free Claude Code session next week: build a content repurposing engine

Plus three new reads on Claude Fable, entity authority, and the 2026 AEO agency comparison.

July 23, 2026

Happy Thursday!

One free live session on the calendar next week — Tuesday at noon ET, we're building a Claude Code engine that mines your best existing content and rebuilds it for every channel, in your voice. Three new reads from the blog and the latest video from the channel below. Let's get into it.

Upcoming free lessons

All free to attend — register and show up.

📅 Tue, Jul 28, 2026 · noon ET

Almost half of B2B marketers say repurposing is the thing blocking them from scaling content. The problem isn't that you don't have ideas. They're trapped in the one talk, call, or podcast where you first said them. This session fixes that. You'll mine a transcript for the content already in it, feed Claude a sample of your writing voice so drafts land in your register, and save the whole thing as a reusable skill that turns any new transcript into a week of content in about 10 minutes. Free to join.

Featured Articles from Catalyst

Three of the most recent pieces from the blog. All practical, all built around real data.

Claude Fable launched June 9 and is now the engine generating every answer buyers see in Claude search. Claude grew 130.1% in a single month between February and March 2026, reaching 2.66 million US desktop unique visitors, and referral traffic from Claude to websites grew 386% between January and April. The visitors who click through are evaluation-stage. They asked Claude a full buying question and it named you. This piece covers how to get Fable to cite your brand, how to use Fable itself to audit where you're not showing up yet, and how to convert those clicks into pipeline.

AI search doesn't rank pages the way Google does. It aggregates reputation across external mentions, semantic relationships, and entity recognition. Adobe reported AI traffic to websites grew 1,200% between July 2024 and February 2025, and BrightEdge found AI Overviews now appear in more than 40% of high-commercial-intent B2B searches. The article breaks down the three things that determine whether a model recommends you. LLM-optimized content architecture, external authority signals, and technical SEO built for AI crawlers. The piece also explains why companies with smaller sites sometimes outperform larger competitors in AI search.

If you're evaluating AEO agencies this year, this is the breakdown worth reading. The piece runs Catalyst, iPullRank, and First Page Sage side by side. Where each one wins, where it falls short, and which approach actually moves citation share and pipeline for B2B companies.

Latest video: How to Get Your Company Recommended by ChatGPT

Will breaks down the three factors that determine whether an AI engine recommends you. Category clarity, claims only you can make, and third-party mentions. He then runs a live engine-by-engine audit of a healthcare IT company using Catalyst's free AEO tool and covers platform-specific tactics (ChatGPT favors structured FAQs and Wikipedia, Claude leans on Reddit and community threads). The session closes with a client that grew AI-driven sessions nearly 1,000% month over month across 100+ countries.

That's it for this week. Tuesday's Claude Code session is the one to put on the calendar — you'll leave with a working engine you can run every week. Hit reply. I read every one.

Will