What Is AI SEO?
AI SEO is the practice of optimizing your website and content so that AI-powered search platforms cite your business in their generated answers. That includes Google AI Overviews, ChatGPT, Perplexity, Claude, and whatever launches next.
Traditional SEO gets you into Google's list of blue links. AI SEO gets you mentioned in the AI-generated answer that appears above those links, or in the response a user gets when they ask ChatGPT a question instead of searching Google at all.
The shift is real and it's measurable. Gartner predicted a 25% drop in traditional search volume by 2026 as AI search tools gain adoption. Google AI Overviews now reach over 2 billion monthly users. ChatGPT serves 800 million weekly users. These aren't niche platforms anymore.
For local businesses in markets like Vancouver, Washington and Portland, Oregon, this matters because AI search is growing fastest in local queries. When someone asks ChatGPT "who's the best electrician in Vancouver WA," you either show up in that answer or you don't. There's no page two to fall back on.
GEO: The Academic Research Behind AI SEO
The formal term for AI SEO in academic research is Generative Engine Optimization (GEO). It was introduced in a 2023 paper by researchers at Princeton, Georgia Tech, The Allen Institute for AI, and IIT Delhi, later accepted at KDD 2024, one of the top data science conferences in the world.
The researchers built a benchmark called GEO-bench, a large collection of diverse user queries across multiple domains, and tested which optimization strategies actually improved a source's visibility in AI-generated responses. Their key finding: GEO techniques can boost source visibility by up to 40% in generative engine responses.
The specific strategies that worked best were including credible citations, adding relevant statistics, and incorporating authoritative quotations. But the researchers also found that effectiveness varies by domain, meaning a one-size-fits-all approach doesn't work. What improves visibility for a legal practice might not be the same as what works for a plumbing company.
Why this matters for your business
A 40% visibility boost is significant. In traditional SEO terms, that's roughly equivalent to jumping from page two to the top of page one. Except in AI search, there is no page two. You're either cited in the answer or you're not mentioned at all.
Query Fan-Out: How AI Search Engines Actually Find You
This is the part most people don't understand about AI search, and it changes everything about how you think about optimization.
When you type a question into ChatGPT or Google AI Mode, the AI doesn't just search for your exact query. It breaks your question into multiple sub-queries and searches for each one independently. Google calls this process query fan-out, and they formally introduced the term when they launched AI Mode in 2025.
Here's a practical example. Say someone searches "best SEO agency in Vancouver WA for a plumbing company." The AI doesn't just search that phrase verbatim. It fans out into sub-queries like:
- "SEO agencies in Vancouver Washington"
- "SEO for plumbing companies"
- "local SEO services Clark County"
- "plumber marketing agencies Pacific Northwest"
- "Vancouver WA digital marketing companies reviews"
- "best SEO company for home services"
Each of those sub-queries gets searched separately. The AI then pulls sources from across all those results, evaluates them for authority and relevance, and synthesizes everything into a single response. If your content shows up across multiple sub-queries, you're far more likely to be cited in the final answer.
This is why AI SEO requires broader content coverage than traditional keyword targeting. You can't just optimize one page for one phrase. You need content that answers questions across the full spectrum of sub-queries an AI might generate around your topic. That means having pages about your industry vertical, your service area, your specific expertise, and supporting content that builds topical authority across all of it.
A December 2025 study by Surfer SEO found that 68% of pages cited in AI Overviews were not in the top 10 organic results for the original query. That means AI is pulling from a much wider pool of sources than traditional search. Pages that rank for related sub-queries, even if they don't rank for the exact original search, are getting cited.
What Content Actually Gets Cited by AI
AI search engines typically cite between 2 to 7 sources per response, according to Search Engine Land's 2026 GEO guide. That's far fewer spots than traditional search's first page. The competition for each citation is intense.
Based on the GEO research and what we've observed across our client campaigns, here's what consistently earns citations:
Content that answers questions directly
AI models look for content where the answer is stated clearly, not buried in marketing fluff. Pages that lead with a direct answer and then expand with context get cited more than pages that build to a conclusion. Structure your content so individual sections can stand alone as quotable answers.
