AI search: How to optimize for AEO in 2026

This article is the second in a series exploring the evolution of search optimization best practices. The first article discussed how to leverage local SEO and improve AI search rankings.

AI search tools are quickly becoming people’s first (and sometimes only) source of information. And obtaining a coveted featured snippet or landing in AI-powered search results means understanding one thing: how to optimize for AEO (breaking an AP style rule for that sweet keyword juice).

Answer engine optimization (AEO) is the practice of structuring your content so AI search programs — like ChatGPT, Gemini, Perlexity, etc. — can easily find, trust, and quote it as direct answers to user search queries. AEO best practices capitalize on the immediate and concise needs of tools, driving brand visibility and credibility beyond traditional search engines.

Keeping up with those best practices can be a bit of a brain-bender, however. What worked three months ago is already being replaced. But we’re here to help. Read on for a more expansive look at AEO, how it complements SEO, and eight tested AEO best practices you can start using today to future-proof your content, while growing authority in your market.

We’re living in a zero-click world. AI search programs are quickly becoming the standard to find answers — bypassing individual websites altogether. For traditional search engines, like Google, about 60% of searches end without the user going to another site, according to Bain & Company research.

AI is now the gateway to search, often serving as the first source of information, according to a recent McKinsey survey. If you want to grow brand visibility and generate leads, implementing an AEO strategy is a must.

What is the difference between AEO and SEO — and why does that matter? AEO helps your content appear in AI-generated responses based on specific questions (or user queries), not just keywords. SEO, on the other hand, focuses on key phrases that help your content rank in traditional search engine results.

AEO ranks answers. Large language models (LLMs) lie underneath answer engines and read pages in chunks to find answers, prioritizing highly structured, concise, and direct answers to questions. SEO ranks relevance and authority. It scans for comprehensive, keyword-rich content to rank whole pages and drive traffic.

AEO doesn’t take long before measurable results are visible. AEO strategy should be thought of as a sprint with consistent review of how content is mentioned and leveraged within AI search.

The goal, of course, is to become the cited source within an AI search engine, not just a high-ranking page. When tools, including AI overviews or knowledge panels, use your content to answer questions, you:

SEO improves your digital content’s visibility by improving keywords, content organization, site structure, and social signals (think: social media mentions, shares, saves). Strong SEO strategies improve your website’s rank and reputation within traditional search engines that scan your entire page.

These days, SEO might feel old school — but it’s not insignificant.

Compared to AEO strategy, SEO is a marathon. It takes time and dedication before measurable results can be seen, often 6-12 months before you begin to see comprehensive results.

SEO and AEO work together as a comprehensive strategy. Together, they provide machines and humans with clear and reliable information. SEO provides the authority and drives traffic to your site by providing rich, trustworthy, and indexable content. AEO formats content for easy AI consumption, making it easier for AI tools and voice assistants to use and cite. The combination increases discoverability holistically.

It’s AEO best practice to put the answer immediately after posing a question. The reason is two-fold:

Immediately following the first sentence answering the question, add 2-3 paragraphs that expand on your short version of the question. Consider giving examples, definitions, or adding methodology. The goal is to give AI search engines more context and allow you to couple your talking points with credible sources.

By adding lists, tables, and clear headings to your content, you will help AI engines understand your topic and how items relate to each other. Bonus, it will help your “lazy readers” who have difficulty reading a wall of text to digest information quickly. In short:

Content freshness is a major factor for AI search ranking. Content that is current or is consistently updated ranks higher. AI assistants prefer content that is up to date or new nearly 26% more, according to recent Ahrefs research. Here’s why.

Make sure you’re consistently tying content back to your product, company, or area of expertise. Without that connection, you’re making the answer engine smarter without getting any brand visibility. In the end, this is your marketing.

All AI search programs scan differently. And while some engines prioritize community-created content like Reddit and YouTube, others significantly award rank to product descriptions and reviews. The more you mention your product, link to other products, to direct descriptions, and to reviews, the higher your content ranks.

LLMs are looking for two things: consensus and new information.

Consensus: When it comes to AEO best practices, everyone saying the same thing can be a good thing. When your content mirrors and validates other content, it gives your domain authority.

New information: Net-new information is what gets pulled into AI citations. When your content adds a new perspective or layer of detail to a common answer, it helps AI search ranking. Consider original insights like:

Structured data (or schema) markup is a standard format for providing basic information about a web page. It summarizes and classifies the content.

There are several ways to add structured data to your site, including plugins or through custom tags.

Plugins will help automatically fill in a lot of structured data information for you based on the page content. They’re good for automatically setting up site-level data and provide a great baseline for better AI search. They can only generate general schema, however. An SEO specialist, like Brightly, can provide a more in-depth touch with custom code — providing AI search programs with consumable data about your business, like its location and services offered.

While FAQs are typically saved for dedicated pages, it’s AEO best practice to add an FAQ to the bottom of your pages or articles if applicable.

FAQs help LLMs find answers more easily than in conversational writing, where a lot of important information is often packed into one paragraph. An FAQ format lets you double down on question-based headlines and give AI search engines easy access to very specific questions. Sub-queries or branched questions can also be answered.

How to optimize for AEO comes down to an effective technical implementation and content creation. You’ve heard the rumblings and seen the headlines that AEO is the new SEO. But that’s not quite right. AEO is a vital strategy that works in partnership with SEO. SEO is your long game, and AEO is your short game. Together, they make up the next generation of digital visibility strategy.

If it feels like it’s time to make sure your content is AI-ready, reach out to a Brightly digital marketing specialist to learn how we can help you improve your AI search rankings.

AEO is the process of structuring content so AI search programs can easily find, trust, and quote it as direct answers to user queries.

Initial AEO results typically surface in 2-6 weeks to appear, with significant growth in 12-16 weeks.

SEO and AEO work together to increase discoverability holistically. SEO provides authority and drives traffic to your site by providing rich, trustworthy, and indexable content. AEO formats content for easy AI consumption.