GEO Comparisons
GEO delivery models, compared:
agency retainer, tracking tool, or productized audit.
Before you pick a vendor, you're really picking a model. An agency retainer hands the work to a team on an ongoing contract. A tracking tool gives you a dashboard and leaves execution to you. A productized audit delivers a fixed-scope diagnosis and a 30-day action plan. Here's what each includes, who does the work, and which fits your team.
Comparisons · Last updated
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GEO investment is a model choice before it's a vendor choice. The three models, agency retainer, self-serve tracking tool, and productized audit, differ in who does the execution, what you get, and what you commit to. Resonate Labs is the productized-audit example: a fixed-scope diagnosis and a 30-day action plan, measured across ChatGPT, Claude, Gemini, and Perplexity.
The three models
Agency retainer (they run it), tracking tool (you run it from a dashboard), and productized audit (a fixed diagnosis and a 30-day plan).
The honest question
Before "which vendor," decide who executes the work, how much internal time you have, and what you're willing to commit to.
Where Resonate fits
The productized-audit example: a fixed-scope audit across four engines and a 30-day action plan, with execution available, at public pricing.
The three GEO delivery models
Most GEO buying decisions come down to one of three models. They aren't competing products so much as different answers to a single question: who does the work, and what do you actually get?
The agency retainer. An agency runs your GEO on an ongoing contract, with its team executing the work month over month. You get a managed partner and full execution, typically at a higher floor and with a multi-month commitment. Named examples in B2B include Omniscient Digital, First Page Sage, and Graphite. It's the right shape when you want the work fully outsourced and run continuously.
The self-serve tracking tool. A SaaS product measures your visibility in AI answers, how often you're mentioned, where you're cited, how you compare, and reports it on a dashboard. You get continuous data; execution is left to your team. Named examples include Profound, Peec AI, Scrunch (now part of Sitecore), and Evertune. It suits teams that already have in-house capacity to act and mainly need the measurement.
The productized audit. A fixed-scope engagement delivers a diagnosis of where AI answers leave you out and a prioritized 30-day action plan, with the fixes shipped as part of it, and without a long retainer. You get a clear, bounded deliverable you can act on. Resonate Labs is the example here: the audit runs against actual output from ChatGPT, Claude, Gemini, and Perplexity, and the engagement opens with a Foundation Review so you see where you stand before committing to ongoing work.
How to choose: which model fits your team
The decision comes down to a few honest questions about how your team works, not about which vendor sounds best.
1. Who executes the work? If you want the content, structure, and technical fixes done for you, you need a model that includes execution, an agency retainer or a productized audit that includes execution. A tracking tool reports where you stand but changes nothing on its own. Buying a dashboard when no one has time to act on it produces data, not results.
2. How much internal time do you have? A tracking tool assumes your team will interpret the data and ship the changes. A small team often finds the dashboard surfaces gaps faster than it can close them. If internal bandwidth is thin, a model that hands you a prioritized plan, or ships the work, will move faster than one that hands you more data.
3. What are you ready to commit to? Agency retainers usually carry a multi-month minimum and a higher monthly floor. A productized audit is fixed-scope: you get the diagnosis and the plan without signing up for an open-ended engagement first. If you want to validate AI visibility before committing to ongoing spend, the bounded option lowers the risk.
4. Is the visibility data measured against actual model output? Whichever model you choose, ask how the numbers are produced: whether they're measured directly against ChatGPT, Claude, Gemini, and Perplexity output, on a recurring basis, or estimated. You should be able to reproduce a claimed result yourself. This matters as much for a tool's dashboard as for an agency's report.
None of these questions favors one model in every case. They tell you which model matches how your team actually operates, so you can choose deliberately.
The three models, compared
The table compares the models on structural facts, what you get and what you commit to, rather than self-reported performance numbers, which vary by vendor and are rarely independently audited. Cost ranges are indicative and current as of June 2026; confirm any specific vendor's figures directly.
| Agency retainer | Tracking tool | Productized audit | |
|---|---|---|---|
| Who does the execution | The agency's team | You and your team | You ship the plan, or the provider ships the fixes |
| Primary deliverable | Ongoing content & execution | A monitoring dashboard | A diagnosis + prioritized 30-day action plan |
| AI platforms covered | Varies by agency | Varies by tool | ChatGPT, Claude, Gemini, Perplexity |
| Typical cost | ≈$2,000–$15,000/mo | ≈$95–$500/mo (enterprise higher) | AI Visibility Crawl $850; credits for repeats |
| Time to first deliverable | Weeks (onboarding) | Immediate (dashboard) | ~30 days (Foundation Review first) |
| Minimum commitment | Often 3–6 months | Monthly SaaS | Fixed scope, no retainer required |
| Internal time required | Low — the agency executes | High — you execute | Low–medium — ship the plan, or have it shipped |
| Best for | Teams wanting fully outsourced, ongoing execution | Teams with in-house capacity who need measurement | Teams wanting a clear plan without a long retainer |
Scroll the table sideways on a narrow screen.
