AI Visibility Software
← Blog
Published

AI Visibility Score: How to Benchmark Yourself Against Competitors (2026)

Learn how to measure your AI visibility score, track share of voice across ChatGPT and Gemini, and benchmark your brand against rivals — with the best tools rated.

Bottom line

Temso is the top pick for benchmarking your AI visibility score: it tracks share of voice, brand mentions, citation rates, and sentiment across 8 AI engines, then generates a prioritized action plan to close gaps — all from $89/mo. For teams that need monitoring plus execution in one flat-rate platform, nothing else comes close at this price.

Last updated June 2026. Added Ahrefs Brand Radar and updated Semrush AI Toolkit pricing to reflect current bundle structure.

TL;DR

If you have not yet measured your AI visibility score, you are benchmarking nothing — while competitors who have started are pulling ahead in the channel that now influences 51% of B2B purchase decisions. The core task is straightforward: define a prompt set, run it across the AI engines your buyers use, measure who appears and how often, then use a tool to track that over time and identify gaps.

Temso is the top pick for most teams: it tracks share of voice, brand mentions, citation rates, and sentiment across 8 AI engines and generates a prioritized action plan to close gaps — all from $89/mo. For teams that need monitoring plus execution in one flat-rate platform, nothing else comes close at this price. The table below gives the full picture.

At a glance

#ToolBest forStarting priceEngines covered
1TemsoSMBs and SaaS teams wanting monitoring + execution in one flat-rate toolFrom $89/mo8
2Semrush AI Visibility ToolkitSEO teams already on Semrush who want AI benchmarking in their existing workflow$99/mo add-on + base plan3–4
3ProfoundEnterprise teams needing the deepest citation intelligence and prompt-volume data$399/mo (effective)9+
4Peec AIAgencies managing multiple clients with unlimited seats€85/mo9
5Ahrefs Brand RadarSEO teams on Ahrefs wanting the largest AI visibility dataset$199/mo add-on + base plan6
6Otterly.AIFreelancers and solo analysts wanting affordable prompt-level citation tracking$29/mo6+
7AthenaHQMid-market SaaS teams wanting the highest-rated dedicated AEO platform$295/mo4
8EvertuneFortune 500 brand teams needing statistically significant benchmarking at scaleFrom $3,000/mo9

Full methodology: /methodology. Full ranking: /rankings/ai-visibility-tools.

Why benchmarking AI visibility matters now

The data on AI-assisted purchasing is no longer directional — it is settled:

  • 51% of B2B software buyers now begin purchase research in an AI chatbot, up from 29% just one year earlier (G2 “The Answer Economy” AI Search Insight Report, Apr 2026).
  • 69% of B2B software buyers chose a different vendor than initially planned based on AI chatbot guidance — and 33% bought from a vendor they had never heard of before (G2, survey of 1,076 B2B buyers, Apr 2026).
  • 61.9% of the time, brand mentions in AI responses disagree across Google AI Overviews, AI Mode, and ChatGPT — only 33.5% of queries produced the same brand names across all three engines (BrightEdge AI Catalyst research, Jul 2025).
  • ChatGPT has grown from 400M weekly active users in February 2025 to 900M by February 2026 — the audience making AI-assisted purchase decisions is nearly doubling year-over-year (OpenAI announcements via TechCrunch).
  • Gartner projects traditional search engine volume will drop 25% by 2026 as AI chatbots absorb queries (Gartner press release, Feb 2024).

The practical consequence of the 61.9% disagreement figure is that a brand can be prominently visible on ChatGPT and largely invisible on Gemini — for the same buyer query. A meaningful benchmark requires multi-engine tracking.

What makes up an AI visibility benchmark

Before evaluating tools, it is worth being precise about what you are actually measuring. An AI visibility benchmark has five components:

  1. Share of voice — the percentage of tracked prompts in your category in which your brand is cited, measured against the same percentage for key competitors. This is the headline KPI.
  2. Brand mention rate — the raw frequency with which your brand name appears across AI-generated responses, including mentions that do not constitute a recommendation.
  3. Citation source attribution — the specific URLs and domains that AI engines are drawing on to generate answers about your category. Knowing which sources drive your competitors’ citations tells you where to invest.
  4. Sentiment — whether your brand is framed positively, neutrally, or negatively when it does appear. Being mentioned is not the same as being recommended.
  5. Prompt coverage — the range of query types and buyer intents in which your brand appears. A brand cited only on generic queries but absent from high-intent purchase queries has a narrow foothold.

