To choose among AI visibility tools for agencies, pick the one that keeps every client separate, runs a fixed prompt set for each, covers the AI engines that client's buyers use, and turns the results into a report the client reads. This guide compares AI visibility tools for agencies on those reporting needs, with prices checked on 2026-11-04.
Key takeaways
- Judge a tool on reporting first: separate client projects, a prompt set per client, per-engine results and a report you can send without rebuilding it in slides.
- Price per client, not per plan. A per-domain price grows with every client you sign; a plan that bundles projects can flatten the cost.
- Ask every vendor whether white-label branding is included in your plan or sold as a separate line.
- In a trial, run the same 10 prompts for one real client in each tool and compare what you could show that client.
- Audit a prospect before the pitch with a free check, then move to daily tracking once they sign.
What do agencies need from an AI visibility tool?
An in-house team tracks one brand. An agency tracks many, under one login, for people who never open the tool. That changes what matters. A polished dashboard counts for less than whether the output survives a client call.
Semrush's agency guide lists five selection factors: cost at scale, multi-client monitoring, actionable recommendations, platform coverage and white-label reporting (Semrush, July 2026). We add a sixth, because it decides whether a number is believable: how the prompt set is held constant. The table below uses all six, and each row is something you can test in a trial.
| Criterion | What to check | Why it matters in a client report |
|---|---|---|
| Multi-client separation | Is each client separate, with its own competitors, prompts and history? | Data from one client must never leak into another client's report. |
| Prompt set per client | Can you fix the prompts, tag them by intent and keep them unchanged for months? | A trend is only a trend if the question did not change. |
| Engine coverage | Which engines are in the plan and which cost extra? | A client whose buyers use Gemini needs Gemini in the report. |
| Exportable reports | Branded report, data export, API, white-label branding? | Every manual rebuild in slides costs hours each month. |
| Cost at scale | Price per client at 5, 10 and 25 clients. | Margin disappears when tool cost grows faster than retainers. |
| Sources and fixes | Does it show which pages each answer cited, and which topics competitors win? | Clients ask what to do next, not just where they stand. |
How do agencies report AI search performance to clients?
Report four numbers per client, per engine, from the same prompt set each month: mention rate, share of voice against named competitors, citation share and how the brand is described. State each numerator and denominator, for example 14 of 40 answers named the brand. Then add a short list of fixes with owners.
Noma by Nurdd's published AI visibility measurement standard sets out the method: run a fixed set of unbranded buyer prompts on each engine several times, state each numerator and denominator, and call a change only when it exceeds the margin of error. A one-page monthly report can follow this structure:
- Headline movement: mention rate this month against last month, per engine.
- Competitor table: share of voice for the client and up to three rivals.
- Sources: the pages and third-party domains engines cited most.
- Accuracy: any wrong claims engines made, with the page they relied on.
- Next actions: three fixes, who owns them and when you will re-test.
An illustrative report line
The numbers below are invented to show the format, not real data. A client's prompt set has 10 prompts, each run 4 times on 2 engines, so each engine has 40 answers.
| Engine | Answers naming the client | Mention rate | Rival A named | Read-out |
|---|---|---|---|---|
| Engine 1 | 14 of 40 | 35% | 22 of 40 | Rival A leads; check which pages it is cited from |
| Engine 2 | 6 of 40 | 15% | 18 of 40 | Weakest engine; first fix goes here |
A client can read that in ten seconds and argue with it, which is the point. Showing the denominator stops the argument about whether a single screenshot was typical. For the reasons repeated runs matter, see AI citation stability. If a client's finance lead asks for revenue links, reporting AEO performance to a CFO and AI search attribution cover the visit and revenue layers.
Which AI visibility tools suit an agency, and what do they cost?
Prices below are for the two vendors read from their own pages in this review. Semrush figures come from Semrush's AI pricing page and its agency guide dated July 2026, as checked on 2026-11-04. Noma figures come from its pricing page, as checked on 2026-11-04. We left out other vendors' prices where we could not re-confirm them on the vendor's own page. Our dated comparisons cover them: Profound alternatives and Peec AI alternatives.
