Share of voice tools compared side by side fall into five groups: SEO and AI search visibility trackers such as Semrush and Conductor, social listening platforms such as Brandwatch, native ad metrics such as Google Ads impression share, free analytics stacks, and managed programs such as Tellr that change the number instead of only reporting it. Each group measures a different kind of share of voice, so pick by the channel you need to win rather than by how complete a dashboard looks. This comparison, updated for October 2026, covers how share of voice tools calculate the metric, what each one measures, what it costs, and which team it suits.
Key takeaways
- Share of voice is not one metric: SEO tools measure keyword visibility, ad platforms measure impression share, listening tools measure mention volume, and AI trackers measure citation share, and the numbers are not interchangeable.
- Semrush and Conductor both score 4.5/5 on G2 and lead for search and AI answer visibility, while Brandwatch (4.4/5 on G2) leads for social and forum conversation.
- Google Ads impression share and Google Search Console give a free share of voice baseline for paid and organic search, but neither shows competitor organic or social share.
- Mention-based share of voice without sentiment and reach weighting can reward a brand for a crisis, so always pair volume with tone and audience size.
- Trackers show where a brand is missing from Google results, AI answers and Reddit threads; closing the gap takes published content, replies and creative.
| Tool | Best for | Channels | SOV model | Starting price | Key strength | Team fit |
|---|---|---|---|---|---|---|
| Tellr | Enterprises that need the share to move | Google results, AI Overviews, Reddit, paid social | Weekly citation share by domain type | Scoped per engagement (teams spending $10k+/month) | Tracking plus the replies, pages and creative that change it | Enterprise, 200+ employees |
| Semrush AI Visibility Toolkit | SEO teams adding AI visibility | Google, AI answers | Keyword visibility and AI mention share | About $99/month per domain | SEO and AI tracking in one platform | SMB to mid-market |
| Conductor | Enterprise SEO and AEO programs | Google, ChatGPT, Perplexity, AI Overviews, AI Mode | Mention and citation share | Quote-based | Joins GSC, GA4 and AI visibility data | Enterprise, multi-domain |
| Brandwatch | Social listening and PR teams | Social, forums, news, blogs | Mention volume with sentiment | Around $800/month for small configurations | Boolean queries and real-time tracking | Mid-market to enterprise |
| Google Ads impression share | Paid search teams | Google Search and Shopping ads | Impressions / eligible impressions | Free with an ad account | Exact auction data rather than estimates | Any size |
What is share of voice in marketing?
Share of voice (SOV) in marketing is the percentage of a category's total visibility, conversation or advertising that one brand holds compared with its competitors. The share of voice definition stays the same across channels: your presence divided by total market presence, multiplied by 100. What changes is the unit being counted.
- Search: ranking positions weighted by search volume and click-through rate.
- Paid media: impressions won out of impressions you were eligible for.
- Social and forums: brand mentions, tags and engagement versus competitors.
- Earned media and PR: articles and reach versus the competitor set.
- AI answers: how often ChatGPT, Perplexity or Google AI Overviews mention or cite your brand for category queries.
Teams use SOV to benchmark position against competitors, track campaign effect over time, find gaps in SEO, social or PR coverage, and guide budget allocation. The AI layer matters more each quarter. Answer engines such as ChatGPT, Google AI Mode and Perplexity now influence which brands enter consideration, and Forrester covers the shift in its report on getting your brand recommended by answer engines. For a channel-by-channel breakdown, see our guide on how to measure it across search, social and AI.
How to calculate share of voice
You calculate share of voice by dividing your brand's mentions, impressions, clicks or citations by the total for your whole competitor set, then multiplying by 100. The base share of voice formula is:
SOV = (Your brand's presence ÷ Total market presence) × 100
The inputs differ by channel. The table below gives a share of voice example for each one, with illustrative figures.