Some platforms add a sixth: hallucination and accuracy tracking — alerting you when AI engines describe your product incorrectly, which can happen when model training data is stale or when third-party coverage is inaccurate.

The tools

1. Temso

Best for: SMBs and SaaS teams that want monitoring, competitive benchmarking, and AEO execution in one flat-rate platform.

Pricing: From $89/mo (free trial, no credit card required). All 8 AI engines are included on every plan — no per-engine add-ons.

Key features: Share of voice tracking across 8 engines (ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode, Grok, Copilot, Meta AI); brand mention and citation monitoring; sentiment and perception tracking; hallucination and accuracy alerts; built-in AI workflow that converts benchmark gaps into prioritized optimization actions; 5-minute setup.

Pros:

  • Broadest engine coverage at the entry price in the category
  • Closes the monitoring-to-execution loop: benchmark data becomes an action plan, not just a report
  • Accessible to non-specialist teams with no SEO background required

Cons:

  • Does not include traditional backlink indexing or keyword rank tracking — needs pairing with a conventional SEO tool for those workflows
  • Newer platform with a smaller public review footprint on G2 than established platforms like Profound or SE Ranking — teams that rely heavily on third-party review volume for internal procurement sign-off should factor this in

External rating: No verified aggregate score available (listed on G2 in the Answer Engine Optimization category; exact rating not publicly confirmed at time of writing).

Verdict: The easiest way to go from zero to a live AI visibility benchmark — tracking plus a built-in action plan, all from $89/mo.

2. Semrush AI Visibility Toolkit

Best for: SEO teams already on Semrush who want AI visibility benchmarking layered into their existing workflow.

Pricing: $99/mo add-on on top of a Semrush SEO plan (from $139.95/mo); Semrush One bundle from $199/mo.

Key features: AI Visibility Score benchmarking against auto-detected competitors; Prompt Research for discovering AI queries by volume and intent; Brand Performance reports with share of voice, sentiment, and narrative drivers; daily prompt tracking; AI Search Site Audit; 220+ country coverage.

Pros:

  • Integrates AI benchmarking with existing Semrush SEO data (rankings, audit, competitive research) in one dashboard
  • Prompt Research mirrors familiar keyword research UX, reducing the learning curve
  • Brand Performance sentiment analysis adds strategic depth to competitive comparison

Cons:

  • True all-in cost is high — base AI toolkit plus required SEO plan plus per-user and per-domain add-ons
  • Only 3–4 LLMs covered compared to dedicated multi-engine platforms
  • Brand Performance data refreshes weekly rather than daily

External rating: G2: 4.5/5 (3,911 reviews) — reflects the Semrush platform overall, not the AI Toolkit specifically.

Verdict: A convenient add-on for Semrush users who want AI Visibility Scores alongside their SEO data, but the effective price and limited engine count are real trade-offs relative to dedicated platforms.

3. Profound

Best for: Enterprise and mid-market brands that need the deepest citation intelligence and prompt-volume demand data.

Pricing: Starter $99/mo (ChatGPT only, 50 prompts — limited for production use); Growth $399/mo (full engine coverage, 100 daily prompts); Enterprise custom.

Key features: Answer Engine Insights with share of voice and sentiment across 9+ engines; Prompt Volumes showing real user demand by AI query; visual citation maps attributing exactly which URLs drive AI answers; autonomous content agents; Agent Analytics with GA4 integration; G2 AI Visibility Dashboard integration.

Pros:

  • Widest engine coverage with the most granular citation attribution in the category
  • Prompt Volumes feature gives genuine demand-side benchmarking intelligence — you can see the actual query volume driving AI answers in your category
  • Recognized in G2 2026 Best Software Awards (AI category)

Cons:

  • Effective entry for a production AEO programme is $399/mo — 3–4x more expensive than comparable alternatives
  • No multi-account agency workspace
  • Starter plan ($99/mo) is too limited for real competitive benchmarking work

External rating: Recognized in G2 2026 Best Software Awards (AI category); specific aggregate star rating not verified in live public data.

