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Open-source CLI that asks AI engines your buyers' questions, repeats them n times, and reports raw counts: mention rate, position, share of voice vs competitors, and cited domains. Every answer saved for reproducibility. MIT.
Hi Product Hunt 👋
I built citeshine-audit because I wanted to know how AI assistants describe a product, and whether they get it right, with data I could check myself instead of a score.
The first thing I ran it on was my own brand-new company. Results from logged-out ChatGPT web, 13 prompts, once each (2026-10-13):
- 0/11 mentions on generic buyer questions
- Asked by name, ChatGPT said our domain was a 2021 Shopify phone-case store. That was the domain's previous owner.
The report from that run (per-prompt counts and excerpts) is in the repo as an example. The raw answer file for that run isn't published.
What it does:
- API engines for OpenAI, Perplexity, DeepSeek, Kimi, Grok, Claude and Gemini (your own keys). They are implemented but not yet tested end to end, and none has been used for a published run. So far only the ChatGPT web engine has.
- Web-UI mode that drives your own Chrome: ChatGPT (used for the run above), plus experimental Perplexity and Kimi. One tab, human pace, stops at the first captcha or login wall
- Mention rate, first-mention order, list rank, share of voice, cited domains
- `raw.jsonl` with every answer, plus Markdown/HTML reports
What it doesn't do (yet): dashboards, scheduling, alerts, sentiment scores or recommendations. Hosted tools like Profound, Peec AI, Otterly and AthenaHQ cover much of that. This is for people who want the raw numbers.
Feedback I'd love: which engines or metrics are missing, and how you'd like brand matching to work beyond substring + aliases. I'll re-run the same prompts with more runs per prompt and post the comparison either way.
Disclosure: I also run Citeshine (citeshine.com), a GEO service that helps Chinese SaaS and AI-tool teams selling overseas find and fix what AI gets wrong about them. The tool is free and MIT either way.
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About citeshine-audit on Product Hunt
“Find what AI gets wrong about your brand”
citeshine-audit was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #50 on the daily leaderboard. Open-source CLI that asks AI engines your buyers' questions, repeats them n times, and reports raw counts: mention rate, position, share of voice vs competitors, and cited domains. Every answer saved for reproducibility. MIT.
citeshine-audit was featured in Open Source (69k followers), SEO (38.3k followers), Artificial Intelligence (481.6k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 191.6k products, making this a competitive space to launch in.
Who hunted citeshine-audit?
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