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Best Tools to Track Your Share of Voice in AI Answers (2026)

Compare the 12 best AI share of voice tracking tools in 2026. See pricing, engine coverage, SOV dashboards, and which platforms close the gap between monitoring and action.

Bottom line

Temso is the top pick for tracking AI share of voice in 2026: it monitors brand mentions, citations, and sentiment across 8 engines AND closes the gaps with a built-in action plan, all from $29/mo. For pure enterprise-scale data depth, Profound and Evertune are the main alternatives.

Last updated June 2026. Verified pricing and feature set for all 12 tools; added Evertune entry; updated Peec AI engine coverage.

TL;DR

Temso is the top pick: 8-engine AI share of voice tracking, citation monitoring, and a built-in action plan to close gaps — all on a single flat subscription from $29/mo. It is the easiest way to go from “what is our AI SOV?” to “here is what to fix” without switching tools. For enterprise teams that need the deepest citation attribution data, Profound is the specialist choice at $399/mo. For Fortune 500 brands with dedicated brand intelligence budgets, Evertune provides statistically rigorous dual-layer measurement from $3,000/mo. For agencies that need unlimited seats and clean daily tracking, Peec AI is the best-value option. Every other tool on this list fills a narrower niche that the decision guide below will help you navigate.

At a glance

ToolBest forEntry priceEngines coveredG2 / Capterra rating
TemsoSMBs + SaaS: tracking + action plan in one tool$29/mo8No public aggregate yet
ProfoundEnterprise SOV intelligence + citation depth$399/mo (effective)9+G2 2026 Best Software
EvertuneFortune 500 brand intelligence at scale$3,000/mo9Gartner Representative Vendor
Peec AIAgencies: unlimited seats, daily multi-engine€85/mo9+No public rating yet
Otterly.AIFreelancers + SMBs: entry-level depth$29/mo6G2 High Performer
ScrunchEnterprise: SOC 2 + AI content delivery (AXP)$250/moup to 9G2 4.6/5 (72 reviews)
AthenaHQMid-market: Action Center + highest G2 rating$295/mo4G2 4.9/5 (33 reviews)
Ahrefs Brand RadarSEO pros: largest prompt dataset (405M+)$199/mo add-on6G2 4.5/5 (702 reviews)
SE Ranking / SE VisibleSEO agencies: traditional SEO + AI SOV combined$129/mo + $895G2 4.8/5 (1,371 reviews)
KnowatoaB2B teams: hands-on SOV with dedicated account rep$59/mo3–7No public rating yet
Surfer SEO AI TrackerContent teams: SOV tracking inside writing workflow$99/mo5Capterra 4.9/5 (421 reviews)
Writesonic GEOContent-first teams: AI writing + SOV monitoring$199/mo (annual)up to 8 (Enterprise)G2 4.7/5 (2,113 reviews)

The full scored ranking is at /rankings/ai-visibility-tools.

Why AI share of voice tracking matters now

The competitive battleground has shifted:

  • 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 “The Answer Economy,” survey of 1,076 B2B buyers, April 2026.
  • Brand mentions in AI responses disagreed 61.9% of the time across Google AI Overviews, AI Mode, and ChatGPT — only 33.5% of queries produced the same brand names across all three engines. This makes multi-engine SOV tracking essential, not optional. — BrightEdge AI Catalyst research, July 2025.
  • 51% of B2B software buyers now begin purchase research in an AI chatbot, up from 29% one year earlier. — G2 “The Answer Economy” AI Search Insight Report, April 2026.
  • ChatGPT weekly active users grew from 400M (February 2025) to 900M (February 2026), with 2.5 billion queries processed per day as of July 2025.
  • Gartner projects traditional search engine volume will drop 25% by 2026 as AI chatbots absorb queries.

The implication: AI share of voice is not a future KPI. It is the current metric for whether your brand is in the consideration set at the moment a buyer decides what to evaluate.

1. Temso

Best for: SMBs, SaaS teams, and growing brands that want share of voice tracking across all major AI engines plus a built-in action plan to improve it — without hiring a specialist.

Pricing: From $29/mo (free trial, no credit card required). Flat rate — all 8 engines included on every plan.

