The Shortlist/Agencies
The 6 best AI visibility tools for agencies
Published Sep 14, 2026
Every roundup of these tools prices them for one brand. Agencies do not buy them for one brand. They buy them for ten, or forty, and the pricing model is what decides whether that works or quietly eats the retainer.
This is where the two halves of the category separate. Some of these tools charge per domain and per seat, which is fine for a brand and brutal for an agency. Others sell a pool of usage you spread across client projects, which is the model that scales. The feature lists look nearly identical either way.
Six tools, ranked and priced for an agency running ten client brands.
At a glance
The shortlist, ranked
| # | Tool | Best for | Base | Entry price |
|---|---|---|---|---|
| 1 | Peec AI | Agencies that want per-client projects, predictable credit maths and six engines without per-domain billing | Berlin, with a New York office since 2026 | Agency plans from $245/mo (Essential, 3 client projects) |
| 2 | Rankscale | Agencies that want the widest engine coverage per dollar and can live with a two-person vendor | Europe, remote | From $20/mo (Essentials). Pro $99, Growth $385, Enterprise $780 |
| 3 | AthenaHQ | Agencies that want the tool to draft the optimisation work, and need Meta AI or Amazon Rufus for retail clients | United States | Free Essential tier (300 credits). Starter $295/mo, Enterprise custom |
| 4 | Profound | Agencies whose clients are enterprises with procurement, SOC 2 requirements and budget to match | New York | From $99/mo (Starter, ChatGPT only). Growth $399, Enterprise custom |
| 5 | Omnia | Small agencies with two or three clients who want to start on a free trial and keep it simple | Madrid | From €79/mo (Growth, 25 prompts). Pro €279, Enterprise from €499 |
| 6 | Semrush AI Visibility Toolkit | Agencies already running every client on Semrush who want one login and one invoice | Boston, with offices worldwide | $99/mo per domain. Semrush One, bundling SEO and AI visibility, from $199/mo |
Pricing re-checked against every vendor's own page on Sep 14, 2026
What it really costs
The same workload, priced across every tool
Entry prices are not comparable, because they buy different things. So we priced one identical workload across all of them: ten client brands, 25 prompts each, tracked daily against six engines, for twelve months. That is 250 prompts and 45,000 answers a month, which is a small agency book rather than a large one.
| Tool | Plan this forces | Per month | 12 months |
|---|---|---|---|
| Rankscale | Enterprise, $780/mo (Growth caps at 22,000 answers) | $780 | $9,360 |
| Peec AI | Agency Scale, $795/mo (65,000 credits, 25 client projects) | $795 | $9,540 |
| Semrush AI Visibility Toolkit | $99 per domain, ten domains | From $990, for four engines | From $11,880 |
| Omnia | Enterprise (no multi-client plan published) | Not published | Not published |
| AthenaHQ | Enterprise (Starter includes 3,600 of the 45,000 credits needed) | Not published | Not published |
| Profound | Enterprise (multiple companies is an Enterprise entitlement) | Not published | Not published |
The top two are effectively tied on price and differ on what you get for it. Rankscale Enterprise is $15 a month cheaper and covers more engines; Peec AI Scale includes 25 client projects when you need ten, so the same plan absorbs growth without a renegotiation. Semrush is the clearest illustration of the per-domain problem: ten domains is ten times $99 before a single extra prompt, and it still cannot reach six engines. Annual billing takes 15% to 20% off most of these.
Methodology
How this was put together
The buyer is an agency running AI Search tracking for ten client brands, wanting daily data, client-ready reporting, and a bill that does not scale linearly with the client count. Client work is the constraint that matters here, so a tool sold per domain ranks below one sold as a pool of usage, whatever its feature list says.
Everything comes from public sources: each vendor's own pricing page, its documentation, and the agency customers it names publicly. Where a vendor publishes no agency plan, we say so rather than inferring one from its brand pricing.
We priced one identical agency workload across all six and published the arithmetic below. Three of them cannot be priced for it from public information. That is the finding rather than a gap in the research, and it tells you something real about who the product was built for.
