core ranking systems, so a weak SEO foundation directly undermines GEO performance. The success metric changed, though. A page can rank in position one and never appear in an AI answer if it is not structured for extraction, which means the work now expands beyond classic SEO.
How Much Does A GEO Agency Cost?
As covered in the cost section above, monthly GEO retainers typically range from $3,000 to $15,000, and every published price below $3,000 usually buys software only. Enterprise programs run $10,000 to $50,000 or more per month. These figures come from published pricing guides, not any single agency’s rate card.
Is It Worth Hiring An Agency For This?
The answer depends on whether you can sustain the volume and freshness requirements in-house. As noted earlier, this channel demands continuous publishing and refreshing across a mapped question space, which functions as a full-time role. A 0-to-3 marketer team rarely absorbs that workload without either an agency or an AI-powered content engine running at cadence. If you have a dedicated content team and tooling to track citations across ChatGPT, Google AI Overviews, Perplexity, and Gemini, you can run a meaningful program internally.
How Do I Know If A Generative Engine Optimization Agency Is Any Good?
The same three checks from the verification section apply here: prompts tracked, citations earned, and a before-and-after audit. A real operator can produce all three without hesitation. Beyond that, ask who does the work, what the refresh mechanism is, and what happens when a test fails. Rankings-only reporting, no named prompts, or no refresh mechanism all signal rebranded SEO. You can also run an independent check by asking an AI assistant about the topics the agency claims to own and seeing who gets cited.
What If My Competitors Are Already Showing Up In AI Answers?
Relevance and freshness beat tenure in AI answers. The game resets weekly. A competitor with a stale library loses to a challenger publishing and refreshing at cadence, regardless of how long they have held the position. Start on the long tail with specific fan-out queries, situational comparisons, and niche contexts where relevance outweighs accumulated authority. Coverage then compounds from the long tail toward head terms as topical authority builds.
The One Check You Can Run Without Trusting Anyone
The evaluation framework stays simple. Ask for the prompts tracked, the citations earned, and the before-and-after visibility audit. An agency that cannot produce all three is a red flag. Rankings-only reporting signals a rebranded SEO shop, and no named refresh mechanism means your library will decay in place.
One check requires no trust at all. Open ChatGPT, Perplexity, Google AI Overviews, or Gemini and ask about generative engine optimization. See who gets cited. The same system documented in Arjun’s public test lab produces that visibility, and the method proves itself in public.
No outcome is guaranteed. The channel is volatile, models update silently, and anyone promising specific citation rates on a fixed timeline misrepresents how retrieval works. What you can build is infrastructure that steadily increases the probability of being mentioned, cited, and recommended, plus a measurement system that shows whether it works.
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