Find companies like five you name, and research each one
The sentence
Companies like otter.ai, fireflies.ai, fathom.video, grain.com and tldv.io
Five websites and nothing else: no industry, no keywords, no size. Find reads the five examples, works out that they are AI meeting notetakers sold to teams, searches on that, and has an AI check every company it finds against the category before you see it. Each lookalike then gets two research questions answered from its own pricing and product pages, with the reason next to every answer.
- Examples given
- 5 websites
- Lookalikes found
- 8, each with why it fits
- Search and screening
- 24 seconds, under a cent of AI
- Researched
- 8 of 8 rows, in 12 seconds
- Answered from their own pages
- 7 pricing models, 7 enterprise plans
- Cost of the research
- 8 credits, $0.26 of AI
Build
- 1
Five websites, nothing else
On Data, Find, Web, the five example companies go in the "Or companies like" box, separated by commas.
No description, location or size was given. Those boxes are there when you want to narrow the search.

Run
- 2
Eight lookalikes, each with the reason it fits
In 24 seconds it read the examples, searched on the category they share, and screened what came back with a small AI model, for under a cent. The five examples themselves are never in the list.
Eight companies passed: MeetGeek, Fyxer, Supernormal, Granola, Jamie, Sembly AI, Krisp and Noota. Each row says where it came from and why it fits, such as "AI meeting recorder and note-taker for video conferencing platforms".
The search also has its own link, so the same search can run again later or from another tool.

- 3
Two research questions for every company
Enrich 8 takes the list to Enrich with the websites filled in. Two ready-made AI questions were added from the suggestions: Pricing model (free, freemium, free trial, paid only or contact sales) and Sells to enterprise (yes or no).
The form shows the cost before anything runs: 1 credit a row for the company research, and the AI on the account's own key, capped for the sheet.

Result
- 4
A researched list in 12 seconds
All 8 rows came back with the company research and both answers, for 8 credits and $0.26 of AI. Every answer has its reason, quoted from the company's own pages: "Pricing page lists a free Basic plan ($0), Business at $14/user/mo and Enterprise at $35/user/mo."
Seven of the eight are freemium or offer a free trial, and seven have an enterprise plan. Where a page didn't say, the cell is left empty and the reason says so: Supernormal's homepage links to pricing but shows no plans.

What happens next
- 5
Keep it, send it, or make it an agent
The sheet isn't stored: download the CSV, send the rows to your CRM or Google Sheets, or save it as a link that rebuilds it fresh whenever it's opened.
To get new lookalikes every week, the same search can become an agent that only adds companies it hasn't seen before, finds the right person at each, and holds them for your approval.
Questions
- How does it know what "like these" means?
- It reads what is known about each example (its own site and, when you've connected one, your company data provider), asks a small AI model what category they share, searches on that, and checks every company it finds against the category. Ones that don't fit are left out, and each one that stays says why.
- What does a search like this cost?
- The search and its screening cost no credits; the screening uses a small AI model, under a cent here. Researching the companies is 1 credit a row, and AI questions use your AI key or the AI included in your plan.
- What if a company's site doesn't answer a question?
- The cell stays empty and the reason says what was missing, such as a pricing page with no plans on it. Nothing is guessed to fill a gap.
Build this one in a sentence
500 credits included, no card. Nothing sends until you say so.