We re-check every price against the vendor's own page and stamp the date at the top. Anything that moves goes in the changelog, including changes that make an entry look worse.
The order is our judgement about fit for that agency. Every entry says where the tool is the stronger pick and where it is not, including the one at the top. On raw price the top two are separated by $15 a month, and we say so.
The tools
Every entry in detail
#1
Peec AI
- Best for
- Agencies that want per-client projects, predictable credit maths and six engines without per-domain billing
- Base
- Berlin, with a New York office since 2026
- Entry price
- Agency plans from $245/mo (Essential, 3 client projects)
- Terms
- Essential $245, Growth $495, Scale $795, Comprehensive custom. Around 15% off annual
The only tool here with a published plan line built for agencies rather than adapted from brand pricing, and the one with the agency customers to show for it. Seer Interactive, Peak Ace, Mindshare, Kinesso, Eskimoz, Previsible and Omniscient are all named publicly. The model is a pool of credits you spread across client projects, with a formula anyone can check: one prompt, against one model, for one day, costs one credit. That means you can work out next quarter's bill on the back of an envelope before you sign a client, which is the thing per-domain pricing takes away from you. Six engines are included on every tier. Scale is $795 for 65,000 credits and 25 client projects, so a ten-client agency has room to double without a new contract.
Where it is stronger
- The only published agency plan line here, with client projects as a named unit
- Credit maths you can do before signing a client, rather than after
- Scale includes 25 client projects at ten-client prices, so growth does not trigger a renegotiation
- Six engines included, with no per-domain or per-seat multiplier
- Named agency customers at holding-company scale, which no other tool on this list can show
- Looker Studio and API export, so client reporting can live in the deck you already send
Where it is not
- $15 a month more than Rankscale for the workload we priced, and fewer engines than Rankscale covers
- Engines beyond the included six are billed per engine per month across every client project, so the add-on cost multiplies at agency scale
- No free tier, so you cannot pilot a client account before paying
- Essential covers only three client projects, which most agencies outgrow immediately
- Founded in 2025, so the track record is short next to Semrush
- 18 G2 reviews is a thin base to judge from, however good the average
What it does
- Engines included on every plan, as of 14 September 2026: ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini and Microsoft Copilot
- Data access: CSV and Looker Studio on all plans, REST API and an MCP server on the higher tiers
- AI-referred traffic: AI Referrals joins measured GA4 sessions rather than estimating them
- Recommendations: Peec Actions produces prioritised actions from the source gaps it finds
- Agency plans with per-client projects: 3 on Essential, 10 on Growth, 25 on Scale
- A published credit formula: one prompt, one model, one day, one credit
- Source and citation analysis with five source classifications, plus a gap report
- Crawl insights from server logs, via Cloudflare, Vercel, AWS CloudFront, Akamai, a WordPress plugin, webhook or CSV
- Brand perception and fact-checking against facts you supply
Published proof
- Names Seer Interactive, Peak Ace, Previsible, Eskimoz, Omniscient, Kinesso and Mindshare as agency customers
- Publishes a four-tier agency plan line with credit allowances and client-project counts for each
- Publishes the credit formula rather than describing it: one prompt, one model, one day, one credit
- States more than 3,000 marketing teams, brands and agencies as customers
- Raised roughly $29M in total: a seed round led by 20VC in July 2025 and a $21M Series A led by Singular in November 2025
- 4.8 out of 5 on G2 across 18 reviews
#2
Rankscale
- Best for
- Agencies that want the widest engine coverage per dollar and can live with a two-person vendor
- Base
- Europe, remote
- Entry price
- From $20/mo (Essentials). Pro $99, Growth $385, Enterprise $780
- Terms
- Monthly or annual, 15% off annual. Unused credits roll over to a per-tier cap
On the workload we priced, this is the cheapest way to run ten clients properly, and it is not close on engine count either. Enterprise is $780 for 48,000 answers and 100 brand dashboards, which is a dashboard per client with ninety to spare. More than 17 engines are covered, against six included elsewhere. The catch is who is behind it. Rankscale is bootstrapped and built by two founders, Mathias Ptacek and Patrick Schmid, with no published compliance posture. For an agency that is a genuine question, because your clients' procurement teams will eventually ask yours.
