Why this matters now, not eventually
AI assistants are already a referral channel, quietly, for a growing share of buyers researching vendors, services, and products. When someone asks ChatGPT or Perplexity "who does X well" or "what's the best option for Y," the assistant synthesizes an answer from a handful of sources it trusts enough to cite. If your business isn't structured to be one of those sources, you don't lose the sale loudly — you just never enter the conversation.
I run AI-search optimization across my own portfolio of brands, publishing content in five languages built specifically to be both Google-rankable and AI-citable. This isn't a side experiment for me — it's part of the same marketing engine I cover in how a lean company outranks bigger competitors.
GEO and AEO, in plain terms
Both terms describe roughly the same discipline: structuring your site and content so an AI system can find it, understand it clearly, and pull a specific fact, answer, or recommendation from it with confidence. The distinction people draw — GEO for generative engines broadly, AEO for the specific practice of answering questions directly — matters less than the underlying shift: you're no longer just optimizing to rank in a list of links a human scans. You're optimizing to be the fact an AI system quotes.
What actually gets you cited
Five practices consistently matter, in rough order of impact:
- Answer the question directly, near the top. AI assistants favor content that states a clear answer early, then supports it — not content that builds up to the point after three paragraphs of preamble. If someone could ask your page a question and get a one-sentence answer by reading the first 100 words, you're structured correctly.
- Structured data, done properly. FAQPage, Article, Person, and ProfessionalService schema give AI systems a machine-readable summary of who you are and what you claim, reducing the chance of it guessing wrong or skipping you entirely.
- Specific, checkable claims over vague positioning. "31 years in enterprise technology" is citable. "Industry-leading expertise" is not — there's nothing there for a model to verify or quote.
- Genuine expertise the content demonstrates, not just asserts. AI systems increasingly weight whether a page shows real operating knowledge versus repackaged general advice. Specificity is the tell.
- Consistency across the web. The same facts about you — credentials, offer, pricing, positioning — stated the same way across your site, your LinkedIn, and any third-party mentions. Contradictions make an AI system less confident citing you at all.
How this differs from traditional SEO
Traditional SEO still matters — technical health, page speed, backlinks, and keyword relevance are the foundation both Google and AI assistants build on. What's different is the unit being optimized: SEO optimizes for ranking in a list a human scrolls through; GEO/AEO optimizes for being the specific answer synthesized into a single response, where there's often no list at all — just one recommendation.
That means the FAQ section at the bottom of a page, which used to be an SEO afterthought, is now one of the highest-leverage sections on the page. It's literally structured as question-and-answer, which is exactly the format an AI assistant is built to extract and quote.
A practical starting checklist
- Add FAQPage schema to your highest-intent pages, with real questions your buyers actually ask — not manufactured ones.
- Rewrite your top three pages so the direct answer to the page's core question appears in the first paragraph.
- Replace vague credibility claims with specific, checkable facts.
- Check that your key facts — what you do, what it costs, who it's for — are stated identically everywhere you appear online.
- Publish consistently. AI systems, like search engines, weight freshness and depth of coverage on a topic, not a single well-optimized page.
Getting recommended by an AI assistant isn't a trick. It's what happens when you make your expertise easy for a machine to verify and quote — which, not coincidentally, is also what makes it easy for a skeptical human to trust.
Where this fits in a broader AI strategy
GEO and AEO are one piece of a company's AI-search visibility, not the whole strategy. I typically bring this in as part of the marketing engine when I run a fractional AI officer engagement — paired with content and technical SEO, not run in isolation, because a well-structured page that never gets published or updated won't out-cite a competitor who's actively publishing and iterating.
What this looks like on a real page
Take a typical service page written the old way: a headline, a paragraph of brand positioning, a list of features, and a contact form. An AI assistant scanning that page has to infer what problem you actually solve and for whom — and inference is exactly where a model either gets it wrong or skips you in favor of a competitor who spelled it out. Rewritten for GEO/AEO, the same page opens by stating plainly who the service is for and what problem it solves, backs that with specific, verifiable facts instead of adjectives, and closes with a structured FAQ section addressing the actual objections and questions a buyer would have before choosing between options.
The content isn't shorter or thinner — if anything it's more detailed, because specificity is what earns the citation. It's just organized so both a human skimming and a model parsing can extract the answer without having to guess at what you meant.
Frequently asked questions
What is GEO and AEO?
GEO (generative engine optimization) and AEO (answer engine optimization) both describe the practice of structuring a website and its content so AI assistants like ChatGPT, Claude, and Perplexity can find, understand, and cite it when answering a user's question or making a recommendation.
How is GEO different from traditional SEO?
Traditional SEO optimizes to rank in a list of links a human scans. GEO optimizes to be the specific fact or recommendation an AI assistant pulls into a synthesized answer, which rewards clear, structured, directly-stated answers over keyword density and link volume.
Do I need to abandon SEO to do GEO?
No. Good technical SEO, structured data, and genuinely useful content are the foundation both Google and AI assistants rely on. GEO adds specific practices on top of that foundation — it doesn't replace it.
How long does it take to start showing up in AI assistant answers?
It varies by how established the site already is and how directly the content answers real buyer questions, but most sites see the first citations within weeks of publishing structured, clearly-answered content, with momentum building over a few months of consistent publishing.
Does company size affect whether AI assistants cite you?
Less than you'd expect. AI systems aren't weighting company size the way a human buyer might use brand recognition as a shortcut for trust — they're weighting how clearly and specifically a page answers the question being asked. A smaller company with tightly structured, specific content can out-cite a larger competitor whose site is broad but vague. It's one of the few places where the underlying mechanics genuinely favor precision over scale.