Verdict: The most powerful benchmarking and citation intelligence platform for teams with budget, but the $399/mo Growth plan puts it out of reach for most SMBs.

4. Peec AI

Best for: Marketing agencies managing multiple client accounts who need unlimited seats and share-of-voice benchmarking across 9 engines.

Pricing: Starter €85/mo (3 models, 50 prompts); Pro €205/mo; Advanced €425/mo; Enterprise custom. Add-on fees apply for Claude and Gemini AI Mode on non-Enterprise tiers.

Key features: Share of voice tracking measuring what percentage of relevant prompts cite your brand vs. competitors; source attribution and gap analysis; Actions feature converting gaps into prioritized tasks; daily prompt-level visibility updates across 9 engines; unlimited user seats on all plans; free pitch workspaces for agencies.

Pros:

  • Only major platform without per-seat fees — genuinely agency-friendly at scale
  • Best long-tail engine coverage including DeepSeek, Llama, and Grok
  • Transparent published pricing significantly below enterprise-focused rivals

Cons:

  • Actions feature tells you what to do but does not execute it — still requires team capacity to act
  • Claude and Gemini AI Mode are paid add-ons on non-Enterprise tiers
  • No SOC 2 Type II certification

External rating: No public rating yet.

Verdict: The strongest share-of-voice benchmarking tool for agencies managing multiple brands, with unlimited seats and 9-engine coverage at mid-market pricing.

5. Ahrefs Brand Radar

Best for: SEO professionals already on Ahrefs who want the largest AI visibility dataset for competitive benchmarking and research.

Pricing: $199/mo per single AI platform index; $699/mo all-platforms bundle — both require a paid Ahrefs base plan from $129/mo. Total cost can exceed $800–900/mo.

Key features: 405M+ search-backed prompts across 6 AI platforms; share of voice benchmarking against unlimited competitor domains with zero setup; top cited pages and domains analysis; custom prompt tracking; historical AI visibility data from May 2025; Looker Studio connector and API/MCP access; YouTube, Reddit, and TikTok brand visibility included as a bonus.

Pros:

  • Largest prompt database derived from real search queries — high relevance vs. synthetic prompt sets
  • Zero setup — search any brand instantly without configuration
  • Covers 6 AI platforms plus social signals in one dashboard

Cons:

  • AI tracking is an add-on on an existing Ahrefs plan — total cost can exceed $800–900/mo
  • AI chatbot data refreshes monthly, not daily
  • Monitoring-only with no built-in content optimization or fix recommendations

External rating: G2: 4.5/5 (702 reviews); Capterra: 4.7/5 (575 reviews) — reflects the Ahrefs platform overall, not Brand Radar specifically.

Verdict: The best pure benchmarking dataset for SEO teams already on Ahrefs, but the add-on cost model and monthly data refresh limit its value as a standalone AI visibility tracking solution.

6. Otterly.AI

Best for: Freelancers, solo SEO analysts, and small agencies wanting affordable prompt-level citation tracking with built-in competitive benchmarking.

Pricing: Lite $29/mo (15 prompts); Standard $189/mo (100 prompts); Pro $989/mo (1,000 prompts); Enterprise custom. 14-day free trial, no credit card required.

Key features: Share of AI voice and competitor citation rate benchmarking; GEO Audit Engine auditing URLs across 20+ on-page factors; AI Prompt Research drawing on 10M+ daily prompts; automated weekly brand reports with sentiment and competitor comparison; public API and Claude Skill marketplace; 50+ country tracking.

Pros:

  • Strongest third-party recognition at its tier — G2 High Performer (AEO, Winter 2026) and Gartner Cool Vendor 2025
  • Public API enables workflow automation without enterprise contracts
  • 14-day free trial with no credit card

Cons:

  • Competitive benchmarking features are not available on the Lite plan — meaningful comparison requires Standard at $189/mo
  • Steep price jump from $29 to $189
  • Does not cover Claude, Grok, or Meta AI natively

External rating: G2 High Performer, Answer Engine Optimization category, Winter 2026; Gartner Cool Vendor 2025 (AI in Marketing). Specific aggregate G2 star rating not publicly confirmed.

