AI visibility tools for agencies: multi-brand tracking compared

Client demand arrived before most agencies had a service to sell. G2's 2026 buyer research found 51 percent of B2B software buyers now start research with an AI chatbot more often than with Google, and Forrester's 2026 Buyers' Journey Survey of 18,000 buyers found 94 percent used AI during their most recent purchase. The consequence clients feel directly: 69 percent of B2B software buyers chose a different vendor than they originally expected because of AI chatbot output. When a client asks why ChatGPT recommends their competitor, they are asking their agency, and a rank-tracking report does not answer the question.

The market has priced this in. Intel Market Research puts the GEO services market at roughly $1.01 billion in 2025, projected to about $1.48 billion in 2026, around 45 percent annual growth, and job listings mentioning generative engine optimization, AI search or LLM visibility grew several hundred percent year over year through 2025 and 2026. For agencies, that growth is margin: the tooling below costs between $25 and $99 per brand per month, and the service built on top of it bills like SEO retainers did a decade ago, before every procurement department knew the market rate.

But agency work puts specific demands on a tool that solo-brand reviews never test: isolated client workspaces, reporting you can put your own logo on, and pricing that survives multiplication by ten. This guide compares the field on exactly those three axes. For single-brand evaluations, the full tools comparison is the better starting point.

Workspaces that actually isolate clients. Multi-brand support means more than a dropdown. Each client needs its own question set, its own competitor list, its own score history, and no risk of one client's data appearing in another's report. Reachroller's Agency plan is built as ten separate workspaces for this reason, and Trakkr Scale likewise structures its plan around ten distinct brands. Tools designed for a single marketing team sometimes fake multi-brand with tags, which works until the day it embarrassingly does not.

Reports a client can receive directly. Agencies live and die by the monthly report, and re-typing a dashboard into a slide deck does not scale past three clients. There are two workable models: white-label reports generated inside the tool, which Reachroller includes at the Agency tier, or clean exports you pipe into your own reporting stack, which is Peec AI's approach with CSV, Looker Studio and API output. Either works. What fails is a tool with neither, because report assembly quietly becomes the most expensive hour of every client month.

Per-brand economics that survive growth. A tool priced for one brand can be a bargain at one client and a margin killer at ten. The comparison that matters is cost per brand at your roster size, which is why the table below computes exactly that. It also compounds in the other direction: a flat plan with headroom means the eleventh pitch costs you nothing to say yes to.

The trap deserves its own section because it hides inside a familiar brand. Semrush's AI Visibility Toolkit is a capable product tracking six surfaces, and many agencies already pay for Semrush, so adding it feels like the path of least resistance. The catch is the pricing unit: $99 per month per domain, with no free trial. One client, fine. A ten-client roster is $990 per month, and every new win adds another $99 line item to your costs before you have billed an hour. Semrush One from $199 per month bundles the suite for a single domain, and the per-domain multiplication still governs the roster.

Run the same roster through the flat plans and the gap is stark: $990 on Semrush's per-domain model against $500 on Trakkr Scale and $249 on Reachroller Agency, which is roughly a fourfold spread for the same client count. Over a year that difference is $8,892 between the extremes, which is a hire's worth of tooling spend on a mid-size roster. None of this makes Semrush a bad product. It makes it a product priced for brands rather than rosters, and agencies should treat any per-domain price as a multiplication problem before treating it as a feature list.

Reachroller Agency, $249 per month. Ten client workspaces, 4,000 credits, white-label reports, and coverage built for ChatGPT, Claude, Gemini, Perplexity and Grok through official APIs, with ChatGPT live today and the rest rolling out. The agency-shaped advantage is the deliverable: for every buying question a client loses, the tool generates a publish-ready fix page with slug, title tag, meta description, schema markup and indexing steps, and a recheck later shows whether the answer flipped. That turns the monthly report from a chart into a changelog: three answers fixed, evidence attached. Credits are metered at one per AI answer and ten per generated fix, so 4,000 credits budget cleanly across ten clients. The honest caveat carries over from our other guides: it is a young product, and engines beyond ChatGPT are still rolling out.