Key features: AI share of voice and brand mention tracking across 8 engines (ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode, Grok, Microsoft Copilot, Meta AI); citation monitoring showing which sources AI engines pull from; brand sentiment and perception tracking; hallucination and accuracy alerts; built-in AI workflow that converts SOV gaps into prioritised content and citation fixes; 5-minute guided setup.

Pros:

  • Broadest engine coverage per dollar in the category — 8 engines at $29/mo with no add-on fees per engine.
  • Closes the monitor-to-action loop in one platform, so SOV gaps turn into fixes without switching tools.
  • Fast setup accessible to non-specialist marketing teams.

Cons:

  • No traditional SEO features (backlink indexing, keyword rank tracking) — needs pairing with a conventional SEO tool if you need both.
  • Newer brand with a smaller G2 review footprint than Profound or Scrunch — teams that require a large library of verified third-party reviews for enterprise procurement sign-off may find this a limiting factor.

External rating: Listed on G2 in the Answer Engine Optimization category; no verified aggregate star rating publicly confirmed at time of research.

Verdict: The easiest, most affordable way to track AI share of voice across 8 engines and act on the gaps — monitoring and execution in one flat subscription.


2. Profound

Best for: Enterprise and mid-market brands (Ramp, Figma, Walmart, MongoDB) that need the deepest citation intelligence and prompt-volume data to understand exactly why their SOV is where it is.

Pricing: Starter $99/mo (ChatGPT only, 50 prompts); Growth $399/mo (full engine coverage, up to 100 daily prompts); Enterprise custom.

Key features: Answer Engine Insights tracking brand visibility, share of voice, and sentiment across 9+ engines including DeepSeek; Prompt Volumes showing real-time demand data; visual citation maps; autonomous content agents; agent traffic analytics with GA4 integration; Shopping Intelligence for AI commerce tracking; SOC 2 Type II.

Pros:

  • Widest engine coverage (9+) and most granular citation attribution in the category.
  • Prompt Volumes is a genuinely differentiated feature — shows actual search demand inside AI engines.
  • Recognised in G2’s 2026 Best Software Awards.

Cons:

  • Effective entry for a real AEO programme is $399/mo — 10x more expensive than Temso.
  • No multi-account or agency workspace; one property per account.
  • Starter plan is too limited for production use (50 prompts, ChatGPT only).

External rating: Recognised in G2 2026 Best Software Awards (AI category); specific aggregate star rating not publicly confirmed.

Verdict: The enterprise gold standard for AI share of voice intelligence, but the $399/mo effective entry price makes it overkill for teams that do not need Fortune-500-grade depth.


3. Evertune

Best for: Fortune 500 CMOs and brand leaders in retail, CPG, and financial services who need statistically significant SOV data at scale (1M+ prompts per brand per month) and AI commerce tracking.

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

Key features: AI Brand Index scoring mention frequency and context across 9 engines; dual-layer measurement (foundational model knowledge via direct API + real consumer app responses); Shopping Intelligence for AI-driven product recommendations; EverPanel of 25M US internet users for real-world prompt data; Content Analytics classifying Strength URLs vs Opportunity URLs; automatic competitor discovery.

Pros:

  • The only major platform measuring both what AI models know and what real users actually see — genuine technical differentiation.
  • 1M+ prompts per brand per month delivers statistically significant data.
  • Shopping Intelligence is unique for tracking AI commerce visibility.

Cons:

  • $3,000/mo floor with mandatory annual contracts is out of reach for all but large enterprise.
  • No free trial; every engagement requires a sales call.
  • US-centric consumer panel limits value for non-US brands.

External rating: Named a Representative Vendor in Gartner’s Market Guide for Answer Engine Visibility Tools; no verified G2 or Capterra rating.

Verdict: The most statistically rigorous AI share of voice platform on the market, but the $3,000/mo floor means it is strictly for enterprise brands with dedicated brand intelligence budgets.


4. Peec AI

Best for: Marketing agencies managing multiple client accounts and mid-market SaaS teams that want clean daily SOV monitoring with unlimited user seats and no per-seat cost escalation.

