Clients are asking why ChatGPT recommends their competitor. Here is the service menu, the pricing logic, the multi-client tool stack, and the monthly report that keeps the retainer alive.
Agencies sell GEO as a productized retainer: an AI visibility audit, buyer-question research, scheduled tracking across ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews, content fixes for lost questions, and a monthly share-of-voice report. Price it as an audit fee plus a retainer, run multi-client tooling, and set a 2 to 8 week expectation for citation wins.
Demand for GEO services is being pulled by clients, not pushed by agencies. Buyers now ask ChatGPT, Perplexity and Google's AI Overviews the questions they used to type into search, and business owners can see their brand missing from the answers. The numbers behind that anxiety are citable.
Gartner predicted in February 2024 that traditional search engine volume would drop 25% by 2026 as chatbots and virtual agents absorb queries (Gartner, Press Release 2024). Whether the exact figure lands is debatable; the direction is not. OpenAI reported ChatGPT passed 900 million weekly active users in February 2026 (TechCrunch, 2026).
On the Google side, Semrush tracked 10 million keywords through 2025: AI Overviews appeared on 6.49% of queries in January, peaked near 24.61% in July, and settled around 15.69% by November (Semrush, AI Overviews Study 2025). The traffic AI answers do send is worth more: Semrush found AI search visitors 4.4 times more valuable than organic by conversion, and projects AI search to overtake traditional search referrals for marketing topics by early 2028 (Semrush, AI SEO Statistics 2026).
The pitch writes itself: your client's buyers are asking AI assistants, the answers name someone, and nobody is accountable for making that someone your client. That accountability is the service.
A sellable GEO engagement is five concrete deliverables: a one-time AI visibility audit, buyer-question research, recurring tracking setup, content fixes for the questions the client loses, and a monthly report. Each maps to something the client can see, which is what keeps the retainer defensible month after month.
Productize it. The agencies making this work sell the same five deliverables to every client and let tooling absorb the marginal cost. Custom-scoped GEO engagements burn margin on research that a tracker does for cents.
There is no verifiable published benchmark for GEO retainers yet, so price from delivery cost and adjacent SEO data instead of quoting numbers nobody can source. Three models dominate: a one-time audit fee, a monthly retainer, and performance-based pricing. Most agencies run audit plus retainer; performance-only pricing is a trap in GEO.
The closest verifiable pricing data is from SEO, and it is old enough to flag: Ahrefs' survey of 439 SEO providers found $501 to $1,000 per month the most common retainer band (20.4% of respondents), with agency retainers averaging $3,209 per month. That survey dates to 2018 and is the most recent available from Ahrefs (Ahrefs, SEO Statistics). Treat it as a shape reference, not a GEO price list.
The honest math: price the retainer at delivery cost plus margin. Tracking one more client costs a tool seat plus a few dollars of API spend; the real cost is the content fixes. Anchor the retainer on how many fixed pages per month you commit to, since that is the line item clients can count.
An agency stack needs three things a single-brand subscription does not: multiple client workspaces without multiplied cost, per-client question sets and competitor lists, and reporting a client can read. Four tools cover the realistic range in 2026. Prices below were checked on the vendors' sites on August 5, 2026.
| Tool | Multi-client fit | Engines tracked | Published price | Content fixes included |
|---|---|---|---|---|
| GEOHATS | 3 to unlimited sites per license, one dashboard | ChatGPT, Claude, Perplexity, Gemini, Grok, AI Overviews optional | $49 to $249 one-time (lifetime), BYOK API costs | Yes, writes and publishes pages |
| Peec AI | Agency tiers, 3 to unlimited projects, pitch projects | Major engines, add-on models per tier | 245 to 795 EUR per month | No, tracking and analytics |
| Otterly.ai | Unlimited workspaces on Standard | ChatGPT, AI Overviews, Perplexity, Copilot; Claude and Gemini as add-ons | $189 per month (Standard, 100 prompts) | No, monitoring only |
| Profound | Enterprise tier for multi-brand | Up to 9 engines on Enterprise | $99 to $399 per month, Enterprise custom | No, analytics and insights |
Peec AI's agency plans are the most deliberately agency-shaped option: Essential, Growth and Scale ladder from roughly 111 to 722 tracked prompts, 3 to unlimited client projects and 10,000 to 65,000 annual credits, all with unlimited seats plus "pitch projects" for prospecting. The tradeoff: it tracks and analyzes, but content fixes remain your team's manual work. See our full Profound vs Peec AI comparison.
