Audience and opinion research
Analyze reviews, comments, posts and reactions.
Find what people are complaining about with this product
Reviews, comments, video transcripts and public discussions, collected and structured with citations, right in your chat. Plus maps, websites and PDFs when you need them.
| Theme | Mentions | Sources | Example |
|---|---|---|---|
| Quality drops over time | high | “a pretty big nosedive” | |
| Cancellation friction | high | “they just pause it” | |
| Box arrives warm | mid | “warm and damp” |
Choose a task, ask in chat and get structured data back.
Analyze reviews, comments, posts and reactions.
Work with videos, transcripts and comments.
Collect places, ratings, reviews and contacts.
Compare competitors, pricing and positioning.
Extract product data from public pages.
Extract data from PDFs and long sources.
Build lead lists and company briefings.
Let your AI collect and compare information.
Each example shows the exact prompt, the sources used, what it cost, and links to the underlying data.
Nine complaint themes, pulled from real Reddit and YouTube comments.
What owners say in the comments the glowing reviews skip.
60+ verbatim phrases for copywriting, grouped by register.
Sources you can work with
Keep the mental model simple: choose the kind of source you need, then ask your AI to search, open, compare, extract or summarize public data.
Find pages, open sites, compare public information and turn messy pages into structured results.
Research places, services, reviews, local competitors and nearby business options.
Work with videos, channels, comments, transcripts, creator signals and audience reactions.
Read public discussions, profiles, posts, comments, complaints, audience themes and market signals.
Pull useful numbers, tables and claims from PDFs, long pages, images and source documents.
Point your AI assistant at our capabilities doc and let it tell you — in your own words — exactly what it can research for you with BRONTIR.
Search, maps, websites, videos, social platforms and documents through one MCP layer.
Ask naturally and get the result inside your LLM client.
No custom rules, scripts or extra dashboards.
Just a few simple tools that keep your assistant fast and focused — with dozens of sources and services behind them.
Every source comes with a short summary and a note on how useful it is, so your assistant skips the noise.
Your assistant reads just the parts that matter, not entire pages — so each task is faster and costs you less.
Setup is self serve and takes a minute — connect over MCP with OAuth, no install, then ask.
Sign up and confirm your email — no card required.
10,000 credits added automatically to try real tasks.
Add the hosted MCP endpoint and authorize with OAuth. Nothing to install.
Find, extract, compare, summarize or structure public data.
Start free, then choose a monthly plan or pay as you go with top-up credits. No sales call required.
See what individual tasks cost — searches, page reads, transcripts & more →