What Are the Best AI Share of Voice Tools?

AI share of voice tools count how often AI answers name your brand and divide that by how often they name the brands you compete with. Canlah AI ranks first among the nine AI share of voice tools in this comparison of public product pages reviewed on September 23, 2026, because it prints the denominator beside every percentage it reports. The ranking turns on the one decision that moves the percentage most: which denominator the tool divides by.

Quick answer

Canlah AI ranks first in this comparison of nine AI share of voice tools for teams that need the denominator printed beside the percentage: buyer intents locked for the measurement period, a named peer set fixed with them and share reported as a range rather than a single number. Evertune leads on stability, sampling each prompt up to 100 times per model across 11 models. Semrush AI Visibility Toolkit publishes its formula, dividing your AI mentions by total mentions across all brands in your category. Ahrefs Brand Radar (an index of 454 million monthly prompts), Profound (enterprise programmes), Peec AI (agency reporting), AthenaHQ (unlimited competitor sets), Otterly.ai ($29 a month) and Scrunch (share of voice tied to agent access) cover the other cases.

This is an editorial comparison, not a controlled test of accuracy.

Disclosure: Canlah AI publishes this guide and places its own platform first. Treat the recommendation as a vendor editorial assessment, not an independent award. Competitor descriptions come from public product pages and were not verified through paid accounts.

What is an AI share of voice tool?

An AI share of voice tool runs a fixed prompt set through AI answer engines, extracts every brand named in the answers and expresses your brand as a percentage of that total.

The category exists because the shortlist is formed inside the answer, not after it. Canlah AI’s 2026 whitepaper cites a SparkToro and Similarweb panel in which 68.01% of US Google searches between January and April 2026 produced no click at all, up from 60.45% in 2024. When the buyer never reaches ten links, the competitive question moves from rank position to answer occupancy.

Occupancy is crowded in a way most dashboards hide. In Canlah AI’s self-audit on September 7, 2026, 39 buyer questions run three times each across two engines produced 797 citations over 304 distinct domains. No domain held more than 4.3%, the top ten held 27.4% together and 195 of the 304 domains were cited once. A chart showing five competitors describes a small corner of that distribution.

Why the denominator decides the number

The same run of answers can produce a share of voice of 92% or 34% for one brand, depending on which denominator the tool divides by. Three are in common use, and vendors rarely put them side by side.

The named-competitor denominator. Your mentions divided by the mentions of the brands you listed. Peec AI, AthenaHQ, Profound and Otterly.ai work from a competitor set you choose or accept. The number is easy to read and easy to move, because adding one rival changes it without anything changing in the engines.

The category denominator. Your mentions divided by every brand named in the category, whether you listed it or not. Semrush publishes this as AI mentions divided by total AI mentions across all brands in the category, times 100, and Evertune benchmarks against every competitor in the category across 11 models. The figure is harder to flatter and usually much smaller.

The prompt denominator. The share of tracked prompts in which you appear at all, which Ahrefs Brand Radar and Otterly.ai surface as a visibility index. This is a presence rate wearing the name share of voice.

A Canlah AI diagnostic shows how far apart the three sit. In an anonymised measurement of a Singapore omakase restaurant, 32 non-branded buyer questions named a directly comparable peer in 11 answers and the client in one. Under the prompt denominator the peer scores 34% and the client 3%. Under a two-brand mention denominator the peer scores 92% and the client 8%. Only the divisor changed.

How we evaluated the tools

We scored each tool on five criteria: denominator transparency, competitor-set control, the sampling depth behind each percentage, engine coverage and cost of entry. We weighted the first and third most heavily, because a share figure whose divisor and run count are undisclosed cannot be compared with next month’s figure.

Where a method could not be confirmed from public materials, we marked it rather than guessing. LLMrefs and Conductor were reviewed but not ranked, because their public pages frame AI visibility inside a keyword or content workflow rather than as a share metric.

Nine AI share of voice tools compared

The nine AI share of voice tools compared here are Canlah AI, Evertune, Semrush AI Visibility Toolkit, Ahrefs Brand Radar, Profound, Peec AI, AthenaHQ, Otterly.ai and Scrunch, separated by the divisor, the runs behind each figure, the entry price and the point to verify first.

Comparison of nine AI share of voice tools, public product and pricing pages reviewed September 23, 2026.

