Sales Route

How to Build Prospect LinkedIn Analysis and Talking Points With AI

Turn any LinkedIn profile into a 1-page call prep sheet with background insights, personalized openers, and 5 talking points in under 10 minutes.

11 steps ~1h 30min For sales teams Free

Prospect LinkedIn analysis and talking points with AI means feeding a prospect's LinkedIn profile into a structured prompt that outputs background insights, personalized conversation openers, and 5 discussion topics tied to their role and recent activity. On aidowith.me, the Sales Call Prep route walks you through building this system in 11 steps over about 90 minutes. You'll create a prompt that extracts career trajectory, shared connections, recent posts, and company news from a profile. The output is a 1-page prep sheet formatted for quick scanning before a call. Testing on 5 real prospects during the route shows the system produces prep docs in 8 minutes versus the 45 minutes most reps spend on manual research. Sales teams using this approach report 30% higher conversion from first call to second meeting because the conversation feels personalized from the start. The route also covers how to handle profiles with limited public information.

Last updated: April 2026

The Problem and the Fix

Without a route

  • Reps spend 45 minutes researching each prospect on LinkedIn before calls
  • Generic openers like 'I saw your profile' don't build rapport or show real preparation
  • Half the research gets forgotten during the call because it isn't structured into talking points

With aidowith.me

  • A 1-page prep sheet from any LinkedIn profile in under 10 minutes
  • Personalized openers based on the prospect's career moves, posts, and shared connections
  • 5 structured talking points tied to the prospect's role and current challenges

Who Builds This With AI

Sales & BizDev

Prep calls, draft outreach, research prospects in minutes.

Managers & Leads

Reports, presentations, and team comms handled faster.

Founders

Move fast on pitches, pages, research. AI as your first hire.

How It Works

1

Build the LinkedIn extraction prompt

Create a prompt that takes profile text and pulls out career trajectory, recent activity, mutual connections, and company context.

2

Add the talking points generator

Extend the prompt to produce 5 discussion topics based on the prospect's role, industry, and recent activity. Include personalized openers.

3

Test on 5 real prospects

Run the full system on 5 upcoming calls. Compare the prep sheets to your usual research. Adjust the prompt based on what's missing.

Build Your LinkedIn Prep System in 90 Minutes

Follow the route and turn any LinkedIn profile into a structured call prep sheet with AI.

Start This Route →

What You Walk Away With

Build the LinkedIn extraction prompt

Add the talking points generator

Test on 5 real prospects

5 structured talking points tied to the prospect's role and current challenges

"My prospect said 'you've done your homework' 3 minutes into the call. The prep sheet took me 8 minutes. I used to spend an hour on that."
- Enterprise AE, cybersecurity vendor

Questions

If a profile is fully private, the prompt works with whatever is visible: name, headline, company, and mutual connections. The route shows you how to supplement limited profiles with company website data and recent press mentions. You still get a useful prep sheet, just with fewer personal details. The route provides clear guidance at every step so you can move from setup to results without guesswork.

Copy the visible profile text (About section, Experience, recent posts) and paste it directly into the prompt. No scraping tools or extensions needed. The route shows you which sections to copy for the best results. Most profiles take under 2 minutes to copy. The route provides clear guidance at every step so you can move from setup to results without guesswork.

Yes. Each run takes about 8 minutes, so you can prep 5 calls in under an hour. The route includes a batch format where you paste multiple profiles and get all prep sheets in one run. This works well for back-to-back discovery calls. The route provides clear guidance at every step so you can move from setup to results without guesswork.