Agency Playbook
GEO for Marketing Agencies: The Practical Playbook
Generative Engine Optimization is the cleanest new service line an agency has had in a decade. Here is how to scope it, price it, and prove it works.
Clark Tota
Editor & Founder
Published May 4, 2026 · Updated May 18, 2026 · 11 min read
Generative Engine Optimization (GEO) is the practice of getting a brand cited inside the answers that large language models generate — ChatGPT, Perplexity, Google AI Overviews, Claude. For a marketing agency it is the cleanest new service line in a decade: clients already understand 'we want to show up in Google', and GEO is a direct, legible extension of that demand into the surfaces where attention is actually moving.
Why GEO is an agency service, not a tool purchase
Clients cannot buy GEO from a dashboard. It is a research-and-content discipline: you have to identify the questions an AI engine answers in the client's category, audit which sources it currently cites, and then close the gap. That work is recurring, measurable, and hard to commoditize — which is exactly the profile of a healthy retainer.
How to scope a GEO engagement
A scoped GEO engagement has three phases. Treat them as the structure of your proposal.
- Visibility audit — run a fixed set of category prompts across ChatGPT, Perplexity and Google AI Overviews, log every cited source, and record where the client appears (or does not).
- Gap closing — produce answer-first content, fix entity consistency, and pursue the off-page mentions that the cited sources have and the client lacks.
- Monitoring — re-run the same prompt set on a schedule and report citation share over time.
How to price it
Price the audit as a fixed-fee project so the client sees value before committing to retainer. Price the gap-closing and monitoring as a monthly retainer scaled to the number of priority queries you maintain. Avoid pricing it as a course or a one-time 'GEO setup' — the recency effect in answer engines means yesterday's optimization decays, and a retainer is the honest representation of that reality.
Before
0 of 12 priority prompts cited the client. Perplexity built its answers from two competitors and an industry directory.
After
5 of 12 prompts cited the client after answer-first rewrites of three service pages and two new comparison articles.
Takeaway
Most of the movement came from comparison-format content and from getting the client listed in the directory the engine already trusted — not from net-new blog volume.
What to deliver every month
- A citation-share report: how many priority prompts cite the client, versus last month.
- Screenshots of two or three answers that changed, before and after.
- A short note on what moved and what the next month targets.
If you can show a client an AI answer that did not mention them in January and does mention them in March, you have something no SEO dashboard screenshot has ever matched: a direct, visceral proof of the work. That is the whole business case for GEO as an agency line.
The Editor
Clark Tota
Clark Tota runs Answer Engine Weekly and a GEO/AEO consulting practice. He spends his weeks running prompt experiments against ChatGPT, Perplexity, Google AI Overviews and Claude — measuring which sources get cited and why — then writing up what actually moved the needle.
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