What Is AEO? A Guide for Communications Professionals Who've Already Mastered SEO
Originally written by Laura Braden.
Answer Engine Optimization (AEO) is how your content gets cited by AI platforms like ChatGPT, Claude, and Perplexity when people ask questions. It’s different from SEO, it’s growing fast, and most communications teams haven’t started building for it.
That’s not a failure. The discipline barely existed two years ago. But the gap is closing quickly, and the organizations that close it first will show up in places their competitors don’t.
Laura Braden is a senior communications strategist with more than 20 years of experience in nonprofit, civic, public health, and political communications, including COVID-19 Task Force work with the California Medical Association. She serves as Chief Impact Officer at GoldenDoodle and leads communications strategy at MKTNG.
What is happening to search behavior?
People are changing how they find information, and a meaningful share of your target audience has already shifted. Tim Keary, writing in Innovating with AI Magazine, documented what that shift is doing to web traffic. Major publications, including CNN and Business Insider, reported traffic drops of 30–40% after Google introduced AI Overviews in May 2024. AI-generated summaries correlated with a 58% lower average click-through rate on traditional results.
For nonprofit and mission-driven communicators, this has a specific implication. The audiences you’re trying to reach are already resource-stretched and decision-fatigued. They’re not running keyword searches. They’re asking AI to shortcut their research. If your organization isn’t being cited in those answers, you’re not in the consideration set.
Here’s the data that should shift how you’re thinking about this. An Ahrefs study of 3,000 websites found that AI chatbots currently account for 0.17% of average website traffic, but that number has grown 7x since 2024. Superprompt’s analysis of 12 million website visits across more than 350 businesses found that AI search traffic converts at 14.2%, compared to Google’s 2.8%. A separate Ahrefs study found that AI search visitors converted at 23 times the rate of traditional organic search visitors.
Fewer clicks. From people who are ready to act.
Tim Sanders, CIO at G2, shared this from a buyer survey: 50% of respondents now start their research with AI chatbots rather than Google.
“If you’re looking for a CRM solution for your hospital that works on an iPad,” he said, “you just go to ChatGPT and say, ‘give me the best three CRM solutions for an iPad.’ The world’s changing really fast.”
What is the difference between SEO and AEO?
SEO gets you found on Google. AEO gets you cited by AI platforms.
They’re related disciplines, but they reward different things. SEO prioritizes keyword density, backlink volume, and page authority. AEO prioritizes direct answers, content that AI models can parse quickly, authoritative sourcing, and original thinking that can’t be found somewhere else.
You can optimize for both in the same piece of content. But only if you do it on purpose.
Interactive comparison (table plus conversion-rate chart):
How do you optimize content for AI citations?
The changes aren’t complicated. Most of them require structural rethinking rather than surface edits.
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Lead with your answer. AI tools pull from the first section of a piece. If your clearest, most authoritative statement is buried after three paragraphs of wind-up, it won’t get cited. Put the point at the top. If a reader has to scroll to find it, an AI model probably won’t surface it.
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Write to questions, not just keywords. People ask AI the way they’d ask a colleague: “What is trauma-informed marketing and how does it work?” rather than “trauma-informed communications best practices 2026.” Structure your content around the natural questions your audience actually asks.
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Add schema markup. FAQ schema, How-To schema, and Article schema help AI models parse and attribute your content accurately. Most website platforms support this natively. If you’re not using it, you’re leaving citation opportunities on the table.
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Build your E-E-A-T signals. Google’s framework of Experience, Expertise, Authoritativeness, and Trustworthiness applies directly to AI citations. Detailed author bios, links to credible external sources, and original analysis all signal that your content is worth repeating. Recycled takes don’t make the cut.
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Become a source, not just a publisher. AI tools cite original research, fresh data, and specific expert perspective that can’t be found anywhere else. Commission your own small study. Publish your own analysis. Develop a point of view that’s distinctly yours.
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Pursue guest bylines strategically. A piece published under your name in a respected industry outlet carries more AEO weight than a post on your own site, even a well-trafficked one. AI models weight domain authority heavily, and a new blog domain starts at zero. You can ask your preferred AI writing tool for a list of high-authority publications in your sector.
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Update your evergreen content regularly. A 2021 post with outdated statistics is unlikely to surface when someone asks for current best practices. Schedule reviews of your top-performing pieces, especially anything that references data, policy, or sector trends.
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Publish original content on your own site first. Your site builds domain authority while third-party platforms extend your reach. Always publish the full version on your domain first, then share condensed versions with backlinks to LinkedIn or Substack. That way, AI models trace the authoritative version back to you.
SEO and AEO can run in parallel: your site still needs crawlability and authority signals, while AEO rewards extractable, citable, trustworthy blocks of meaning—the same editorial discipline extended to new surfaces.
Try this: audit your AEO readiness in Claude
Paste any existing piece of content into Claude and use this prompt:
Review this content as if you are an AI search engine deciding whether to cite it in response to a user query. Identify: (1) whether the content directly answers a clear question in the opening paragraph, (2) what specific question this content is best positioned to answer, (3) what's missing that would make this more likely to be cited by an AI tool, and (4) rewrite the opening paragraph to lead with a direct, authoritative answer. Preserve the original voice and don't add filler.
Run that across your top 10 posts. The patterns surface fast, and the fixes are usually simpler than you’d expect.
Frequently asked questions about AEO
What is AEO?
Answer Engine Optimization (AEO) is the practice of structuring content so it gets cited by AI platforms like ChatGPT, Claude, Perplexity, and Google’s AI Overviews when users ask questions. It prioritizes direct answers, structured content, and authoritative sourcing over keyword density.
Is AEO replacing SEO?
Not yet, and probably not entirely. SEO still drives significant traffic and Google isn’t going away. But AI-generated answers are changing how people interact with search results, and organizations that can’t be cited will increasingly miss a high-intent segment of their potential audience.
How do I know if my content is AEO-optimized?
Ask an AI tool your own question and see if your organization shows up in the answer. Then paste your top-performing content into Claude and ask it to assess whether the piece would be cited in response to a relevant user query. The gaps tend to be structural: vague openings, no direct answers, missing schema, outdated statistics.
Does AEO matter for nonprofits and mission-driven organizations?
Especially for them. Donors, grant-makers, policy advocates, and community partners are increasingly using AI for research. An organization that shows up as a credible cited source in those conversations has an advantage that compounds over time.
Which AI platforms should I optimize for?
ChatGPT, Claude, Perplexity, and Google’s AI Overviews are the primary ones right now. Grok is growing. What works for one tends to work across all of them: direct answers, authoritative sourcing, clear structure, and content that’s been updated recently.
Related reading
- AI in Communications and Marketing in 2026 — AI as core infrastructure: governance, scale, and ROI expectations that sit underneath everything you publish (including what answer engines might cite).
- How to Spot AI-Written Content: 21 Tells — mechanical editing passes that keep AI-assisted drafts from sounding generic before they earn citations or reach human readers.
- Navigating the Ethical Landscape of AI in Communications and Marketing — baseline ethics, verification, transparency, and accountability when AI is in your communications stack.
This post was originally authored by Laura Braden.
We use AI tools in our workflow where they add clarity and speed; this piece was reviewed by our team for accuracy and voice.