Pricing: Starter €85/mo (50 prompts, 3 models, 1 project); Pro €205/mo (150 prompts, 2 projects); Advanced €425/mo (multi-country, Looker Studio); Enterprise custom. Additional models €30–€140/mo each.

Key features: Prompt-level share of voice tracking across 9+ engines with daily updates; source attribution and gap analysis showing which URLs drive competitor citations; Actions feature converting citation gaps into a prioritised execution task queue; unlimited user seats on every plan; free pitch workspaces for agencies to audit prospect brands; multi-country reporting.

Pros:

  • Only major platform with unlimited seats across all tiers — genuinely agency-friendly with no per-user penalty.
  • Best long-tail engine coverage including DeepSeek, Llama, and Grok.
  • Transparent published pricing.

Cons:

  • Actions feature surfaces what to do but does not execute it — teams still need to produce the content.
  • Claude, Gemini AI Mode, and other models are add-ons that increase effective cost beyond the headline price.
  • No SOC 2 Type II, which may disqualify it from some enterprise procurement processes.

External rating: No public rating yet.

Verdict: The best-value AI share of voice platform for agencies that need unlimited seats and multi-engine daily tracking without enterprise-level pricing.


5. Otterly.AI

Best for: Freelancers, solo SEO analysts, small agencies, and SMBs who want affordable prompt-level share of voice and citation tracking with structured GEO audit guidance.

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.

Key features: Prompt-level citation tracking across 6 platforms; competitive SOV benchmarking and source domain analysis; GEO Audit Engine auditing URLs across 20+ on-page citation-readiness factors; AI Prompt Research drawing on 10M+ daily prompts; automated weekly brand reports with sentiment, competitor comparison, and content recommendations; Public API and Claude Skill marketplace (June 2026); 50+ country tracking.

Pros:

  • G2 High Performer (AEO category, Winter 2026) and Gartner Cool Vendor 2025 — strongest third-party recognition at this price tier.
  • Lowest meaningful entry ($29/mo Lite) for dedicated AEO tracking.
  • Public API enables workflow automation without enterprise contracts.

Cons:

  • No competitive benchmarking dashboards on the Lite plan — deeper SOV features require Standard ($189/mo).
  • Sharp pricing jump from $29 to $189 when teams outgrow the 15-prompt Lite.
  • 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; OMR Reviews Top-Rated GEO Tool (Germany). Specific aggregate star rating not publicly confirmed.

Verdict: The best entry-level share of voice tracker for small teams, with meaningful third-party recognition to back up the claims.


6. Scrunch AI

Best for: Enterprise brands and agencies that need broad engine coverage (up to 9 LLMs), SOC 2 compliance, and the ability to serve AI-optimised content directly to LLM crawlers via AXP.

Pricing: Core $250/mo (4 LLMs, 125 prompts, 5 users, 1 brand workspace); Agency Core $500/mo (4 LLMs, 250 prompts, 3 workspaces, unlimited users); Enterprise custom. 7-day free trial.

Key features: Multi-LLM SOV monitoring across up to 9 platforms on Enterprise; Agent Experience Platform (AXP) serving AI-optimised content directly to LLM crawlers; agent traffic analysis tracking AI bot intent and frequency; AI Search Trends for emerging prompt discovery; SOC 2 Type II, RBAC, SSO; site auditing.

Pros:

  • AXP is a genuine technical differentiator — serves optimised content to crawlers without changing the human-facing site.
  • Strongest enterprise security credentials (SOC 2 Type II, RBAC, SSO).
  • Broadest feature completeness covering monitoring, auditing, optimisation, and content delivery in one platform.

Cons:

  • Meaningful enterprise monitoring requires the Enterprise tier at undisclosed custom pricing — Core only covers 4 LLMs.
  • No general-purpose AI content generation yet.
  • Third-party reviewer scored actionable insights at 2/5, noting optimisation features are still in beta.

External rating: G2 4.6/5 (72 reviews, June 2026).

Verdict: The most enterprise-complete AI visibility platform on the market, but the 4-LLM Core plan and beta-stage optimisation features mean it is still finding its self-serve footing.