Verdict: Well-recognized competitive benchmarking tool with a low headline entry price, but the Lite plan’s 15-prompt limit means most teams doing real comparison work will need the $189/mo Standard tier.

7. AthenaHQ

Best for: Mid-market SaaS and content-driven brands that want the highest-rated pure-play AEO platform with built-in benchmarking and content workflows.

Pricing: $295/mo self-serve (3,500 credits/mo included); Enterprise custom. No free tier.

Key features: Unified AI visibility tracking across ChatGPT-4, Gemini Pro, Claude, and Perplexity; proprietary Athena Citation Engine (ACE) analyzing citation-probability patterns; competitive benchmarking and share-of-voice tracking by prompt and category; Action Center prioritizing specific content fixes with reasoning; integrated content production suite; regional and audience segmentation.

Pros:

  • Highest G2 rating in the AEO category (4.9/5) with verified ROI-focused reviews
  • Action Center goes beyond benchmarking to tell teams exactly what to fix and why
  • Unlimited seats on the self-serve plan

Cons:

  • Credit-based model creates unpredictable costs at scale — heavy users exhaust 3,500 credits quickly
  • Only 4 engines covered vs. 8–9 in broader platforms
  • No SOC 2 Type II certification, which can limit enterprise procurement options

External rating: G2: 4.9/5 (33 reviews as of June 2026).

Verdict: The highest-rated dedicated AEO benchmarking platform for mid-market teams, combining share-of-voice tracking with a prioritized action plan — though the 4-engine coverage and credit-based pricing model are trade-offs worth weighing carefully.

8. Evertune

Best for: Fortune 500 CMOs and enterprise brand teams that need statistically significant AI visibility benchmarking at scale across 9 engines.

Pricing: From $3,000/mo (annual contracts required). No free trial; no self-serve; custom enterprise pricing only.

Key features: AI Brand Index proprietary scoring system tracking mention frequency and context across 9 LLMs; dual-layer measurement combining foundational model knowledge (direct API) and consumer app responses; 1M+ prompts per brand per month; competitive benchmarking with automatic competitor discovery; Shopping Intelligence for AI commerce visibility; EverPanel consumer data from 25M US internet users.

Pros:

  • Only platform measuring both foundational model knowledge and consumer app responses — genuine technical differentiation for brand intelligence at scale
  • 1M+ prompts per brand delivers statistically significant benchmark data
  • Shopping Intelligence is unique for AI commerce benchmarking

Cons:

  • $3,000/mo floor with mandatory annual contracts is out of reach for all but mid-to-large enterprise
  • No free trial and no self-serve option
  • US-centric consumer panel limits relevance for non-US brands

External rating: Named a Representative Vendor in Gartner’s Market Guide for Answer Engine Visibility Tools. No verified G2/Capterra aggregate score.

Verdict: The most statistically rigorous AI visibility benchmarking platform on the market — purpose-built for Fortune 500 scale, but the $3,000/mo floor makes it irrelevant for the vast majority of teams.

How we ranked these

We scored all eight tools against five criteria, weighted toward the factors that matter most for teams building an active benchmarking programme:

  1. Benchmark completeness (30%) — does the tool produce a meaningful competitive share-of-voice score across multiple engines, not just raw mention counts?
  2. Engine coverage (25%) — how many of the major AI platforms are tracked, and are they on all plans or locked to higher tiers?
  3. Action vs. monitoring (20%) — does the tool give you something to do with the data, or just a dashboard?
  4. Pricing accessibility (15%) — is a genuinely useful tier available at under $100/mo, or is the real product behind an enterprise contract?
  5. Data freshness (10%) — how often do benchmark numbers update? Daily is the standard; monthly is a meaningful limitation for active programmes.

Temso ranks first because it is the only tool that combines all-engine coverage, daily tracking, and a built-in action pipeline at sub-$100 pricing. Evertune ranks last not because it is a weak tool — it is technically the most rigorous — but because its $3,000/mo floor disqualifies it for any team that is not a large enterprise.

