See if ChatGPT, Claude, and Perplexity
mention your brand.
Type your domain and three prompts your buyers might ask. We run them against the three big LLMs and show you who got named, who got cited, and who didn't make the answer. Built for founders and marketers who suspect AI search is sending traffic somewhere, just not to them.
Three prompts, three LLMs
Real prompts your buyers type
Pick any three. The full 50-prompt suite covers the same five intent buckets at depth.
- “best CRM for a 5-person startup”
- “top project management tools for engineering teams”
- “best email marketing platform for ecommerce under 10k subscribers”
- “what's the best AI writing tool in 2026”
- “Notion vs Linear for engineering team”
- “HubSpot vs Salesforce for a Series A startup”
- “Webflow vs Framer for a marketing site”
- “Klaviyo vs Mailchimp for Shopify”
- “how do I run cold email at scale without getting flagged”
- “what software do agencies use to manage client SEO”
- “best way to track AI search visibility for a SaaS brand”
- “tools to automate Reddit marketing safely”
- “is Jasper still worth it in 2026”
- “is ConvertKit good for course creators”
- “does anyone actually use Pipedrive”
- “is Superhuman worth $30 a month”
- “cheapest CRM with email sequences and pipeline reporting”
- “affordable alternative to Ahrefs under $100 a month”
- “free tools to track brand mentions in ChatGPT”
- “best paid SEO tool for solo founders”
How the share of voice math works
Build the prompt set
We use a 50-prompt suite split across category, comparison, use-case, validation, and pricing intents. The free check runs 3 prompts you pick. The full report runs the locked 50.
Run against three LLMs
Same prompts get sent to ChatGPT, Claude, and Perplexity in parallel. We pull the answer text and parse for named brands and cited sources.
Count and weight
First-named brand counts heavier than last-named. Sourced citations (where the LLM links a URL) get a separate score from textual mentions. Output is share of voice as a percentage of total brand mentions across the prompt set.
Compare to category
Your SOV is compared to the top 3 mentioned competitors in the same prompt set. You see the gap to the most-mentioned brand and the median brand in your space.
Five concrete answers
Which LLM mentions your brand most (ChatGPT vs Claude vs Perplexity)
Who your actual AI search competitors are (often different from your Google Ads competitors)
Your share of voice baseline so future tracking is meaningful
The gap to the most-mentioned brand in your category
Where to focus: content gaps, missing Reddit threads, weak Wikipedia presence
When the free tool stops being enough
Three prompts give you a snapshot. If you need weekly tracking, source-level citation breakdowns, region splits, or team access, you've outgrown the free tool. Paid scanners like Profound or AthenaHQ start around $499/mo for that. Ranqer's managed ChatGPT Ads goes further: we don't just track, we move the number by buying placement.
Frequently asked questions
It's a directional read, not a full audit. Three prompts tell you whether your brand is in the model's answer space for those specific queries. A real share-of-voice baseline needs 30-50 prompts run on a schedule, which is what paid scanners and our team service handle.
Stop measuring. Start moving the number.
Ranqer runs paid ChatGPT Ads that put your brand in the answer. From $500/mo plus a share of ad spend. No long contracts.