GEO for Content Writers: How to Optimize for AI Search

Here’s an interesting fact: My articles were cited in AI Overviews as soon as Google rolled them out — way before AI search optimization became a thing. 

That’s because GEO and SEO strategies overlap. SEO is the foundation, GEO just an extra layer. We don’t have to reinvent the playbook, just tweak it.

In the article, I unpack everything I’ve learned about AI search from my experience and the latest research. The established SEO principles we’ve been following for at least a few years, and the extra tactics I’ve added to my quiver.

You will learn how to structure content and signal authority so AI systems trust it and can easily cite it.

I also share five higher-level strategies I would implement as a content manager or an SEO, and share ideas on how writers can upsell their services and position themselves as content partners in the age of AI search.

To get your content cited in AI Overviews and generative search engine results:

For starters, make your writing clear and easy to scan, so AI can easily lift answers from your text.

Here are a few practical ways to do it.

To make your content easier to access by AI crawlers,

AI engines don’t read articles top-to-bottom — they break them into small fragments we call “chunks” and piece them together to answer user questions.

So, dividing your text into short, self-contained sections increases the odds of getting quoted.

Breaking the articles into clear H2/H3 sections with descriptive headings makes it easier for AI bots to understand content structure and relationships between ideas — and find relevant chunks.

That’s why I’ve divided this article into three main H2 sections, each on a different aspect of GEO (structure, authority, strategy/technical SEO) + Conclusion and FAQs

Within each H2 section, we have 3-5 H3 headings, each dealing with one idea, for example, chunking and heading hierarchy. 

Each heading summarizes the main section takeaway. “Use clear H2/H3 hierarchy and dense headings to guide the AI bots,” as opposed to “Use clear headings.”

These aren’t new ideas. Using headers to make articles skimmable/scannable has been a good SEO practice since I can remember.

Leading with the key takeaway — or the bottom line — up front increases the chances LLMs cite your content.  

See how I structure the sections in this article?

Within each H3, I start with one clear sentence summarizing the main takeaway. Only then do I unpack the reasoning and provide examples or supporting information.

AI systems often cite the first 1-2 sentences after the heading, so BLUFing or using the inverted pyramid style — answer first, details later — caters to this preference.

The best part? 

This format isn’t just for AI. Clear, upfront answers improve readability for humans.

This translates into better SEO performance. If the reader can easily find what they need, they’re more likely to stay on the page. This sends signals to Google that the search result is relevant for their query.   

Presenting information in structured formats like lists and tables makes your content easier for AI to extract and reuse. Instead of parsing dense text, LLMs can quickly lift whole sections directly into their answers.

Here are three practical ways to embed tables and lists in your articles for higher AI search visibility:

AI systems are more likely to cite your content if you frame it as answers to reader questions. 

For example, you could:

The question-answer format mirrors how readers interact with AI assistants like ChatGPT or Perplexity. They don’t search for keywords — they ask questions. So, not “AI search optimization” but “How do I optimize my website for AI search?”

How do you find the exact questions readers frequently ask?

Try Ahrefs Keyword Explorer, Neil Patel’s Answer the Public, People Also Ask in Google, and Reddit.

Adding visuals — charts, screenshots, and videos — increases the likelihood of getting cited by AI platforms.

Generative AI is multimodal. It doesn’t process just text as it used to but also images, charts, and videos. And incorporates their content in answers. 

You can make your visuals search engine and AI-friendly by:

Of course, we don’t add visuals only to make content bot-friendly. We do it to make it more engaging and easier to understand for humans. Higher AI visibility and SEO rankings are a natural consequence.

LLMs, just like traditional search engines, cite information that is authoritative, trustworthy, and demonstrates genuine expertise and experience.

Let me walk you through a few ways to show it in your text.

Back up your claims with stats from reliable and authoritative sources.

So instead of “AI is popular,” write “20% of Americans use AI tools 10 times+ a month, recent SparkToro/Datos data shows.” 