| Channel | Formula | Example inputs | Calculation | Interpretation | Action |
|---|---|---|---|---|---|
| SEO | Your estimated clicks ÷ total estimated clicks across tracked keywords | 50 non-branded keywords; your estimated clicks 4,200; all domains 21,000 | 4,200 ÷ 21,000 × 100 = 20% | One in five organic clicks in the set goes to you | Target keywords where you rank 4–10; moving into the top 3 lifts CTR most |
| PPC | Impressions ÷ total eligible impressions | 18,000 impressions; 40,000 eligible | 18,000 ÷ 40,000 × 100 = 45% | You miss 55% of eligible auctions | Check Search lost IS (budget) vs (rank) to decide between budget and bids/Quality Score |
| Social | Your mentions ÷ total brand + competitor mentions | 150 of 1,000 mentions | 150 ÷ 1,000 × 100 = 15% | Volume only; tone unknown | Split by sentiment before reporting |
| Earned media | Your reach-weighted coverage ÷ total competitor coverage reach | Your articles reach 2M; competitor set total 10M | 2M ÷ 10M × 100 = 20% | Coverage share, weighted by audience | Pitch the outlets driving competitor reach |
| AI answers | Citations of your domain ÷ total citations across tracked queries | 60 queries; 420 citations; 38 yours | 38 ÷ 420 × 100 ≈ 9% | AI engines rarely use your pages as sources | Publish comparison and answer-shaped pages on the queries where competitors are cited |
Share of voice formula for SEO
SEO share of voice estimates traffic share, not ranking count. For each keyword, multiply monthly search volume by the expected CTR at your position, sum across the keyword set, and divide by the same sum for every ranking domain. A simpler version compares how many tracked keywords you rank for against the total held by competitors. Keep branded and non-branded keywords in separate sets, because branded terms inflate SOV without telling you anything about category demand.
Share of voice formula for PPC
Google Ads reports Search impression share directly as impressions received divided by impressions you were eligible for. Two companion metrics explain the gap: Search lost IS (budget) and Search lost IS (rank). Auction Insights then shows competitor impression share and overlap rate on the same auctions, which makes paid search the most precise SOV channel.
Share of voice formula for social media and AI answers
Social SOV counts your mentions and tags against the combined total for you and your competitors, ideally split by positive, neutral and negative tone. AI answer SOV counts citations or mentions across a fixed query set, refreshed on a schedule, because answers vary between runs. Our walkthrough on calculating share of voice with formulas covers weighting and sampling in more depth.
A share of voice calculator does not need to be software. A spreadsheet with one row per keyword, query or week, a column for your count and a column for the market total gives a free share of voice calculator you can audit line by line.
How we compared share of voice tools
We compared share of voice tools on what they count, how fresh and complete that data is, and how well the output feeds a team's existing workflow. Every tool was scored against the same criteria:
- SOV model: keyword visibility, impression share, mention volume, earned coverage or AI citation share.
- Channels covered: Google, AI engines, social platforms, forums such as Reddit, news.
- Data freshness: real-time, daily or weekly refresh, and whether data is sampled or estimated.
- Competitor depth: how many competitors and queries you can track side by side.
- Sentiment accuracy: whether tone is classified, and how reviewers rate it.
- History: how far back data goes for trend reporting.
- International coverage: languages, regions and local SERP support.
- Integrations: GA4, Search Console, CMS, Slack, BI tools, API and MCP server access.
- Pricing transparency: published pricing, trials and how costs scale.
- Who does the work: whether the tool only reports or also produces the content and placements that move share.
Ratings come from G2 review counts and scores as of October 2026. Pricing comes from published and reported figures; enterprise contracts vary.
Share of voice tools list
The share of voice tools worth comparing are Tellr, Semrush, Conductor and Brandwatch for paid programs, plus Google Ads, Google Search Console and GA4 as free baselines. Each entry follows the same format.
1. Tellr
Tellr is a premium earned-visibility agency for enterprises, run on its own platform. Customers do not get a self-serve tracker. A senior team runs one governed program that measures share of answer and then works to change it across Reddit threads, Google results, AI answers and ad feeds.
- Best for: mid-market and enterprise brands in categories such as cloud security, consumer security and AI software.
- SOV model: weekly citation share showing which domains Google and its AI Overview cite for each tracked query, labelled as your site, a competitor, Reddit, social, review sites or references, with week-over-week movement.
- Channels: Google organic results, AI Overviews and the discussions block; content written to be quoted by ChatGPT, Perplexity, Gemini, Claude and AI Overviews; Reddit; paid media creative.
- Data collection: Tellr's own search-data pipeline rather than a consumer panel.
- Beyond tracking: a daily Reddit thread radar with guideline-checked replies behind an approval gate, plus comparison pages and answer-shaped articles published to WordPress.
