Overview Dashboard
LLM visibility, share of voice, and citations in one timeline.
AI Share of Voice
See what percentage of the AI conversation in your category goes to your brand versus competitors, across ChatGPT, Gemini, Perplexity and other models.
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Trusted by 5,000+ brands
How it works
From tracked prompts to share of the answer, in one view.
- 01
Prompts run daily, every model
Your buyer prompts run across every major AI model daily, with every mention, citation and competitor data captured.
- 02
Share calculated per dimension
Mentions are aggregated into share of voice scores per brand, per LLM, per prompt category, and per intent type.
- 03
Moves traced to causes
Week over week SoV changes are tied back to the specific prompts, models and competitors driving the shift.
Core features
Share of Voice Dashboard
A single number for the share of the AI conversation in your category that goes to your brand, broken out per LLM and trended over time. You see whether you are gaining ground or losing it without piecing together exports.
Per prompt category splits show whether your SoV is concentrated in Branded queries or actually competing in Commercial and Comparison intent, which is where buyer decisions get made.
Competitor Share Comparison
Stack your SoV against every tracked competitor in one ranked view, with deltas per model and per prompt cluster. You see exactly who is winning which slice of the AI answer, not just an aggregate leaderboard.
Adding a new competitor backfills their historical SoV from your existing prompt data, so a fresh competitor add does not mean starting a tracking baseline from zero.
Per LLM Breakdown
The same SoV number split across ChatGPT, Gemini, Perplexity, and Grok, since the model that dominates your category often is not the one that dominates overall. A brand at 30% on ChatGPT can sit at 4% on Perplexity, and that gap is where the work is.
Per model trendlines surface when a specific model starts citing you more or less, often weeks before that shift shows up in aggregate metrics.
SoV Drivers
When SoV moves week over week, this view explains why: which prompts shifted, which competitor mentions surfaced and which models drove the change. The metric stops being a vanity number and starts being a diagnostic one.
Each driver links directly to the underlying responses, so you can read the actual AI output that caused the swing rather than trusting an aggregate score.
Platform
Beyond AI Share of Voice. The complete GEO platform.
Other tools surface the gap. CrowdReply closes it with the Engagement Engine.
Prompt Tracking
Daily checks of the prompts your buyers ask, across every major LLM.
Citation Analysis
See which sources LLMs cite and where your gaps are.
Competitor Analysis
Track visibility, share of voice, and citations side by side.
Sentiment Analysis
Not just whether AI mentions you, but how it talks about you.
Brand Knowledge
Detect, set the truth, remediate when AI gets you wrong.
Model coverage
Every model your customers ask. In one place.
Share of voice calculated daily across all major AI modela with weekly trended views.
Testimonials
Trusted by the teams winning AI search.
G4.9
Trusted by 5,000+ brands
Increased LLM visibility
+47%
Citations coverage
“I’ve never seen such huge ROAS anywhere else. I was able to take my e-com stores to rank in almost all of our core topics in our niche, which has led to over $1M extra revenue since January.”
Marcus AeCom
“The tool really made our work so much easier, we’re able to give our clients not only good results, but with less effort from our side. We’re been with CrowdReply since they started, primarily for Reddit marketing, but now we’re also able to offer AI visibility to our clients”
Michal HRed-engage
“Our app launched 4 months ago and ranking on LLM’s have driven more traffic than paid ads for us. We’ve tried to get our brand into all the relevant Reddit citations that we see LLM’s citing from”
Adrina WApp
“We’ve had an incredible ROI using CrowdReply at our app, Optimal Bet. In fact, it’s our best marketing channel!!”
PatrickOptimal Bet
Share of voice
0%
2X
Increased sales
FAQ's
Frequently asked questions
What is AI share of voice?
AI share of voice is the percentage of mentions in AI generated answers about your category that point to your brand versus competitors. Instead of measuring share of search results or share of media coverage, it measures share of the actual AI conversation, across ChatGPT, Claude, Gemini, Perplexity, and other LLMs. It is the closest equivalent of traditional share of voice for the generative search era.
How is AI share of voice calculated?
For each tracked prompt, every LLM response is parsed to identify brand mentions across your brand and your competitor set. Mentions are weighted, aggregated and expressed as a percentage of total mentions across the tracked prompt set. CrowdReply runs this calculation daily across every major model, so the number reflects live AI behavior rather than a one time audit.
How is this different from traditional share of voice?
Traditional share of voice measures share of paid impressions, organic rankings, or media coverage. AI share of voice measures share of mentions inside AI generated answers, which is a different surface entirely. A brand can dominate organic SERPs and barely register in ChatGPT answers, so the two metrics tell you different things and need separate measurement.
What is a good AI share of voice percentage?
There is no universal benchmark, since the answer depends on your category, your competitor set, and the prompt intent mix. A reasonable target is to track SoV relative to your top three competitors and aim to exceed your category traffic share, since AI answers concentrate visibility into a smaller set of brands than traditional search. CrowdReply benchmarks your SoV against your tracked competitor set, not an arbitrary industry average.
Can I track AI share of voice per model?
Yes. Every SoV view in CrowdReply can be filtered or split per LLM, since a brand often has very different SoV across ChatGPT, Claude, Gemini, and Perplexity. The split matters because the levers that move SoV on one model often look different from the levers on another, and an aggregate number can hide a major gap on the model your buyers actually use.
How often is AI share of voice updated?
Every tracked prompt runs daily across every supported model, and SoV recalculates on the same cadence as soon as new responses land. Dashboard views, trendlines, and competitor comparisons all reflect the latest available data, with weekly and monthly trended cuts available on top of the daily refresh.
AI share of voice versus share of search?
Share of search measures the percentage of Google searches in your category that include your brand name, which is a demand signal. AI share of voice measures the percentage of AI answers in your category that mention your brand, which is a supply signal for the new search surface. The two are complementary, but as buyers shift research into LLMs, AI share of voice becomes the leading indicator that share of search used to be.
What do I do when my AI share of voice drops?
The SoV Drivers view points to the specific prompts, models, and competitor mentions behind the drop, so you start with a concrete cause rather than guesswork. From there, each driver flows into the right action surface, whether that is a citation gap to close in the Backlinks Marketplace, a competitor mention to counter through the Engagement Engine, or a sentiment shift to remediate via Brand Knowledge.
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