Semrush has found that content with specific and referenced statistics is more likely to be cited than vague statements. Stats also strengthen your chances of showing up in search engine results.

Embedding expert quotes is another way to communicate authority.

A 2024 study led by Pranjal Aggarwal found that including “citations, quotations from relevant sources, and statistics can significantly boost source visibility, with an increase of over 40%….”

See what I’ve just done here?

Here’s a hack: Whether you’re quoting stats or experts, name sources directly in the same sentence. Like above: “A 2024 study led by Pranjal Aggarwal found…” or “….recent SparkToro/Datos data shows.”

Attributing data to sources like this makes a clean, standalone quote AI can cite directly.

Including unique insights, for example, from original research or case studies, increases your AI visibility.

But only indirectly.

Original research and case studies make your content stand out. They’re harder to replicate, and search engines reward originality with better rankings. And LLMs pull data from ranking content. 

Moreover, other publications are more likely to cite your unique insights and data points. This increases your brand’s visibility across the web, which also translates into better performance in AI search. 

In your content, show that you have the expertise and experience to write about the topic to increase your credibility.

Here are a few ways to do it:

 ✅ “Jane Smith, a messaging expert with a decade of experience working with early-stage SaaS companies, emphasizes the importance of…”
❌”Jane Smith emphasizes the importance of…”

Here are a few strategic plays that can boost coverage by AI-powered search engines. Things I don’t necessarily do as a writer, but I would definitely do as a content manager, strategist, or SEO.

As mentioned, LLMs find it easier to retrieve information from content in a list format. This includes listicles, like “10 best B2B SaaS content writers” or “7 top Ahrefs alternatives,” or comparison articles, like “Asana vs ClickUp.”

Ahrefs discovered that 7.06% of AI traffic goes to “best” pages, 5.5% to “top” lists, and 4.88% to X vs. Y head-to-head comparisons.

When users ask AI assistants for recommendations, LLMs can pull information about your product or service from such articles directly.

👉 An opportunity for writers: It’s time to up your BOFU game to make these articles more comprehensive and genuinely helpful so they don’t only show in AI search but also convert.

And showcase relevant samples in prominent places in your portfolio and Services sections on your website.

Refreshing your content regularly increases the odds of getting cited.

AirOps data is even more conclusive. Over 35% of pages cited by ChatGPT were updated within the last three months, and over 70% within the last year.

Updating your content frequently means it can answer questions about recent developments that LLMs might not be able to answer based on their training datasets.

That’s if you do it properly, not just change the year in the title.

My content refresh process consists of 12 steps and includes replacing stats with current ones, adding new features to product descriptions, amending the screenshots, filling content gaps, embedding new keywords, and improving structure and readability.

And AI search optimization, of course.

👉 An opportunity for writers: Add content refreshes to your services if you aren’t doing it yet.

Publishing in-depth content that covers the topic from all angles establishes you as a go-to source in the subject matter. As your topical authority grows, so do your chances of getting cited.

Here’s how to build your topical authority:

👉 An opportunity for writers: Pitch not just one article but a series covering the whole cluster. 

The more people share your ideas or talk about your brand, the likelier they are to surface in generative search results.

Remember how I suggested you add original insights to your articles to boost their organic rankings?

LLMs don’t work like traditional search engines. They don’t reward originality; they reward consensus, as Despina Gavoyannis from Ahrefs explains in her article. 

So, the median, not the outliers. The most common survey response, not the most contrarian one. The greatest hits, not the hidden gems that only connoisseurs know.

In practice, this means that posting new ideas on your website alone may not be enough to get them into AI answers. They need to go mainstream.

Ahrefs has also discovered that web brand mentions show the strongest correlation with AI search citations.

You can promote your content via:

👉 An opportunity for writers: Offer to repurpose content for different channels. For example, blog posts into social media posts, newsletters, and video scripts. 

Adding schema markup to your page increases the chances of being cited because structured data makes your content easier for AI systems to understand.

