You send one prompt—heeb fires it across multiple LLM platforms simultaneously. The API returns structured JSON. You'll see where your brand got mentioned, what sentiment each response carried, and which sources the AI engines cited. Manual checking? Not needed.
Track brand visibility in AI-generated responses. That's the main use case. When you're wondering if LLMs recommend your product during relevant user questions, heeb provides the answer (with scoring and sentiment analysis). SEO teams spot content gaps—places where competitors get mentioned but you don't.
Each query costs between one and three credits. Which model you're hitting determines the price. You start with 420 credits (400 base, plus a 20-credit signup bonus). Additional credits run $10 for 400. Credits stick around forever under the pay-as-you-go setup. The API supports location-targeted queries too—responses vary by region, and you'll see how.
Developer-friendly matters here. Structured responses mean you're not parsing free text to extract mentions and sources. Clean data comes back. It slots into dashboards without transformation work.
The credit system isn't particularly transparent upfront. You won't know which specific queries cost what until you use it. You'll figure it out through usage.
For market research platforms building tools that monitor brand presence across AI responses? Heeb handles the infrastructure piece. One API call replaces manual prompting across separate platforms. No more copying responses into spreadsheets.