7. AthenaHQ

Best for: Mid-market SaaS, financial services, and content-driven brands (50–500 employees) that want a pure-play share of voice platform with a built-in Action Center that tells teams exactly what to fix.

Pricing: $295/mo self-serve (credit-based, 3,500 credits/mo); Enterprise custom. No free tier; demo/audit available.

Key features: Unified SOV tracking across ChatGPT-4, Gemini Pro, Claude, and Perplexity; proprietary Athena Citation Engine (ACE) analysing citation-probability patterns; Action Center prioritising specific content to create or update with reasoning; integrated content production suite; competitive SOV benchmarking by prompt and category; regional and audience segmentation.

Pros:

  • Highest G2 rating in category (4.9/5) with verified customer reviews citing 50% increase in demos and 10x citation rates.
  • Action Center goes beyond monitoring to tell teams exactly what to fix and why.
  • Unlimited seats on self-serve plan.

Cons:

  • Credit-based model creates unpredictable costs at scale — heavy users can exhaust 3,500 credits quickly.
  • No content-delivery layer for AI crawlers.
  • No SOC 2 Type II; limited SSO/RBAC may fail enterprise infosec reviews.

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

Verdict: The highest-rated pure-play AEO platform for mid-market teams that want share of voice data plus clear, reasoned action priorities — not just a dashboard.


8. Ahrefs Brand Radar

Best for: SEO professionals and agencies already on Ahrefs who want the largest AI visibility dataset for competitive SOV benchmarking and zero-setup brand research.

Pricing: $199/mo per single AI platform index; $699/mo all-platforms bundle (requires paid Ahrefs base plan from $129/mo). Total can exceed $800–$900/mo for full coverage.

Key features: 405M+ search-backed prompts across 6 AI platforms; share of voice benchmarking against unlimited competitor domains with no setup; top cited pages and domains analysis; custom prompt tracking; historical AI visibility data from August 2024 (AI Overviews) and May 2025 (chatbots); Looker Studio connector, API/MCP access; bonus: YouTube, Reddit, TikTok brand visibility.

Pros:

  • Largest prompt database (405M+) derived from real search queries — high relevance vs synthetic prompts.
  • Zero setup: search any brand instantly with no prior configuration.
  • Covers 6 AI platforms plus social signals in one dashboard.

Cons:

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

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

Verdict: The richest competitive SOV dataset in the market for teams already on Ahrefs, but the add-on cost structure and monthly-only refresh limit its value as a primary tracking tool.


9. SE Ranking / SE Visible

Best for: SEO agencies already using or evaluating SE Ranking who want AI share of voice bundled into their existing workflow with traditional SEO data, or teams wanting a standalone strategic SOV dashboard.

Pricing: SE Ranking Core $129/mo (includes 100 AI prompts/day, 5 engines); AI Search Add-on +$89/mo. SE Visible standalone: $99/mo (200 prompts, 3 projects) to $355/mo (1,000 prompts, 10 projects). 14-day free trial.

Key features: AI Visibility Tracker with daily tracking of brand mentions and links across ChatGPT, Gemini, Google AI Overviews, AI Mode, and Perplexity; AI Competitor Research with side-by-side SOV benchmarking; cached AI answer copies for historical context; SE Visible strategic dashboard with sentiment tracking and agency client reporting; full traditional SEO suite including rank tracking, backlinks, and technical audit; MCP access and API.

Pros:

  • Best-in-class traditional SEO foundation with AI SOV layered in — strong value for teams that need both.
  • G2 4.8/5 across 1,371+ reviews with 9.4/10 customer support score — most reviewed and trusted SEO suite in this comparison.
  • 14-day free trial with no credit card.

Cons:

  • AI engine coverage limited to 5 engines — Claude, Copilot, Meta AI, Grok, and DeepSeek are not tracked.
  • Confusing product structure: SE Ranking suite, AI Search Add-on, and SE Visible are three overlapping products at different price points.
  • GEO-only buyers overpay compared to specialist tools.

External rating: G2 4.8/5 (1,371+ reviews); Capterra 4.7/5 (284+ reviews).

