Key takeaways
- The reporting layer is a commodity. Clients can buy a dashboard directly for around $99 a month, so an enterprise agency has to sell the work behind it: content, publisher outreach, technical fixes and measurement.
- At WPP-scale, the buying criteria change. You need isolated client workspaces, pitch projects that don't eat paid slots, a per-client cost you can mark up, security paperwork that clears procurement, and APIs to feed your own reporting stack.
- Platforms split into three camps: monitoring-only trackers, enterprise suites with partner programs, and platforms that also execute (write, publish, measure).
- Per-client pricing is rarely published. Model platform cost per client brand before you set a retainer, because that is where margin disappears.
- Report each AI engine separately. Citation behaviour differs sharply by engine, and a blended score hides what is happening.
Why agencies are reselling AI visibility in 2026
Every agency has the same email in its inbox: "Are we showing up in ChatGPT?" Most answer it by bolting AI visibility onto an SEO retainer as a line item. The tool cost goes up, the fee stays flat, and the margin vanishes.
For a holding-company roster, that problem multiplies. You might have 80 client brands across 30 markets, three or four business units per brand, and procurement teams who want ISO or SOC reports before they let you near their data. A tool built for one marketing team with one workspace does not survive that.
One thing worth being honest about: most vendor comparison articles on this topic are written by vendors who rank themselves first. The Brandlight, 3RD and Ranketta guides I read for this piece are all useful, and all biased in the obvious direction. I use their published facts here and flag where a figure came from a vendor's own page.
What an enterprise agency actually needs
A brand buys one workspace for one company. An agency buys a delivery model. These are the criteria that separate platforms once you scale past a few dozen clients.
Workspace isolation and access
Client A's competitive set must never leak into client B's dashboard. You also want access set per brand, so a client's marketing director sees their data and nothing else. Profound's Agency Mode, for example, gives every client an isolated workspace. Promptwatch agency plans ship with unlimited projects and unlimited team seats, which matters when your delivery team is large and rotating.
Pitching without burning slots
The pitch is where AI visibility usually gets sold. If every prospect scan consumes a paid client slot, your new-business team stops pitching. Look for free or separate pitch projects. Peec AI includes unlimited free pitch projects, 3RD offers five-day demo brands, and Promptwatch agency plans include pitch projects that can also be created through the API and MCP.
Per-client economics
Pricing bases vary wildly: per domain, per workspace, per prompt, per seat, per credit. The same roster can cost three times as much on one basis as another. Semrush's AI Visibility Toolkit, for instance, starts at $99 a month per domain, which scales against you quickly as the roster grows. Profound's Agency Growth plan runs $399 a month per client workspace, which is easy to model but adds up across a big roster.
Security and procurement
Enterprise clients ask for certifications. Brandlight cites SOC 2 Type II. Promptwatch is ISO/IEC 27001 certified and GDPR compliant, with data handled by an EU-based company. 3RD says it has no SOC 2 report yet, which it admits some enterprise clients will ask about. Check this before you build a client-facing promise on a vendor.
Reporting in your brand
Most vendors white-label reports, not the whole app. Per the 3RD guide, none of the vendors it reviewed publishes a fully white-labeled application. Expect branded PDFs and Looker Studio dashboards, and ask any vendor directly whether a client portal exists at your tier.
Doing the work
This is the deciding factor at scale. A recommendation list needs a human to turn it into a brief, draft, publish and measure. A platform that drafts and publishes lets one specialist carry more clients, which is the entire margin argument.