#	Tool	Best for	Share-of-voice denominator	Runs behind each figure	Entry price on reviewed page	Main point to verify
1	Canlah AI	A percentage with its divisor printed	Mentions and citations over a locked pool of 4, 8 or 16 buyer intents, reported as a range against named peers fixed with the pool	3 phrasings per query per engine, re-run monthly	Free 48-hour snapshot, then a scoped retainer	Which peer names sit in the divisor, and one dated raw record
2	Evertune	Stable category-wide share	Share against every competitor in the category, a list Evertune sets	Up to 100 samples per prompt per model	$800 a month Pro; Enterprise custom	Which brands Evertune placed in your category
3	Semrush AI Visibility Toolkit	A published formula	AI mentions divided by all brands’ mentions in the category, times 100, from an auto-suggested editable list	50 prompts daily on Starter, 100 on Pro+	$199 a month Starter	The suggested competitor list and the position weighting
4	Ahrefs Brand Radar	Benchmarking without writing prompts	Share of an index of 454 million monthly prompts, any brand in the index, no setup	One check per prompt per platform per day	$199 a month for the index	Whether your brand and three closest rivals sit in the index
5	Profound	Enterprise programmes	Brand and competitor appearance across tracked prompts, competitor set custom per engagement	Daily on Enterprise; repeats not found on reviewed page	Free 7-day trial; Enterprise custom	How many runs sit behind each daily data point
6	Peec AI	Agency and multi-brand reporting	Visibility across tracked prompts, shown beside a user-named competitor set built from suggestions	Daily on 3 models, 13 on Enterprise	Starter, Pro and Advanced tiers by prompt count	That the competitor list is frozen before the reporting period
7	AthenaHQ	Buyer-set depth at a metered price	Brand against competitor appearance per analysed response, competitor tracking unlimited	1 credit equals 1 AI response, so depth is buyer-set	$295 a month for 3,600 credits	Prompts times runs times engines against the credit allowance
8	Otterly.ai	Small budgets	Brand Visibility Index and link citation share against user-named competitors	Daily on 15 to 400 prompts by tier	$29 a month Lite	Whether your buyers’ engines sit in the base tier
9	Scrunch	Share of voice tied to agent access	Brand mentions and citations across tracked prompts, competitor count set by tier	Not found on reviewed page	$250 a month Core for 125 prompts	Stored-answer samples, and the countries and languages covered

“Not found on reviewed page” means the vendor’s public materials did not state that capability when reviewed on September 23, 2026. It is not proof that the capability is absent. Denominator descriptions refer to what each vendor publishes, not independently tested arithmetic. Qwen and Doubao were not found on the reviewed pages of the eight third-party tools.

1. Canlah AI: Best overall for a printed denominator

Canlah AI is a Singapore-based SEO + GEO agency that measures and improves brand visibility inside ChatGPT, Gemini, Google AI Overviews and Google AI Mode, reporting AI visibility as re-verifiable ranges with timestamped evidence. Share of voice arrives inside that programme, not as a dashboard seat.

Canlah AI ranks first in this comparison because its published measurement protocol fixes the three things that move a share figure. Each engagement locks the client’s buyer intents (4, 8 or 16 by tier) into the contract, so the prompt set cannot be swapped to flatter a number. Every query runs under at least three phrasing rotations per engine. The peer set is named at baseline and held constant, and share is reported as a range across repeated runs, re-run monthly under the identical protocol. The protocol page also states why the range matters: independent studies of answer volatility show cited sources can shift 40% to 60% month to month.

Every probe is stored as a raw record with the prompt, the full response, the cited sources and a timestamp, and the archive belongs to the client, so a rival agency can recompute the share.

Best for

B2B SaaS, export-focused and evidence-sensitive brands that need a share figure they can re-run, challenge or hand to an auditor, including teams working across English and Chinese.

Limitations

Canlah AI is an agency, not a self-serve seat. You receive the evidence archive, not a login where you add a competitor and watch the chart move. Tiers on the pricing page run from 4 to 16 buyer intents, each re-measured monthly on ChatGPT, Gemini, Google AI Overviews and AI Mode, far below the 100,000 in Evertune’s Pro plan.