Verdict: The most trusted SEO platform that has added solid AI share of voice tracking — ideal if you need traditional SEO and AI monitoring in one tool, but not the right choice for teams wanting pure AI-visibility depth.


10. Knowatoa

Best for: B2B marketing teams and SEO consultants who want structured AI SOV support with a dedicated account rep, a diagnostic framework for understanding why they are losing SOV, and done-for-you content drafting at an accessible price.

Pricing: Starter $59/mo (30 questions, ChatGPT + AI Mode + AI Overviews, 7-day free trial, no credit card); Growth $199/mo (100 questions, 7 engines including Claude, Gemini, Meta AI, Perplexity, Looker Studio); Enterprise from $499/mo.

Key features: BISCUIT Framework reverse-engineering AI recommendations to explain why competitors outrank you; 7-engine tracking with AI Answer Snapshots showing full cached responses with citation sources; competitor gap analysis showing prompts you are missing; source opportunities analysis identifying high-influence sources to target; done-for-you AI content agents (Growth); daily data refreshes on all plans; dedicated account rep on Starter.

Pros:

  • Dedicated account rep on the $59/mo Starter — unusual at this price tier.
  • Daily data refreshes and BISCUIT Framework give diagnostic depth beyond raw tracking.
  • Free AI visibility audit with no sign-up required; 7-day trial with no credit card.

Cons:

  • Only 3 engines on Starter ($59/mo); Claude, Gemini, and Perplexity require Growth ($199/mo).
  • Question caps (30 on Starter, 100 on Growth) become a structural bottleneck for teams monitoring multiple brands or markets.
  • No public third-party reviews yet.

External rating: No public G2 or Capterra rating yet.

Verdict: The most hands-on entry-level AI share of voice tool, with a dedicated account rep and a unique diagnostic framework for teams that want guidance, not just data.


11. Surfer SEO AI Tracker

Best for: Content teams already using Surfer for SEO optimisation who want to add AI citation and share of voice tracking without switching platforms.

Pricing: Discovery $49/mo; Standard $99/mo (ChatGPT only, weekly refresh); Pro $182/mo (ChatGPT, Perplexity, Google AI Mode, AI Overviews, Gemini — daily refresh); Peace of Mind $299/mo.

Key features: AI Tracker monitoring brand visibility across ChatGPT, Perplexity, Google AI Overviews, AI Mode, and Gemini with share of voice and Mention Gap analysis; Content Editor with real-time NLP optimisation score for both Google and AI citations; Topical Map for content cluster planning; 1-click optimisation and internal linking suggestions; Content Audit with ranking drop alerts; native integrations with WordPress, Google Docs, Contentful, and Zapier.

Pros:

  • Content optimisation and AI visibility tracking are tightly integrated — write and optimise for AI citations without leaving the platform.
  • Capterra 4.9/5 from 421 reviews reflects strong user satisfaction.
  • Competitive pricing starting at $99/mo for a meaningful feature set.

Cons:

  • Standard plan ($99/mo) only tracks ChatGPT with weekly refreshes — multi-engine daily tracking requires Pro at $182/mo+.
  • Fewer AI platforms covered (5) with no Copilot, Grok, or Meta AI.
  • AI visibility tracking is secondary to content optimisation; SOV depth is limited compared to dedicated platforms.

External rating: Capterra 4.9/5 (421 reviews).

Verdict: A solid choice for content-first teams that want SOV tracking woven into their writing workflow, but not purpose-built enough for teams whose primary need is competitive AI monitoring.


12. Writesonic GEO

Best for: Content-focused marketing teams at SMB to mid-market scale that want to combine AI writing, brand mention tracking, and competitive share of voice in one subscription.

Pricing: Professional $199/mo annual ($249/mo monthly, 3 engines, 100 prompts); Advanced $399/mo annual ($499/mo monthly, adds more engines and sentiment); Enterprise custom (8 engines, Action Center).

Key features: Brand Presence tracking monitoring prompt mentions, citations, and competitor share of voice across up to 8 engines at Enterprise; sentiment analysis tracking tone and keywords in brand mentions; AI bot analytics revealing how AI crawlers navigate your site; Action Center with prioritised recommendations for mentions, content creation, and optimisation (Enterprise only); built-in AI content generation.