Where it is stronger
- The cheapest option here for a ten-client book, at $780 a month
- 17+ engines, which is roughly triple what most of this list includes
- 100 brand dashboards on Enterprise, so client count is not the binding constraint
- Credit rollover, so a quiet month funds a busy one
- Per-tier credit maths published in full, including the consumption rate
Where it is not
- A two-founder bootstrapped team, which becomes your problem when a client's procurement asks about vendor risk
- No published SOC 2, SSO or compliance posture, which rules it out for regulated clients
- Credit-based with variable consumption per engine, so the monthly bill moves
- No agency plan as such. You are buying a large brand plan and dividing it yourself
- Thin public review base, so there is little independent signal on support quality
What it does
- Engines included on every plan, as of 14 September 2026: ChatGPT, Perplexity, Google AI Mode, Google AI Overviews, Gemini, Claude, Copilot, Grok, DeepSeek and Mistral, with 17+ supported in total
- Data access: REST API, Looker Studio connector and an MCP server
- AI-referred traffic: Search Console and GA4 analytics, in beta at the time of writing
- Recommendations: GEO site audits with 94+ technical checkpoints
- Brand dashboards: 10 on Pro, 50 on Growth, 100 on Enterprise
- Credit rollover to a published per-tier cap
- Citation analysis showing which sources each engine cited
- Scheduling from hourly to monthly, across all global regions
Published proof
- Publishes credit allowances and answer counts for every tier: 1,200 credits and 4,800 answers on Pro, 5,500 and 22,000 on Growth, 12,000 and 48,000 on Enterprise
- Publishes the consumption rate, at roughly 0.25 credits per engine per prompt
- Publishes brand dashboard limits per tier, which is the agency-relevant number
- Founders named publicly: Mathias Ptacek and Patrick Schmid
- Bootstrapped, with no outside funding announced
#3
AthenaHQ
- Best for
- Agencies that want the tool to draft the optimisation work, and need Meta AI or Amazon Rufus for retail clients
- Base
- United States
- Entry price
- Free Essential tier (300 credits). Starter $295/mo, Enterprise custom
- Terms
- Monthly or annual, 17% off annual. API access on Starter is a paid add-on
The pick if your bottleneck is producing recommendations rather than producing charts. An optimisation agent turns the monitoring data into on-page and off-page actions, which for an agency is the difference between a report a junior writes up and one that arrives half-written. Coverage is broad and uniform, with every model available on every tier including Meta AI and Amazon Rufus, which matters for retail clients. Built by two former Google Search and DeepMind engineers, Andrew Yan and Alan Yao, on $2.2M and a Y Combinator backing. Where it struggles is scale: one credit is one AI response, and Starter's 3,600 credits do not survive contact with ten clients.
Where it is stronger
- A free tier you can use to pilot a client before putting them on a plan
- Meta AI and Amazon Rufus covered, which most of this list does not offer
- Every engine on every tier, with no per-engine add-ons to explain to a client
- An agent that drafts the work, not just a dashboard that describes it
- Founding team with real search engineering background
Where it is not
- No agency pricing at all. Ten clients means an Enterprise conversation
- Starter's 3,600 credits cover under a tenth of a ten-client daily workload
- API access is a paid add-on on Starter, priced on request, which complicates client reporting
- $2.2M raised is the smallest funding base here
- No server-log or crawler analytics
What it does
- Engines included on every tier, as of 14 September 2026: ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot and Grok, plus DeepSeek, Meta AI and Mistral
- Data access: API access on Starter is a paid add-on, priced on request
- AI-referred traffic: not offered
- Recommendations: an advanced content optimisation agent producing on-page and off-page actions
- A free Essential tier at 300 credits, usable as a client pilot
- The Athena Citation Engine, on Starter and above
- Multi-country support on Starter and above
- SSO and audit logs on Enterprise
Published proof
- Y Combinator backed, with $2.2M raised
- Founders named publicly: Andrew Yan and Alan Yao, formerly of Google Search and DeepMind
- Publishes its credit definition plainly: one credit is one AI response
- Publishes the Starter price, the annual discount and the credit allowance
- Every tracked model is available on every tier, including the free one
#4
Profound
- Best for
- Agencies whose clients are enterprises with procurement, SOC 2 requirements and budget to match
- Base
- New York
- Entry price
- From $99/mo (Starter, ChatGPT only). Growth $399, Enterprise custom
- Terms
- Prices shown are billed yearly. Multiple companies is an Enterprise entitlement
The name your client's CMO has already heard, which is worth something real when you are recommending a stack. It is also the only tool here with SOC 2, SSO and SAML, so it is the only one that survives an enterprise security review without a conversation. The reason it sits fourth is that agency use is gated: tracking multiple companies is an Enterprise entitlement, and Enterprise pricing is not published. You cannot scope a client engagement around a number you have to ask for, and for a small agency the answer usually lands above the retainer.
