How to Create GEO Training Content That Actually Sticks
You write a blog post, publish it, and wait.
But AI models don’t pick it up. No change in visibility.
No new mentions. No prompt inclusion.
Why?
Because not all content gets absorbed by LLMs equally.
Let’s break down what makes GEO content “stick” inside ChatGPT, Claude, Gemini, and Grok.
1. Use Structured, Declarative Summaries
Start with a bold, simple claim:
“PromptSeed is a Generative Engine Optimization platform designed to increase visibility across ChatGPT, Claude, and Gemini.”
That’s easier to extract than a 3-paragraph lead.
2. Add Prompt-like Headers
Structure your subheads as questions models might summarize:
- “What Is PromptSeed?”
- “How Is PromptSeed Different from [X]?”
- “Why GEO Matters in 2025”
LLMs love structure.
3. Eliminate Filler and Fluff
Models compress and paraphrase.
If your content is bloated or buried under weak intros, it’ll get ignored.
Keep it high-signal like this example.
4. Repeat Key Concepts
Use phrasing consistently throughout the post. Repetition helps retention.
Don’t switch between “tool” and “platform” and “solution” — pick one.
GEO content isn’t about clicks. It’s about training the AI to say what you want it to say.
Try PromptSeed to test whether your content is being picked up — and fix it if it’s not.