
Overview Dashboard
LLM visibility, share of voice and citations in one timeline.
See exactly which sources ChatGPT, Gemini, Grok and Perplexity cite when they answer about your category

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Every citation, captured daily
Each tracked prompt runs across every major LLM daily, with the full citation list parsed and stored per response.
Sources ranked by influence
Citations are aggregated into a ranked source list, weighted by frequency, prompt category, and model coverage.
Gaps turned into actions
Missing source domains surface as citation targets, flowing into actionable insights and workflows.
Every domain cited across your tracked prompts is parsed, deduplicated and ranked by how often it appears in answers about your category. You see the real authority graph LLMs draw from, not what a generic SEO tool guesses.
Filter by model, prompt category, and time range to see which sources matter for Commercial intent versus Branded queries and how that list shifts week over week.

Slice every citation view by model, prompt category, intent type, date range, source domain and competitor set. The same dataset reshapes into the exact cut you need, whether that is Perplexity citations on Commercial prompts last week or every new source that entered the graph this month.
Export any filtered view to CSV in one click, so the exact cut you see on screen is the exact cut your team, your deck or your spreadsheet gets.

Drill into the exact URLs AI models pull when your domain is cited, with the prompts that pulled each one. The high performing pages become the template for everything you publish next.
Pages with declining citation share get flagged early, so you can refresh content before the slide compounds.

A direct view of which domains cite competitors but never cite you, ranked by citation frequency and prompt overlap. Each gap is a concrete outreach, content, or partnership target.
Stacks against your own Citation Sources view so you can see overlap, exclusivity and easy wins in one place.

Track how the citation graph for your category evolves as models update, new publishers gain authority and old sources fade. You see structural shifts before they show up in revenue.
Per model trendlines surface specific patterns, like Perplexity favoring Reddit threads or Gemini leaning on YouTube transcripts in certain categories.

Every cited domain you do not appear on becomes a playbook entry with the right action type already mapped: editorial outreach, guest content, paid placement, or Engagement Engine activation.
The same source list feeds the Backlinks Marketplace and outreach surfaces, so insight and action live in the same workflow.

Other tools surface the gap. CrowdReply closes it with actionable workflows.

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

Daily checks of the prompts your buyers ask, across every major LLM.

Vetted editorial backlinks, curated for your prompts and gaps.

Track visibility, share of voice, and citations side by side.
Not just whether AI mentions you, but how it talks about you.
Detect, set the truth, remediate when AI gets you wrong.
Citations parsed daily across ChatGPT, Claude, Gemini, Perplexity, Grok and more, with weekly trended views per model.








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

Citation analysis is the practice of measuring which source domains and pages LLMs cite when they answer questions about your category. It tells you which publishers, communities and competitor sites actually shape what ChatGPT, Claude, Gemini, and Perplexity say. In a Generative Engine Optimization context, it is the closest thing to a backlink graph for AI answers.
Traditional SEO citation tracking measures business listings or backlinks pointing to your site. AI citation analysis measures the sources AI models pull from when generating an answer, which is a different graph entirely. A page can rank on Google and never get cited by an LLM and vice versa, so the two views are complementary, not interchangeable.
It depends heavily on the category and the model. Perplexity leans into Reddit, YouTube, and news domains, ChatGPT and Claude favor established editorial and reference sites, and Gemini frequently surfaces Google properties and structured data sources. CrowdReply parses every citation per response, so you see the real mix for your prompts rather than a generic industry average.
Three levers move citations: authority on the right domains, content structured to answer the prompts buyers actually ask and presence on the source domains LLMs already trust for your category. Citation Analysis surfaces the gap on lever three by showing exactly which sources cite competitors but not you, which becomes the target list for outreach, editorial backlinks, and Engagement Engine activation.
Every tracked prompt runs daily across every supported model, with citations found and aggregated as soon as each response lands. Source lists, share of citation, and competitor gap views all update on the same daily cadence, with weekly and monthly trended views available on the same data.
Citation share of voice is the percentage of all citations across your tracked prompts that point to your own domain versus competitors and third party sources. It is a single number that captures how often your site is inside the answer rather than next to it and it trends over time so you can attribute lift to specific content, outreach, or backlink activity.
Yes, every view in Citation Analysis can be filtered or split by model, so you can see how your citation mix differs across ChatGPT, Claude, Gemini, Perplexity, and Grok. This matters because the cited source graph varies meaningfully by model and a strategy that wins on Perplexity often looks different from one that wins on ChatGPT.
Each gap maps to a Citation Playbook with the right action type already attached, whether that is editorial outreach, guest content, a paid placement on a relevant publisher, or an Engagement Engine activation. The same gap list feeds the Backlinks Marketplace, so you can move from gap to placement inside the same workflow rather than handing the list off to a separate tool.
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