Content with real data and citations
The GEO research found that adding statistics and citing credible sources significantly boosted visibility. This tracks with how AI models evaluate trustworthiness. If your content claims something and backs it up with a linked source, the AI can verify and confidently cite you. Unsupported claims get skipped.
Content with strong E-E-A-T signals
Google's E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) isn't just for traditional rankings anymore. AI models recognize these same trust signals. Author bylines with real credentials, detailed case studies showing actual results, and consistent brand information across the web all contribute. Content that reads like it was written by someone who actually does the work, not generated by a template, carries more weight.
Structured, parseable formatting
Clean heading hierarchies (H2, H3), bulleted lists, tables, FAQ sections, and comprehensive schema markup all help AI models parse your content accurately. The easier you make it for a machine to understand what your page is about and extract specific answers, the more likely it is to cite you. This is where having a well-built website with proper technical foundations pays off.
Third-party mentions and earned media
The Princeton GEO research, along with a 2025 study on citation bias in AI search, found that AI engines strongly favor earned media over brand-owned content. Being mentioned on review sites, industry directories, news outlets, and other authoritative third-party sources makes your brand more citable. It's the AI equivalent of backlinks in traditional SEO.
AI SEO vs. Traditional SEO: What Stays, What Changes
AI SEO is not a replacement for traditional search engine optimization. It's an extension of it. The two share a lot of DNA, but there are meaningful differences in how you approach each one.
| Factor | Traditional SEO | AI SEO (GEO) |
|---|---|---|
| Goal | Rank in top 10 blue links | Get cited in the AI-generated answer |
| Competition | 10 spots on page one | 2 to 7 cited sources per response |
| Query matching | Optimized for specific keywords | Must match across multiple fan-out sub-queries |
| Content format | Long-form, keyword-rich pages | Structured, quotable sections with clear answers |
| Trust signals | Backlinks, domain authority | E-E-A-T, third-party mentions, citation accuracy |
| Measurement | Rankings, organic traffic, CTR | AI citations, brand mentions, AI-referred traffic |
The important takeaway: strong traditional SEO feeds directly into AI SEO success. AI models use organic rankings as a trust signal. If you rank well in Google, AI is more likely to cite you. Ignoring traditional SEO to chase AI optimization would be like building a second story without a foundation.
Most businesses should be doing both simultaneously. That's why our AI SEO services include traditional SEO as part of the package. You can't separate them effectively.
Where to Start with AI SEO
If you're a business owner reading this and wondering whether AI SEO matters for you, here's a simple test. Go to ChatGPT or Perplexity and search for what your customers would search. "Best [your service] in [your city]." "How to choose a [your industry] in [your area]." See if your business comes up.
If it doesn't, that's the gap AI SEO fills. Here's where to focus first:
- Get your traditional SEO in order. AI SEO amplifies what's already working. If your local SEO is weak, fix that first. Claim your Google Business Profile, earn reviews, and make sure your site is fast and properly structured.
- Add structured data to every page. Schema markup (Organization, LocalBusiness, FAQPage, Service) helps AI models understand exactly what your business does and where. This is foundational.
- Build content depth across your topic. Don't just have a homepage and a contact page. Build pages around your specific services, the areas you serve, and the questions your customers ask. This gives AI models more content to pull from when fan-out sub-queries hit.
- Cite your sources and use real data. When you make claims on your site, back them up. Link to credible sources. Include real numbers from your own work. This is what E-E-A-T looks like in practice, and it's what gets you cited.
- Get listed on third-party platforms. Google Business Profile, Yelp, industry directories like Clutch or DesignRush, and local business associations. AI models verify your brand entity across multiple sources. The more consistent, authoritative mentions you have, the more citable you become.
If you're a business in Vancouver, Washington or the Portland, Oregon metro area, we offer a free AI SEO audit that shows you exactly where you currently appear (or don't appear) in AI-generated answers. No commitment, no sales pitch. Just a clear picture of where you stand and what it would take to get cited.