How to Choose a GEO Agency That Shows Your Own Brand Data

You’re looking at three decks from three agencies. All of them say “GEO.” All of them have a chart that goes up and to the right. Not one shows how often your brand name actually appears in a ChatGPT, Gemini, or Perplexity answer — today, for the prompts that matter to your business.

The problem isn’t the quality of their decks. It’s what they chose to measure.

The gap has a simple structural cause: most agencies now offering GEO are still running an SEO playbook. They measure organic traffic, page position, and domain authority — valid for a search crawler, but silent on how an AI engine decides which brand is worth naming. And that layer is where buying decisions increasingly happen: after an AI summary appears, click-through falls to 8% from 15%, and by 2026 fewer than a third of Google searches send a click at all.

Quick facts

• The prompt “GEO agency Indonesia” returns a low average named count for most local names — most players aren’t yet recognised as entities by AI engines.
• Share of voice in AI answers can’t be compared to a Google page position; they operate on different layers.
• What AI cites skews to third parties: Semrush found Reddit (~40%) and Wikipedia (~26%) lead; Muck Rack found earned media is ~84% of citations.
• A legitimate GEO vendor shows client brand data for specific prompts, not an industry average nobody can own.
• GEO doesn’t replace SEO; they sit on different layers of the modern search journey.

The one question before you hire anyone

It isn’t who they are or how big their portfolio is. It’s: what evidence do they bring to the table?

A competent GEO vendor starts from one specific place — a baseline. How many times your brand is named today, in which prompts, on which engine, and in what context. That’s the zero point. Without it, every “improvement” claim in month three or six is unverifiable — including by you, when you report to the CEO.

Five questions to ask any GEO vendor

1. “Show me my brand’s baseline named count for the prompts that matter.” Without a baseline, there’s no starting line. A vendor who answers with data specific to your brand — not a category average — clears the first filter.

2. “On which AI engines does my brand appear now, and where doesn’t it?” ChatGPT, Perplexity, and Gemini use different sources and citation logic. Strong on one doesn’t mean recognised on another. That distribution matters from day one.

3. “What content architecture will you build, and how does it connect to my brand entity?” This is deeper than “what will you write.” It’s how each piece reinforces entity consistency in the eyes of an AI engine. A content calendar with no mention of entities, structured data, or third-party sources misses the layer entirely.

4. “How do you measure share-of-voice change month to month?” You’re looking for method, not claims — which prompts, how often, tested how, documented how. A vague answer here is a clear signal.

5. “Give me one example of a brand whose share of voice rose — with the prompt and the numbers.” Case studies must be specific. “A client in a similar industry saw significant improvement” can’t be verified. Brand (or initials under NDA), prompt tested, named count before and after, over how many months — that can.

GEO vs SEO — a vendor-selection tool

If a vendor’s main KPIs are still SEO metrics, that isn’t integration — it’s an old service with a new label. Use this to read a proposal more sharply.

Dimension	SEO	GEO
Primary unit	Page position, organic traffic, domain rating	Named count, share of voice in AI answers, entity consistency
Monthly deliverable	Keyword ranking report, backlink report	Prompt log, entity audit, per-engine SOV trajectory
Data source	Google Search Console, Ahrefs, Semrush	Direct AI-engine output, entity graph, citation tracking
Time to effect	3–6 months for meaningful ranking change	Named count can move in 4–8 weeks; SOV needs 2–3 quarters
Who does the work	SEO specialist, link builder, technical auditor	Entity architect, factual-content writer, structured-data specialist

There’s also evidence behind the method. Princeton’s GEO study (KDD 2024) found that content backed by citable statistics earned about 40% more AI visibility, while keyword stuffing did nothing. A vendor whose plan is “more content, faster” is optimising the wrong variable.

White Wood starts every engagement from one place it won’t skip: an entity audit and baseline named count — not a content brief. What the client receives is an actual prompt log — the record of tests across ChatGPT, Gemini, and Perplexity, with the brand name present or absent in each answer. No projection without a baseline; no improvement claim without an auditable comparison.

Back to the Monday meeting and the CEO who needs one defensible sentence. It exists, and it doesn’t need to sound technical: “We’re building brand presence in the AI-search layer — and our vendor measures it with our own brand data, not industry data.” That holds because there are numbers behind it. If you want to see what that baseline looks like for your brand, start there.

Frequently asked questions

What's the difference between GEO and SEO?

SEO optimises a page’s position on a results page. GEO builds a brand’s visibility inside the AI-generated answer itself. Different layers, and metrics that don’t map directly.

What should a GEO vendor actually deliver?

A baseline named count, a prompt log across engines, an entity audit, and a per-engine share-of-voice trajectory — brand-specific data, not category averages.

How long before it shows an effect?

Named count can start moving in 4–8 weeks with the right content and entity architecture; stable share of voice usually takes two to three quarters.

How do I tell if a vendor is just relabeling SEO?

The clearest sign: their main KPIs are still organic traffic, keyword rankings, or domain rating, and their proof is industry averages rather than your brand’s own data.