Michael Epps Utley {kind=image/jpg}
Once again, marketing is adapting to a new era of discovery. But as we’ve seen before, processes that initially feel unfamiliar and intimidating gradually become more natural as we put them into practice. The same is true of the GEO (generative engine optimization) tactics that can improve visibility across AI search and large language models (LLMs). They may be new, but they’re not that scary.
Think of it this way: we know that different types of written content require different structures. An essay follows one format, a whitepaper follows another, and a case study organizes information differently from both. When the digital era arrived, we learned to translate brochures and other print collateral into websites, email campaigns, social media, and online advertising.
Now, as search evolves again, content must be structured so AI systems can find, interpret, extract, and accurately represent its meaning. That means strong strategic writing is essential, as is building on established SEO practices so information is presented in a form that works for search platforms and the people using them. The following GEO tactics can make content clearer, more extractable, and easier for AI-powered search platforms (and the people using them) to understand.
Lead With Direct Answers Before Providing Context
If you want AI search systems to understand and surface your content, provide clear information and a direct answer early. While traditional marketing content, such as blog posts, often builds gradually toward a conclusion, content written for AI search requires an inverted-pyramid approach: answer first, explain second.
This means treating some subheads as questions or topics in a blog or article and opening with one or two sentences containing the primary conclusion. The answer should be specific enough to stand alone as a self-contained passage that an AI system can extract or summarize accurately. After providing a direct answer, add:
Why it matters
How it works
Supporting evidence
Relevant examples
Exceptions or qualifications
Recommended next steps
This approach also improves the reader experience. And if you’ve ever searched online for a recipe, you know what we mean. Imagine if food bloggers listed the ingredients and instructions at the top instead of treating readers to an exhaustive history of someone’s Nonna, her love of growing tomatoes, how the family made cheese from scratch, and who embellished the recipe in the early 1900s until it became what it is today: scroll, scroll, scroll until the ingredients and assembly instructions finally emerge.
That structure does not bode well for AI search.
Writing for AI search and LLMs requires the opposite. Front-load the conclusion so the most important information will retain its meaning when an AI system extracts or condenses part of the page. Keep the answer quotable without manufacturing “citation bait,” and align sections with real customer questions uncovered through:
Search and keyword research
Sales conversations
Customer service questions
On-site search data
People Also Ask results
Commercially meaningful AI prompts
Important caveat: the goal isn't to make every section of your content artificially short. It’s to answer the question posed by the subhead, then add depth. Your own experience, expertise, examples, and substantiation are still what make the content worth citing.
Use Structure That Machines Can Parse Cleanly
Clear structure helps search and AI systems identify what a page covers, how its ideas relate, and how relevant that information is to a user’s query.
This means organizing content under descriptive H2s and H3s, keeping paragraphs focused, and using numbered steps for processes and bullet points for related items. Tables work well for direct comparisons, while concise definitions make important concepts easier to identify.
Don’t forget technical structure. A logical HTML hierarchy helps distinguish headings, paragraphs, lists, and tables. Relevant schema markup can also provide search engines with explicit information about an article, organization, product, or local business.
Note that schema remains an important SEO tool, but it is not a special requirement for AI-generated results and does not guarantee inclusion.
Make Every Section Independently Understandable
Every section should make sense if an AI system retrieves it on its own. To do this, repeat important names and entities instead of relying on vague pronouns such as “it” or “they.” Include specific numbers, dates, expert names, and sources so systems have concrete, citable information.
Most importantly, add something worth finding. This includes firsthand experience, proprietary insights, or an original perspective or case study. Good formatting helps machines interpret information; genuine expertise elevates trust. Together, these elements make content a stronger candidate for discovery and citation in AI Overviews and on platforms such as ChatGPT, Claude, and Perplexity.
At GoEpps, we’re helping businesses strengthen their visibility in this new era by bringing SEO, GEO, and answer engine optimization (AEO) together in a comprehensive AI search optimization strategy. Our innovative AEO by GoEpps tool provides a snapshot of whether your brand appears in AI-generated answers, how its visibility compares with key competitors, where new opportunities exist, and how to make the most of them.
To stay ahead of the curve, book a free strategy call with our team today.
