Best AI Visibility Tools For Competitor Benchmarking (2026)

Choose an AI visibility tool by prompt volume first and rival count second. Promptmonitor covers 25 to 150 prompts at the lowest price per prompt, OtterlyAI adds citation tracking at small scale, and Peec AI suits long rival lists. Semrush and Profound earn their cost only with an existing Semrush stack or enterprise reporting needs.

That rule holds when you benchmark one brand against three to ten rivals in English-language markets and report monthly to a marketing leader.

Plans and prompt caps change often, so confirm them on the vendor's pricing page before you buy. Remember too that a single run is only one sample of an answer that varies.

AI Visibility Tools For Competitor Benchmarking At A Glance

Here are the five tools, ordered by the prompt volume each one suits, with prices as listed on each vendor's pricing page in October 2026.

1. Promptmonitor: Best For Lowest-Cost Starter Benchmarks

Promptmonitor suits teams benchmarking 25 to 150 prompts on a tight budget. Its Starter, Growth and Pro plans cap prompts at 25, 50 and 150 for $29, $39 and $129 a month.

It is the one to pick when you own the benchmark alone, have no procurement process and need a number for next month's report. Among the plans with a published price, its Growth plan gives you the lowest cost per prompt on the list.

Promptmonitor's pricing page also lists a 7-day trial on Starter, six engines on Starter, and AI Mode and AI Overviews coverage on Pro. It does not state a competitor cap, so ask in the trial before you load a long rival list.

Strengths:

• Cost per prompt: Growth is the cheapest priced plan per tracked prompt in this article, and the division is shown in the choosing section below.
• Crawler data: Crawler and AI bot analytics come on all listed plans, so you can check whether AI bots reach your key pages as well as whether answers mention you.
• Reporting: CSV export is listed on Starter, which keeps the monthly report easy to build in a spreadsheet.

Trade-offs:

• Cadence on the entry plan: Starter refreshes twice a week, and daily refresh starts at Growth.
• Competitor cap: The pricing page does not state one, so a long rival list is a question for the trial.
• Ceiling: The highest listed plan stops at 150 prompts, so a 300-prompt library needs another tool.

Key capabilities:

• Engine coverage: Six engines on Starter, with AI Mode and AI Overviews on Pro.
• Crawler and AI bot analytics: Included on every listed plan.
• Response volume: From 2,250 responses a month on Starter to 14,000 on Pro.
• Export: CSV export from the first plan.

Good fit:

• Prompt count: Teams that need 25 to 150 prompts.
• Ownership: One marketer running one benchmark for one brand.
• Technical angle: Teams that suspect rivals are easier for AI bots to crawl.

Not a fit:

• Large libraries: Programmes that need more than 150 prompts on a listed plan.
• Stated rival cap: Buyers who need the competitor limit in writing before the trial.

The limitation that matters most is cadence, because Starter refreshes twice a week and the cheapest line is not always the like-for-like line.

2. OtterlyAI: Best For Citation Tracking On A Small Budget

OtterlyAI starts at $29 a month for 15 prompts and tracks unlimited competitors, so the limit you hit first is prompt count. The ladder runs 15, 100 and 400 prompts at $29, $189 and $489 a month, with an Enterprise plan quoted for 1,000 prompts and up.

This is the tool for a team that wants to see which sources feed the answer, not only who is named in it. Citation source tracking starts on the cheapest plan.

OtterlyAI's pricing page takes 15 percent off annual billing and offers a free trial without stating its length. Lite lists four core engines, and the page does not name them, so check the engine list in the trial.

Strengths:

• Rival count: Unlimited competitors on Lite, Standard and Premium, so a long rival list costs nothing extra.
• Citations from day one: Citation source tracking starts on Lite, and link citation analysis starts on Standard.
• Clear ladder: Three published prices make the budget conversation short.

Trade-offs:

• Lite is too small: Fifteen prompts is below the 25-prompt minimum for a useful benchmark.
• Big step up: Moving from Lite to Standard multiplies the monthly bill, so most serious benchmarks start at Standard.
• Trial length: Confirm the trial length with OtterlyAI before you plan a baseline month around it.

Key capabilities:

• Citation source tracking: Available on every published plan.
• Link citation analysis: From Standard.
• Unlimited competitors: On Lite, Standard and Premium.
• Annual discount: 15 percent off annual billing.

