How to AI Optimize

They overlap more than they differ. AEO (Answer Engine Optimization) focuses on becoming the direct answer to a specific question. GEO (Generative Engine Optimization) focuses on how generative AI models represent and recommend a brand across a conversation. We use AIO (AI Optimization) as the umbrella term because it also covers a category neither AEO nor GEO was built to describe: AI agents that search, compare, and even purchase on a person’s behalf, not just AI systems answering a person directly.

Why Doesn’t the AI Just Answer My Question Directly?

Search a symptom — “why is my furnace making a weird noise,” “how to get rid of bedbugs on my own,” “cheapest way to replace a roof” — and most people expect one of two things: a list of blue links, or a flat answer with no business attached. What actually happens is neither. The AI answers the question, and it answers it using someone’s website.

That’s the part that surprises even sharp, engaged people. AI Overviews and chat-based answers don’t invent their answers from scratch. They search the web, find pages that already address the question well, and build the response from what those pages say — usually citing two or three of them by name, with a link.

So why doesn’t every furnace question end with “call [Business Name]”? Because most pages that could answer the question don’t earn the citation. The AI is choosing between candidates, and it’s picky.

What makes a page worth citing

Two things have to be true at once:

The page actually answers the specific question well — clearly, in enough depth, structured so the answer is easy to extract.

The business behind the page reads as credible from evidence outside the page itself — consistent business details across the web, a real review history, signals that this is a real, trustworthy operation and not a thin content farm.

A business can write anything about itself on its own website. What it can’t fabricate at scale is a long, consistent history of real customer reviews, matching business details across Google, its own site, and other public records. That’s exactly what AI systems check for, because it’s much harder to fake.

A real example, not a hypothetical one

Search “why is my furnace making a weird noise” and Google’s AI Overview names a specific business by name, with a link, alongside video and manufacturer sources: a company whose website has a clearly structured article addressing exactly that question, with genuine FAQ content and a clear next step for the reader who needs a professional. That business also happens to carry 2.5K Google reviews at a 4.9-star average, including recent, detailed, human-written reviews — the credibility signal underneath the content.

Meanwhile, a nearby competitor with a genuinely strong 5-star rating and real customer relationships was, at the time of the same search, running a paid ad to try to win visibility for HVAC searches in general. The paid ad is a completely different mechanism from an AI citation — it buys placement on a search results page, but it does nothing to make an AI system trust and name that business inside a generated answer. For that specific diagnostic question, the AI didn’t cite the paid advertiser at all.

Travis Crawford Heating, Cooling, Plumbing & Electrical Union HVAC – Indian Trail
Query tested “Why is my furnace making a weird noise” — Google AI Overview N/A — appeared as a paid Sponsored Result when searching for Travis Crawford directly on Google Maps
Result Cited by name in the AI Overview, with a direct link, alongside YouTube/Trane/GAC Services/AC Direct as sources Not cited organically for the diagnostic query; visible only via paid placement in a different search context
Google reviews 4.9 stars, 2.5K reviews, including recent long-form human reviews 5.0 stars, 3 reviews
Website Dedicated, well-structured article directly answering the diagnostic question, with clear headings, FAQs, and a call to contact a professional Not assessed yet against this specific query — no comparable answer content found

Same underlying quality of business. Different visibility outcome — because only one of them had a web page built to be read and trusted by a machine, not just a human. What’s confirmed here is the citation gap itself; what’s not confirmed is that ad spend is the reason for it — that’s a plausible read, not a verified causal claim.

What this means if you run a local business

The AI isn’t hiding your business on purpose, and it isn’t rewarding whoever spent the most on ads. It’s making a judgment call about who has the most trustworthy, on-point answer — using your website’s actual content plus everything it can verify about you independently.

If your website doesn’t contain a clear, well-structured answer to the exact questions your future customers are already asking an AI, there’s nothing there to be cited. That’s a fixable gap, and it’s the specific gap AI Optimization closes: writing the content an AI can find, trust, and quote — backed by the credibility signals that make an AI willing to do so.

More From This Series

Coming soon — two more pieces on how specific AI-search mechanics play out in practice.

Coming Soon — B2B

ChatGPT Ads vs. Organic AI Citation

What paid placement inside ChatGPT can and can’t do for a business — and how it differs from earning a citation.

Coming Soon — B2C

Google Maps’ New Chat Feature

What Google Maps’ conversational search means for how local businesses get found and recommended.

See How Exact Marketing Solutions Approaches This

The audit that finds the gap, and the copywriting that closes it — from the same strategist.