Half the playbooks in your stack are just survivor bias dressed up as strategy, and this issue hands you the data, tools, and tactics to tell the difference.

This week's edition covers:

  • Kevin's Take: why most GTM best practices are just survivor stories dressed up as strategy
  • The Signal: Signal: 1 in 10 webpages is now AI-written, and Reddit's ChatGPT citation share just fell off a cliff
  • Tools & Tactics: a self-updating fix for stale content, plus a blueprint for multi-agent account research
  • Quick Links: the B2B buyer survival threshold, 94% of buyers researching through AI instead of your site, what 60,000 queries say about listicles

Kevin's Take

Most GTM best practices are just survivor stories with better PR

One of the things I keep running into when I talk to founders and CMOs is that a lot of what gets passed around as GTM wisdom is really just one winner's story with the branding scraped off, and Dave Kellogg gets at this directly in this Topline Q&A when he goes after the old maxims like ignore the competition and trust your gut. His point is that those lines only sound like wisdom in hindsight, because the people repeating them are the ones who happened to win, and we never hear from the hundred other founders who also ignored the competition and trusted their gut and are now not around to tweet about it.

The useful part for me isn't the specific maxims he picks apart, it's the habit underneath. We borrow playbooks constantly, from category creation to PLG motions to the whole ABM revival, and a lot of what we're actually borrowing is the story of one company that made it work in one market at one moment with one team, and we're treating that as a general law. When we run a positioning workshop or a pipeline plan on Flow, one thing I've found useful is to separate the claim from the evidence, so instead of saying we should do X because Company Y did X, we ask what was actually true about Company Y's market, their buyer, their timing, their product maturity, and whether any of that maps to us. A lot of times the answer is no, and the borrowed play quietly gets dropped, which is a much better outcome than running it for two quarters and wondering why the numbers don't move.

Pick the two or three GTM beliefs your team is currently operating on, the ones nobody questions in the room, and ask where each one actually came from. If the honest answer is a founder quote, a conference talk, or a LinkedIn post from someone who won, that's worth knowing before you build another quarter on top of it.

That's it for this week. Talk soon.

— Kevin Kerner, CEO, Mighty & True

The Signal

Pew data shows 1 in 10 webpages is now AI-written (1 min read)

Pew Research found that 1-in-10 webpages in a random sample from July 2026 show signs of being written or substantially edited by AI. The study offers a data-backed baseline for how much of the web's content is now AI-generated.

Why it matters: As you plan your content strategy, this gives you a hard number to benchmark against when deciding how to differentiate your brand's content from an increasingly AI-saturated web.

Reddit's citation share in ChatGPT search collapsed 86% in weeks (1 min read)

Promptwatch data shows Reddit's share of ChatGPT Search citations dropped 86% (from 3.83% to 0.52%) in a matter of weeks, coinciding with ChatGPT's increased use of the 'site:' search operator starting August 8.

Why it matters: If you've been optimizing for AI-search visibility through Reddit presence or UGC seeding, this data tells you that channel's citation value just collapsed almost overnight.

Tools & Tactics

A self-updating system for content that goes stale (1 min read)

Maja Voje outlines a 'living content graph' system that replaces static content calendars with a self-updating knowledge structure that flags and heals content when underlying facts change. It's built for lean marketing teams (team-of-one) trying to scale content ops without losing accuracy.

Why it matters: If you're running content with a skeleton crew, this gives you a framework to stop manually auditing stale posts and start automating fact-drift detection across your content library.

A practitioner's blueprint for multi-agent GTM research systems (1 min read)

Avi Chawla walks through building a multi-agent AI system that automates GTM intelligence gathering, using specialized agents to research accounts, signals, and news for sales and marketing teams. The tutorial includes a working framework and code approach for stitching agents together.

Why it matters: If your team is manually stitching together account research, this gives you a blueprint to build an agent system that does it automatically before your reps even ask.

Score your B2B marketing — free

The Blueprint Score benchmarks your brand's competitive velocity (content activity, market presence, search momentum) against 50 mid-market B2B tech companies. Enter your domain, get your score in 5 minutes.

▶ Run your Blueprint Score

Know a great guest?

Know a marketing leader with a strong opinion and real results to back it up? We are booking guests for the Tech Marketing Rewired podcast. If that is you (or someone you know), hit reply. Bonus points if you have a hot take that will make people uncomfortable.

▶ Pitch yourself / a guest →