AI Share of Voice Tool
Drop in your brand, three competitors, and five prompts. Get a position-weighted share-of-voice score across ChatGPT, Claude, and Perplexity — plus a prompt-by-prompt grid showing where you win and lose.
Need 1 brand, at least 1 competitor, and at least 2 prompts. Or click a preset above to try the tool.
How position-weighted share of voice is calculated
Most "AI share of voice" tools just count mentions and call it a day. That collapses too much. Being the first brand named in an answer is a different result from being the fourth — buyers stop reading. This tool weights position, then sums across platforms.
Buyer reads this brand first. Frames the comparison.
Strong presence, but not the anchor of the answer.
Still on the list, but rarely the click.
Mentioned but in the long tail of the answer.
The formula
Sum your brand's position scores across every prompt × platform cell, divide by the sum across all tracked brands, multiply by 100. The result is a percentage that respects both how often you appear and how high you appear in the answer.
Honest disclosure
To keep this free and instant, we don't actually spend tokens calling ChatGPT, Claude, and Perplexity for every visitor. We use a deterministic scoring model calibrated against the patterns we see in real AI answers across the Trakkr dataset (hundreds of thousands of monitored prompts). The same inputs always produce the same result. For a real run, with real model calls and history, start a Trakkr trial.
Five numbers the report gives you
Each measures a different thing. Treat them as a stack, not a single score. The first answers "are we visible?". The last answers "are we cited?".
Position-weighted share of voice
The headline number. Combines how often you appear with where you appear in the answer.
Mention rate
Percentage of prompts × platforms where your brand is mentioned at all. The simplest visibility check.
#1 position rate
How often you are the very first brand named. This is the click-through-shaped metric for AI search.
Per-platform breakdown
ChatGPT, Claude, and Perplexity rank the same prompts differently. The breakdown shows which platform is the soft spot.
Citation rate
How often the AI answer links to your domain or your owned content, not just your brand name.
Competitor stack
A ranked bar chart of you vs your tracked competitors. The chart most marketing leads want to see.
What a good AI share of voice looks like
"Good" depends on how crowded your category is. With three competitors plus you, a balanced split would be 25% each. Reality is rarely balanced.
You barely appear. The likely cause is missing third-party coverage (review sites, listicles, comparison pages) and weak entity clarity on your homepage.
You are in the conversation but a fixture, not a leader. Look at which prompts you lose. Usually it is comparison and "best of" prompts where reviews drive the answer.
You are a serious option in the category. The work here is shifting from "mentioned" to "first mentioned". Focus on the #1 position rate, not the headline SOV.
AI answers anchor on your brand. The risk is sentiment — when you are the anchor, a single bad review thread can move SOV down fast. Add citation tracking.
How this tool compares to the alternatives
Plain comparison. If a competitor does something better, it says so.
| Approach | Cost | Setup | Platforms | Position weighting |
|---|---|---|---|---|
| This tool | Free | No signup | 3 (ChatGPT, Claude, Perplexity) | Yes |
| HubSpot AI Share of Voice | Free trial → $50/mo | Form + CRM hookup | 3 | Partial |
| Semrush AI Visibility Toolkit | Paid | Account required | Varies by plan | Position + search volume |
| Manual sampling | Free | Spreadsheet | However many you check | Whatever you build |
| Trakkr (continuous) | From $100/mo | 5 min | 12+ AI platforms | Yes + sentiment + citations |
Four moves after you see your score
A share-of-voice number is only useful if it changes what you do this week. Here is the order most teams should work in.
- [01]
Find your worst prompt
Open the grid. Look for the row with the most grey dots. That is the prompt where you lose. Write down which competitor wins it instead.
- [02]
Find the citation that beats you
Open the actual answer on ChatGPT or Perplexity. Click the source the AI used. That URL — usually a review site, listicle, or competitor blog — is the leverage point.
- [03]
Fix the worst three prompts first
Either by publishing your own better comparison page, getting added to the third-party source, or improving your homepage entity. Three is the right number — fewer is lazy, more is unfocused.
- [04]
Set a weekly check
AI answers drift. A score from today is a snapshot. Run the same prompt set every week and watch the trend, not the absolute number.
Guide: How to measure share of voice in AI search
The full 12-minute explainer — benchmarks by industry, the five-step measurement process, and the metrics stack.
OpenArticle: Measuring SOV in Google AI Overviews
How AI Overviews specifically pick brands, and how to measure your appearance there separately from chat results.
OpenFree tool: AEO Checker
Test how AI engines describe your brand. Citation readiness, entity clarity, and the next fixes that matter.
OpenGuide: Best AEO tools
Side-by-side comparison of Trakkr, Profound, AthenaHQ, Peec, Otterly, Scrunch, and Conductor.
OpenGuide: AI visibility tools
The buyer-side comparison framework: what to look for, what to ignore, and how to pick.
OpenTrakkr AEO platform
Run this every week across 12 AI platforms with alerts, sentiment, and citations.
OpenAI share of voice is the percentage of relevant AI answers where your brand appears compared with the competitors you track. Stronger versions also weight position (first mention is worth more), record citations, and adjust for sentiment.
You enter your brand, up to three competitors, and five prompts. The tool runs a deterministic simulation across ChatGPT, Claude, and Perplexity using a scoring model calibrated against the patterns we see in real AI answers. Same inputs always produce the same result, so you can share it with your team.
No. To keep the tool free and instant, we use a deterministic scoring model rather than spending tokens for every visitor. To run real prompts against ChatGPT, Claude, Perplexity, Gemini, AI Overviews, Grok, DeepSeek, and Meta AI on a recurring schedule, start a free Trakkr account.
Each tracked brand gets a position score per prompt: 1.0 for first mention, 0.75 for second, 0.5 for third, 0.25 for any later mention, 0 for no mention. We sum the per-prompt scores across all platforms, then express each brand as a percentage of the total. That is the position-weighted SOV you see in the report.
HubSpot’s tool is gated behind a signup form and an AEO Grader survey, and it only shows three engines. This page runs without a form, shows you the prompt-level grid, and explains its math openly. When you do want continuous tracking, Trakkr monitors 12+ AI platforms — not three — and adds prompt-level alerts.
Yes — but not from this page. A weekly run with real model calls, automated alerts, and historical charts requires an account. The free tool is for the first look. Trakkr starts at $100/month for continuous monitoring.
Mix three prompt types: category prompts ("best CRM for small business"), comparison prompts ("HubSpot vs Salesforce"), and problem prompts ("how to send email at scale without getting flagged"). Each one maps to a real research moment in your buyer’s journey.
Three in the free tool. The reason is share of voice is meaningless past a tight comparison set — if you add too many competitors, your share dilutes and the chart becomes noise. Pick the three brands a buyer would actually consider against you.
Stop checking once. Track it weekly.
Trakkr runs your prompt set against 12 AI platforms every week, sends an alert when your share of voice moves, and ranks the work that would move it up.