Where each fits
The right model depends on who runs the work and what you're ready to commit to, not on which pitch sounds safest.
Where an agency retainer fits: teams that want execution fully outsourced and run continuously, have the budget for a higher monthly floor and a multi-month commitment, and want a partner managing the work month over month. Named examples include Omniscient Digital, First Page Sage, and Graphite. The model's real advantage is depth and continuity when GEO is an ongoing motion you'd rather not staff in-house.
Where a tracking tool fits: teams with in-house GEO capacity who need data rather than execution, a dashboard to monitor mentions, citations, and competitive position they'll act on themselves. Named examples include Profound, Peec AI, Scrunch (now part of Sitecore), and Evertune. The model's real advantage is continuous, low-cost measurement for a team that already knows how to act on it.
Choose the productized-audit model when you want a clear, fixed-scope diagnosis and a prioritized 30-day action plan without committing to a long retainer, and you can either ship the plan yourself or have it executed for you. Resonate Labs is the productized-audit example: the audit runs against actual output from ChatGPT, Claude, Gemini, and Perplexity, the engagement opens with a Foundation Review so you see where you stand first, and pricing is public.
Where Resonate Labs fits
Resonate Labs is the productized-audit model in practice. It's a tech-enabled GEO service: an agency that runs on its own proprietary tooling rather than manual work alone, so the same engagement that runs the work also measures it, with no separate dashboard to buy. The monthly AI visibility audit across ChatGPT, Claude, Gemini, and Perplexity sits at the center, measured against the engines' actual output.
A single Visibility Crawl is $850 and delivers the whole thing: Resonate builds the knowledge graph and query set, runs the visibility report, hands you a 30-day action plan, and ships the fixes, with a private Slack channel included. It's self-serve, with no call required. Repeat crawls come as prepaid credits: a 3-pack at $2,295 or a 6-pack at $4,080. For ongoing or custom execution, book a call. Pricing is public, laid out on the pricing page.
For the full vendor landscape, including the specific agencies and the tools that only measure, see GEO agencies and tools, compared.
Frequently asked questions
What's the difference between a GEO agency retainer and a productized GEO audit?
A retainer is an ongoing engagement where an agency runs your GEO month over month, usually on a multi-month contract, with their team executing the work. A productized audit is a fixed-scope engagement: a one-time diagnosis of where AI answers leave you out and a prioritized 30-day action plan, with no requirement to commit to a long retainer. You can ship the plan yourself or have it executed for you. Resonate Labs is the productized-audit example; its audit runs against actual output from ChatGPT, Claude, Gemini, and Perplexity, and the engagement opens with a Foundation Review so you see where you stand first.
Which GEO delivery model is right for a small B2B marketing team?
It depends on internal capacity and how much you want to commit. A small team with no one to act on the data tends to struggle with a tracking tool alone, because a dashboard surfaces gaps faster than a lean team can close them. A full agency retainer gives you execution but carries a higher floor and a multi-month commitment. A productized audit is often the fit for small teams: a clear, prioritized 30-day plan you can execute yourself or have shipped, without a long contract to sign first.
Do GEO tracking tools include any execution?
Generally no. Self-serve tracking tools, for example Profound, Peec AI, Scrunch (now part of Sitecore), and Evertune, measure your visibility in AI answers and report it on a dashboard. They don't write content, fix structure, or ship changes; that work is left to your team. A tool tells you where you stand; closing the gap is separate. If you don't have in-house capacity to act on the data, a model that includes execution will usually serve you better.
What does a 30-day GEO action plan actually include?
In a Resonate Labs engagement, the 30-day action plan is the output of the audit: a prioritized list of changes, sequenced by impact, across foundation fixes, optimizing existing pages, and net-new content. It's built from the buyer-intent queries your audience actually uses across ChatGPT, Claude, Gemini, and Perplexity, and it's a document your team can execute, or Resonate can ship for you. The engagement opens with a Foundation Review so you see where you stand before any work begins.
Next step
See which model fits, on your own data.
Start with a free AI Visibility Snapshot for a no-commitment read on where you stand. The full Visibility Crawl shows where you stand so you can decide what kind of help you actually need, scored across every engine:
- Which queries your buyers actually ask AI
- Where you're visible, cited, or absent today
- What the first 30 days would move