Good fit:

• Citation-led teams: Marketers who will act on the domains that AI answers cite.
• Long rival lists: Teams tracking more than ten competitors on a modest prompt count.
• Mid-size libraries: Programmes in the 100 to 400 prompt range that can pay for Standard or Premium.

Not a fit:

• Cheapest possible start: Teams that need 25 or more prompts at the $29 price point.
• Quick answers on length: Buyers who must know the exact trial length before they start.

The limitation that matters most is the prompt cap on Lite, because 15 prompts will not carry a rival benchmark across four intent buckets.

3. Peec AI: Best For Large Rival Sets On Mid-Size Plans

Peec AI tracks unlimited competitors on every plan and caps prompts at 50, 150 and 350 across Starter, Pro and Advanced. A long rival list is the reason to choose it.

Peec AI sits between the budget trackers and the enterprise platforms. It gives you 50 to 350 prompts, against 25 on Promptmonitor Starter and 15 on OtterlyAI Lite, with multi-country tracking from the Pro plan up. Pricing is on request.

Peec AI's pricing page lists daily runs on Starter and names Perplexity and API-based models under Enterprise.

Strengths:

• Rival count: Unlimited competitors on all plans.
• Daily runs: Listed on Starter, so the first plan already gives you fresh data every day.
• Multi-country tracking: One country on Starter, three on Pro and multi-country on Advanced.

Trade-offs:

• Engine choice: Starter to Advanced let you select three of six engines. Confirm in the trial that Perplexity is among the ones you can select before you commit.
• Price: Every plan is Pricing on request, so budget approval waits for a quote.
• Project limits: One project on Starter and two on Pro, which matters if you benchmark more than one brand.

Key capabilities:

• Prompt caps: 50, 150 and 350 on the three self-serve tiers.
• Answer volume: 4,500, 13,500 and 31,500 AI answers a month.
• Enterprise reach: Up to 13 models and unlimited projects.

Good fit:

• Long rival lists: Teams with an ops set of 10 to 20 competitors.
• Multi-market work: Teams that need three or more countries on one plan.
• Daily data: Teams that want runs every day from the first plan.

Not a fit:

• Fixed-price buyers: Anyone who needs a list price before a first call.
• Unconfirmed engine needs: Teams whose benchmark depends on one specific engine they cannot verify in the trial.

The limitation that matters most is price, which comes through a quote.

4. Semrush: Best For Teams Already Running Their SEO In Semrush

Semrush fits teams that already pay for it, because AI visibility tracking sits beside keyword and audit data in the same login. Semrush's pricing page lists AI performance tracking and custom prompt monitoring on the SEO plan at $117.33 a month billed annually.

If your team already runs keyword research, site audits and competitor gap analysis in Semrush, adding its AI performance tracking keeps rival benchmarking in the same login and avoids a second tool budget.

The catch is how prompts are counted. Caps are set per day and per domain, so a benchmark across many brands costs more here than in a specialist tool. The stand-alone AI Visibility Toolkit price sits on a separate tab of the pricing page and is not quoted in this article.

Semrush's pricing page also lists a free plan at $0 a month, limited to one demo project.

Strengths:

• One login: AI performance tracking sits beside keyword research, site audits and competitor gap analysis.
• Published prices: Four plans with annual and monthly figures, and a custom Advanced tier.
• Scale at the top: Advanced lists unlimited prompts a day and API access.

Trade-offs:

• Per-day, per-domain caps: A multi-brand benchmark costs more here than in a specialist tool.
• Competitor cap: Semrush lists no rival limit on its plan table, so ask before you plan a long rival list.
• Separate toolkit price: The stand-alone AI Visibility Toolkit price is not on the plan table.

Key capabilities:

• AI performance tracking: Included from the SEO plan.
• Custom prompt monitoring: Included from the SEO plan.
• Suite data: Keyword research, site audits and competitor gap analysis in the same account.

Good fit:

• Existing Semrush teams: Anyone who already pays for the suite and wants one login.
• Single-brand benchmarks: One domain tracked against a rival set.

Not a fit:

• Multi-brand programmes: Agencies or groups benchmarking many brands on per-domain caps.
• Standalone buyers: Teams that need a dedicated AI visibility tool and nothing else.

The limitation that matters most is the per-day, per-domain prompt cap, which makes cost climb quickly when you add brands.

5. Profound: Best For Enterprise Programmes With Custom Needs

Profound offers a free 7-day trial with 50 prompts run daily, and Enterprise is quoted by sales, so the route to a price is a conversation with the vendor.

