
Overview Dashboard
LLM visibility, share of voice, and citations in one timeline.
See how AI models describe your brand, what drives that tone, and exactly what to fix. Every driver comes with the quotes behind it and a checklist of actions to change the story.

Trusted by 5,000+ brands
Every mention gets captured and scored
Your tracked prompts run across AI models and every answer that mentions your brand gets classified as positive, neutral, or negative. It all rolls up into one net sentiment score you can watch over time.
AI explains what drives the tone
Mentions get clustered into sentiment drivers: the themes lifting you up and the ones costing you, each backed by mention counts, trends, and real quotes pulled straight from AI responses.
Work the checklist, watch the score move
Every driver opens an action centre with tasks across your site, review profiles, socials, and Reddit. Completed actions clear automatically as models recrawl, and the score follows.
Most sentiment tools stop at a number. This one tells you why the number is what it is and hands you the fix.
Net sentiment score
Every brand mention across your tracked AI answers is classified as positive, neutral, or negative, then rolled into a net sentiment score. You see the full distribution behind it, how many mentions sit in each bucket, and how the score is trending, so a shift in tone shows up before it shows up in revenue.

Sentiment drivers
AI clusters your mentions into named drivers, split into two lists: what is lifting your sentiment and needs reinforcing, and what is costing you and needs fixing. Each driver carries its mention count, its trend, and the real quotes behind it, so "AI is lukewarm about us" becomes "onboarding complaints, 142 mentions, growing."
Action centre
Open any driver and you get a checklist of concrete actions across your site, review profiles, socials, and Reddit, each sized by the sentiment points on the table. Completed actions clear automatically as models recrawl your sources, so the checklist always reflects what still needs doing, not what you already fixed.
Quotes and sources
Each driver includes an AI summary synthesized from your mentions plus the top quotes from actual AI responses, with the prompt that triggered each one and the sources cited. Filter quotes by model, open the full response, and trace any claim back to the pages and threads feeding it.
Competitor head to head
Pick a competitor and compare net sentiment, positive rate, share of voice, average position, and models won, side by side with a clear verdict on who leads where. Sentiment scores also chart across every brand in your market, so you always know if your problem is tone, visibility, or both.
By model and by topic
Sentiment breaks down per AI model, so you can spot the one model that turned sour while the rest stayed warm. Top topics show what gets discussed alongside your brand and how each theme skews, from pricing to support, so you know which conversation is helping and which is hurting.
Other tools surface the gap. CrowdReply closes it with the Engagement Engine.

LLM visibility, share of voice, and citations in one timeline.

Track visibility, share of voice, and sentiment side by side.
See which sources LLMs cite and where your gaps are.

Track keywords across Reddit and join the threads AI learns from.
Brand sentiment tracked across ChatGPT, Gemini, Perplexity, Google AI Mode, Google AI Overviews, Grok, and Microsoft Copilot, with per model breakdowns on every driver.








Trusted by 5,000+ brands


“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.”
“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”
“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”
“We’ve had an incredible ROI using CrowdReply at our app, Optimal Bet. In fact, it’s our best marketing channel!!”

Increased sales

It measures how AI models like ChatGPT, Gemini, and Perplexity describe your brand when they mention it in answers to buyer questions. Every mention is classified as positive, neutral, or negative and rolled into a net sentiment score, so you can tell whether AI presents you as a recommendation, a neutral option, or a brand with caveats attached.
No. Traditional sentiment analysis tools score text you feed them, like surveys or tickets. CrowdReply scores what AI models say about your brand in their own answers, which is a channel those tools never see and one that increasingly shapes purchase decisions before anyone reaches your site.
Drivers are the themes AI keeps repeating about your brand, clustered automatically from your mentions. They split into two lists: what is lifting your sentiment and worth reinforcing, and what is costing you and needs fixing. Each driver shows its mention count, trend, an AI written summary, and the actual quotes behind it.
Every driver opens an action centre with a checklist of tasks across your site, review profiles, socials, and Reddit, each showing the sentiment points it could recover. As you complete tasks and models recrawl the sources, actions clear automatically and the score reflects the change. No guessing which fix matters most.
Yes. Each driver includes top quotes from real AI responses along with the prompt that triggered each one, filterable by model. You can open the full response and see the sources it cited, so every score traces back to answers you can verify, not a black box number.
Yes. Pick a competitor for a head to head across net sentiment, positive rate, share of voice, average position, and models won, with a verdict on who leads each metric. A sentiment chart also ranks every brand in your market, so you see exactly where you sit.
ChatGPT, Gemini, Perplexity, Google AI Mode, Google AI Overviews, Grok, and Microsoft Copilot. Sentiment breaks down per model on every view, so you can tell whether a tone problem lives in one model or spans all of them.
Your tracked prompts run on an ongoing schedule and every new answer is scored as it lands, with themes synthesized from your most recent responses. Filters cover recent windows with movement shown against past periods, so a tone shift surfaces within days of starting, not after the quarter ends.
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