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.
See the ads a brand runs and what they say.
Search store catalogues and extract product data.
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. Two independent web indexes rather than one: run the same question through both and roughly three quarters of what the second returns is missing from the first — it leans towards independent specialist sites where the first leans towards the large discussion platforms.
Research places, services, reviews, local competitors and nearby business options.
Find a company, hotel or restaurant by name or by what it does, then read what customers say about it: the score, how the stars break down, and the reviews themselves with the replies they got.
Search either catalogue, browse what ranks in a category, and open a listing: publisher, price, current version and update date, together with what users say about it. Each country runs its own store, so the market you name decides what you see.
Work with videos, channels, comments, transcripts, creator signals and audience reactions.
Read public discussions, profiles, posts, comments, complaints, audience themes and market signals.
Measure how sites and markets perform in search: keyword demand, rankings, competitors, links and domain profiles.
Pull useful numbers, tables and claims from PDFs, long pages, images and source documents.
Follow what is being published about a subject right now — up to a hundred articles from one query, each with its publisher, the exact time it went out and a link to the publisher's own page rather than to an aggregator. Headlines only: open an article to read what it actually says.
What a search brings up in a store: the product, its price, its star rating and the badges the store puts on it. Amazon reads one national store at a time — twenty-two of them, each with its own catalogue, currency and language; Walmart is the United States store. A result is a listing, not the product page, so it carries no description, seller or review text — and Walmart intermittently answers with every price missing, which the results say plainly rather than leaving it to read as free goods.
Scholarly articles, preprints and theses with how often each has been cited — and, for any one of them, what cites it and which other versions exist. Patents and applications alongside, narrowed by holder, inventor, filing date, office or legal status, each with the offices it stands in force in. Neither carries full text: open a result to read the paper or the patent itself.
Openings gathered from job boards, aggregators and employers' own career pages, with the employer, where the job is based, the kind of employment and the pay where it is stated. Two limits worth knowing before you ask: nothing comes back anywhere in the European Economic Area, because the source does not run there at all, and about three links in four lead to a job board re-posting the role rather than to the employer.
See what a brand is advertising right now: the wording of every version, the countries it runs in with each one's own start and end dates, the page it sends people to — and a description of what the creative actually shows. No platform publishes what an advertiser spends, and how often an ad was seen is available only in the markets whose rules require it.
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, news, maps, products, research, 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 →Recurring allowance for steady, ongoing research.
For light, occasional research. A comfortable daily allowance.
Choose StarterFor regular users who research most days of the week.
Choose PlusFor power users running frequent, larger research sessions.
Choose ProFor heavy daily use across many projects.
Choose MaxOur most generous plan for the most demanding workloads.
Choose Max+Prefer pay as you go? Buy credits once and spend them whenever — they don't reset monthly.
For everyday personal use
For advanced users
For professional use
For in-depth professional research
Credits are added to your balance instantly after checkout and used only for actual data tasks.