AI share of voice
Track your ChatGPT share of voice
Track whether ChatGPT recommends your product when buyers ask what to use. BackTalk asks your buyers' questions on a schedule, on your own OpenAI key, and shows your share of voice against competitors with the sampled answers as receipts.
Flat plans from $19/mo · 7-day free trial · runs on your own OpenAI 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.
The biggest answer engine your buyers use
ChatGPT is where most buying questions land first, and its answer is a recommendation you never see happen. A developer who asks it what to use gets a shortlist, picks from it, and never opens a search results page. Tracking your ChatGPT share of voice tells you whether you are on that shortlist, who is ahead of you, and whether a model update quietly changed the answer.
What you get
- Your ChatGPT 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 ChatGPT share of voice?
You define topics: the buying questions your customers ask, your product's names, and the competitors to watch. BackTalk asks ChatGPT 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 OpenAI API key?
Yes. Probes run on your own OpenAI 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 OpenAI pennies for the scheduled samples, and BackTalk stays a flat price.
Which ChatGPT models are probed?
The models you choose. Pick a model when you save the key, and compare several models side by side under "What runs each task" in Settings; the dashboard splits share of voice per model, so a model swap or a new release shows up as its own line.
ChatGPT 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
Also track: Claude · Gemini · Perplexity · Grok · DeepSeek