The affordable AI visibility tracking tools for agencies are those whose billing unit (prompts, credits, domains or client workspaces) stays cheap once multiplied by the number of clients: shared prompt pools and multi-project plans tend to scale better than per-domain pricing. The entry price decides little. We checked every price on vendor pricing pages on 1 November 2026.
What affordable means when one tool tracks several clients
Vendors bill AI visibility tracking per client, domain, workspace, prompt or credit. A plan with a low entry price can cost more than a pricier one once an agency adds clients, so the entry price alone misleads.
Two capabilities come before price. The tool must cover the engines your clients' buyers use, at minimum ChatGPT, Perplexity, Gemini and Google AI Overviews, and it must produce reporting you can send to a client without rebuilding it. A cheap tracker that fails either test moves the cost into your team's hours.
We define affordable as a ratio: the monthly tool cost per client divided by the monthly fee that client pays. Take a hypothetical agency on fixed monthly retainers that allows tooling a small, fixed share of each fee. A plan whose cost per client exceeds that share is not affordable for this agency, whatever its entry price. We know of no verified benchmark for that share.
Vendors use three structures to track several brands at once:
- One shared prompt pool. The plan includes a block of prompts or checks that you divide between clients. Cost per client falls as clients are added, and so does prompt depth per client.
- One workspace or project per client. The plan includes a fixed number of projects. Cost stays flat until you pass that number and move up a tier.
- One paid domain per client. Each client is a separate subscription line, so the total grows in step with the client book.
Affordable AI visibility tracking tools compared: plans, limits and client features
All terms below come from the vendors' public pricing pages, checked on 1 November 2026. Where the line we checked did not state a term, the cell says Not verified. That includes Peec AI's agency terms, such as client projects and minimum credits per project, and Profound's paid-plan price.
| Tool | Lowest paid plan | Billing as quoted | Engines | Prompts or checks | Client structure | Client reports | Trial |
|---|---|---|---|---|---|---|---|
| Namedrop | Pro, $49/month | Per month, basis not stated | Not verified | Not verified | Pitched at several brands, from a second client | Unlimited reports, full history, complete PDF exports | Not verified |
| Otterly.AI | Lite, $29/month | Per month, basis not stated | Not verified | 100 extra search prompts at $99 | Not verified | Not verified | Not verified |
| Peec AI | Starter, $95/month | Per month, basis not stated | Not verified | Not verified | Agency terms not verified | Not verified | Not verified |
| Semrush AI Visibility Toolkit | Base, €94.94/month per domain | Billed annually, per domain | Not verified | 25 custom prompts, daily AI rankings | One paid domain per client | White-label add-on not verified | Not verified |
| SE Visible | Basic, €64/month (€80/month also shown) | Per month, basis not stated | Not verified | 75 tracked prompts, about 11,250 AI answers per month | 5 projects, 1 location per project | Not verified | Not verified |
| ZipTie.dev | Pay per check: $0.01 per prompt, engine and check | Usage-based | All 7 engines at $0.0087 a check | Billed per prompt, engine and check | Not verified | Not verified | Not verified |
| Rankscale | Starting at $17/month ($20 also shown) | Per month, basis not stated | Not verified | Credits; per-engine cost, including Claude, not verified | Not verified | Not verified | Not verified |
| Profound | Not verified | Not verified | Not verified | Not verified | Not verified | Not verified | Not verified |
How to read the table: monthly versus annual billing and what a prompt or credit buys
Read the billing column before the price. Semrush's €94.94/month per domain is billed annually. The other fixed prices are stated per month without saying, in the lines we checked, whether they assume monthly or annual billing. Where a plan shows two prices, as SE Visible (€64 and €80) and Rankscale ($17 and $20) do, confirm at checkout which billing period each applies to.
A prompt is one question tracked for a client; a credit or check is a unit of consumption. ZipTie.dev prices one prompt, on one engine, checked once, at $0.01, or $0.0087 a check on all 7 engines, so daily tracking on several engines multiplies checks. Add-ons sit in the row: Otterly.AI sells 100 extra search prompts at $99, and Rankscale's credit cost per engine, including any premium for Claude, was not verified.
In every row, confirm three features during a trial: prompt-level tracking (results per prompt, not only an aggregate score), citation and source analysis (which pages each engine cites) and competitor share of voice. For one vendor in more depth, see Profound alternatives compared on dated pricing-page terms.
What three, five and ten clients cost on each tool, overages included
The workload is hypothetical and identical for every tool: each client has a locked set of a couple of dozen prompts, tracked daily on ChatGPT, Perplexity, Gemini and Google AI Overviews. Each total below is the formula a quoted price supports; where a tier's limits for this workload were not verified, we say so instead of forcing a figure.
- Semrush AI Visibility Toolkit, per domain. The total is the number of client domains times €94.94/month, billed annually. The 25 custom prompts on each Base subscription cover the workload, so three, five or ten clients mean as many Base lines.
- SE Visible, per project. Basic at €64/month includes 75 tracked prompts and 5 projects. Three clients fit with the prompts shared. Five clients fit the project count, but a couple of dozen prompts each exceeds the pool. Ten clients exceed 5 projects, and the next tier was not verified.
- Namedrop, one plan for several brands. Pro is $49/month and pitched at handling several brands, but the pricing line states no brand or prompt limit, so confirm that five or ten clients fit.
