Use case
Stop writing into the void. IntentHunter surfaces recommendation requests, category-pain threads, and unmet asks where people describe problems in their own words.
Why this matters
Most content calendars are filled with what the marketer thinks the audience cares about. The post lands, engagement is flat, no one is sure why. Without real audience pain as the input, you're guessing, and feeds punish guessing.
Keyword tools surface high-volume terms, but high-volume doesn't mean high-intent. A post on "best CRM" competes with HubSpot. A post written from a specific public pain point can be more specific and more useful to the person asking.
Manual idea-mining takes time, and many threads are off-topic, sentimentally flat, or already answered. You need scored signal, not the raw firehose.
What you get
Scored signals include the original thread context: people describing the problem in their own language. Use that phrasing to shape posts that sound closer to the market.
The "category pain" intent type surfaces threads where users vent about your space without naming any specific product. Goldmine for category-defining angles ("here's what's broken about X tools in 2026") that don't require a vendor pitch.
Threads where someone asks "what's the best tool for X" show how your audience phrases the search. Use that language to shape a more relevant post.
A single scored thread can become a blog idea, social post, product note, sales note, or customer-research snippet, same source pain, adapted to the channel.
How it works
The more specific the category, the more relevant the scoring.
Both intent types double as content fuel: category pain for opinion pieces, recommendation requests for buying-guide angles.
Quote (or paraphrase) the original ask, answer it the way you wish someone had answered it for you, and cross-post wherever your audience reads.
FAQ
Create a project, choose the sources your plan supports, and review scored signals as scans run.