Where it is stronger
- The only tool here that clears an enterprise security review on published compliance
- By far the largest funding base, which answers the vendor-risk question for you
- The most recognised brand, which shortens the conversation when you recommend it
- The largest independent review base of anything on this list, at 140+ reviews
- Dedicated Slack support at Enterprise, which suits an agency escalation path
Where it is not
- Multi-client tracking requires Enterprise, and Enterprise pricing is not published
- The $99 tier tracks ChatGPT only, so it cannot be used as a cheap client pilot
- Reaching three engines costs $399 per company, which does not divide across clients
- No free tier
- Built around one company's data, so agency workflows sit on top rather than underneath
What it does
- Engines by tier, as of 14 September 2026: ChatGPT at Starter; ChatGPT, Perplexity and Google AI Overviews at Growth; up to nine including Google AI Mode at Enterprise
- Data access: API and integrations on Enterprise
- AI-referred traffic: agent analytics covering AI crawler and referral behaviour
- Recommendations: Agents credits, from 100 a month at Starter
- Multiple company tracking, on Enterprise
- Dedicated Slack support on Enterprise
- SSO, SAML and SOC 2 compliance on Enterprise
Published proof
- Raised $58.5M in total, including a $35M Series B led by Sequoia
- States SOC 2 compliance and SSO/SAML availability on Enterprise
- Publishes Starter and Growth pricing and the engine count at each tier
- Names multiple company tracking as an explicit Enterprise entitlement
- Publishes widely cited original research on AI Search
- More than 140 G2 reviews at 4.6 out of 5, the largest review base in this category
#5
Omnia
- Best for
- Small agencies with two or three clients who want to start on a free trial and keep it simple
- Base
- Madrid
- Entry price
- From €79/mo (Growth, 25 prompts). Pro €279, Enterprise from €499
- Terms
- Monthly or annual, 20% off annual. 14-day free trial, no card required
Genuinely good at the small end and honest about where it stops. A 14-day trial with no card means you can put a prospect's brand in front of them before anyone signs anything, which is a useful new-business tool on its own. Founded in Madrid in 2024 by Daniel Espejo, previously at Klarna, on a €3.5M pre-seed. The prompt discovery is the part worth having: it surfaces the questions buyers actually ask about a category, which is exactly the artefact you want in a pitch. What it does not have is a multi-client plan. At ten clients you are managing separate subscriptions, and the arithmetic stops working.