The platform options compared
The table mixes vendor-published facts and my reading of them. Prices were pulled from the supplied sources and vendor pages, and several are not verified independently, so confirm before quoting a client.
| Platform | Agency setup | Published agency pricing | Executes work? | Best for |
|---|---|---|---|---|
| Promptwatch | Unlimited projects, pitch projects, unlimited seats | Kick-off $199, Growth $399, Scale $799 per month | Monitoring plus actions; content agent on Business and Enterprise | Rosters that need cost certainty plus crawler logs and traffic data |
| Profound | Agency Mode, isolated client and pitch workspaces | Agency Growth $399/mo per client workspace | Agents draft and publish to CMS | Technical delivery teams, enterprise procurement |
| Peec AI | Projects per client, unlimited seats, free pitch projects | From about $205/mo | Monitoring with recommendations | 10 to 50 mid-market client brands |
| Brandlight | Enterprise multi-brand roll-up, partner team | Paid pilot, then annual | Partner-delivered scope of work | Enterprise clients wanting an execution partner |
| Otterly | Pitch workspaces, agency partner status | Standard $189, Premium $489 | Recommendations, URL audits | Small agencies, cheap coverage |
| Semrush AI Visibility Toolkit | Per domain inside Semrush | $99/mo per domain | AI search audit | Agencies already on Semrush |
| Rankscale | Multi-brand, role-based teams, white-label reporting | Not stated in sources | Reporting and site analysis | Enterprise brand portfolios |
| 3RD | Client accounts, brand licenses, demo brands | Partner pricing, not published | Agent drafts you approve | Content-led agencies, multi-market clients |
The three camps
Monitoring-only trackers
These answer "was my client mentioned?" and stop. Peec AI, Otterly and a long list of cheaper tools sit here. They are useful for the long tail of accounts nobody has asked about yet, and they are cheap. The problem is that your client can buy the same dashboard directly, so you are selling something with no moat.
If you want to explore this end of the market, the directories at ai-rank-tools.com list dozens of trackers.
Enterprise suites with partner programs
Profound, Brandlight and Rankscale target large brands and agencies serving them. Profound's differentiator is Prompt Volumes, data on what users actually ask AI engines. Brandlight pairs software with a strategist, analyst and customer success lead and a train-the-trainer model. Rankscale lists 17+ engines in a single plan with no per-engine surcharges, which procurement tends to like.
The tradeoff is access and price. Several of these are quote-only, and Brandlight says plainly that an SMB or mid-market roster will not make the per-client math work.
Platforms that execute
The third camp closes the loop: find the gap, write the page, publish it, check whether AI crawled and cited it. This is where Promptwatch sits. Its agency plans cover unlimited projects, pitch projects and seats with Agent Chat, Brand Narrative, crawler logs, visitor analytics, site audits and white-label PDF reporting.
Two caveats I would raise with a procurement team. First, agency plans do not include the Content Agent, the Knowledge Base or ChatGPT Shopping. Agencies that need generated content, a white-label dashboard and client portal, or SSO go to Enterprise. Second, you should check the current plan limits at promptwatch.com/pricing before modelling margin.
How the economics work
Here is a rough model. Say you run 40 client brands.
| Pricing basis | Example | What happens at 40 clients |
|---|---|---|
| Per domain | Semrush toolkit at $99/mo | About $3,960/mo before you add prompts |
| Per client workspace | Profound Agency Growth at $399/mo | About $15,960/mo |
| Flat agency tier, unlimited projects | Promptwatch Growth at $399/mo or Scale at $799/mo | Fixed, but capped by responses, not clients |
| Seats and project credits | OpenLens, Peec AI | Cheap, but check per-model fees |
The flat-tier model looks cheap, and it is, until you hit the response cap. Promptwatch Growth includes 25,000 responses a month and Scale 65,000, so a big roster needs to budget prompts per client. The honest advice: compute responses per client per month for your actual roster, then compare the cost per response across vendors. That is the number that matters, not the headline plan price.
Add delivery hours and reporting hours on top. If a platform cuts monthly report prep from four hours to one across 40 clients, that is 120 hours a month back, which outweighs most tooling price differences.
Pitching with AI visibility
Several agencies have built an entire AI practice on a single pitch slide. A few rules from the sources and my own experience:
- Show the gap, not the score. "Your competitor is named in this answer and you are not" survives noise. "You are at 23%" does not.
