Product video
EarShots product walkthrough.
This 73 second video shows how EarShots listens to developer conversation, sorts it into Questions, Friction, Buying, and Praise, tracks the prompts buyers type into AI search engines, and drafts documentation-grounded replies that a person approves before anything is posted.
What the video shows, section by section.
Where the listening happens.
EarShots reads developer conversation on GitHub, X, LinkedIn, Reddit, and the open web, plus the places coding agents look when they decide what to recommend. Every post lands in one queue.
How posts get sorted.
Each mention is filed as a question, friction, a buying signal, praise, or muted noise. The grouping tells a team what needs a reply today and what is just chatter.
The AEO and GEO prompt universe.
A workspace tracks a fixed set of prompts that buyers type into AI search engines. The video shows the prompt universe board with prompt themes, mention rate, and citation rate for the tracked prompts.
Ground Truth before anyone replies.
For questions and friction, the agent searches connected sources, writes a draft, and shows the passage it used. A person checks the facts, edits or discards the draft, and posts it from the original thread. Nothing is auto-posted.
Competitor Signal and measurement.
The video closes on competitor comparisons, MCP and CLI access, and the reports that track sentiment, citation share, and time to reply.
Questions about the demo.
- How long is the EarShots product walkthrough?
- One minute and thirteen seconds. It covers listening, classification, the AEO and GEO prompt universe, Ground Truth drafting, Competitor Signal, MCP, the CLI, and human approval.
- Does EarShots post replies automatically?
- No. The agent writes a draft grounded in your documentation. A person checks the facts, edits it, and posts it from the original thread.
- Where can I read more about the features shown in the video?
- The Resources page holds the documentation, the developer marketing whitepaper, the AI Search guides, and the glossary.
Next steps.
Read the developer marketing whitepaper, browse the AI Search guides, or see the product docs for the workflows shown in the video.