This post is written by Sean Begg Flint, Founder & CEO of Position Digital, an AI SEO agency that helps B2B & SaaS brands get recommended by answer engines and get found by the right customers. He has helped brands track AI visibility, conduct prompt research, and build effective GEO strategies.
80% of LLM citations don’t even rank in Google for the original query, according to an AI SEO study.
Answer engines don’t choose sources the same way traditional search engines do. And therefore, the way you optimize content for both platforms should also be different.
As a GEO agency founder, I’ve helped B2B and SaaS clients get cited in Google’s AI Overviews and AI Mode, as well as large language models (LLMs) like ChatGPT and Perplexity.
In this article, I’ll share what we’ve learned so far, along with practical tactics you can implement right away.
6 tips to write citation-friendly content
Here are proven on-page GEO tactics that I’ve used (and refined) across multiple clients.
With these techniques, we’re able to achieve astonishing GEO results, including increasing AI citations by 221% for a SaaS company and helping a B2B firm boost AI referral traffic by 809%.
1. Place key information early
According to Growth Memo, 44.2% of all LLM citations come from the first 30% of text. The deeper you bury crucial information, the harder it is for LLMs to find and cite it.
There’s a military communication technique called BLUF (Bottom Line Up Front) that you should adapt to your business writing.
Whenever you write an introduction or start a new heading, lead with the answer or main takeaway first. Then use the rest of the section to add context, supporting evidence, or examples.
That makes your content easier for both readers and LLMs to process.
Actionable tips:
- Start with key takeaways near the top of the page
- Keep introductions short and to the point
- Put the most important sentence in the first few lines of each section
Example
Resource Guru always puts a TL;DR section at the start of their blog post, which tells readers all they need to know without scrolling further.
2. Structure your content for easy scanning
This is something many content teams already do, but it matters even more in the AI era.
Answer engines have limited context windows, so clear structure helps them find, interpret, and extract the right information faster.
“I find that bullet points, definition boxes, and short paragraphs tend to give LLMs predictable signals about where the answer can be found on the page.”
Jamie Thomson, Founder of Brand New Copy
Actionable tips:
- Use clear headings that tell what each section is about
- Keep sentences and paragraphs short
- Focus on one idea per section
- Use tables, bullet points, and images where possible
Example
Here’s a great content structure example from Ahrefs.
3. Use a Q&A format
People ask a lot of questions in AI chatbots like ChatGPT, and these systems look for content that can answer them directly.
That’s why the Q&A (question and answer) format works so well in AI search.
“I find that content tends to perform well in answer engines when it follows a clear question-answer pattern. So, using subheadings that mirror real searches like ‘What is…’, or ‘How does…’, and then placing the answer in the first sentence underneath.”
Jamie Thomson, Founder of Brand New Copy
In a small experiment, Chris Green found that Q&A is the best content format to optimize for LLM chunking because it delivered the highest semantic relevance to user queries.
This is aligned with SE Ranking’s study, which found that question-based headings and FAQ sections can increase your chances of being cited by ChatGPT.
Actionable tips:
- Gather real user questions from sales calls, support tickets, forums, reviews, and customer interviews
- Write headings the way your audience would phrase the query in ChatGPT or other answer engines
- Answer the question immediately, then expand with context, examples, or supporting evidence
- Add an FAQ section at the bottom of the page to cover related long-tail questions
Example
Here’s what a good Q&A format looks like in practice. On HR Datahub’s blog, they use a question-based heading and then answer it immediately in a clear, concise way.
4. Optimize for entities
An in-depth analysis from RESONEO suggests that ChatGPT is building its own knowledge graph through entity recognition and disambiguation.
Here are some of the entity categories they found inside the model:
- People
- Company
- Organization
- Place
- Brand
- Software
- Product
If your brand, products, or executives are not clearly named and described, your company is less likely to show up in this new semantic layer.
Actionable tips:
- Spell out your brand name instead of “we” or “our”
- Don’t hesitate to name specific tools, platforms, methods, and frameworks where relevant
- Use concrete examples to connect abstract ideas to real entities
- Make sure your company details are accurate both on your site and across the web
Example
When talking about their product, Decentriq doesn’t say “our data clean rooms” or “our technology.”
