Google's AI is reading your site differently now. So is ChatGPT. So is Claude. So is Perplexity.
They're pulling answers. Making recommendations. Comparing options.
Your site either shows up in these recommendations or it doesn't.
The real problem:
Your competitors are figuring this out. Some already have.
While you're wondering if this matters, they're getting recommended. While you're waiting to see what happens, they're showing up in AI search results. While you're busy with client work, they're building a moat.
You're not losing to better work. You're losing to better visibility.
What I'm doing:
I started testing this after The 1682 conference. Several AI consultants mentioned they're rebuilding their websites for LLMs. That's when I realized: this isn't optional anymore.
So I've been testing.
New content formatted for AI tools. Service comparisons written the way LLMs parse them. Content structured so these tools can find and recommend it.
Some things worked. Some didn't.
A friend of mine saw her summer camp registrations drop to almost zero. For months, she couldn't figure out why.
Bots had crowded out her real buyers.
She restructured her entire site with AI search in mind. Sales came back immediately.
The content she created in that process? It's exactly what we'll be exploring here. Her data will help shape our approach.
Between now and November 10, I'm running more experiments. Then I'm teaching what I learned.
Why this matters now:
Google still drives 90% of search traffic. But AI overviews are changing what gets shown.
ChatGPT search is growing. Claude is being used for research. Perplexity is becoming the comparison tool.
The people finding you through these tools are more qualified. They've already done research. They're comparing options. First conversations start at a different place.
But only if your site shows up.
Right now, most sites don't.
What you're really learning to build:
More qualified leads. The people who find you through AI have done their homework. They're not tire-kickers. They're ready to decide.
A competitive advantage. Most people aren't doing this yet. By the time they catch up, you'll have months of refinement. LLMs learn from repeated exposure to good content.
Authority at scale. When an LLM recommends you, it's vouching for you. Like getting featured in a trusted publication. But automated. And repeated.
A system that keeps working. The template works as you add new offerings. More qualified leads keep coming.
Future-proofing. This isn't going away. AI adoption is growing, not shrinking. You're building an asset that gets more valuable.
The maker session:
90 minutes. Live on Zoom. November 10, noon-1:30pm ET.
A maker session means: short, guided, we build together and get stuff done.
Here's how the session works:
First 20 minutes: What we've found so far I'll share what Annaline and I have tested and what's working. You'll see real examples of content that gets picked up by AI search.
Next 20 minutes: Audit your site We'll identify what's missing and where to start. You'll leave this section knowing your top 3 priorities.
Next 40 minutes: Build your content Using our samples and prompts, you'll draft your priority content. This is hands-on. You'll leave with usable content, not just notes.
Final 10 minutes: Your implementation plan Map out the rest of your site content updates. You'll know exactly what to do next.
You're already creating content for your site. This is about formatting what you have and filling critical gaps. Not starting from scratch.
The 90 minutes you spend here will save you weeks of guessing.
You'll leave with:
Your new content drafted and LLM-ready.
A template to optimize the rest of your site and keep using as you grow.
The prioritization framework I'm using.
Samples and prompts you can reuse.
Plus: A follow-up session after Thanksgiving (included)
In early December, we'll meet again to:
Review what's working on your site
Troubleshoot what isn't
Adjust your approach based on real data from your results
This isn't theory. It's what's working after real iterations.
Who this is for:
You want to stay ahead of this shift. You prefer learning from someone still testing. You'll actually implement, not just collect information.
Who this isn't for:
People looking for a complete, polished system. This is emerging. I'm documenting as I go.
The advantage? You get the newest thinking. Not last year's playbook.
Investment: $67
This is founder pricing for the first cohort.
Limited to 12 people so everyone gets feedback during the session.
This is the first in a series of maker sessions. I don't know what the rest will cover yet. I'm responding to what you need.