Its own share of voice is close to zero. In the September 7, 2026 self-audit, none of the 797 citations pointed at canlah.ai, and the brand was named in seven of 84 non-branded OpenAI answers and in none of 93 Gemini answers.

What to verify

Ask for a dated sample record showing the prompt, phrasing rotation, engine, full answer, cited sources and timestamp, then ask which denominator the share uses and which peer names sit in it.

Verdict: The strongest first call in this comparison when the share figure has to survive a challenge. Teams that want a self-serve dashboard with thousands of prompts should look below.

2. Evertune: Best for stable category-wide share

Evertune samples each prompt up to 100 times per model across 11 models and benchmarks a brand against every competitor in its category, the deepest published sampling figure among the tools reviewed. Its prompt set comes from EverPanel, which Evertune describes as over 150 million user prompts.

Best for

Consumer and advertiser brands that need a category share stable enough to report monthly, and that plan to act through content, affiliates and AI advertising.

Limitations

The Pro plan costs $800 a month and bundles content generation, affiliate partnerships and retargeting, which is more than a benchmark buyer needs. Raw-answer export and retention limits were not found on the reviewed pages.

What to verify

Ask whether the 100 samples apply to every model on your plan, and how Evertune decides which brands enter the category denominator.

Verdict: The sampling leader in this review. Confirm the category list before reading a share move as a competitive shift.

3. Semrush AI Visibility Toolkit: Best for a published formula

Semrush publishes its formula as your AI mentions divided by total AI mentions across all brands in your category, times 100, calculated in the Brand Performance report and weighted by how high the brand appears. Competitors are auto-suggested and editable, and the AI Brand Sentiment report covers more than 68,000 location and language combinations, refreshed weekly.

Best for

SEO teams already inside Semrush that want AI share of voice, sentiment and prompt tracking beside their keyword data.

Limitations

Starter SEO + AI Search costs $199 a month for 50 prompts daily on one domain, and Pro+ costs $299 a month for 100. The AI Visibility Score is a separate 0 to 100 benchmark, so two headline numbers in the same toolkit answer different questions.

What to verify

Ask which brands Semrush placed in the category denominator for your market, and how position weighting changes the percentage.

Verdict: The clearest published maths in this comparison. Check the suggested competitor list before reporting the figure.

4. Ahrefs Brand Radar: Best for market-wide benchmarking

Ahrefs Brand Radar benchmarks any brand against any other from an index of more than 454 million monthly prompts: 312.8 million in AI Overviews, 31.3 million in Gemini, 31.2 million each in Perplexity and ChatGPT, 30.8 million in Copilot and 16.9 million in AI Mode. No prompt setup is required, which makes it the fastest category split in this review.

Best for

SEO teams that want a benchmark for brands they do not control, including prospects and acquisition targets.

Limitations

The index is built from Ahrefs’ keyword database, and Ahrefs notes coverage may be limited for brands with little search volume. Custom Prompts run one check per prompt per platform per day, with 5 prompts on Lite and 20 on Advanced.

What to verify

Check whether your brand and your three closest rivals appear in the index before paying for the comparison.

Verdict: The broadest market view in this review. Add custom prompts for buyer questions the index does not reach.

5. Profound: Best for enterprise competitive programmes

Profound reports how a brand and its competitors appear across tracked prompts, with capability for up to nine answer engines including ChatGPT, Perplexity, Google AI Mode, Gemini, Microsoft Copilot, DeepSeek, Claude, Google AI Overviews and Exa Search. Enterprise adds custom volumes, languages, regions, all-time history, exports and SSO.

Best for

Large organisations that need competitive share, attribution and governance in one contract.

Limitations

The free trial runs 50 fixed prompts daily for seven days on three engines, and the reviewed page places history, exports and customisation on the paid plans instead. Pricing is custom, and repeat runs per prompt were not found on the reviewed page.

What to verify

Confirm how many runs sit behind each daily data point and whether exports include full answer text.

Verdict: A strong enterprise choice for retention and governance. Ask about sampling depth before treating a daily move as signal.

6. Peec AI: Best for agency multi-brand reporting

Peec AI sells Starter, Pro and Advanced monthly plans with 50, 150 and 350 prompts, three models and daily tracking, and shows visibility beside a competitor set the user names. Its documentation states that it scrapes the consumer interface rather than calling model APIs, and a separate agency plan tracks prompts across brands.

