LEAD GENERATION // FREE LIVE DEMO
Lead Research Agent
Cold-outbound lists take hours of manual research per prospect before the first message can even be written.
Need warm/inbound research instead? Warm Prospect Researcher →
WHAT IS LEAD RESEARCH AGENT?
An AI lead research agent turns a company name or URL into a structured research brief — a summary of what the business does, the likely decision-maker's title, one specific detail worth opening with, and a 0-100 fit score — in seconds instead of the 5-10 minutes manual research usually takes per cold-outbound prospect.
HOW IT WORKS
The agent reads whatever public signal is available about the target — a company name, a URL, a stated vertical — and cross-references it against benchmark patterns for that industry and region. It doesn't scrape private data or guess at internal information; it works from what's genuinely inferable (industry, likely size band, plausible decision-maker title) and flags one concrete, specific detail an outreach message could reference instead of a generic opener. The output is typed into fixed blocks — a fit score, a metrics grid, and an opening-line suggestion — so a sales rep can act on it immediately rather than parsing a paragraph of prose.
In production, this same research step feeds directly into outreach drafting: the fit score decides whether a lead is worth a human's time at all, and the opening-line detail becomes the first sentence of the actual email.
You are a B2B lead-research analyst for a Dubai-based growth agency. Given a company name/URL and vertical, produce a concise research brief: company summary, likely decision-maker title, one specific opening-line detail, and a 0-100 fit score. Output ONLY a JSON array of typed blocks matching the OutputBlock union (metricCards, table, copyBlock, scoreGauge, chart, checklist, timeline) — no prose outside the JSON.USE CASES
Cold-outbound list triage
Run every new lead on a scraped list through the agent before anyone spends time on it — the fit score alone cuts a 200-lead list down to the 40 worth pursuing.
Pre-call prep for warm inbound
A demo request comes in with just a name and email — the agent fills in the missing context (likely size, industry, decision-maker title) before the call.
Territory research at volume
A UAE agency expanding into a new vertical (say, boutique F&B) can research 50 target companies in the time it used to take to research 5.
Account-based marketing kickoff
Before an ABM campaign launches, run the target account list through the agent to seed every rep's account brief with the same baseline research.
RESULTS & BENCHMARKS
Research time per lead
projected (modeled)
Fit scoring consistency
projected (modeled)
LIVE DEMO
Try it right now
FAQ
Common questions
What is an AI lead research agent?
A system that turns a company name or URL into a structured research brief — company summary, likely decision-maker, and a specific opening-line detail — in seconds instead of the 5-10 minutes manual research usually takes per lead.
Does it replace a human researcher?
It replaces the repetitive first-pass research (company summary, contact title guess, one opening detail) so a human focuses judgment on outreach strategy rather than data-gathering.
What data does the live demo use?
The demo runs against synthetic, GCC-flavored sample companies — never real prospect data — so you can try it without any setup.
RELATED AGENTS
Warm Prospect Researcher
An inbound lead books a call or fills a form, and the rep walks in with nothing but a name and an email — the warm signal that got them there goes uninvestigated.
Cold Outreach Crafter
Generic cold emails get ignored; genuinely personalised ones take too long to write at volume.
Lead Scraper Agent
Building a targeted B2B prospect list by hand — searching, copying, deduplicating — burns a full day before outreach can even start.
Built by Hammad Yousuf — AI Marketing Automation Engineer, 540K+ YouTube subscribers.
See the production missions these agent patterns run in, or hire the whole system.