AI share of voice
Track your Perplexity share of voice
Track whether Perplexity recommends your product when buyers research what to use. BackTalk asks your buyers' questions on a schedule, on your own Perplexity key, and captures the cited sources behind every answer.
Flat plans from $19/mo · 7-day free trial · runs on your own Perplexity key, no markup · View as Markdown
How it works
- 1
Define your topics
One topic is one buying decision: the questions buyers ask, the names your product goes by, and the competitors to watch.
- 2
BackTalk asks on a schedule
Each prompt is asked several times per probe on your own key, because answers vary run to run. Repeated samples are a signal; one answer is noise.
- 3
Read the standings, then the receipts
The dashboard shows your share of tracked-brand recommendations, the trend, and per-model splits. Every number opens into the actual sampled answers.
Web-grounded answers, with the sources on record
Perplexity answers from live web results and cites its sources, so its recommendations shift with the content it reads. BackTalk captures those citations per sampled answer: when your share of voice moves, you can see which pages moved it, and because BackTalk also watches Hacker News, Reddit, and the rest, the conversation behind the citation is often already in your inbox.
What you get
- Your Perplexity share of voice against the competitors you name, sampled on a schedule
- Per-model splits, so a model swap or a new release shows up as its own line
- The sampled answers as receipts, each brand mention classified: recommended, mentioned, or advised against
- Rank changes and newly recommended competitors filed into the same inbox as your Hacker News and Reddit mentions
- Trend charts with CSV export, and a public REST API plus MCP server over the same data
Frequently asked questions
How does BackTalk track Perplexity share of voice?
You define topics: the buying questions your customers ask, your product's names, and the competitors to watch. BackTalk asks Perplexity those questions on a schedule, several samples per prompt because answers vary run to run, then extracts which brands were recommended and in what order. Your share of voice is your slice of those recommendations, with the sampled answers kept as receipts.
Do I need my own Perplexity API key?
Yes. Probes run on your own Perplexity key, saved once in Settings, encrypted at rest, and only decrypted server-side at the moment a probe runs. There is no markup and no metering: you pay Perplexity pennies for the scheduled samples, and BackTalk stays a flat price.
Does BackTalk capture Perplexity's citations?
Yes. Every sampled answer stores the sources Perplexity cited alongside the extracted brand mentions, so you can trace a recommendation back to the pages that earned it.
Perplexity is one voice. BackTalk compares every model you bring a key for in one scoreboard, next to what developers say about you on Hacker News, Reddit, GitHub and more. How AI visibility works