
Overview Dashboard
LLM visibility, share of voice, and citations in one timeline.
Find the prompts your buyers ask AI engines, with volume, fanouts, and competitor gaps attached.

Trusted by 5,000+ brands
Seed prompts in minutes
AI suggestions tuned to your category, GSC queries, and competitor prompts populate one research workspace.
Volume and fanouts attached
Every suggested prompt comes with estimated monthly volume, query fanouts, and the citation sources behind it.
From research to tracked
One click sends the prompts you pick to your tracked library, where daily LLM and AI Overview scans take over.
AI suggestions tuned to your brand, category, and competitor set. Every suggestion is grounded in what AI engines are actually being asked about your space, not a generic keyword list.
Suggestions refresh as your brand knowledge and competitor set update, so the research workspace evolves with your positioning instead of staying frozen at signup.

Every researched prompt comes with an estimated monthly volume score, so you know which prompts are asked frequently and which sit in the long tail before deciding what to track.
Volume is benchmarked against real query patterns across ChatGPT, Claude, Gemini, Perplexity, and Grok, not Google search volume that lags AI behavior by months.
Every prompt expands into the sub queries AI engines decompose it into before answering, surfacing adjacent prompts your buyers never type but the model answers internally.
Fanouts open content angles competitors will not see, and every fanout can be added to your tracked library as its own prompt in one click.
See every prompt where competitors are cited by AI engines and your brand is not. Each gap is ranked by competitor presence, prompt volume, and how often your category appears.
Gap data flows directly into the Engagement Engine, so the research workspace doubles as a roadmap for closing the visibility gap.
Pull your top Google Search Console queries straight into the research workspace as seed prompts. Every query is auto reframed into the conversational format AI engines actually receive.
Existing SEO investment becomes the starting point for AI search research, with no manual prompt writing required.
Every researched prompt is auto classified as Commercial, Competitor, Branded, or Other, so the research workspace is organized by intent the moment a prompt is suggested.
Filter by classification to research one slice at a time (only Commercial, only Competitor) instead of wading through a flat list of mixed intent prompts.
Other tools surface the gap. CrowdReply closes it with the Engagement Engine.

LLM visibility, share of voice, and citations in one timeline.
The exact domains AI models cite for your space.

Vetted editorial backlinks, curated for your prompts.

Track visibility, share of voice, and citations side by side.

Not just whether AI mentions you, but how it talks about you.
Research prompts across ChatGPT, Claude, Gemini, Perplexity, Grok, Google AI Mode, and Google AI Overviews.








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

Prompt research is the discovery layer that comes before tracking. It surfaces the conversational prompts your buyers ask AI engines about your category, with volume, fanouts, and competitor presence attached to each one, so you can decide what to track based on data rather than guesswork.
Keyword research is built around Google's ranked list model, where keywords map to pages. Prompt research is built around the conversational and citation model of AI search, where prompts map to AI generated answers and the sources cited inside them. The unit of measurement is different and so is what you do with the result.
AI suggestions are generated from your Brand Knowledge graph (category, positioning, competitors, target buyers) combined with observed query patterns across ChatGPT, Claude, Gemini, Perplexity, Grok, Google AI Mode, and Google AI Overviews. Suggestions are not lifted from Google keyword tools, which lag AI search behavior by months.
Prompt volumes are estimates, not exact counts. They are derived from cross model query observation and statistical modeling, and are most useful as a relative ranking signal: which prompts in your category are asked frequently versus rarely. Treat them like Ahrefs or Semrush keyword volume, not Google Search Console clicks.
Yes. GSC import pulls your top organic queries straight into the research workspace as seed prompts, auto reframed into the conversational format AI engines actually receive. It is the fastest way to bridge an existing SEO investment into AI search visibility tracking.
Trending prompts are queries growing in frequency week over week across AI engines in your category. They surface new buyer behaviors before they appear in Google keyword tools, so you can track an emerging prompt before competitors notice it exists.
Use a combination of estimated volume, intent classification (Commercial, Competitor, Branded, Other), competitor presence, and current brand visibility. The research workspace ranks every prompt on these axes, so prioritization is data led rather than gut led.
Selected prompts move to Prompt Tracking with one click, where daily scans across every AI engine begin automatically. Visibility, citation sources, brand mentions, sentiment, and competitor coverage populate alongside each prompt from the next refresh forward.
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