If you've received an agency proposal in the last six months, there's a reasonable chance it included a line called "GEO" or "AEO." Maybe both. Maybe wrapped in language about "AI visibility strategy" or "generative search presence."
That's new. Two years ago this didn't exist. Now it's everywhere — because the numbers justify the pitch. The global GEO market is projected to hit $1.09 billion in 2026, growing at a 40.6% CAGR according to Dimension Market Research. Bluefish just closed a $43 million Series B in April 2026 to help brands show up in ChatGPT and Rufus — the category is attracting serious capital. And per Conductor's State of AEO/GEO 2026 report, 94% of enterprises plan to increase AEO/GEO investment this year. CMOs ranked it the number one marketing priority.
So agencies are responding to demand. That's fine. The problem is what they're actually delivering.
What's Getting Sold vs. What's Getting Done
When an agency adds GEO to a service menu, they're typically proposing one of three things:
Option A
Rename existing SEO work. "We're optimizing your content for AI engines" means keyword research and on-page edits — the same work, repackaged with newer language.
Option B
Manual spot checks. Someone asks ChatGPT "what's the best [category] tool?" a few times a month, screenshots the results, drops them in a report.
Option C
Repurposed SEO software. Tools like Semrush or Ahrefs have added AI visibility features. These were built for keyword ranking data — mapping them onto LLM behavior is imprecise at best.
None of these options is meaningless. But none of them constitutes a real GEO measurement program.
The Measurement Gap Nobody Talks About
Here's the core problem: AI visibility doesn't behave like search rankings.
In SEO, you can run a rank tracker and get a defensible number — your page is position 4 for "enterprise project management software." The number is real, reproducible, and auditable.
GEO doesn't work that way. LLMs don't return ranked lists. They synthesize a response — and whether your brand appears in that response depends on the prompt, the model, the day, and what retrieval sources the model is drawing from at that moment. ChatGPT and Perplexity share only 11% overlap in citations. The same prompt asked on a Tuesday and a Friday can return different brand mentions.
You can't track AI visibility with a rank checker. You need systematic prompt monitoring — the same prompts, run consistently, across multiple LLMs, at a cadence that catches when something changes.
Most agencies are not doing this. They're billing for a service that has no real measurement foundation underneath it.
What a Real GEO Deliverable Looks Like
If an agency is genuinely running GEO services, you should be able to see four things in their reporting:
| Deliverable | What It Means | Why It Matters |
|---|---|---|
| Prompt coverage | Dozens to hundreds of monitored prompts mapping actual buyer questions | Ten prompts is not a program. Coverage breadth determines what gaps you can actually find. |
| Cross-LLM tracking | Visibility tracked across ChatGPT, Gemini, Perplexity, and Claude | Single-platform spot checks miss most of the picture. Citation overlap between platforms is only ~11%. |
| Narrative accuracy | Audit of what AI says about you, not just whether you're mentioned | An LLM mentioning your brand with outdated or inaccurate information can be worse than not appearing at all. |
| Lost prompts | Queries where competitors appear but your brand does not | The most actionable metric in GEO — and the one most agencies are not tracking at all. |
If your agency's GEO report doesn't include these four things, you're paying for a word, not a service.
What to Ask Before You Sign
Before you add GEO/AEO to an agency scope of work, ask these questions directly:
- What prompts are you monitoring, and how many?
- Which LLMs are you checking — ChatGPT, Gemini, Perplexity, Claude, or others?
- How do you measure narrative accuracy — not just whether we're mentioned, but what's being said?
- How are you tracking lost prompts — the queries where our competitors appear but we don't?
- What tool generates your monitoring data, and how often does it run?
- Can I see a sample report from a current client?
A good agency partner will have clean answers to these questions. They may use Shensuo, Profound, Otterly, or another purpose-built AI monitoring platform. What they shouldn't do is pause when you ask what's running the data.
If the answer involves "we check ChatGPT manually" or "we use our SEO tool's AI features," you know what you're buying.
The Agencies That Will Get This Right
None of this is an argument against buying GEO services from agencies. The category is real, the demand is justified, and there are agencies doing this well. The work — understanding what prompts matter, building content that earns LLM citations, managing narrative accuracy across platforms — is legitimate and genuinely hard.
But the agencies doing it well have built their practice on a monitoring foundation that gives them real data. They know their clients' prompt coverage numbers. They can show you which LLMs are citing you and which ones are citing your competitors instead. They can tell you when your narrative shifted and what likely caused it.
That monitoring layer is what separates a real GEO service from a renamed blog strategy. Shensuo is built specifically for this: prompt monitoring across ChatGPT, Gemini, and Perplexity, AI visibility scores, competitive share reporting — the infrastructure that makes agency GEO work auditable and credible.
The market is $1.09 billion and growing at 40.6% annually. Brands are paying for this category at scale. The question for every agency in the room is whether they're delivering the service or selling the story.
Sources: Dimension Market Research GEO Market Report 2026 · Conductor State of AEO/GEO 2026 · Bluefish $43M Series B — Adweek, April 2026 · eMarketer GEO Investment Report 2026