What a GEO engagement actually costs
A transparent breakdown of GEO pricing: what drives cost, what a sprint should include, and how to tell a real program from a content retainer with new vocabulary.
Agency pricing is usually opaque for a reason. This is our attempt at the opposite: what a GEO engagement costs, what drives the number, and what should be inside the scope before you sign anything.
The range
Across the market, GEO work sits in three bands:
| Engagement | Typical price | What it covers |
|---|---|---|
| Diagnostic / scan | $0 – $5,000 | Baseline panel, technical audit, prioritized roadmap |
| Sprint (4–8 weeks) | $8,000 – $15,000 | Panel, entity fixes, 4–10 page builds, baseline/endline |
| Program (ongoing) | $5,000 – $15,000 / month | Continuous content, citation earning, weekly measurement |
Below $3,000 per month, you are usually buying content production with a GEO label. Above $20,000, you are paying for category dominance, multi-market coverage or heavy original research.
What drives the cost
1. Prompt panel size and engine coverage
A 50-prompt panel on three engines is a different product from a 300-prompt panel across twelve engines with weekly sampling and competitor tracking. The measurement layer is often 30–40% of the work.
2. Technical debt
If your site is server-rendered, crawlable and semantically structured, technical work is a few days. If it is a JavaScript-heavy SPA with blocked crawlers and no schema, it can be a month.
3. Content volume
A sprint with four page builds is a different commitment from a program producing eight to twelve assets per month. Original data and research command a premium because they are the strongest citation magnet.
4. Citation earning
Digital PR, directory hygiene and analyst relationships are labor-intensive. They are also the lever most likely to produce durable share-of-answer, so cutting them to hit a price point usually means buying a nicer dashboard instead of results.
What should always be included
- A fixed prompt panel with raw answer logs you own.
- Entity and fact-sheet work, not just content.
- Crawler and technical access review.
- Schema implementation, not just recommendations.
- A reporting format with share-of-answer and citation velocity.
- An honest statement of what cannot be guaranteed.
Red flags
- “Guaranteed ChatGPT citations.” Impossible.
- No baseline. If they cannot show you where you start, the results are unfalsifiable.
- Engagement reports that only show content shipped. Output is not outcome.
- No access to raw data. You should own the panel and the answers.
- Optimizing one engine only. The category is multi-engine now.
A sensible way to start
Buy a diagnostic before you buy a program. A good one costs little, takes two to four weeks, and tells you whether the gap is technical, editorial, or a citation problem.
If an agency cannot make a diagnostic useful, a twelve-month retainer will not be either.