Trawl
Research the open web in plain language.
The old way
Market and competitor research lives outside your tools. You open forty tabs. You skim reviews. You hand a brief to a contractor and wait a week. You paste the findings into a doc that nobody connects back to the decision.
The facts you gathered never touch the data you already have. Vernais closes that gap: it lands external research in the same brain that reasons over Stripe, Jira, and Zendesk. External facts and internal facts, side by side, in one investigation.
01 · What it is
You don’t fill out a form. You have a conversation. Ask for what you want; Vernais reverse-prompts for the settings that matter, gathers the URLs, shows you what it found, and waits for your go.
01
You ask. “Scrape reviews of Northwind.” That’s the whole request.
02
Vernais asks back. How many pages per source? How deep: light, medium, or thorough? It surfaces the choices as tappable cards, not a settings panel.
03
Vernais gathers the URLs. It runs quality search across multiple engines and assembles a real source list.
04
Vernais splits public from paid. Free-to-read sites go in one bucket; paid or API-gated sources it names explicitly, so you decide. By default, Vernais skips the paid ones.
05
You confirm. Only when you tap go does a single byte get scraped.
06
It runs, and you watch. A live status widget streams the count.
02 · Quality first
A scrape is only as good as the pages it reads.
Most scrapers grab whatever a single search engine word-matches. Ask for “best running shoes” and you get Best Buy, a dictionary definition of “best,” and a listicle of restaurants. Vernais gathers SEO-grade URLs the way a careful researcher would.
It queries several search engines at once and interleaves the results, so the strongest sources rise regardless of which engine found them.
Dictionary pages, definition sites, and known-noise domains are dropped before anything is read.
No single domain can dominate the list, so one official page can’t drown out the community and review sources that count.
Reddit, Trustpilot, G2, official sites, forums, and the outlets people actually cite.
03 · Live status
You’re never watching a black box. The moment a scrape starts, a status widget appears in the chat and updates as it works.
A scrape is thorough, not instant. Many sources across many pages take real minutes. An early status showing a handful of items is progress, not a stall.
04 · The Company Brain
This is the part standalone scrapers can’t do. Scraped results don’t sit in a separate export. They become searchable evidence inside Vernais, right next to your connected data.
05 · On demand
Think of it as a researcher who never gets tired of tabs.
01
No query syntax, no scraper config.
02
Sources, depth, public vs paid, surfaced for your approval.
03
Dozens of pages across dozens of domains, so you don’t.
04
Findings land in chat, ready to question, and ready to become a Signal, a Hypothesis, or an Initiative.
The web stops being a place you visit. It becomes a place Vernais brings to you.
The whole picture
The Trawl lane sits beside Data Lookup, Deep Investigation, and Web Search: one surface, the right tool per question.
01
You ask, Vernais reverse-prompts, you approve, then it runs.
02
Multi-engine, junk-filtered, domain-diverse, SEO-grade sources.
03
Running / items / pages / sources, stoppable any time.
04
A searchable corpus you can question next to your own data, external clearly marked.
05
One surface for every question, the right lane picked per question.
Ask for the research; the open web lands where you already work.