- Integrations: WordPress publishing, API access, and "Tellr for Claude", an MCP server for plain-language questions about the program; no GA4 or Search Console access required.
- Pricing: per engagement, scoped on a demo call; no free trial because work starts with a category map.
2. Semrush (AI Visibility Toolkit)
Semrush is an all-in-one SEO platform whose AI Visibility Toolkit adds AI answer tracking to keyword visibility. It rates 4.5/5 on G2 from 3,945 reviews, and reviewers often say AI Overview and AEO tracking has become more useful to them.
- SOV model: brand mentions, citations, position and share of voice versus competitors in AI answers.
- Freshness: prompt rankings daily; brand and competitor visibility weekly.
- Integrations: GA4, Search Console, WordPress, API and an MCP server.
- Sentiment is inconsistently documented, and AI referral traffic is not directly measured.
- Reviewers cite limited regional, language and AI engine coverage, plus caps on prompts, exports and domains.
- Costs scale with add-ons, and no free trial is indicated for the toolkit.
Pricing: about $99/month per domain billed annually; extra users $45/month; prompt packs $60/month per 50 prompts. Semrush One bundles run $199 (Starter), $299 (Pro+) and $549 (Advanced) per month.
3. Conductor
Conductor is an enterprise website optimization and intelligence platform covering SEO and AI search visibility. It rates 4.5/5 on G2 from 790 reviews, and reviewers single out its AI Search Performance dashboards, which track mentions and citations across ChatGPT, Perplexity, Google AI Overviews and AI Mode alongside GSC and GA4 data.
- SOV model: brand mentions, citations, share of voice, sentiment, position and AI referral traffic.
- Fit: large multi-brand, multi-region, multi-domain organizations.
- Integrations: GA4, Search Console, WordPress, Slack, BI tools, API; MCP connectivity via third-party servers.
- Reviewers flag the cost of AI search credits and limited export and executive reporting flexibility.
- Some reviewers report missing competitor sentiment and citation-share comparisons, and no native backlink tracking.
Pricing: quote-based enterprise contracts; sources disagree on a trial, with one listing a 3-week free trial. Refresh is described as continuous without a fixed interval.
4. Brandwatch
Brandwatch, part of Cision, is a social listening platform that tracks mentions, sentiment and share of voice across social media, forums, news and blogs. It rates 4.4/5 on G2 from 709 reviews; market research and brand teams describe it as a daily tool for sentiment, share of voice and emerging trends.
- SOV model: mention volume versus competitors, with sentiment and positioning.
- Freshness: real-time mention tracking and alerts.
- Strengths: Boolean query building, customizable dashboards, AI summaries (Iris) and multi-brand, multi-region workspaces.
- Reviewers call sentiment inconsistent with sarcasm and multilingual posts.
- Reported coverage gaps include sampling, limited TikTok and YouTube data, and history capped around one year.
- GA4, BI and API integrations are not explicitly confirmed.
Pricing: quote-based, from about $800/month for small configurations to $15,000+/month for large setups; no free trial.
5. Google Ads, Search Console and GA4
Google's own tools give a free baseline. Google Ads reports Search impression share and Auction Insights competitor share; Search Console shows your impressions, clicks and average position by query; GA4 tracks click-through and engagement. They measure your side accurately but show no competitor organic or social share.
Other tools worth a look
- Talkwalker and Hootsuite: social listening across mentions, hashtags, comments and sentiment.
- Ahrefs: keyword visibility and content gap benchmarking for search SOV.
- Topify: simulation-based AI share of voice with sentiment weighting, recommendation bonuses, competitor overlays and multi-model simulations.
For AI-only trackers, our AEO tools comparison goes deeper on prompts, citations and share of answer.
Common share of voice mistakes and how to tie SOV to revenue
The most common share of voice mistake is comparing numbers produced by different models, and the most useful fix is reporting SOV next to the pipeline metrics it should move.
Mistakes that distort the number
- Mixing models. A 20% keyword visibility share and a 20% mention share describe different things. Report each channel separately.
- Volume without sentiment. A product recall can double mention share overnight. Split by tone, and spot-check samples where tools misread sarcasm.
- Branded and non-branded together. Branded queries you already own inflate search SOV. Category demand lives in non-branded terms.