Where it is stronger
- A no-card trial, which doubles as a pitch asset for new business
- Prompt discovery that produces something clients find genuinely interesting
- The lowest entry price here at €79, so a two-client agency can start properly
- Credits that never expire, which suits lumpy agency workloads
- Simple enough that an account manager can run it without training
Where it is not
- No multi-client or agency plan published, so ten clients means ten subscriptions to administer
- Four engines by default is the narrowest coverage in this guide
- 25 prompts on the entry tier is thin for any client with a real category
- Priced in euros, which adds a currency line to US client billing
- The smallest team here, on a €3.5M pre-seed
What it does
- Engines included by default, as of 14 September 2026: ChatGPT, Perplexity, Google AI Overviews and Google AI Mode, with up to seven available
- Data access: API access and data exports on paid plans
- AI-referred traffic: not offered
- Recommendations: Omnio surfaces the questions buyers ask about your category
- Citation tracking in any language or region
- Competitive intelligence and share of voice
- Insight credits that never expire
Published proof
- Raised a €3.5M pre-seed in October 2025, led by Visionaries Club with Kfund and Baobab Ventures
- Founder named publicly: Daniel Espejo, previously at Klarna
- Publishes full pricing for all three tiers
- Offers a 14-day trial with no card required
- States that monthly and purchased credits combine and never expire
#6
Semrush AI Visibility Toolkit
- Best for
- Agencies already running every client on Semrush who want one login and one invoice
- Base
- Boston, with offices worldwide
- Entry price
- $99/mo per domain. Semrush One, bundling SEO and AI visibility, from $199/mo
- Terms
- Per domain and per seat. Extra prompts and extra seats are billed separately
If your whole agency already lives in Semrush, the argument for this is operational rather than technical, and that argument is real. One login, one invoice, and the AI data sits next to the keyword and backlink data your team already reads. The problem is that per-domain pricing is the worst possible model for an agency. Ten clients is $990 a month before a single extra prompt, forty clients is $3,960, and it still tops out at four engines with no Google AI Mode as a separate surface. It is the most expensive option here and the least complete, and it is on the list because the switching cost of leaving Semrush is a genuine reason people stay.
Where it is stronger
- No new vendor, no new login, no new invoice and no new training
- AI data next to keyword, backlink and technical data, so one analyst reads all of it
- The largest support and research organisation of anything here
- Client reporting already wired into whatever Semrush reporting you run today
- The easiest internal and client-side approval on this list
Where it is not
- Per-domain pricing is the worst model for an agency, and the cost scales linearly with clients
- Ten clients costs at least $990 a month, more than any other tool here
- Extra seats are $99 each, so a five-person team adds another $396
- Four engines, with no Google AI Mode as a separate surface
- 25 prompts per client is the smallest allowance in this guide
What it does
- Engines included, as of 14 September 2026: ChatGPT, Google AI, Gemini and Perplexity, with Google reported as one combined surface
- Data access: exports and reporting within the Semrush platform
- AI-referred traffic: available through the wider Semrush analytics suite rather than the AI toolkit
- Recommendations: a site audit scoring AI readiness
- Prompt tracking with daily AI rankings, 25 prompts included per domain
- Brand performance analysis, one domain at a time
- AI competitor analysis and prompt research
- Sits inside the wider Semrush platform alongside the classic SEO toolkits
Published proof
- Publishes the $99 per domain price and the 25-prompt allowance
- Publishes add-on pricing: roughly $60 for 50 extra prompts, $99 per extra domain, $99 per extra seat
- Semrush One bundles SEO and AI visibility from $199/mo
- Part of a long-established public company with a large published research output
- Publishes its own AI visibility research and roundups, which are themselves among the most cited sources in this category
Per domain or per pool, and why it decides everything
There are only two pricing models in this category and the difference matters more than any feature.
Per domain means you pay a fixed amount for each brand you track. Semrush works this way, and so does Profound in effect, because multi-company tracking is an Enterprise entitlement. The cost rises in a straight line with your client count, which means every new client has a fixed software cost attached before you have done any work. At $99 a domain, a forty-client agency is paying $3,960 a month.
Per pool means you buy a quantity of usage and spread it over as many clients as you like. Peec AI, Rankscale and AthenaHQ all work this way. The cost rises with how much you actually track, not how many logos you have, so a client on a small prompt set costs you very little. It also means you can put a prospect in the tool during a pitch without adding a line to the bill.
For an agency the pool model wins almost every time. The exception is when a single client is large enough to fund its own subscription, which happens, and at that point you should be billing the software through to them anyway.
What your clients will actually ask for
Three things, in our experience, and only one of them is on any vendor's feature page.
First, they want to know why, not what. A chart showing 22% visibility generates one question, which is what to do about it. The tools that answer it are the ones that show you the URLs the model read before it answered, because that tells you whether the gap is a PR problem or a content problem. Those are different budgets and different teams, and guessing wrong costs a quarter.