- Otterly.AI, plan plus prompt packs. Lite is $29/month; its included prompts and workspaces were not verified. Each pack of 100 extra search prompts adds $99, more than Lite itself.
- ZipTie.dev, usage. The total is clients times prompts times engines times checks per month times $0.01, or $0.0087 a check when all 7 engines run. Every variable scales the bill, check frequency included.
- Peec AI, Rankscale and Profound. Client capacity, credits and per-engine costs at their entry prices were not verified, nor was Profound's paid pricing, so none can be totalled on verified terms.
On verified terms, two entry plans stay below one Peec AI Starter or one Semrush Base line at three clients: SE Visible Basic at €64/month and Namedrop Pro at $49/month, the latter with limits to confirm. At five clients, SE Visible's shared prompt pool becomes the constraint.
The order changes as clients are added: per-domain plans grow with every client, project plans stay flat until their cap and then jump a tier, and usage plans grow with every prompt and check.
One worked total, line by line, for a hypothetical five-client agency on Semrush that needs branded reports:
- Plan: €94.94/month per domain, billed annually, times five domains.
- Prompts: 25 custom prompts per subscription cover a couple of dozen, so no extra pack.
- Engines: not verified in the line checked; confirm Google AI Overviews before signing.
- White-label reports: add-on price not verified; add it if clients require your branding.
- Seats: not verified; add any extra users.
- Total: the plan line plus the white-label and seat lines, committed for a year, divided by five for the cost per client.
How many prompts per client you need before the numbers hold
The prompt count per client sets how far a monthly change in the client report can be trusted. AI engines can return a different answer, or different brands, each time a prompt runs. We could not verify a published figure for how often repeated runs agree.
With a handful of prompts, one flipped answer moves a client's score sharply; a couple of dozen dampen that. Our working rule is an inference, not a sourced threshold: give each client at least a couple of dozen prompts tied to real buying questions, run each several times before setting a baseline, and report a change only when it persists across consecutive checks.
When a score moves while citations stay flat, separate three causes: run-to-run variance, a vendor's score definition (what it weights, which can change), and real change in what engines cite. Only the last belongs in the report as a result. Scores from different vendors rest on different definitions and prompt sets, so they cannot be compared directly. See how to build a monthly AI visibility client report for the report itself.
Free and near-free options, and what they cannot do
A manual audit with a locked prompt set and a spreadsheet
Our method, not a sourced protocol: write a couple of dozen prompts per client, lock the wording, and run each a few times in ChatGPT, Perplexity, Gemini and Google with AI Overviews. Log date, engine, prompt, whether the client is named, position, competitors named and cited URLs. As a hypothetical estimate, allow several hours per client per round. To start, run a free AI search visibility check yourself.
Running the same prompts through the APIs
OpenAI and Anthropic publish per-token API prices; we could not verify current quotes on 1 November 2026, so here is the hypothetical calculation instead of a total: tokens per answer times the per-token price, plus any web search fee, times prompts, runs, engines and clients. API answers can differ from what users see in the consumer apps.
Free tiers and a cheap tracker plus Looker Studio
AthenaHQ's plans page, checked on 1 November 2026, lists Essential as free, with "$25 free credit" and 300 credits included. That line does not say which engines the credits cover or how many brands they track.
For ten or more clients, a lower-cost stack is a low-tier tracker with exports feeding a dashboard in Looker Studio; we did not verify its current pricing terms, so check them. The agency then builds and maintains the data connection, a template per client and the branding. This covers client-ready reporting, still required at this budget, when the tracker has no white-label option. An all-in-one suite moves that work to the vendor; compare the two with the cost-per-client method above.
Where to start this week: price your client book and pilot two tools
- Price the book. Count clients, prompts per client and engines, then compute the monthly cost per client for two shortlisted tools with the formulas above.
- Set a ceiling. Decide the share of the client fee the tool may consume and reject any plan above it.
- Pilot both on one client. Run the same locked prompt set in both tools for the trial period, adding the client's main competitors, and compare stability between checks, cited sources and share-of-voice output, not only own-brand mentions.
- Check switching costs. Record the export format, history portability, annual commitment and cancellation terms, with the date you checked them.
- Test the report last. Build one real client report in each tool and commit only to the one you could send as is.
As a next step before choosing a plan, run a free Namedrop scan on one client to see which competitors ChatGPT, Perplexity, Gemini and Claude cite for that brand today.
Sources
- Namedrop, Namedrop pricing, consulted 2026-11-01
- Otterly.AI, OtterlyAI Pricing - Transparent & Simple, consulted 2026-11-01
- Peec AI, Pricing for Peec AI - AI Search Analytics for Marketing teams and SEO agencies, consulted 2026-11-01
- Semrush, AI Visibility Toolkit Pricing | Semrush, consulted 2026-11-01
- SE Visible (SE Ranking), Pricing & Plans | SE Visible AI Visibility Platform, consulted 2026-11-01
- ZipTie (ziptie.ai), Pricing: Pay for Prompts and Engines You Track | ziptie.ai, consulted 2026-11-01
- Rankscale, Pricing | Rankscale, consulted 2026-11-01
- AthenaHQ, Plans & Pricing | Action on AI Search, consulted 2026-11-01