Best AI Visibility Tools for Agencies Managing Multiple Clients
· 7 min read · By Perciva Team
For agencies, Trakkr is the strongest all-round pick — white-label reporting, every tracked model included on every plan, and 10 brands with unlimited seats on its Scale tier. Peec AI is the close second thanks to unlimited seats and daily refresh, Gauge makes sense if you resell content production, and ZipTie.dev is the cheapest way to cover three clients properly. Rankscale, Semrush, Profound and Perciva each fit narrower agency situations.
Agency requirements barely overlap with in-house ones. You need brand slots rather than prompts, seats for a rotating team, reports a client will accept with your logo on them, and predictable per-client margin. A tool that is excellent for one company can be economically impossible across twelve. This list is ordered by multi-client fit, not by analytical depth.
How we picked
Perciva is our product and ranks low here because it is not built for white-label client reporting — we say so plainly rather than stretching the fit. Agency-specific criteria:
- Brands per plan and the cost of adding one more.
- Seat policy: per-seat pricing is where agency economics break.
- White-label and branded exports.
- Reporting cadence that matches your client reporting cycle.
- Per-client margin at a realistic retainer.
1. Trakkr — best all-round agency pick
Verdict: the only tool on this list where white-label reporting, full model coverage and multi-brand plans line up without add-ons.
Trakkr includes all eight tracked AI models — ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Grok, DeepSeek and Meta AI — on every plan, so you never explain to a client why their engine is not covered. White-label reports come built in. The Scale tier covers 10 brands with unlimited seats.
Best for: agencies running AI visibility as a productized service. Pricing: Growth from about £79/mo (roughly $100) for 1 brand, 50 prompts and 3 seats; Scale £395/mo for 10 brands with unlimited seats; Enterprise custom. 14-day free trial.
Pros:
- White-label client reporting
- All models on every plan — no per-engine upsells
- Scale tier works out to a low per-brand cost
Cons:
- Entry tier is a single brand with a 50-prompt cap
- Bundled AI article generation you may not resell
- Multi-brand work means jumping to the £395/mo tier
2. Peec AI — best for teams with many hands
Verdict: unlimited seats and daily data make it the operational favourite for agency delivery teams.
Peec tracks prompt-level mentions, rank and sentiment across ChatGPT, Perplexity, Gemini, Copilot, Google AI Mode and AI Overviews with daily updates. Because seats are unlimited, account managers, strategists and analysts can all have logins without a budget conversation.
Pricing: self-serve tiers from around $95/mo for roughly 50 prompts, scaling with prompts and projects.
Pros: unlimited seats; daily refresh; clean dashboards clients understand. Cons: prompt-based pricing climbs fast across a client roster; no Claude coverage. See Peec AI alternatives.
3. Gauge — best if you resell content
Verdict: the economics only work if the content engine is part of your offer.
Gauge pairs AI mention tracking across 7+ LLMs with a content engine that drafts optimization articles, and prices agency work at around $300/mo per client. The Growth tier at $599/mo covers 600 prompts run daily plus 18 articles per month; entry is $99/mo for individual practitioners, with a 7-day free trial.
Pros: deliverables built in; competitive benchmarking. Cons: per-client pricing needs a healthy retainer to clear margin.
4. ZipTie.dev — best cheap multi-client tier
Verdict: $159/mo for three brands is the best small-roster value in the category.
Pro covers 3 brands and 500 queries across Google AI Overviews, ChatGPT and Perplexity with real-browser monitoring, and produces page-level optimization briefs — which double as client deliverables. Starter is $69/mo for one brand and 100 queries; Enterprise is custom for 5,000+ queries.
Pros: briefs you can hand to a client; low per-brand cost. Cons: three engines only; no white-label claim.
5. Rankscale — best for wide-roster coverage on a small budget
Verdict: credit-based pricing lets you spread thin coverage across many clients.