Schema markup is like a secret code. Invisible to readers but not LLMs. It tells them who created the page, how the page is structured, and what kind of information it includes.

The most useful types of schema for AI visibility are:

👉 An opportunity for writers: Flag up opportunities to enhance your articles with schema markup and offer to do it as an add-on (along with CMS uploads).  

If AI bots can’t crawl your pages, your content won’t be included in their answers — no matter how well it’s optimized.

Here’s what to check:

👉 An opportunity for writers: Flagging crawlability issues adds value and demonstrates you understand the full picture of content performance.

Generative engines like Perplexity, Gemini, and Google’s AI Overviews don’t reward fluff. They reward content that’s tightly structured, packed with evidence, and clearly written by someone who knows what they’re talking about.

Which is exactly what we’ve been doing to optimize for organic search for a while.

So if you have an established SEO foundation, there’s nothing to fear. Just need to adapt the playbook a bit.

The customer acquisition funnel needs bigger adjustments.

get in touc

Let’s finish with a few frequently asked questions about AI search optimization.

GEO stands for Generative Engine Optimization, and it refers to practices aimed at increasing visibility in AI-driven search results (AI Overviews, ChatGPT, Gemini, Claude, Perplexity, etc.).

Other acronyms that people use for GEO include:

Optimizing your content for AI search is important because getting cited by AI assistants drives business growth.

Generative AI is changing how people discover and consume information. At the end of 2024, Google’s market share fell below 90% for the first time since 2015! Instead of Googling, more and more people use AI assistants.

This includes product and brand research. So if a product or brand doesn’t surface in ChatGPT, Perplexity, or Gemini responses, customers won’t know about it.

The process is likely to accelerate as new generations of AI-native customers enter the market.

That’s why businesses — including your competitors — are already focusing on GEO to future-proof their funnels. 

AI search visitors are more likely to convert because they arrive on your site already educated and ready to act.

Generative AI tools don’t just list links — they synthesize answers. By the time a user clicks through to your page, they’ve already seen your product or brand positioned as the solution to their problem. They’re not browsing randomly; they’re validating a choice.

Semrush found that traffic from AI search is worth 4.4x more than traffic from traditional organic search.

AI Overviews and AI search engines pull information from authoritative sources they trust. However, the exact mix depends on the specific LLM and keeps changing constantly.

Both getting your brand and your content cited by LLMs are important.

Getting your brand mentioned in AI answers is important because it helps users discover your brand when they’re researching products or services.

Getting your content quoted by the AI systems matters because you can shape how your product or brand is described.

The easiest way to track AI search visibility is by manually searching for product-related queries in AI search engines like Perplexity or ChatGPT.

This will show you if your content gets cited, and if not, what content does. And how it’s structured and written. So you can replicate it.

You can also use dedicated tools like Ahrefs Brand Radar, Semrush AI SEO Toolkit, or Surfer AI Tracker.

Traditional SEO focuses on ranking in the search engine results page (SERP). Success means users see your link, click it, and explore your site.

GEO, by contrast, is about visibility in AI-generated responses from tools like ChatGPT, Perplexity, and Google’s AI Overviews. The goal isn’t a click but a citation or mention inside the synthesized answer.

In SEO, backlinks play an important role, and in GEO, brand mentions. To succeed, you need mentions on third-party platforms and multi-platform visibility (YouTube, Reddit, review sites).

No, you don’t need to rank in the top 10 to get cited by AI search engines, but it increases your chances.

According to Ahrefs, more than three-fourths of pages cited in AIOs rank in the top 10, just under 10% in positions 11-100, while almost 15% don’t rank in search results at all.

Writesonic has found that ranking in #1 gives you a 33% chance to get cited, while ranking in #10 – only just over 14%.

No, at the moment, the big LLM crawlers (GPTBot, Claude, Gemini, LLaMA) don’t officially use llms.txt. So adding it to your website will make no difference to its discoverability or visibility.

Originally published at https://tatarek.co.uk on September 20, 2025.