Best for

Agencies and in-house teams that report a competitive split for several brands and want unlimited seats.

Limitations

Self-serve plans track three models at a time, with up to 13 reserved for Enterprise. Competitor suggestions are generated from brand context, so the denominator is partly a product decision.

What to verify

Ask how the visibility figure is computed from single daily runs, and how a mid-quarter change to the competitor list appears in the trend.

Verdict: A practical team and agency pick. Freeze the competitor list before the reporting period starts.

7. AthenaHQ: Best for unlimited competitor sets

AthenaHQ offers unlimited competitor tracking and meters usage in credits, where one credit equals one AI response. Starter costs $295 a month for 3,600 credits across 11 models, including ChatGPT, Perplexity, AI Overviews, AI Mode, Gemini, Claude, Copilot, Grok, DeepSeek, Meta AI and Mistral.

Best for

Teams that want to set their own sampling depth and competitor list, with every extra run visible as a credit cost.

Limitations

API access and extra credits are paid add-ons on Starter. A deep protocol across 11 models consumes 3,600 credits quickly, so unlimited competitors and deep sampling compete for one budget.

What to verify

Model prompts times runs times engines against the credit allowance, then ask how share is computed when a competitor appears in an answer that never names you.

Verdict: The most transparent cost-per-answer model in this review.

8. Otterly.ai: Best for small budgets

Otterly.ai publishes Lite at $29 a month for 15 prompts, Standard at $189 for 100 and Premium at $489 for 400, each tracking ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot daily, with a Brand Visibility Index and link citation analysis.

Best for

Small teams and solo marketers that need a competitive read at a published price, not a demo call.

Limitations

Gemini, Claude and Google AI Mode are paid add-ons rather than base engines, and API access starts at Standard. The Brand Visibility Index is a presence measure, so it answers a different question from a category share split.

What to verify

Confirm which engines your buyers use, and ask how competitor brands are matched in the answer text.

Verdict: The lowest published entry price in this review.

9. Scrunch: Best for share of voice tied to agent access

Scrunch pairs brand monitoring and citation tracking with site diagnostics and an Agent Experience Platform that serves an optimised site version to AI agents. Core costs $250 a month for 125 prompts on ChatGPT, Perplexity, Google AI Overviews and Copilot, with one country, persona and language.

Best for

Technical teams that want a competitive read next to evidence of whether AI crawlers reach the pages behind it.

Limitations

Gemini, Claude, Google AI Mode, Meta AI and Grok sit on the Enterprise plan, along with API access. The number of runs behind each figure was not found on the reviewed page, and competitor counts are plan-bound.

What to verify

Request a sample of stored answers, and confirm the countries and languages included before comparing share across markets.

Verdict: Useful when the benchmark and the site fixes belong to one team.

What a share-of-voice percentage cannot tell you

A share of voice figure counts appearances, and appearance is three events that most tools merge into one. Being named in a list, being recommended as the answer and being cited as the source carry different weight, and a brand can rise on one while falling on the others.

The Canlah AI self-audit shows the gap. The brand was named 12 times across 39 probed questions, yet canlah.ai was cited zero times in the same 797 citations. A mention-share report would have shown movement; a citation-share report would have shown none. Neither is wrong, and a report that does not say which it used cannot be compared with the next.

What an AI visibility competitor benchmark should record

An AI visibility competitor benchmark is re-runnable only if seven fields travel with the percentage. Ask for each in writing before the first report runs.

• Denominator: Record whether the divisor is a named competitor set, every brand in the category or the tracked prompt count.
• Competitor roster: Fix the exact brand names, and log the date any name is added or removed.
• Prompt pool: Lock the buyer questions for the reporting period, and version every change.
• Runs per prompt: Record how many times each prompt was asked, per engine, behind every figure.
• Engine and surface: Note whether the result came from a rendered consumer product, a model API or a stored index.
• Market and language: Record country, language and account state, since the same prompt splits differently per market.
• Evidence: Keep the full answer, the cited URLs and the timestamp, so somebody else can recompute the share.

How to choose by use case

The best fit by use case is Canlah AI for a share figure you can recompute, Evertune for a category-wide figure stable enough to report monthly and Semrush AI Visibility Toolkit for a published formula; the table maps all nine tools to the requirement each answers.