From around $20/mo, 17+ engines, 240+ regions and languages. Useful when clients want international or long-tail engine coverage that dedicated tools skip.
Pros: cheapest per-client entry; unmatched engine and region list. Cons: credit budgeting across a roster takes discipline; light on team workflows.
6. Semrush AI Visibility Toolkit — only inside an existing Semrush stack
Verdict: per-domain and per-seat pricing is the wrong shape for agencies.
$99/mo per domain covering 25 prompts, with each additional domain or seat another $99/mo. For an agency with ten clients that is ten line items before you add seats.
Pros: familiar reporting; sits with existing client SEO data. Cons: the economics work against multi-client use.
7. Profound — best for enterprise client work
Verdict: the right recommendation when your client is the one buying, not you.
Enterprise AI search analytics with deep citation source analysis and reporting built for large stakeholders. Sales-led pricing with four-figure monthly minimums per public benchmarks — usually a client-funded tool rather than an agency overhead.
Pros: citation depth; credibility in enterprise rooms. Cons: not viable as a roster-wide agency subscription.
8. Perciva — best as a specialist add-on
Verdict: not a white-label reporting platform, and useful to agencies for a narrower job.
Perciva is built for in-house B2B SaaS teams, and we would not pitch it as an agency roster tool: there is no white-label mode, and projects are capped per plan. Where agencies do use it is on individual B2B SaaS accounts where the client's problem is competitive — AI recommending a rival on evaluation questions — and the deliverable is a claim-level teardown plus the verbatim answers.
Pricing: Team €299/mo covers 5 projects, up to 10 competitors per project, all prompt packs, 30 verification checks per month, branded exports and 12-month history. Growth €129/mo covers 2 projects.
Pros: branded exports on Team; verbatim answer receipts make persuasive client evidence. Cons: no white-label; project caps; B2B SaaS clients only.
Comparison table
| Tool | Brands at entry | Multi-brand tier | Seats | White-label |
| Trakkr | 1 (Growth) | 10 brands (Scale, £395/mo) | 3, then unlimited | Yes |
| Peec AI | Prompt-based | Scales with plan | Unlimited | Not stated |
| Gauge | Per client | ~$300/mo per client | Plan-dependent | Not stated |
| ZipTie.dev | 1 ($69/mo) | 3 brands ($159/mo) | Plan-dependent | Not stated |
| Rankscale | Credit-based | Credit-based | Light | Not stated |
| Semrush | 1 domain | $99/mo per domain | $99/mo per seat | No |
| Profound | Sales-led | Sales-led | Sales-led | Not stated |
| Perciva | 1 (Starter) | 5 projects (Team, €299/mo) | Plan-dependent | Branded exports only |
How to choose
Do the per-client arithmetic before the feature comparison. Take your realistic roster size, multiply by the number of prompts each client needs, and price that against each tool's caps. Prompt-based pricing that looks cheap for one brand often becomes the most expensive option across twelve, while flat multi-brand tiers that look expensive at first are usually cheaper past the fourth client. Run the same arithmetic at double your current roster, since the tool you pick today is the one you will still be exporting reports from in eighteen months.
Then ask what you are actually selling. If the deliverable is a monthly visibility report, buy white-label and cadence — Trakkr or Peec. If the deliverable is content production, Gauge's bundle is doing two jobs. If the deliverable is a strategic audit that wins a bigger retainer, depth beats breadth and a claim-level teardown of ten buyer questions is more persuasive than a dashboard of a hundred prompts.
One warning on client expectations: none of these tools can guarantee an AI engine will change its recommendation, and engines refresh on their own schedule. Set that expectation in the proposal rather than in month three. The safest commitment is process and evidence — a defined prompt set, a monthly reading of what changed, and a clear record of which fixes shipped — rather than a promised movement in a score you do not control.
Related: Trakkr alternatives, the full AI visibility tools comparison, and what AI visibility monitoring costs.