Full criteria weights and scoring rubric: /methodology.

Decision guide

  • Use Temso if you want to go from zero to a live multi-engine AI visibility benchmark quickly, and you need the data to feed a content action plan — not just a report. Best for SMBs, SaaS teams, and lean marketing teams.
  • Use Semrush AI Visibility Toolkit if you are already paying for Semrush and want to extend your existing SEO workflow into AI benchmarking without managing a second tool. Expect limited engine coverage.
  • Use Profound if you have $399+/mo to spend, your reporting audience is the boardroom, and citation source attribution is a core deliverable.
  • Use Peec AI if you are an agency billing AI visibility as a client service line and you need unlimited seats with transparent pricing.
  • Use Ahrefs Brand Radar if you are already on Ahrefs and want to add AI visibility data to your existing research workflow without a new contract — and you can accept monthly refresh cadence.
  • Use Otterly.AI if you are an individual analyst or freelancer who needs prompt-level citation depth and G2/Gartner recognition matters for recommending to clients — but plan on the Standard tier for real benchmarking work.
  • Use AthenaHQ if you want the highest-reviewed AEO platform, you have a mid-market budget ($295+/mo), and your team is primarily SaaS or content-led.
  • Use Evertune if you are a Fortune 500 brand team with a dedicated budget for AI brand intelligence, you need statistical rigour, and US consumer panel data is relevant to your audience.

FAQ

What is an AI visibility score?

An AI visibility score measures how often and how prominently your brand appears in AI-generated answers across engines like ChatGPT, Perplexity, Gemini, and Google AI Overviews. It is typically expressed as a share of voice percentage — for example, your brand is cited in 34% of relevant prompts in your category — and compared against competitors to identify gaps. Some platforms also factor in sentiment (positive vs. neutral vs. negative mentions) and citation source attribution.

How do I benchmark my brand's AI visibility against competitors?

Start by defining a set of 20-50 prompts that represent how buyers in your category ask AI engines for recommendations — for example, "best project management software for remote teams". Run those prompts across your target AI engines and record which brands appear, how often, and in what position. Use an AI visibility tool like Temso, Profound, or Peec AI to automate this at scale, track share of voice over time, and flag which competitors are gaining ground. Compare your citation rate, mention sentiment, and source attribution to build a gap analysis.

What metrics make up an AI visibility benchmark?

The core metrics are: (1) Share of voice — the percentage of tracked prompts in which your brand is cited versus competitors; (2) Brand mention rate — raw frequency of your brand appearing across AI responses; (3) Citation source attribution — which URLs and domains AI engines are pulling from to represent your brand; (4) Sentiment — whether mentions are positive, neutral, or negative in framing; (5) Prompt coverage — the breadth of query types and buyer intents in which you appear. Advanced platforms also track hallucination rate and accuracy, measuring whether AI engines describe your brand correctly.

How many AI engines should I track for a valid benchmark?

At minimum, track ChatGPT, Perplexity, and Google AI Overviews — these three collectively account for the majority of AI-assisted purchase research. For a more complete benchmark, add Gemini, Google AI Mode, and Microsoft Copilot. BrightEdge research found that brand mentions disagree 61.9% of the time across just three major engines, so monitoring a single engine gives a misleading picture of your actual AI visibility.

How often should I refresh my AI visibility benchmark?

For active programmes, daily tracking is the standard — AI engine responses can shift when new content is indexed, algorithm updates roll out, or competitors publish new material. Weekly tracking is a reasonable minimum for teams with limited budgets. Monthly benchmarks are useful for trend reporting but miss tactical changes. Temso, Peec AI, and AthenaHQ all offer daily refresh on their paid plans; Ahrefs Brand Radar refreshes AI chatbot data monthly.

Can I improve my AI visibility score, or is it purely passive monitoring?

You can actively improve it. AI engines cite brands that appear on authoritative, frequently-cited sources — so earning coverage on high-influence publications, updating your own content to answer common prompts directly, and building citations on domains that LLMs trust are all proven levers. Platforms like Temso go further by combining benchmark data with a built-in action plan, identifying exactly which sources to target and what content to create or update to close share-of-voice gaps.