- Show at least two engines. The 3RD team reports that for 37 of the 60 brands it tracks, a different competitor led on different assistants for the same questions.
- Date-stamp everything. Small prompt sets swing a lot, so promise nothing until you have a baseline.
A free scan helps the first conversation. Promptwatch publishes a free AI visibility report that needs no login, which is handy for a cold prospect.
Reporting engine by engine
The worst habit in client reporting is blending every engine into one number. Promptwatch Data shows why. In its average sources per response report, ChatGPT cites about 5 sources per web-search answer, while Google AI Overviews and Perplexity cite roughly 10. A single blended score hides that those citation slots are not comparable.
Social sources show the same split. In Promptwatch's social media citation data for Sep 28 to Oct 4, 2026, social platforms made up 0.46% of ChatGPT citations but 12.2% of Google AI Overviews citations. Reddit's share of ChatGPT citations also fell from about 4% to 0.5% on August 14, 2026, per Promptwatch's Reddit report. A Reddit-first playbook sold in early 2026 is stale for ChatGPT today.
Practical consequences for your reporting template:
- One section per engine, each with its own date range.
- Citation share and sentiment separate from mention rate.
- Crawler and traffic data next to visibility, so the client can see whether anything actually arrived on their site.
The last point is where most trackers fall short. IP-verified crawler logs and AI-referred visitor analytics (both on Promptwatch agency plans) let you show a client that a page was read by GPTBot and then cited, which is much more convincing than a score that moved.
Delivering the work across a big roster
The sources agree on one point: the money is in execution, not dashboards. The Brandlight piece argues that most citations behind an AI answer sit on pages neither agency nor client owns, so reaching them is a retainer, not a subscription. That is a vendor view, but it matches what I see.
A workable delivery model for a large roster:
- One owner per client cluster who routes work to content, PR and technical.
- A prioritized action list per client, not a raw dashboard. Promptwatch's Action Board and Agent Chat cover this; 3RD and Brandlight have their own versions.
- Weekly site audits to catch crawl blockers early.
- A content workflow with human review before anything publishes.
For teams comparing approaches to agency delivery, Promptwatch's guide to GEO for agencies is a decent operational reference, and the agency solutions page lists plan details. Monks, whose clients include Netflix and BMW, uses Promptwatch's Answer Gap Report and Visibility Score to build content roadmaps, per its case study.
Which platform for which agency
| Your situation | Start with |
|---|---|
| Holding-company scale, many markets, need cost certainty, crawler and traffic data | Promptwatch Scale or Enterprise |
| Specialist in-house team, enterprise clients, comfortable self-configuring | Profound |
| Enterprise clients that want a strategist-led partner | Brandlight |
| 10 to 50 mid-market brands, analytics-first | Peec AI |
| Small agency, cheap coverage on many accounts | Otterly or OpenLens |
| SEO shop already deep in Semrush | Semrush AI Visibility Toolkit |
| Global brand portfolios needing one contract and many engines | Rankscale |
If none of those fit, the GEO software directory at bestgeosoftware.com covers the wider field.
Questions to ask every vendor
- Is data isolated between client workspaces, and how is access scoped per brand?
- Do pitch projects consume paid slots?
- What is the price per client brand at 10, 40 and 100 clients?
- Which engines are tracked from the real interface, and which come from APIs? Real UI answers can differ from API output.
- Can you export via API or MCP into your own reporting stack?
- What security certifications can you hand to client procurement?
- What does white-label actually cover: PDFs, dashboards, or the whole app?
- What does the platform do with a finding, and who does the work?
A vendor who cannot answer these quickly is probably not built for a roster your size.
What I would do
Pick two platforms, run them on five real clients for 30 days, and compare cost per response, report prep time and how many findings turned into shipped work. Pricing pages tell you much less than that test does. For the enterprise end of the roster, make the security paperwork the first filter, since it eliminates options faster than any feature comparison.
If you want a quick starting point on your own client, Promptwatch has a 7-day free trial on monthly plans and a book a demo option for agencies sizing a roster.
