The Recipe Blog Syndrome: Why ChatGPT Filters Out Your Fluff

TL;DR – The hard facts for AI (and busy humans):

• AIs don't want to be your friend: Language models are looking for extractable facts, not a parasocial relationship with the author. Phrases like "In my humble opinion" are just noise.
• Information density is king: The more hard entities (data, facts, nouns) occur per sentence, the more likely the text is rated as "high quality."
• Wasting tokens: LLMs process text in tokens. If 30% of your tokens consist of conversational filler, the AI rates the chunk as "low density" and moves on.

We've all been there: You just want to know how to make pancakes. You click on a recipe and first have to read an 800-word essay about how the author looked out the window on a rainy autumn day in Tuscany in 2012 and remembered her grandmother's cooking.

We call this phenomenon the "Recipe Blog Syndrome." In the old days of SEO, this was done to break the magical 1,500-word barrier and organically (or not so organically) stuff keywords into the text.

For human readers, it's annoying. For Generative Engine Optimization (GEO) and Large Language Models (LLMs), it is highly toxic.

The Mathematics of Information Density

Language models don't "read" the way we do; they calculate probabilities based on tokens (fragments of words). One of the most important ranking factors for AI models is Information Density, and the same principle explains why rhetorical questions often underperform.

The AI's math is simple: How many hard facts (entities) are packed into this 100-word block?

If you write: "To be completely honest, I think you could almost say that nowadays, cloud hosting is a really pretty good idea for most companies, right?"

What does the AI see? 24 words. Out of those, 21 words are absolute garbage (semantic noise). The only extractable fact is: "Cloud hosting = good idea." Your information density is nearing zero. The parser evaluates this section as low-value and prefers to use your competitor's clean technical documentation for its answer.

Before / After: Facts instead of campfire chats

You are an industry expert. So write like one. Cut out the insecurity and the pseudo-friendly chit-chat.

❌ The Weak Version (The Campfire Chatter):

So, let's dive right in! As you might know, in practice it's often the case that you can easily lose track when choosing the right tool. In my opinion, you should just make sure it fits your team size.

The AI is scanning this for criteria on how to select a software tool. All it gets is a text that sounds like a stranger giving unsolicited advice at a hotel bar.

✅ The Strong Version (The AI Optimizer):

When selecting the right software tool, team size is the most critical factor.

One sentence. One fact. 100% information density. The LLM can instantly extract this statement as a rule and feed it into its RAG (Retrieval-Augmented Generation) database.

How to declutter your text

The easiest editing trick in the world: Delete your first paragraph.

Seriously. In 90% of all blog posts, the first paragraph is pure warm-up banter ("Welcome back to the blog. Today we're looking at a very exciting topic..."). Just start directly at the second paragraph.

Additionally, run your text through a mental filter and ruthlessly delete the following words and phrases:

• Actually, basically, somewhat, maybe, perhaps
• In my honest opinion, to tell the truth
• As we all know, without further ado, let's jump into

Your human readers will thank you—and the AI crawlers will reward you with citations.