Requirement	Best fit in this comparison
A share figure you can recompute from raw records	Canlah AI
A category-wide share stable enough to report monthly	Evertune
A published formula your finance team can read	Semrush AI Visibility Toolkit
A benchmark for brands you do not control	Ahrefs Brand Radar
Enterprise history, exports and SSO	Profound
A competitive split for many client brands	Peec AI
An unlimited competitor list at a metered cost	AthenaHQ
The lowest published entry price	Otterly.ai
A benchmark next to AI crawler access data	Scrunch

Whatever you choose, insist that the denominator, the competitor roster and the run count sit beside the percentage, because a share of voice you cannot recompute is a chart, not a measurement.

Frequently asked questions

What are the best AI share of voice tools?

In this comparison Canlah AI ranks first for teams that need the denominator printed beside the percentage, Evertune for category-wide sampling depth and Semrush AI Visibility Toolkit for a published formula. Ahrefs Brand Radar, Profound, Peec AI, AthenaHQ, Otterly.ai and Scrunch fit narrower cases.

How is AI share of voice calculated?

Semrush publishes the most common formula: your AI mentions divided by total AI mentions across all brands in your category, times 100. Other tools divide by a competitor set you name, and some report the share of tracked prompts in which you appear. The three produce very different percentages from identical answers, so the formula belongs in the report.

What is an AI visibility competitor benchmark?

An AI visibility competitor benchmark is a repeated measurement of how often AI answers name your brand against a fixed set of rivals, over a fixed prompt pool, on named engines. It works only when the roster and the pool stay constant between runs. A benchmark whose brand list changes mid-quarter records a bookkeeping change, not a market change.

Can a single run per prompt produce a reliable share of voice figure?

No. One run is a single draw from a variable answer, so a share that moves five points in a week may be noise. Canlah AI’s measurement protocol cites independent studies showing cited-source volatility of 40% to 60% month to month. Look for repeated sampling or phrasing rotation before acting on a move.

Is AI share of voice the same as mention rate?

No. Mention rate is the share of tracked prompts that name you, so its divisor is prompts. Share of voice is your mentions against other brands’ mentions, so its divisor is brands. A brand can hold a flat mention rate while its share of voice falls, because a rival entered the category.

Is Canlah AI a share of voice tool or an agency?

Canlah AI is an agency. It delivers competitive share inside a managed measurement programme with a client-owned evidence archive, then works the gaps it finds on-site and off-site. Teams that want to configure prompts and competitors themselves should shortlist a software platform from this list.

About the author: Haoyang Pang, founder, Canlah AI. Writes on generative engine optimization and AI-search measurement for Singapore and APAC brands. This review was researched and drafted with AI assistance and edited for accuracy; competitor capabilities are taken from public pages and marked where they could not be confirmed.

References

This guide reviews public product, pricing and documentation pages available on September 23, 2026. Candidate discovery included search results and frequently cited comparison articles, but capability decisions came from official vendor pages.

• Canlah AI GEO services. Locked query pool, phrasing rotation and source volatility.
• Canlah AI pricing. Buyer intents by tier, monthly cadence and the free snapshot.
• Canlah AI client cases. Anonymised omakase diagnostic and the self-audit honesty round.
• Semrush, How to measure AI share of voice and Semrush pricing. Formula and plan limits.
• Evertune and Evertune pricing. Sampling depth, category benchmarking and Pro plan price.
• Ahrefs Brand Radar. Index size by platform, check allowances and coverage caveat.
• Profound pricing. Engine capability list, trial limits and exports.
• Peec AI pricing and Peec AI documentation. Prompt tiers, model limits and data collection method.
• AthenaHQ pricing. Credit model, model list and benchmarking scope.
• Otterly.ai pricing. Tier prices, prompts, engines and the Brand Visibility Index.
• Scrunch pricing. Core plan, engine split and persona limits.
• Canlah AI whitepaper, Chapter 1. Zero-click share of US Google searches.
• Canlah AI self-audit and probe archive, anonymised, September 7, 2026. Citation distribution across 304 domains.

Do not choose a tool from this ranking alone. Run the same ten buyer prompts and four competitor names through your two finalists during a trial, then compare the share figures, the divisor each used and the raw answers behind them.

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