kept hitting the same wall doing SEO: every tool hands you a keyword list, but none hand you an actual content map you can plan a whole site around.
So I built TopicMap - paste one topic, get 60-90 article ideas grouped into 7-9 pillars, each tagged with search intent. A cluster you can hand straight to a writer. Free, no login.
The interesting part: no LLM
The first version used an LLM to generate the map. Two problems: it cost money per generation, and the difficulty scores were guesses - a real SEO would never trust them.
So I rebuilt it on real Google Autocomplete data instead:
- Recursively expands your topic through Google's Suggest endpoint (2 levels deep) to harvest 100-800 real queries people actually type
- Clusters them into pillars by intent (how-to / commercial / transactional / questions)
- Filters out local-business + geo noise
- Tags each with intent + an estimated difficulty
No API key, no per-call cost, ~4s per map. Every keyword is a query people genuinely search - not invented.
Honest caveats
- Difficulty is estimated (from query specificity), not live SERP data. That's the next thing if people find it useful.
- Narrow topics return thinner maps - because there's genuinely less real search demand. It shows you what's real, it doesn't pad.
Try it
Free, no login: https://topicmap.app
Would love blunt feedback from SEO + content folks: is the output good enough to plan real content from, or does it read thin? What would make it worth paying for?