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CitePack
See your market through the AI decisions that shape it.
Ask ChatGPT, Claude, Gemini and Perplexity what to buy and each answers differently. CitePack shows who gets named, in what words, from which pages. A Work Plan ranks the work, an Action Pack holds the drafts, and Measure Again shows what changed.
Hi Product Hunt, I'm Navsheen, and I'm building CitePack.
Ask ChatGPT what to buy in your category and you get one answer. Claude, Gemini and Perplexity each answer differently, and the same engine can answer differently the next time. One answer tells you little about who AI names.
So CitePack asks properly: your buyers' questions, four engines, three clean repeats each, every answer kept word for word. Then it ranks the work those answers point to and measures the same decision again.
Each Decision Loop covers one offering, one buying category and one buyer country.
The loop goes in this order:
• Decision Map. CitePack drafts five buying questions, one for each buying situation. You read and approve every word, then they are sealed. Each goes to the four engines through their official APIs, three times each, with web search on. Each engine runs one fixed model, and every answer keeps the model that wrote it. 5 × 4 × 3 = 60 answers on Day 0.
• Work Plan. It ranks the work those answers point to, each item tied to the answers behind it.
• Action Pack. The material for each item: email drafts, page drafts, rewrites, correction notes and technical fixes.
• You act. You do the work and mark each item done.
• Measure Again. On Day 28, or any day you choose, the same sealed questions go out again: 60 more answers, 60 + 60 = 120 in the loop. You get a second Decision Map, a second Work Plan and a second Action Pack.
• Before/After Snapshot. Each engine is marked Same or Different, and the snapshot says so when nothing moved.
It gives no score and no league table, and it does not promise a recommendation. It does not guess why an engine answered the way it did.
Founding seats go to the first ten companies, first come, first served: one loop is $99, or ₹4,999 if you pay from India.
After the ten, one loop is $149 or ₹7,499.
Each further loop is $99 or ₹4,999 for existing customers.
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About CitePack on Product Hunt
“See your market through the AI decisions that shape it.”
CitePack was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #285 on the daily leaderboard. Ask ChatGPT, Claude, Gemini and Perplexity what to buy and each answers differently. CitePack shows who gets named, in what words, from which pages. A Work Plan ranks the work, an Action Pack holds the drafts, and Measure Again shows what changed.
CitePack was featured in SaaS (45.2k followers), Artificial Intelligence (482.9k followers) and Data & Analytics (6k followers) on Product Hunt. Together, these topics include over 200.8k products, making this a competitive space to launch in.
Who hunted CitePack?
CitePack was hunted by CitePack. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how CitePack stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
CitePack
Hi Product Hunt, I'm Navsheen, and I'm building CitePack.
Ask ChatGPT what to buy in your category and you get one answer. Claude, Gemini and Perplexity each answer differently, and the same engine can answer differently the next time. One answer tells you little about who AI names.
So CitePack asks properly: your buyers' questions, four engines, three clean repeats each, every answer kept word for word. Then it ranks the work those answers point to and measures the same decision again.
Each Decision Loop covers one offering, one buying category and one buyer country.
The loop goes in this order:
• Decision Map. CitePack drafts five buying questions, one for each buying situation. You read and approve every word, then they are sealed. Each goes to the four engines through their official APIs, three times each, with web search on. Each engine runs one fixed model, and every answer keeps the model that wrote it. 5 × 4 × 3 = 60 answers on Day 0.
• Work Plan. It ranks the work those answers point to, each item tied to the answers behind it.
• Action Pack. The material for each item: email drafts, page drafts, rewrites, correction notes and technical fixes.
• You act. You do the work and mark each item done.
• Measure Again. On Day 28, or any day you choose, the same sealed questions go out again: 60 more answers, 60 + 60 = 120 in the loop. You get a second Decision Map, a second Work Plan and a second Action Pack.
• Before/After Snapshot. Each engine is marked Same or Different, and the snapshot says so when nothing moved.
It gives no score and no league table, and it does not promise a recommendation. It does not guess why an engine answered the way it did.
Founding seats go to the first ten companies, first come, first served: one loop is $99, or ₹4,999 if you pay from India.
After the ten, one loop is $149 or ₹7,499.
Each further loop is $99 or ₹4,999 for existing customers.
For a package of loops, email founder@citepack.com.
The map is ready 30 minutes on average after you approve your questions, and you get a full refund if it isn't delivered within 24 hours.
• Try the free sample, one buying question on two engines: https://citepack.com/free-sample
• See the illustrative example Decision Map: https://citepack.com/example
• See the illustrative example Work Plan & Action Pack: https://citepack.com/example-work-plan
• How Measure Again is run: https://citepack.com/methodology
• Founding seats and pricing: https://citepack.com/pricing
I would like your honest read on the questions in the example. Ask me anything in the comments.