Claude cites my docs, ChatGPT ignores them. Mapping the asymmetry across 4 months.
Four months tracking across all three engines for a devtool. The asymmetry is real and it's category-specific.
For my product (a developer CLI tool with solid documentation):
Claude: cites my docs pages on 7/10 technical queries. Specifically pulls from pages with dense code blocks and H2-structured explanations.
ChatGPT: cites me on 2/10 queries, always from Reddit or HN threads, never from my own docs.
Perplexity: 5/10, mostly from my comparison pages and one blog post that got picked up by a mid-tier dev newsletter.
This matches something I've read elsewhere: Claude weights documentation quality and code-block density. ChatGPT weights social proof from developer communities. Perplexity weights freshness plus link authority from press/comparison pages.
So I've started doing this weird thing: when I publish a docs page, i also post a summary of it to r/devtools as a legitimate 'here's how to do X' answer. Same content, two retrieval paths. Claude gets the source. ChatGPT gets the social proof derivative.
It's extra work but both scores are moving now.
Anyone else doing this multi-channel content thing intentionally? Or did you figure it out by accident like I did?
5 replies
- Dave A.
Genuine question: how do you handle the Reddit mod situation? A lot of dev subs are now explicitly banning founder self-promotion. Do you have a personal account with history or are you posting fresh?
- Leo H.
The Claude/ChatGPT split is real for my category too but flipped. Claude doesn't really cite me at all — my product is in a non-dev category where I don't think Claude has strong doc coverage. ChatGPT cites me via Reddit. So the engine split is definitely category-specific, not universal.
- Petr VlčekFounder
Petr here — we see the Claude-favors-docs pattern across nearly every devtool domain we monitor. Best hypothesis we have: Claude's training/retrieval gives more weight to anything that reads like reference material with code examples and explicit version numbers, while ChatGPT down-weights bare docs and up-weights pages that read like opinion + recommendation. The same content split into a 'why we built it this way' essay tends to flip ChatGPT but doesn't move Claude either way.
- Milan Novák
Practical test we ran: published two versions of the same 'getting started' page — one as a clean reference doc with code blocks, one as a narrative tutorial with screenshots and 'why' explanations. Same canonical, served via querystring. After 6 weeks Claude cited the reference one 4x more often, ChatGPT cited the narrative one 3x more. Not a big sample but consistent with what Petr is describing.
The multi-channel content thing — posting doc summaries to Reddit for the ChatGPT path — is exactly what I've been doing and it does work. The mental model I use: I write content once but distribute it to each engine's preferred trust source. Own docs for Claude, Reddit/HN for ChatGPT, comparison pages for Perplexity.