Every marketing agency is getting the same call from clients this year: "My competitor keeps getting recommended by ChatGPT. Why don't we?"
It's a question most agencies can't answer. And it's why Generative Engine Optimization (GEO) is quietly becoming the highest-margin retainer line agencies can add right now — if they know how to productize it.
This playbook is the one we wish existed when we were figuring this out. It covers the full agency workflow: what to audit, how to price the service, what to deliver, how to report results, and how to defend the work when a client asks what changed.
Three forces are compounding:
Translation: clients are losing traffic they paid you to build, a new channel converts 6x better, and your competitors haven't started selling it yet.
GEO is the practice of getting your client's brand recommended when someone asks an AI assistant a purchase-intent question. Five product surfaces matter:
| Surface | What clients ask | Your optimization target |
|---|---|---|
| ChatGPT | "Best [category] for [use case]" | Cited sources + direct recommendations |
| Claude | "Which [tool] should I pick?" | Reasoning-weighted comparisons |
| Perplexity | "Top [X] in 2026" | Citation count + source authority |
| Gemini | "Recommend a [service] near me" | Google SGE + structured data |
| Google AI Overviews | Broad info queries | Source list at the top of results |
A full GEO service touches all five. Agencies new to the category often pick one (usually ChatGPT) and expand. That's fine for a pilot but undersells the problem — a brand rarely has the same visibility across engines, and clients expect multi-engine reporting.
Every engagement we've seen succeed follows the same five stages. Use this as the backbone of your scope-of-work document.
Scan the client's brand across 4 AI platforms with 25-50 category-intent prompts. The output is a single score per engine plus an aggregate Share of Voice (SOV) score out of 100. This becomes the number you defend for the next 12 months.
Concrete deliverables:
Time cost: 1-2 hours with the right tool; 4-8 hours manually.
The 80/20 of AI visibility is technical hygiene the client's dev team can ship in a day:
If you're selling this as a service, define who owns what: agency writes the schema JSON, client's dev team deploys. Build a PR template the client can approve in 5 minutes.
Technical fixes move SOV 5-15 points. Content moves it another 20-40. This is where the retainer earns its keep.
For every query in the gap list, the target is either (a) a comparison article the client's site owns, (b) a Reddit / forum mention seeded through community outreach, or (c) a Wikipedia-style authority page on a third-party site. Think of it as "which URLs do we need to exist so AI has something to cite?"
A 12-week content plan typically looks like:
| Weeks | Focus | Assets |
|---|---|---|
| 1-2 | Technical foundation | Schema, llms.txt, robots — ship once |
| 3-4 | Gap content v1 | 3-5 comparison articles targeting highest-frequency gap queries |
| 5-6 | Authority signals | Directory listings, Wikipedia edits, category pages |
| 7-8 | Reddit + community | Honest participation in 3-5 category subreddits |
| 9-10 | Review quality | Fresh reviews on Google, Yelp, category-specific platforms |
| 11-12 | Measurement + refine | Re-scan, report deltas, adjust |
Re-run the same 25-50 prompt suite monthly. Track:
A tight monthly report is a screenshot with: (a) SOV trend line, (b) engine grid with deltas, (c) top 3 wins, (d) top 3 risks, (e) next month's focus. Three slides, not thirty.
This is where most agencies lose renewals. GEO's measurement loop is fuzzier than paid ads — an AI recommendation doesn't fire a pixel. But you can triangulate:
Don't promise exact attribution — nobody has it yet. Promise direction: did the client's AI visibility go up, and did inbound signals follow?
Based on agencies we work with directly, here's how 2026 pricing breaks down:
| Package | Monthly | What's included | Client fit |
|---|---|---|---|
| Starter GEO | $1,500 | 25 monitored prompts, monthly report, technical fixes included Q1 | SMB, one brand, one language |
| Growth GEO | $3,500 | 100 prompts, bi-weekly reporting, quarterly content sprint, Reddit/community management | Mid-market, multi-product |
| Enterprise GEO | $7,500+ | 200+ prompts, weekly monitoring, dedicated content ops, multi-brand, multi-language | B2B SaaS, e-commerce 10M+ ARR, multi-market |
| One-Time Audit | $3,500-$12,000 | Deep baseline + 90-day action plan, no ongoing monitoring | Clients testing the waters before a retainer |
The tooling underneath these packages costs the agency $79-$399/month per client (a platform like Teehoo Martech or similar). So a Starter GEO at $1,500 has roughly $80 in tool cost, $500 in agency labor — a gross margin in the 60-70% range.
Month 1 of a typical engagement:
If you're going to stand up GEO as a real revenue line, you need white-label. Specifically:
Teehoo Martech's white-label unlocks at the Growth tier ($399/month) and scales per seat from there — designed specifically for agency operations.
No. Only 12% of URLs AI cites overlap with Google's top 10 results. A site can be #1 on Google for its target keyword and completely invisible to ChatGPT. Different ranking signals entirely.
Score-based reporting. The SOV number is defensible the way Google rankings are defensible — you can show it went from 18 to 42 over a quarter, with screenshots of the prompts and the cited sources. Point to the gap list that closed.
The engines change weekly. The ranking factors don't. Schema, content authority, cross-platform citations, review quality — these have been the signals since AI search started and will be the signals for the foreseeable future. You're optimizing for the layer under the model, not the model itself.
If you want to test GEO as a service line without rebuilding your agency, here's the smallest version that still earns:
Total time to first dollar: 2-3 weeks. Total investment: a $79-$399 tool subscription and 10 hours of your agency's time.
2 minutes, no signup. See the same audit your future retainer will deliver.
Scan a Brand or See agency pricingRelated reading
· How to Rank in ChatGPT: 12 Ranking Factors That Matter
· AI Share of Voice Tracking: A Complete Guide
· The AEO Audit Checklist: 14 Points
· Why AEO Matters More Than SEO in 2026
About Teehoo Martech
AI visibility platform built for agencies. Track and improve how ChatGPT, Claude, Perplexity, and Gemini recommend your clients. White-label reporting, client portals, multi-brand rollups. Learn more.