Trakkr Scale, $500 per month.Ten brands, eight models tracked including surfaces API-only tools skip, daily tracking, and an execution layer that drafts changes like comparison pages and FAQ schema and applies them with approval. It is the strongest alternative for agencies whose clients care about maximum surface breadth. At twice Reachroller's price for the same brand count, the question is whether the extra surfaces earn their premium for your specific client base; white-label reporting is not clearly documented, so verify that before migrating a roster.

Peec AI, tiered pricing. The measurement specialist: ChatGPT, Perplexity and Gemini tracked with custom prompts and the cleanest export story in the category, CSV, Looker Studio and an API, backed by more than 2,000 teams and a 4.9 out of 5 G2 rating. For agencies with an existing reporting pipeline, Peec is the best pure data source in this list. Plan for the content work separately, because nothing here writes the fix.

Otterly.AI, from $29 per month. Seven surfaces monitored, a 7-day trial, a 2025 Gartner Cool Vendor badge and more than 30,000 users. Its plans scale by prompts and surfaces rather than by a dedicated agency structure, so multi-client terms need a conversation with the vendor. As a low-cost monitoring layer for a small roster it earns its place; as a full agency platform it needs supplementing on both reporting and execution.

Profound, enterprise contracts.For agencies serving enterprise clients who demand the widest coverage, Profound monitors nine surfaces with conversation volume estimates and agent analytics, priced by demo with reported deployments between $2,000 and $5,000 or more per month. That economics only closes when a single client's retainer absorbs it, so it is a per-client line item rather than an agency platform. The budget end of that trade-off is mapped in our Profound alternatives guide.

Tool choice ultimately reduces to what lands in the client's inbox. A monitoring tool produces a report that says you appear in 9 of 25 tracked answers, down one from last month. That is honest and useful, and after three identical months the client starts asking what they are paying for. An execution-capable tool produces a different document: two fix pages shipped for questions lost last month, one recheck confirmed the ChatGPT answer now names the client, one still pending. Agencies that survive retainer reviews are the ones whose reports contain verbs.

Two reporting disciplines will save you a client relationship sooner or later. First, exclude branded questions from the headline score. A client asking an engine about their own brand name gets mentioned by construction, and a score inflated that way eventually deflates in front of the client. Reachroller does this exclusion automatically, which is one reason its numbers hold up in client meetings; the reasoning is documented on the methodology page. Second, teach the volatility caveat once, early. SparkToro measured under a 1 percent chance that two identical ChatGPT runs return the same brand list, so a client who spot-checks a single answer will sometimes see something your report does not show. Explain up front that scores are frequencies across repeated stored runs, show the raw answers behind any number they question, and the spot-check stops being a crisis. The full measurement discipline is laid out in how to measure AI visibility without lying to yourself.

The sales motion writes itself if you start with an audit. Run a prospect's top twenty buying questions through your tool before the pitch meeting, and open with the result: here is what ChatGPT says when your buyers ask for recommendations, here is which competitor it names, here are the sources it cited. Since 51 percent of B2B tech brands have zero citations across ChatGPT, Perplexity and Gemini, the audit lands hard more often than not, and it costs you a few credits. The manual version of that audit, useful for understanding what the tools automate, is in the step-by-step AI visibility audit.

From there, the retainer structure that works is a monthly cycle: track the question set, ship one to three fixes for the highest-intent lost questions, recheck last month's fixes, report the trend. At Reachroller Agency pricing, roughly $25 per brand per month in tooling supports retainers priced at whatever your market bears, and the white-label report goes out under your logo. The three-day trial covers a full audit on your own agency's brand first, which is worth doing before you sell the service: your agency is also a brand buyers ask AI about, and eating the cooking makes the pitch concrete. Plan details are on the pricing page.