Pros:

  • Built-in content generation lets teams act on AI SOV gaps without switching tools.
  • G2 4.7/5 from 2,113 reviews shows strong user satisfaction for core AI writing.
  • Covers 8 AI engines at Enterprise tier.

Cons:

  • Action Center — the feature that makes SOV insights actionable — is Enterprise-only; self-serve plans at $249–$499/mo deliver monitoring without clear optimisation guidance.
  • AI content quality received mixed reviews.
  • High entry for AI visibility: $249/mo gets only 3 engines and 100 prompts with no sentiment data.

External rating: G2 4.7/5 (2,113 reviews) — rating primarily reflects the AI writing tool, not the GEO/AI visibility suite which launched mid-2025.

Verdict: A content-generation platform with AI SOV tracking bolted on — useful if you already need an AI writer, but the Action Center being locked to Enterprise undercuts the self-serve value proposition.


How we ranked these

Rankings reflect scoring across five dimensions, weighted by importance to an active AI SOV programme:

  1. Action vs monitoring (35%). Does the tool help you close citation gaps, or stop at the dashboard? Tools that ship prioritised content briefs or execute fixes score higher.
  2. Engine coverage (25%). Minimum for a serious programme is ChatGPT, Perplexity, Gemini, and Google AI Overviews. Tools covering 6+ engines score meaningfully higher.
  3. Citation evidence quality (20%). Can an analyst inspect the exact prompt, the answer it produced, and the specific cited sources? Attribution depth determines whether the data is diagnostic or merely descriptive.
  4. Time to value (10%). How quickly can a non-specialist team get a useful SOV read after onboarding? Days beat weeks.
  5. Pricing accessibility (10%). Does the entry tier deliver meaningful coverage, or is the real product behind a $4,000/mo enterprise contract?

Scores are updated quarterly. Last scored: June 2026. Third-party ratings are included as reported and are not editorial endorsements.

Decision guide

  • Use Temso if you want monitoring and execution in one flat subscription from $29/mo — track your AI SOV across 8 engines and get a built-in action plan to close the gaps, all without a specialist hire.
  • Use Profound if your audience is the boardroom and the deliverable is a quarterly review deck with citation-level attribution across 9+ engines. Budget for $399/mo minimum.
  • Use Evertune if you run a Fortune 500 brand with dedicated brand intelligence budget and need statistically significant SOV data at scale — 1M+ prompts per brand per month, dual-layer measurement, mandatory annual contract at $3,000/mo+.
  • Use Peec AI if you are running AI visibility as a billable line item for multiple clients and need unlimited seats and daily prompt tracking without per-user pricing.
  • Use Otterly.AI if you are a solo analyst or small team and want genuine AEO depth at $29–$189/mo, with the best entry-level third-party credibility in the category.
  • Use AthenaHQ if your mid-market team needs the clearest prioritised fix list and the highest G2 satisfaction rating in category — 4.9/5.
  • Use Scrunch if procurement and legal must bless the buy (SOC 2 Type II, RBAC, SSO) and you want to control how optimised content reaches AI crawlers via AXP.
  • Use Ahrefs Brand Radar if you are already paying for Ahrefs and want instant competitive SOV benchmarking against any brand — no setup, 405M+ prompts, built-in.
  • Use SE Ranking if you need traditional SEO rank tracking and AI SOV monitoring in a single platform at a combined price that beats buying them separately.
  • Use Knowatoa if your team wants hands-on guidance, a dedicated account rep at $59/mo, and a structured diagnostic framework to understand why competitors are winning your prompts.
  • Use Surfer SEO AI Tracker if content production is your primary workflow and you want SOV tracking embedded in the writing tool you already use.
  • Use Writesonic GEO if you need a combined AI writer and brand monitoring platform and are willing to be on Enterprise to unlock the full Action Center.

FAQ

What is AI share of voice and how is it calculated?