Its pricing page names citations, sentiment, ranking and competitive presence as what it tracks, and it includes AI crawler analytics in both the trial and Enterprise. That crawler view is where how LLMs read a site becomes a measurable question rather than a guess.

Strengths:

• Citations and sentiment: Tracked alongside ranking and competitive presence, per Profound's own pricing page.
• Crawler analytics: Agent analytics shows AI crawler activity, included in the trial and Enterprise.
• Enterprise controls: API, SSO and SOC 2 on the Enterprise plan.

Trade-offs:

• Procurement: Enterprise pricing goes through sales, which slows a first purchase.
• Narrow trial: One region and one language for 7 days, so it proves the workflow and little more.

Key capabilities:

• Answer engines: Up to 9 on Enterprise.
• Agent analytics: AI crawler analytics in both plans.
• Integration: API access on Enterprise.

Good fit:

• Large programmes: Enterprise teams with a security review and a procurement process already in place.
• Technical SEO owners: Teams that want crawler analytics next to citation data.

Not a fit:

• Small teams: Anyone who only needs a small prompt library and cannot justify a sales cycle beyond the 7-day trial.
• Fixed budgets: Buyers who need a card price to get approval.

The limitation that matters most is access, because the only self-serve route is a 7-day trial and everything else is a conversation with sales.

What Competitor Benchmarking Means In AI Search

Competitor benchmarking in AI search means measuring how often AI answers mention, recommend and cite your brand against a fixed set of rivals across a fixed list of prompts. The rivals, the prompts and the scoring rules stay locked, so the only thing that moves is the answer.

That makes it a different job from SEO competitor analysis. SEO analysis compares rankings, links and SERP features. AI benchmarking compares mentions, recommendations, comparisons, citations and shortlists inside the answer. A rival can win an AI answer while ranking lower than you in classic search, which is why a strong rank report tells you little about this.

It also adds to rank tracking and does not replace it. Rank tracking follows keywords. Monitoring follows prompts. Keep both, and read them side by side when the two disagree.

Engines differ too. Some show their sources prominently and others show few, so the same prompt can give a different picture in each. AI answers also vary by model, region, wording and time. If you want engine-specific coverage, our guide to tools for monitoring ChatGPT and Perplexity goes through the options.

The Five Metrics That Decide A Benchmark

Track five numbers. Anything beyond them is detail.

1. Mention rate: The share of tracked prompts where your brand appears at all. Use it as the first health check, because a brand that is absent cannot be recommended.
2. Share of AI voice: Your mentions as a share of all mentions, yours and your rivals' together. Use it to show whether you are gaining or losing ground against the named set.
3. Prominence: Where you sit when you are mentioned, whether first, in the top cluster or buried as an also-consider. Use it to separate a brand that is named from one that is recommended.
4. Citation share: The share of cited domains that belong to you, set against rivals and third parties. Use it to build the source target list in the citation section below.
5. Sentiment and framing: How the answer describes you, such as best for enterprise or cheap but limited. Use it to catch a mention that hurts more than it helps.

Both calculations are simple enough to run in a spreadsheet.

• Share of voice: Your mentions divided by your mentions plus all rival mentions, times 100.
• Citation frequency: Brand mentions divided by queries tested, times 100.

As an illustration with round numbers, if you appear in 20 answers and rivals appear in 80 between them, your share of voice is 20 percent. If 12 of 60 tested queries mention your brand, citation frequency is 20 percent.

The mention count is only as good as the tool producing it, and the reliability test for that lives in our guide to brand mention tracking tools.

One caution on benchmarks from outside. Passionfruit's benchmarking guide gives 15 to 30 percent citation frequency for established brands and 35 to 45 percent share of voice for market leaders, but the ranges are the publisher's own and no dataset sits behind them. Your first-month baseline is the better comparator, so use the ranges as a rough sense of scale and nothing more.

How Many Prompts Do You Need To Benchmark Rivals?

A minimum viable AI competitor benchmark uses 25 prompts. Ten are category discovery, ten are brand-versus-rival comparisons and five are switching prompts. The working range for most growth teams is 60 to 120 prompts, and 300-plus belongs to enterprise and multi-market programmes.

SE Visible, the AI visibility product from SE Ranking, lists plans at 200, 450 and 1,000 prompts, so paid tiers for larger programmes start well above the 25-prompt minimum. If you expect to live in that range, read our guide to monitoring 1,000+ prompts.

