AI for ABM & LinkedIn Ads

By Yashasvi Saxena

LinkedIn ABM reporting goes wrong in a way that is hard to see because the reports look fine. For a long stretch of our program, I was reporting on ads and calling it ABM reporting. Impressions, CTR, cost per click, best-performing creative – all accurate and well presented. Then someone asked how many of our... Continue reading An AI Workflow for LinkedIn ABM Reporting: Four Loops, One Source of Truth

By Yashasvi Saxena

Most guides on how to optimize LinkedIn ads with ChatGPT skip the one thing that matters. ChatGPT cannot see your ad account. By default, it has no idea what you spent, which ads are dying, or which companies clicked. So it guesses, and the advice sounds smart while being worth nothing. I learned this the... Continue reading How to Optimize LinkedIn Ads with ChatGPT

By Yashasvi Saxena

AI ABM segmentation is marketed as an algorithm that finds hidden clusters in your account list, and that promise is where most programs waste their first quarter. In reality, the segments that predict a meeting are not always the ones you can draw from a firmographic spreadsheet. Moreover, oversegmentation is a problem too. So the... Continue reading AI ABM Segmentation: Clustering Accounts at Scale

By Yashasvi Saxena

A LinkedIn ads data export for AI analysis is easy to get and easy to get wrong. You download the CSV, drop it into ChatGPT or Claude, ask what is working, and get a confident answer back. The answer is often wrong, and not because the AI is bad at math. It is wrong because... Continue reading LinkedIn Ads Data Export for AI Analysis: What Works and What Breaks

By Yashasvi Saxena

AI intent data sounds like it should solve account prioritization for you. Feed a model every signal you have, get back a ranked list, and work the top of it. That is the pitch, and it fails in a specific way that I want to name early. AI does not fix bad intent data. It... Continue reading Using AI with Intent Data for ABM Account Prioritization

By Yashasvi Saxena

AI account scoring for ABM only works when it tells your team which accounts to act on today, and it fails the moment it produces a confident number nobody trusts enough to chase. I run account-based programs on LinkedIn, and the scoring I have watched waste the most time is the black-box kind: a vendor... Continue reading AI Account Scoring for ABM: Models and The LinkedIn Signals Worth Scoring

By Yashasvi Saxena

ChatGPT hasn’t been a mere copywriting tool for a long while now, and that drastically changes how it can be used for LinkedIn Ads analysis and account-based marketing. There is a catch, though: if ChatGPT has never seen your LinkedIn Ads account, you are missing out on almost every useful thing it can do for... Continue reading 30 ChatGPT Prompts for LinkedIn Ads Analysis and ABM

By Yashasvi Saxena

ChatGPT for ABM usually means asking it to write ad copy, and that is the smallest thing it can do. When we ran our first LinkedIn ABM program, every step was manual: sizing the market, building the account list, researching accounts, auditing the account, reporting to execs, routing hot accounts to sales, and more. Most... Continue reading ChatGPT for ABM: Prompts and Workflows for Account-Based Teams in 2026

By Yashasvi Saxena

LinkedIn ad creative testing in ABM is broken in a way that almost nobody says out loud. We ran creative tests for months, picked winners on click-through rate, scaled the winners, and felt organised about it. Then I looked at what those winners had actually produced, and the link between the two was much weaker... Continue reading AI for LinkedIn Ad Creative Testing in ABM: Test Accounts, Not Clicks

By Yashasvi Saxena

LinkedIn ads campaign ops eat more than half the time: building audiences by hand, writing ads, launching them, checking bids, hunting wasted spend, auditing the account, building the exec report, etc. But now with ‘formidable’ LLMs like Claude, every one of those steps can be automated with an agent, a skill, or an MCP server... Continue reading AI Agents for LinkedIn Ads: Automating Campaign Ops

By Yashasvi Saxena

AI ABM reporting is not about buying another AI wrapper that gives generic advice, or an automation that drops report PDFs into Slack. All of that is too basic for 2026. For me, it is about having an AI-native system where I can throw a set of prompts at my own account data and get... Continue reading AI for ABM Reporting: How to Automate Account-Based Marketing Reporting with Claude

By Yashasvi Saxena

When we ran our LinkedIn ABM program, every step was manual: sizing the market, building the account list, researching accounts, writing ads, auditing the account, reporting to execs, and routing hot accounts to sales. Well, now we have AI agents for ABM to automate most of these tasks so you focus on judgement, not grunt... Continue reading AI Agents for ABM: Automating Account-Based Workflows