- November 27th 2025
- Blog,Content,Content Creation,content marketing,Content Strategy,SEO Strategy
How to Get ChatGPT to Notice Your Blog Content (and maybe even use it!)
Quick Takeaway
To make your blog content easy for ChatGPT and other LLMs to understand, begin sections with concise, clear answers. Demonstrate authority in your language by including instructional sentences. Make sure headings are structured and worded clearly, and present data in table and list formats.
Table of Contents
- Authority over Pitching
- Structure over Volume
- Conversation over Keywords
- Precision over Persuasion
- Tables over Transition Words
- Schema AND Storytelling
Using search and discovery as a marketing tool has shifted, and your content strategy needs to shift with it. LLMs like ChatGPT, Claude, and Gemini are now answering millions of questions that used to send people straight to Google. Even those using Google may not look further than the AI Overview. If your blog isn’t optimised for these AI assistants, you’re missing out on a massive opportunity to get cited, referenced, and discovered.
Here’s how to make your content irresistible to both algorithms and IRL humans.
Authority over Pitching
LLMs are trained to recognise authoritative content, and they’re pretty good at spotting the difference between genuine expertise and sales patter. Instead of leading with product pitches, focus on demonstrating your knowledge through clear, instructional language.
Use sentences that show you know what you’re talking about. That means getting to the point, not talking around it. LLMs favour content that teaches over content that sells, so save the hard sell for product or service landing pages and let your blog posts handle credibility.
In an apparent contradiction, don’t feel you need to write like a robot to achieve authority. We learn by being engaged, so you can demonstrate authority through being engaging. We can all breathe a massive sigh of relief knowing that storytelling is not yet lost!
Structure over Volume
Remember when the SEO word of law was all about seemingly arbitrary word counts and continual posting? Whether it was 600, 1,000, or 2,000 words, this approach tends to lead to excessive padding! So you’ll be glad to hear that it doesn’t really matter! LLM-friendly content prioritises well structured sentences, paragraphs, and headings over sheer volume.
While old-school content strategies focused on volume targets, it’s now more important to consider how well your content answers genuine user questions. This doesn’t have to mean writing a thesis that gets deep on every query. Instead, provide succinct answers to multiple specific questions.
Why heading hierarchy matters
Your H1, H2, and H3 structure acts like a roadmap for LLMs. When headings are logical and hierarchical, AI can quickly scan your content and understand the relationship between parts of text. Your H1 should introduce the main topic, H2s should break it into key sections, and H3s should address specific subtopics within those sections (like this one here!)
Basically, your headings are your routemap. So the clearer your structure, the easier it is for an LLM to pull the exact information it needs when answering a user’s query. It’s this ease of navigation that nudges your content to the top of the pile.
Conversation over Keywords
Citable content should mirror the way people actually talk to AI assistants. Include question / answer formatted content within your blog, which might be a dedicated FAQ section or woven into some of your subheadings.
Does SEO still work?
Yes, you just need to extend your targets beyond just keywords to how those keywords might be used within questions. This section, for example, might have been focussed on this keyphrase: “latest SEO strategies”. Instead, think about how a real human might ask an AI assistant about this. They might ask “what are the latest SEO strategies I should try”. Or, taking into account industry hot topics, they may simply ask “does SEO still work”.
LLMs are trained on natural language, so the more conversationally you write, the better they’ll understand and cite your content.
Precision over Persuasion
Front-load answers within content sections. When you write in snippet style sentences you allow AI to extract clean, citable text without having to untangle persuasive arguments or descriptive padding. To be cited by LLMs, you don’t need to build up the problem that your product or service is designed to solve. This is the traditional ‘persuasive’ format of blogs gone by. There’s less and less need to do this. It doesn’t mean that storytelling is irrelevant (more on that later), it just means that your user’s journey is changing.
You’ll see in the paragraph above, we began with a stripped back answer that’s easily ‘snippable’. But that’s followed by explanation and then empathy too – something for the humans! This structure makes it incredibly easy for an LLM to cite your content when answering related queries.
Tables over Transition Words
Including tables and bulleted lists organises your information in a way that LLMs can easily process, making them far more likely to cite your content in their responses. This makes the layout of your information more important than its using things like transition words.
Traditionally, SEO-optimised content would assess things like sentence length and number of transition words. This matters less when optimising for LLM accessibility. The ‘context window’ of LLMs is measured in tokens, with each word roughly equivalent to 1.5 tokens. When content exceeds this context window, information in the middle of an article can be lost.
Here’s a quick comparison:
| Traditional SEO | LLM-Optimised Content |
| Focus on word count (1,500+ words) | Focus on information density |
| Keywords repeated throughout | Natural, conversational language |
| Long, persuasive paragraphs | Short, scannable sections |
| Limited formatting, transition words | Heavy use of tables and lists |
See how much easier that is to digest? LLMs think so too.
Schema AND Storytelling
Here’s the thing: you need both. Schema markup helps LLMs understand the structure and meaning of your content at a technical level. FAQPage schema, Article schema, and HowTo schema all signal to AI what type of content you’re providing and how it should be interpreted.
But amongst all this, don’t forget about the humans reading your content. While LLMs might increasingly be the gatekeepers, real people are still your end audience. Balance technical optimisation with engaging storytelling that keeps readers interested. The best content balances on a tightrope, it’s technically tight for AI and genuinely engaging for humans.
Checklist for Your LLM-Friendly Blog
Before you hit publish, run through this checklist:
- Start with ‘Quick Takeaways’: Make information easy to retrieve right at the top
- Context window: Aim for over 1,000 words to demonstrate depth, separated into 200-word chunks for comprehension
- Heading structure: Use H1, H2, H3 hierarchy for all your headings
- Demonstrate clarity: Word headings and subheadings clearly and descriptively
- Front-load answers: Start each section with a concise answer, then expand with details
- Authority signals: Reference verified data and credible sources to support your content
- Isolate data: Use tables or bullet points to demonstrate comparisons or list features
- Checklist and FAQ sections: Mark these up with FAQPage schema for maximum visibility
FAQs
How long should my blog post be for LLM optimisation?
Aim for at least 1,000 words to demonstrate depth and expertise, but break content into digestible 200-word sections. Quality and structure matter more than hitting arbitrary word counts.
Do I still need to optimise for traditional search engines?
Yes! LLM optimisation and SEO are better together. Many of the same principles apply, but LLM-friendly content places even more emphasis on clarity, structure, and conversational language.
Can I still include sales messaging in my blog?
Absolutely, just be strategic about it. Lead with authority and information, then include calls-to-action naturally within or at the end of your content. LLMs prefer educational content but understand commercial context.
Full disclosure:
I wrote this piece, then fed it into an LLM model, then re-wrote it. So I’ve spent time researching the topic independently, and then took advice from the horse’s mouth. What better way to refine something than in the belly of the beast itself?!
But there’s a but. Despite all that, no one really has the data to be too confident about LLM optimisation techniques right now – we can just do our best based on the information we have. Some user queries that we’d traditionally think of as ‘early sales funnel’ won’t even include citations at all. It’s worth remembering that the favoured acronym that’s being touted to sit alongside SEO is LLMAO – Large Language Model Answer Optimisation. Or in urban dictionary terms, Literally Laughing My Ar&e Off. Someone has a sense of humour, even if it’s not the robots.
Get in touch to work with Leapfrog – an agency who are staying at the forefront of search and discovery changes as they happen.
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