Our own proof-of-value test is much smaller. It runs for 14 days with 25 to 50 prompts against 3 to 5 rivals, which is enough to see whether a tool surfaces useful gaps before you commit a budget.

How To Choose: Competitor-Set Size Plus Prompt Volume

This is the rule. Prompt volume is input one and competitor-set size is input two. Volume decides the plan, and rival count decides whether that plan is allowed to be cheap.

Semrush caps prompts per day and per domain, so its plans do not map cleanly onto this table. Compare them on the plan sheet at Semrush's pricing page, where the Starter plan lists 50 prompts a day and Pro+ lists 100.

For rival count, OtterlyAI and Peec AI list unlimited competitors on their pricing pages. Promptmonitor, Semrush and Profound do not state a competitor cap, so ask during the trial.

The Price-Per-Prompt Arithmetic

Divide each listed monthly price by its prompt cap and you can compare plans on a like-for-like basis. Repeat it with your own numbers.

• Promptmonitor Starter: $29 a month divided by 25 prompts is $1.16 a prompt.
• Promptmonitor Growth: $39 a month divided by 50 prompts is $0.78 a prompt.
• Promptmonitor Pro: $129 a month divided by 150 prompts is $0.86 a prompt.
• OtterlyAI Lite: $29 a month divided by 15 prompts is $1.93 a prompt.
• OtterlyAI Standard: $189 a month divided by 100 prompts is $1.89 a prompt.
• OtterlyAI Premium: $489 a month divided by 400 prompts is $1.22 a prompt.

The cheapest line is not always the like-for-like line. Promptmonitor Starter refreshes twice a week, while Growth and Pro refresh daily, so a lower price per prompt on a daily plan buys fresher data as well.

The Three-Line Rule

1. Pick the plan that fits with 20 percent headroom. As an illustration, a 40-prompt library needs a plan with at least 48 prompts, so Promptmonitor Growth at 50 fits and Starter at 25 does not.
2. Check the rival cap. Unlimited on OtterlyAI and Peec AI, not stated elsewhere, so ask in the trial.
3. Run the trial. Use the same locked prompt list on your top two plans and compare what each one tells you.

For 25 to 150 prompts, Promptmonitor is the lowest-cost fit at $29 to $129 a month; check its rival cap in the trial. For long rival lists, Peec AI and OtterlyAI list unlimited competitors. From 1,000 prompts, OtterlyAI Enterprise is the one plan here quoted at that volume. Profound Enterprise is quoted with no prompt figure, and Semrush Advanced lists unlimited prompts a day.

The Benchmark Protocol For Month-To-Month Comparisons

A benchmark is only useful if this month's number can be compared with last month's. These six steps keep it that way.

1. Fix two competitor sets. Build a board set of 3 to 5 names for executive reporting and an ops set of 10 to 20 names for the working team. The ops set should include AI-native rivals, the brands that show up in answers even when sales does not see them in deals. Find them by running broad discovery prompts, counting every brand named across the answers and keeping the ones that keep appearing. Our guide to competitor alerts for new rivals covers how to catch a new name when it first shows up.
2. Build the prompt library in four intent buckets, then lock it. The buckets are category discovery, consideration or comparison, evaluation, and switching. Tag every prompt with its bucket so awareness wins never get mixed with switching wins. Tools with bulk prompt upload and tagging save the setup time. If you want to test how wording changes the result, do it as a separate exercise with prompt variation testing so the locked list stays untouched.
3. Define a mention in three states. Record each answer as not present, mentioned or recommended, and decide in advance how you count parent company names and implied mentions. A brand named in passing and a brand advised as the pick are different results.
4. Run a baseline month, then re-run on a schedule. Compare 7-day and 28-day rolling averages and call a shift only when it persists across several runs. One run is a single sample of an answer that varies by model, region, wording and time.
5. Label why a rival wins. Every lost prompt gets one of five labels, which are citation, coverage, entity, authority or technical access. Each label points at a different fix, so the label matters more than the score.
6. Fix the reporting cadence. Report weekly for operations and experiments, monthly for the executive summary against the top 3 to 5 rivals, and quarterly for strategic shifts.

For each answer, also capture which brands are listed, which one comes first, and the reasons the model gave. That context turns a mention counter into competitor intelligence.