- No reach weighting. A mention in a major outlet and a post from a 40-follower account count the same in raw volume.
- One global number. SOV in the US and Germany can move in opposite directions. Segment by market, language and local SERP.
- Treating AI answers as fixed. Answers vary between runs, so track a stable query set on a fixed weekly cadence.
- Confusing visibility with results. Share is a leading indicator, so it needs a link to demand.
Connecting SOV to outcomes
| Outcome metric | Where to read it | What to look for |
|---|---|---|
| Branded search lift | Search Console branded queries | Branded impressions rising 4–8 weeks after SOV gains |
| Direct traffic | GA4 | Growth that tracks earned and AI visibility gains |
| Assisted conversions | GA4 attribution reports | Organic, referral and AI referral paths appearing earlier in journeys |
| Lead volume and conversion rate | CRM | Self-reported attribution naming Reddit, ChatGPT or review sites |
| Share gain after launches | Your SOV tracker | Movement on the specific queries and threads a campaign targeted |
For example, a security vendor might lift AI Overview citation share on 60 comparison queries from 9% to 14% over eight weeks after publishing comparison pages. If branded impressions and "how did you hear about us" mentions of AI tools rise in the following month, the SOV gain has a defensible line to pipeline. If they do not, the queries tracked are likely the wrong ones.
Where Tellr fits in a share of voice program
Tellr comes in after the tracker. It takes the gaps your SOV tools expose and does the work that closes them. Most enterprise teams already pay for Semrush, Conductor or Brandwatch. Those tools stay in place, and Tellr's weekly citation share report shows which competitor, Reddit thread or review site Google and its AI Overview prefer for each query. A senior team then runs the response as one governed program:
- Reddit replies checked against subreddit guidelines and released through an approval gate.
- Comparison pages and answer-shaped articles published straight to WordPress.
- Paid media creative informed by category ad intelligence.
- An audit trail, weekly digest and monthly program review for marketing leadership.
Tellr is a managed program for teams spending $10k+ a month, so smaller teams that want a dashboard to run themselves are better served by a self-serve tracker.
Which share of voice tool to pick: recommendations by budget and scenario
The right share of voice tool depends on budget, the channel where buyers decide, and whether your team needs a report or a result.
Best free share of voice tools
For share of voice tools free of charge, combine Google Ads impression share and Auction Insights for paid search, Search Console for your organic impressions, GA4 for engagement, and a spreadsheet as a free share of voice calculator. Build it in four steps:
- Fix a list of 30–100 non-branded category keywords or queries.
- Record your impressions, positions or citations weekly.
- Manually log competitor appearances for the same set.
- Divide your total by the market total and chart the trend.
Mid-market and enterprise picks
| Scenario | Pick | Why |
|---|---|---|
| Best overall for enterprises that need share to move | Tellr | Tracking plus the Reddit, content and creative work |
| Best for SEO and AI SOV on a mid-market budget | Semrush | Published per-domain pricing from about $99/month |
| Best for enterprise SEO and AEO reporting | Conductor | GSC, GA4 and AI visibility in one place |
| Best for social listening and PR teams | Brandwatch | Real-time mentions, sentiment and multi-region workspaces |
| Best for paid search SOV | Google Ads | Exact auction impression share at no cost |
| Best for AI SOV modelling | Topify | Multi-model simulations with sentiment weighting |
Small teams should start with the free stack or Semrush, because enterprise contracts from Brandwatch or Conductor rarely pay back below a dedicated analyst. Retail media and Amazon share of search sit outside this comparison and need specialist tooling. Whichever share of voice tools you choose, fix one model per channel, track the same query set every week, and report the number next to branded search, assisted conversions and pipeline so it earns its place in the budget.
FAQ
Do all share of voice tools measure the same thing?
No. SEO tools measure keyword visibility, ad platforms measure impression share, social listening tools measure mention volume, and AI trackers measure citation or mention share in answer engines. These numbers are not interchangeable, so each channel should be reported separately.
Which share of voice tool is best for each use case?
Semrush is positioned for SEO teams adding AI visibility, Conductor for enterprise SEO and AEO reporting, Brandwatch for social listening and PR, Google Ads for paid search impression share, and Tellr for enterprises that need both tracking and the work required to move share across Google, AI answers, Reddit and paid social.