Second, they want it in the reporting they already get. Nobody wants another login. Looker Studio export, an API, or a CSV that survives contact with your deck template matters more than the dashboard's own design, because your client will only ever see your version of it.
Third, and this one arrives late, they want to know whether it is working. That means a number that moves over quarters rather than days, and a record of what you changed and when. Daily volatility in this data is mostly noise. If you report it weekly you will spend your QBRs explaining variance instead of progress.
What we left out, and why
We left out tools with no published pricing at any tier. An agency has to quote a client before it buys, and a tool you cannot price is a tool you cannot scope.
We left out the social listening platforms that added an AI tab. They count mentions across the web, which is a different job, and the source-level data an agency needs to act is usually the first thing missing.
We left out white-label resellers of other people's tracking. Several exist, most are a wrapper around one of the engines already on this list, and the margin you gain is paid for in a support chain you do not control.
We also left out the free prompt checkers. They are useful in a pitch and useless in a retainer, because one reading of one question tells you nothing about direction.
FAQ
Questions buyers actually ask
- What should an agency budget for AI visibility tracking per client?
- Between $60 and $100 per client per month at ten clients, on a pool-based plan, for a normal 25-prompt set across six engines. On per-domain pricing it is $99 per client before extras, and it does not come down as you grow. Most agencies bill this through to the client as a line item rather than absorbing it, which is easier if the plan lets you show per-project usage.
- Can we white-label these tools for client reporting?
- Mostly not in the dashboard itself. What you actually get is export: Looker Studio connectors, APIs and CSV, which you then put in your own template. Treat white-labelling as a reporting question rather than a platform question, and check the export path before you buy, because that is the part your client will see every month.
- How many prompts should we track per client?
- Twenty-five to fifty for most clients. Start with the comparisons their buyers make between them and two named competitors, the category questions where they would want to be one of three names, and the questions their sales team hears every week. Below fifteen you are reading noise. Above a hundred you are usually tracking rephrasings of the same question and paying for it.
- Do we need a different tool for enterprise clients?
- Sometimes, and it is a compliance question rather than a feature one. An enterprise client's security review will ask about SOC 2, SSO and data residency. Profound is the only tool in this guide with a published compliance posture, which is why it sits where it does despite the pricing. For everyone else, check before you put a name in a proposal.
- Will tracking improve our clients' visibility on its own?
- No. These tools measure the problem. The improvement comes from the work the source data points at: getting clients into the third-party pages models retrieve, making their own pages quotable, and building review profiles models trust. Sell the tool as the measurement layer under a retainer, not as the retainer.
- How do we prove this is working to a client?
- Pick the prompt set at the start of the engagement and do not change it, because changing it changes the number without changing reality. Report quarterly on visibility and average position across that fixed set, alongside what you shipped in the period. Add the source data showing which pages started getting cited. That last part is the one clients find persuasive, because it connects a number they cannot feel to work they can see.
Changelog
What has changed since we published
- Sep 14, 2026
- First published. All prices checked against each vendor's own pricing page on the same day.
More shortlists
Every other buying guide
Tools
The 6 best AI Search monitoring tools
ChatGPT
The 6 best ChatGPT tracking tools
The 6 best Google AI Overviews and AI Mode tracking tools
In-house SEO
The 6 best AI Search tools for in-house SEO teams
B2B startups
The 5 best GEO agencies for B2B startups
Scale-ups
The 5 best GEO agencies for scale-ups
Enterprise
The 5 best GEO agencies for enterprise
B2B SaaS
The 5 best GEO agencies for B2B SaaS
Regulated
The 5 best GEO agencies for regulated industries
Europe
The 5 best GEO agencies in Europe
Germany
The 5 best GEO agencies in Germany
Scale-ups · Europe
The 5 best GEO agencies for scale-ups in Europe
Europe · SEO & AI
The 5 best SEO and AI Search agencies in Europe
Germany · SEO & AI
The 5 best SEO and AI Search agencies in Germany