| Tool and plan | Price (USD, as checked 2026-11-04) | Client separation | Prompt limits |
|---|---|---|---|
| Semrush AI Visibility Toolkit | $99 per month per domain, billed annually, per Semrush's pricing page | Visibility Overview can be run for an unlimited number of clients; client profiles in Brand Performance reports | Up to 25 prompts by default, more as an add-on |
| Semrush Enterprise AIO | Custom | Projects keep each client's data separate | 500 to 15,000 prompts per month depending on set-up |
| Noma Studio | $499 per month | 10 projects | 50 tracked prompts |
| Noma Agency | $1,199 per month | 25 projects | 50 tracked prompts |
| Noma Starter / Growth / Scale | $79 / $299 / $799 per month | 1 / 3 / 10 projects | 50 / 60 / 100 tracked prompts |
Semrush states that its AI Visibility Toolkit costs $99 a month per domain, that white-labelled PDF reports come through a $20 a month My Reports Pro add-on, and that the toolkit includes two PDF reports (Semrush, July 2026). Its Enterprise AIO tier monitors 11 AI search platforms against a database of over 289M prompts, according to the same guide. The Semrush price is quoted on an annual billing basis, so confirm the monthly-billing price on its page before comparing it with Noma's monthly prices. Semrush also publishes its own roundup of tools for agencies; as with any vendor roundup, test its claims against your own client data.
Worked example: cost per client at 10 and 25 clients
The arithmetic uses only the published prices above. It ignores add-ons, seats and annual discounts, and it sets Semrush's annually billed per-domain rate beside Noma's monthly plan prices. The tools differ in engines and prompt limits, so treat it as a cost shape, not a verdict.
| Clients | Semrush AI Visibility Toolkit ($99 per domain, billed annually) | Noma plan | Noma cost per project |
|---|---|---|---|
| 10 | $990 per month | Studio, $499 | $49.90 |
| 25 | $2,475 per month | Agency, $1,199 | $47.96 |
A per-domain price rises in a straight line with each signed client, while a plan that bundles projects flattens it. Add the white-label add-on to the Semrush column if you need branded reports, and add any extra prompts you need. Then divide each total by the number of clients and compare that figure with the retainer you charge.
How do you choose by agency size?
The right plan depends on how many clients you carry and how much reporting you need. Use this table as a starting point, then test it against your own client list.
| Your situation | What to prioritise | Noma plan to look at (per its pricing page) |
|---|---|---|
| Freelancer or boutique, 1 to 3 clients | Low entry price, fixed prompts, a report you can send | Starter ($79, 1 project) or Growth ($299, 3 projects) |
| Growing agency, 4 to 10 clients | Projects per client, cost per client, prompt limits | Studio ($499, 10 projects) or Scale ($799, 10 projects) |
| Established agency, 11 to 25 clients | Project count, prompt limits, API for your own reporting | Agency ($1,199, 25 projects) |
| Agency that wants the work done for the client | Full-service delivery rather than software alone | Managed ($999) |
Studio and Scale both list 10 projects but differ in price and prompt limits, so read the pricing page for the engines and limits each includes. Confirm which plans include white-label reports on the pricing and agency pages before you choose.
Where does Noma fit for agency reporting?
Noma by Nurdd is an answer engine optimisation platform that asks 13 AI engines, including ChatGPT, Gemini, Perplexity and Claude, the questions a client's buyers ask, every day. It reports visibility, position and sentiment per engine, compares each client with competitors, and lists the pages answers cite. It offers separate projects per client, with 25 projects on its Agency plan at $1,199 a month, plus prospect audits and white-label reports on its agency page.
See it on your own client: book a demo or start the 3-day free trial. A card is taken at signup so billing can start on day 3; cancel before then and nothing is charged.
How does Noma compare on each reporting need?
| Reporting need | Noma by Nurdd (per its public pages) | What to ask any other vendor |
|---|---|---|
| Separate client projects | Separate projects per client: 10 on Studio, 25 on Agency | Is a client a project, a domain or a paid seat? |
| Prompt set per client | A fixed set of prompts put to every engine once a day from fresh sessions (prompt tracking) | Can prompts stay unchanged for months, and are runs repeated? |
| Engine coverage | 13 AI engines, including ChatGPT, Gemini, Perplexity and Claude; see the pricing page for the engines each plan includes | Which engines are in the base price? |
| Exportable reports | White-label reports for agencies; API on higher plans | Is white-labelling included or a separate fee? |
| Sources and fixes | Lists cited sources and finds topics where competitors appear and the brand does not | Can you see the cited URL for each answer? |
| Not covered | Microsoft Copilot and Meta AI are not tracked | Does your client's audience use an engine the tool skips? |
Noma's own prompt tracking page describes the method in one line:
"A fixed set of prompts put to every engine Noma polls, once a day, from fresh sessions." (Noma by Nurdd, prompt tracking page, as checked 2026-11-04)
Noma offers 10 projects on Studio and 25 on Agency at flat monthly prices, and monitors 13 AI engines. Where it does not cover something, such as Copilot or Meta AI, we say so above, because a client report that hides a blind spot is worse than a gap.
How do you test a tool before committing?
Use the trial to simulate one real client, not a demo brand. Noma's trial lasts 3 days and includes 25 tracked prompts, so prepare the inputs before you start.