Instead, they spell out their brand name: “Decentriq’s data clean rooms” and “Decentriq’s technology.”
5. Write “extractable” sentences
Answer engines do not cite entire pages. They cite chunks of text. That means your writing needs to work at the sentence level, not just the page level.
Every key paragraph should include at least one sentence that makes complete sense on its own. If a sentence depends too heavily on the lines around it, it becomes harder for LLMs to extract, summarize, and reuse accurately.
Useful sentence shapes include direct, definitional phrasing like:
- “X is …”
- “X refers to …”
- “X is used to …”
- “X differs from Y because …”
- “In [context], X enables …”
Actionable tips:
- Avoid vague openers like “this,” “that,” or “it” when the subject is unclear
- Make sure your key sentences still make sense when quoted outside the page
- Put your most citable sentence early in the paragraph, not at the end
Example
Here’s an excerpt from my AI visibility monitoring article, where I explain why tracking branded searches is crucial.
That bit was actually picked up, rewritten, and cited by ChatGPT.
6. Support every claim with facts
AI loves factual statements. The typical AIO-cited article covers 62% more facts than the typical non-cited one. If your content makes broad claims without evidence, answer engines have less reason to trust it.
“Using original data and real-world examples in favour of vague claims seems to improve the chance of being cited in LLMs.”
Jamie Thomson, Founder of Brand New Copy
Actionable tips:
- Back up every major claim with a fact, statistic, example, or source
- Include original data, research findings, or expert quotes where possible
- Cite reputable sources clearly so LLMs can trace where the information comes from
Example
When refreshing a blog post for HR Datahub, we included original data from their own survey and fresh information from third-party sources.
In just 4 weeks, the article managed to jump from position 35 to 1 in Google and get cited by various answer engines, including AI Overviews, ChatGPT, Gemini, and Perplexity.
Technical optimization checklist
No matter how well you structure and optimize your content for AI search, it will not matter much if LLM bots can’t access your pages in the first place.
Follow this technical optimization checklist to make sure answer engines can easily discover, index, and cite your content.
1. Improve loading speed
Response time is a strong ranking factor in GEO. Content that loads faster is more likely to be included by AI systems.
If your site is slow, unstable, or resource-heavy, it creates more friction for crawlers and can make your content harder to process.
Actionable tips:
- Compress large images and media files
- Use .webp as your image format instead of .jpeg or .png
- Reduce unnecessary scripts and third-party tags
- Use caching and a reliable hosting setup
2. Make your content accessible
Answer engines cannot cite content they can’t read. Your content should be easy to access, easy to render, and available in a clean format.
Actionable tips:
- Avoid relying too heavily on JavaScript to render core content
- Do not hide important content behind a paywall or login wall
- Serve key content in clean HTML
- Make sure headings, paragraphs, lists, and tables are rendered properly in the source
3. Update your content regularly
Freshness matters a lot in AI search. Even strong pages can lose citation potential if the information is outdated, incomplete, or no longer aligned with the current state of the topic.
Regular content refreshes give you a chance to improve weak sections, add new facts, refresh examples, and keep the page relevant for both readers and answer engines.
Actionable tips:
- Revisit high-value pages on a regular schedule
- Refresh outdated statistics, screenshots, and examples
- Add new developments, tools, or market context where relevant
- Review your FAQs and headings to make sure they still match current user prompts
Write for users first, the citations will follow
Most of the tactics in this article come down to good writing and a solid user experience. Structure content clearly, answer questions early, back up your claims with proof, and keep your pages fast and up to date.
Avoid black-hat GEO practices like excessive chunking and entity stuffing. These tactics might win you short-term visibility, but if the content isn’t valuable to customers, those citations will not turn into pipeline or sales.
The best GEO strategy is the one that caters to both users and machines. Create content that genuinely helps people, and make it easy for answer engines to understand and cite.
Try Writesonic today and start creating content that AI trusts and users love.
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