Citation-Source Analysis: Which Domains Hand Rivals The Win

In AI answers, your brand competes with sources as well as rivals. If the answer cites a top-ten listicle you are missing from, a review directory where a rival has the stronger profile, or a documentation page that names a rival's integration, you can lose without anyone out-writing you.

A rival wins an AI answer for one of five reasons, which are citation, coverage, entity, authority or technical access. Citation-driven wins are found by counting the domains the answer cites.

1. List the cited domains. For every prompt a rival wins, write down each domain the answer cites.
2. Count by domain. Tally the list across all lost prompts so the repeat offenders surface.
3. Sort into types. Group the domains into review sites, listicles, documentation, community threads and press.
4. Build a source target list. The top three domains become the places you need to be listed, reviewed or compared.

Not every plan shows you the citations. OtterlyAI's pricing page lists citation source tracking from the Lite plan, and Profound's pricing page names citations among what it tracks. If you need the full workflow, our guides to citation gap analysis and source discovery tools go further. When citations become an optimisation job in their own right, our Answer Engine Optimization service takes it on.

Turning Lost Prompts Into A Backlog

Every lost prompt gets three fields. They are the rival that won, the reason it won and the single asset that would flip the result. Do that for each loss and the benchmark stops being a scoreboard.

Then group the work into four lists, each with two or three concrete items.

• Content: Comparison pages, best-for pages and integration pages. Our SaaS content marketing programme is where these pages usually get built.
• Authority: Review-site profile upgrades, analyst briefings and original data that earns citations.
• Technical: Structured data cleanup, internal links to money pages and crawl rules for AI bots.
• Narrative: Consistent category language across the homepage, press and profiles.
• Narrative: A single one-line description of what you do, repeated wherever AI answers pull from, so the model stops describing you differently on each source.

End every monthly report with the same rule. Pick 3 defend actions to protect your wins, 3 attack actions to take rival prompts, and 3 expand actions for prompt clusters you are not covering yet.

Competitor Dashboard KPIs For Executive Reporting

An executive competitor report needs five numbers. They are share of AI voice, mention rate, top-three inclusion, sentiment and the change since last month.

Executive KPIs, reviewed monthly:

• Share of AI voice: Your share of mentions against the named rival set.
• Mention rate: The share of prompts where you appear at all.
• Top-three inclusion rate: The share of prompts where you make the shortlist.
• Sentiment index: Net-positive framing against the rival set.
• Trend against last period: The change since the last report.

Operator KPIs, reviewed weekly:

• Prompt-cluster wins and losses: Performance by intent bucket.
• Rival steal list: Prompts where one rival wins repeatedly.
• Citation share: The domains cited most often when rivals win.
• Own citation footprint: How often your domain is cited, and for which prompts.
• Volatility score: How often the answer changes for the same prompt.

Structure the dashboard in five views, which are an overview, engine tabs, prompt clusters, sources and a backlog. For the executive layer, our guide to client-ready reporting shows how to present it.

Country limits depend on the plan. Peec AI's pricing page lists 1 country on Starter and 3 on Pro, so check that before you promise a multi-market view.

Common Mistakes That Spoil Benchmark Data

Running a prompt once and calling the result true is the easiest benchmark mistake to make, because AI answers change between runs, and a single sample is noise. One run can show a false positive or a false negative. Our guide to answer change detection covers how to spot real movement.

• Using prompts that do not match buying behaviour: Build them from sales calls, comparison pages and alternatives searches. Prompts nobody types in real life produce numbers nobody can act on.
• Measuring once: Run prompts on a schedule and use 7-day and 28-day averages. A single reading hides whether a change is real.
• Tracking too many rivals at once: Keep 3 to 5 for the executive story and expand later for the ops detail. A long list in the board report buries the message.
• Confusing being cited with being chosen: Track mentions and citations separately and build a different action for each. A cited source can still send the buyer to a rival.
• Treating the work as a dashboard project: End every report with a backlog that has owners and due dates. Without one, the data is read once and nothing changes.

Next Steps

Shortlist two or three tools against your prompt volume and rival count, run a baseline month on a trial, and compare results against the same prompt list.

1. Shortlist two or three tools: Match them to your prompt volume and rival count.
2. Start the free trial or demo: Use the same locked prompt list on each one.
3. Build a 25-prompt library: Ten discovery, ten comparison and five switching prompts.
4. Run a baseline month: Record the three mention states and compare rolling averages.