- Pick one existing client and write 10 unbranded buyer prompts, such as the questions a customer asks before shortlisting. The free AI Prompt Finder suggests candidates tagged by intent.
- Add three named competitors.
- Check the tool lets you save the prompt set and leave it untouched.
- Produce the first client-ready report. Time how long it takes to make it presentable.
- Open three answers and compare the cited sources with what the dashboard summarises.
- Divide the plan price by the number of clients you would put on it.
Our guide to choosing AEO tools expands this into a buyer's checklist.
How do you roll AI visibility reporting out across a client list?
Do not switch on every client at once. Start with the two or three accounts where AI answers matter most to revenue, learn the routine, then add the rest.
Week 1: set the baseline
Write the prompt set with the client, add competitors and run the first baseline. Agree what counts as a mention, a citation and a wrong claim before the first report, so nobody redefines them later. Chapter 4 of the AEO guide covers how to run that first baseline.
Weeks 2 to 4: fix and re-check
Pick the three biggest findings, assign each to the team that owns the page or source, and re-test on the same prompts. Keep prompts unchanged so the next report compares like with like.
Month 2 onwards: run it as a rhythm
Send one page a month, hold a short review each quarter, and change the prompt set only at a planned reset, noted in the report. For governance across several teams, see AEO governance.
How do you win clients with a free audit first?
Many pitches stall because the prospect has never seen their own AI visibility. Run the free brand audit on a prospect before the meeting: it shows how AI engines describe the brand, so the first conversation starts from their data rather than a slide of statistics.
Then follow with the free Competitor AI Share of Voice report, which compares the prospect with up to three rivals. Use the outputs as your opening, and agree on the prompt set with the prospect before you start daily tracking.
What mistakes do agencies make when reporting AI visibility?
- Reporting a single run. AI answers vary between runs, so one screenshot misleads.
- Changing prompts mid-contract. The trend line then measures your edits, not the market.
- Averaging engines. Engines disagree about brands, so show them separately (why engines disagree).
- Promising positions. Promise work and measurement. Nobody controls an engine's answer.
- Ignoring wrong claims. Accuracy belongs in the report, and the correction runbook shows how to fix it.
- Pricing from the tool, not the work. Retainers should reflect prompts, engines, markets and content or PR hours. The Agency AEO Playbook covers a fixed-price audit, a monthly retainer and project add-ons.
How we researched this
We reviewed one vendor-published agency guide (Semrush, July 2026), Semrush's AI pricing page, Noma by Nurdd's own public pricing, feature and playbook pages, and its published measurement standard. Facts and prices were checked on 2026-11-04. We did not run hands-on tests of competitor tools, and we left out competitor prices we could not confirm on the vendor's own page. The report example is illustrative, not real data. Confirm any price on the vendor's page before you buy.
What to do next
Pick one client, write 10 prompts and run them through two tools with the checklist above. If the client report is the part that slows you down, see how Noma handles it on your own brand: book a demo or start the 3-day free trial. Compare plans on the pricing page.
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Questions people ask
What is the best AI visibility tool for an agency?
The right fit is the tool that keeps each client separate, holds a fixed prompt set per client, includes the engines your clients care about and produces a report you can send. Judge by price per client, not headline price. Noma by Nurdd offers 10 projects on Studio ($499 a month) and 25 on Agency ($1,199 a month).
How do agencies report AI search performance to clients?
Report mention rate, share of voice against named competitors, citation share and description accuracy, per engine, from the same prompt set each month. State the numerator and denominator, and finish with three fixes and an owner for each. One page a month is usually enough.
How much do AI visibility tools for agencies cost?
As checked on 2026-11-04, Semrush's AI Visibility Toolkit is $99 a month per domain, billed annually, according to Semrush's pricing page. Noma's plans run from $79 to $1,199 a month on its pricing page. Costs rise quickly where pricing is per domain, so divide by the number of clients.
Do AI visibility tools offer white-label reports?
Some do, and it is often priced separately. Semrush lists white-labelled PDF reports through a $20 a month add-on for its toolkit. Noma lists white-label reports among its agency features. Ask each vendor whether branding is included in your plan.
Can I audit a prospect's AI visibility for free before a pitch?
Yes. Noma's free brand audit at nomahq.app/brand-audit checks how AI engines describe a brand, and the free Competitor AI Share of Voice tool compares it with up to three rivals. Run both before the meeting so the pitch uses the prospect's own data.
How many prompts should an agency track per client?
Start with about 10 to 25 unbranded buyer prompts per client and keep them unchanged. Semrush's toolkit defaults to up to 25 prompts, and Noma's trial includes 25 tracked prompts. Add more only once the baseline is stable.
