Prospect Research by SellBetter

Walk into every meeting armed with their own words. Paste a LinkedIn URL and this agent comes back with a Pre-Meeting Profile built around verbatim quotes from podcasts, articles, talks, and press — plus career arc, top LinkedIn posts, recent company news, and a four-quadrant list of specific things you can layer into the conversation.

Screenshots

One LinkedIn URL in, a self-contained pre-meeting profile out — with Copy-as-JSON and Copy-as-Markdown one click away.

A clean read on who they are now, the themes they keep coming back to, and the five LinkedIn posts that actually hit this month.

Verbatim quotes from podcasts, articles, and press — each one sourced and one click from the original. The whole agent is built around this section.

Current role from LinkedIn, past roles reconstructed from the open web with citations. No blank boxes when the profile is sparse.

The one-screen company brief plus the last ~30 days of news, badged by category — funding, leadership, product, press.

A four-quadrant ammo stack. Every bullet one line, every bullet sourced. Pick three, weave them in.

Their Own Words, Lined Up With Sources

The most credible thing you can say in a sales conversation is what they've already said themselves. This agent runs eight parallel searches across the open web — podcasts, long-form articles, Substack, Medium, talks, press, YouTube, and X — and returns artifact cards with the actual quotes, the in-context note, and a clickable link to the source. No "your experience may complement theirs" filler. Real things they said, ready to reference.

  • Quotes grouped by source artifact so you see the through-line in one place

  • Every quote shows publication, date, and a direct link to verify

  • Expandable cards reveal every quote from a given source, not just the headline one

Reasons To Layer, Already Stacked For You

Sales is stacking signals. The "Reasons to Layer" section gives you a four-quadrant ammunition stack — person, their business, what they've said socially, and their company — with five to fifteen specific facts per quadrant. Every bullet has a source. Every bullet is one line. Pick three, weave them in, watch the conversation shift.

  • Specific facts only — never "they seem driven by impact"

  • Each fact carries a source citation and, where possible, a direct URL

  • Built to be skimmed during the call, not just before it

Top Five LinkedIn Posts, Ranked By What Hit

You don't need to scroll their feed. The agent pulls the last 50 posts and surfaces the top five by combined likes, comments, and reposts — alongside a one-paragraph read on the themes they keep coming back to and the cadence they post at.

  • See exactly what's resonating with their network right now

  • Theme tags so you can match their language in your reply or follow-up

  • Personal signals (life-outside-work themes) called out separately

A Career Arc Even When LinkedIn Is Sparse

Some prospects keep their LinkedIn locked down. When experiences are missing, the agent falls back on a Perplexity-powered career deep-dive that reconstructs their path from the open web — so the Career Arc section still renders with real roles, dates, and education, not a blank box.

  • Current role, previous roles, and education in one scannable timeline

  • Backfills automatically when LinkedIn returns nothing

  • Flags any role data that came from the web instead of LinkedIn so you know what's verified

One URL In, One Self-Contained Report Out

The full report is also a structured JSON payload, embedded right inside the HTML and one click away via the Copy buttons. Hand it to a downstream outreach drafter, an ICP scorer, or just paste it into your CRM note — every section is keyed and ready to consume.

  • Copy as JSON for other agents

  • Copy as Markdown for CRM notes, Slack threads, or email

  • Full reference list at the bottom of every report so your team can audit any claim

Built To Hand Off To The Rest Of Your Stack

  • Copy as JSON for other agents

  • Copy as Markdown for CRM notes, Slack threads, or email

  • Full reference list at the bottom of every report so your team can audit any claim

Agent Workflow

Gathering

  • Collect Information
    • Gathers LinkedIn URL for prospect research

Processing

  • LinkedIn Fetch

    • Initiates data retrieval from LinkedIn

  • Get LinkedIn Profile

    • Retrieves detailed LinkedIn profile data

  • Get LinkedIn Activity

    • Collects recent LinkedIn activity of the prospect

  • End LinkedIn Fetch

    • Completes the LinkedIn data retrieval process

Executing

  • Custom Function

    • Processes initial LinkedIn data for analysis

  • Custom Function

    • Prepares data for deeper analysis

  • Parse LinkedIn Data

    • Begins parsing collected LinkedIn information

  • Custom Function

    • Extracts key insights from LinkedIn data

  • Custom Function

    • Analyzes LinkedIn posts for themes and insights

  • Custom Function

    • Compiles additional relevant data for analysis

  • End Parse LinkedIn

    • Completes parsing of LinkedIn data

Processing

  • Firecrawl A

    • Initiates data collection from external sources

  • End Firecrawl A

    • Completes external data collection process

  • Firecrawl B + Career

    • Begins additional data collection on career

  • End Firecrawl B

    • Completes career data collection process

Analyzing

  • AI Analysis

    • Extracts verbatim statements from public sources

  • AI Analysis

    • Analyzes LinkedIn posts for thematic insights

  • AI Analysis

    • Creates structured profile of the company

  • End LLM Synthesis A

    • Completes AI analysis of initial data

  • AI Analysis

    • Produces a 4-quadrant reasons to layer summary

Crafting

  • Format Output
    • Formats the research output for user access