AI share of voice (AI SOV) measures the percentage of brand mentions your company receives across AI-generated responses relative to all brand mentions for your category on those platforms. The formula is: AI SOV = (your brand mentions / total brand mentions across tracked prompts) x 100. If AI models mention brands 200 times across a set of category prompts and your brand appears 50 times, your AI SOV is 25%. Unlike traditional SOV, which is a proxy for awareness, AI SOV measures presence at the exact moment a buyer is actively asking an AI what to buy — making it a direct predictor of whether your brand enters the consideration set.

Which AI engines should I track for share of voice?

At a minimum, track ChatGPT, Perplexity, Gemini, and Google AI Overviews — these cover the largest share of buyer research activity. ChatGPT holds roughly 60% of the AI search market and is the preferred research LLM for 47% of B2B buyers. Perplexity is lower in mention volume but higher in referral traffic value because it includes external links in over 77% of responses. Google AI Overviews appear in up to 25% of queries and skew heavily commercial. Claude, Grok, Microsoft Copilot, and Meta AI are worth adding if your category is competitive, since brand mention rates vary significantly by engine — Claude mentions brands in 97.3% of responses versus Perplexity at around 40–48%.

What is a good AI share of voice target for a B2B brand?

Initial benchmarks from AI visibility platforms suggest targeting 30% overall AI SOV or platform parity in your primary category as a starting point. In highly saturated categories like marketing technology, cybersecurity, or HR software, category leaders typically need 35–40% SOV on best-of and comparison prompts to maintain consistent top-of-list positioning. The trend line matters more than the absolute number: a brand growing from 8% to 18% in 60 days has momentum that predicts future category dominance. Research consistently finds that B2B brands appear in fewer than 30% of relevant category queries regardless of their conventional SEO rankings, so even reaching parity is a meaningful improvement.

How is AI share of voice different from traditional share of voice?

Traditional share of voice measures advertising weight and media volume relative to competitors — a proxy for awareness that translates to revenue through a long, hard-to-attribute funnel. AI share of voice measures presence at the exact moment of active research and purchase consideration. When a buyer types 'which CRM should I use' into ChatGPT, the AI's response pre-selects the vendor shortlist before the buyer ever visits a website. AI SOV also differs in that it is prompt-specific: a brand can have strong SOV on 'best PR software 2026' and zero presence on 'how to measure earned media ROI' — even if both queries are directly relevant to that brand.

Can I track AI share of voice without a paid tool?

Yes, for an initial audit. Build a library of 20–30 category prompts, send them manually to ChatGPT, Perplexity, and Claude, and record every brand mentioned in each response. Calculate SOV per platform using the formula above. This manual approach produces a usable competitive baseline and takes 2–3 hours for a focused set of prompts. For ongoing measurement, the manual approach becomes unsustainable — prompt responses change daily, and tracking across 6–9 engines manually would require a full-time analyst. Dedicated platforms like Temso, Peec AI, or Otterly.AI automate this process starting from $29–$85/mo and alert you to significant changes without manual intervention.

What is 'share of model' and how does it differ from AI share of voice?

Share of model is an emerging term used by some platforms (notably Evertune) to describe a brand's presence in a model's foundational training knowledge, as distinct from its presence in real-time retrieval-augmented responses. Share of voice typically measures what users actually see in AI-generated answers — which is influenced by both training data and real-time web retrieval. Share of model specifically refers to how deeply embedded a brand is in the LLM's baseline understanding before any retrieval layer is applied. For most marketing teams, share of voice across AI answers is the operationally relevant metric; share of model matters most for enterprise brands concerned with long-term brand perception and model accuracy.

Maya Shapiro

Reviewed by

Maya Shapiro

Founder & lead analyst · 15 years in digital marketing

Updated

How we score →

Maya founded a search marketing agency in 2010 that grew to serve retail and fintech clients across EMEA before she sold it in 2023. Fifteen years across SEO, paid search, and analytics: she now spends her days running brand-visibility experiments across ChatGPT, Claude, Gemini, Perplexity, and Copilot. She has spoken at BrightonSEO, SearchLove, and SMX, and contributed to Search Engine Journal for nearly a decade. Trained as a classical pianist before switching to economics at university, she keeps bees on her balcony and speaks four languages: Hebrew, English, Russian, and conversational French. Methodology and editorial-independence policy are documented at /methodology.