Otterly's Standard plan gives you 100 tracked prompts, unlimited workspaces and team members for $189 per month, with daily tracking, API access and a Looker Studio connector for client reporting. The catch: the base plan tracks ChatGPT, AI Overviews, Perplexity and Copilot, while Claude, Gemini and AI Mode are paid add-ons, and the 100-prompt pool is shared across all clients, so a 10-client roster gets thin fast.
Profound's published tiers are single-brand: Starter at $99 per month tracks ChatGPT only with 50 prompts; Growth at $399 covers three engines and 100 prompts. Multi-brand agency work pushes you to custom-priced Enterprise (up to 9 engines, API, a dedicated strategist). Deep analytics, but the per-client economics only work at enterprise client budgets.
Disclosure: GEOHATS is our product, so weigh this entry accordingly. GEOHATS is the only tool in this table that closes the loop: it tracks buyer questions across ChatGPT, Claude, Perplexity, Gemini and Grok (AI Overviews via an add-on key), finds the questions a client loses, then writes the fix page and publishes it to the client's WordPress site. Licenses are one-time: $49 for 3 sites, $99 for 10, $249 for unlimited sites, and it is BYOK, so you pay AI providers at cost with no token markup.
Run a tracker sized to your roster, and decide whether content fixes are billable human work or pipeline work. Our roundup of the best GEO tools in 2026 compares more options if none of these four fit.
The monthly report should answer one client question: "are more AI answers naming us than last month?" Three metrics do that: mention rate, share of voice against named competitors, and cited-page wins. Everything else is supporting detail. Report per engine, over multiple samples, and date every claim.
Set the 2 to 8 week expectation in the kickoff deck, in writing. New and updated pages typically take 2 to 8 weeks to start appearing in AI citations, because engines depend on recrawl and retrieval freshness. Show a baseline scan, then trend lines, and label any month where the question set or engine list changed, since those deltas are not comparable.
Variance is the silent report-killer. The same question, asked twice, can produce different answers. Sample each question multiple times per engine and report the rate, never a single answer screenshot as proof of anything.
Most failed GEO engagements die from overpromising, not underdelivering. The six recurring mistakes: guaranteeing citations, drawing conclusions from single scans, astroturfing communities, hiding AI costs, skipping the baseline, and reporting screenshots instead of rates. Each one is avoidable with process.
Day to day, GEO for agencies means maintaining tracked buyer-question sets per client, reviewing weekly scan results across ChatGPT, Claude, Perplexity, Gemini and AI Overviews, prioritizing the questions each client loses, shipping content fixes for the highest-value gaps, and assembling the monthly mention-rate and share-of-voice report. The audit and question research happen once per client; tracking, fixing and reporting recur.
There is no verifiable published GEO retainer benchmark yet, so anchor on delivery cost plus margin. The nearest data point is SEO: Ahrefs' 2018 survey (most recent available) found $501 to $1,000 per month the most common retainer band, with agency retainers averaging $3,209. Price on committed content fixes per month, since tooling has made tracking nearly free at the margin.
Plan for 2 to 8 weeks between publishing a fix page and seeing it cited in AI answers, driven by recrawl and retrieval freshness on each engine. Set that window in the kickoff, show a baseline scan first, and report trends over multiple samples so normal answer variance is not mistaken for a win or a loss.
Not today, and we would rather say so here than have you find out mid-pitch. GEOHATS has public share-link reports a client can open without a login, but they carry GEOHATS branding, and there is no agency-branded reporting layer yet. If white-label reporting is a hard requirement, pair the tracking data with your own report template, or use a tool with a Looker Studio connector like Otterly.
Yes, they overlap but neither replaces the other. AI Overviews still appeared on roughly 15.69% of Google queries in late 2025 per Semrush, which means most queries still resolve through classic results, while assistant usage keeps growing. The efficient agency position: one content operation, structured so pages work for both rankings and citations, measured separately.
Start with 20 to 30 questions per client: enough to cover the ICP's real purchase questions and produce a stable mention rate, small enough that scan costs and review time stay sane. Expand toward 50 to 60 once the first content fixes ship and you need coverage of adjacent comparison and alternative questions. Match the total to your tool's prompt limits before you sign the roster.
GEOHATS tracks the questions, finds the gaps, writes the fix pages and publishes them. Lifetime licenses from $49, bring your own AI keys, 3 to unlimited sites.
See lifetime pricingRather hand it off? Our done-for-you service runs the whole loop for you.
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