CitePack is the AI citation platform that proves it. Paste your URL and it scores whether ChatGPT, Perplexity, Claude, and Google (Gemini) cite you — then generates the deploy-ready pages that win the citation and re-tests the engines to prove your before→after changed. Free scan in ~30s; $49 for the full report and fixes.
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Maker
📌
Hey Product Hunt 👋 I'm Navsheen, the maker.
I built CitePack because AI answer engines are quietly becoming the new front page — and most brands have no idea whether ChatGPT or Perplexity actually cite them, or recommend a competitor instead.
CitePack does one thing honestly: it measures whether the four big engines cite your site, ships the fixes that earn the citation, then re-tests the engines and gives you a dated before→after receipt. No guarantees an engine "will" cite you — no honest tool can promise that — just a measurement you can trust and the fixes to move it.
Fun proof-of-concept: I run it on my own company in public, misses included. Right now two of four engines still don't recognize us — and I post the receipts either way.
Free scan is genuinely free (no signup). Would love your honest feedback on the report. 🙏
Report
Would love to see a way to track citations over time on a dashboard, like a graph showing mention frequency per engine week by week after deploying fixes. Right now the before/after is just a single snapshot, but it would help to know whether those gains actually stick or decay.
Report
Maker
@abdullahlzd8 Thanks! That’s exactly how we think about it.
The $49 one-time report is designed to answer a simple question: “Did these specific fixes create a measurable change?” So it focuses on a validated before/after comparison.
Our subscription goes much further. It continuously monitors your AI visibility over time and tracks how mentions and citations evolve across supported AI engines. Instead of a single snapshot, you get a time-series view so you can see whether improvements are sustained, plateau, or even decline after future site changes or model updates.
We think that’s important because AI search isn’t static. Models change, websites change, and citations can change too. Long-term monitoring helps separate temporary wins from lasting improvements.
Report
Pasted my blog URL and got back a real score across all four engines in under a minute, not a vague "your SEO needs work" reply. Surprised how specific the gap analysis was, showed me exactly which queries Perplexity was picking competitors for.
We’re iterating quickly, so if you spend more time with it, I’d genuinely love to hear what resonated and where you think we can make the experience even better.
Report
love how it closes the loop with the re-test proof instead of just handing you advice and hoping for the best, that kind of before/after accountability is rare
That closed loop was actually one of the main reasons we started building CitePack. We felt there were already plenty of tools that could tell you what to do, but very few that came back to verify whether those recommendations made a measurable difference.
We’re still improving the product, but keeping ourselves accountable to the outcome—not just the recommendation—is a principle we don’t want to compromise on.
Would love to see a way to track citations over time on a dashboard, like a graph showing mention frequency per engine week by week after deploying fixes. Right now the before/after is just a single snapshot, but it would help to know whether those gains actually stick or decay.
@abdullahlzd8 Thanks!
That’s exactly how we think about it.
The $49 one-time report is designed to answer a simple question: “Did these specific fixes create a measurable change?” So it focuses on a validated before/after comparison.
Our subscription goes much further. It continuously monitors your AI visibility over time and tracks how mentions and citations evolve across supported AI engines. Instead of a single snapshot, you get a time-series view so you can see whether improvements are sustained, plateau, or even decline after future site changes or model updates.
We think that’s important because AI search isn’t static. Models change, websites change, and citations can change too. Long-term monitoring helps separate temporary wins from lasting improvements.
Pasted my blog URL and got back a real score across all four engines in under a minute, not a vague "your SEO needs work" reply. Surprised how specific the gap analysis was, showed me exactly which queries Perplexity was picking competitors for.
@mertaaz4of Thank you!
Really appreciate you giving CitePack a look.
We’re iterating quickly, so if you spend more time with it, I’d genuinely love to hear what resonated and where you think we can make the experience even better.
love how it closes the loop with the re-test proof instead of just handing you advice and hoping for the best, that kind of before/after accountability is rare
@selma1732277 Thank you, I really appreciate that.
That closed loop was actually one of the main reasons we started building CitePack. We felt there were already plenty of tools that could tell you what to do, but very few that came back to verify whether those recommendations made a measurable difference.
We’re still improving the product, but keeping ourselves accountable to the outcome—not just the recommendation—is a principle we don’t want to compromise on.