GUIDE // GEO · AEO · AIO · 2026
How to do
generative engine optimization,
AEO & AIO.
Generative engine optimization (GEO) is how your brand gets cited when ChatGPT, Gemini, Claude and Google AI Overviews write the answer. This guide covers it alongside its sibling, answer engine optimization (AEO), and the umbrella over both, AI optimization (AIO).
The next era of search runs through LLMs. The brands that become the authoritative reference first will own their category in AI-powered search.
$ research · citation-worthy content · mentions · rank
// 01 · why now
AI answers are eating the clicks
Search is splitting into two games: ranking a page, and being the source a model cites. The shift shows up in the data. Independent 2025-2026 studies of Google’s AI Overviews found a consistent pattern: when an AI answer appears, fewer people click through, and being cited inside that answer is the main way to win the clicks back. Winning that citation is what generative engine optimization is for.
- [✓]Organic click-through falls ~50-65% on queries where an AI Overview shows (multiple independent GSC studies; one randomized field experiment confirmed a causal ~38% drop in outbound clicks).
- [✓]Zero-click searches climbed to roughly 72% when an AI answer is shown.
- [✓]Brands cited in the AI answer are associated with meaningfully higher click-through than uncited ones (around double in one 2026 dataset). That gap is the measurable payoff of GEO.
- [✓]Our own Lab check of 30 US SERPs across nine niches (one snapshot, June 28, 2026): 23 (77%) showed an AI Overview, and every one of those cited its sources.
// The honest caveat: AI-search numbers are volatile and partly correlational. Treat them as a direction of travel. None of them is a guarantee.
// 02 · definitions
What is generative engine optimization, AEO and AIO?
// definition
Generative engine optimization (GEO) is the practice of getting your brand surfaced and cited inside the answers that generative AI engines write: ChatGPT, Gemini, Claude, Perplexity and Google’s AI Overviews.
The shift is fundamental. A classic search engine returns a list of links and lets the user choose. A generative engine reads its sources and writes the conclusion for them. If your brand isn’t in the sources the model trusts, you’re not in the answer.
You can’t buy or directly “rank” your way into a language model. Generative engine optimization works by increasing the probability the model (1) knows your brand exists, (2) has read it framed positively in sources it trusts, and (3) can retrieve it live when the query runs. That puts the weight on brand presence across the web the models learn from. Page-level tricks come second.
// Spelling note: in British English it’s generative engine optimisation. Same discipline, same abbreviation.
Answer engine optimization (AEO) gets your content lifted into a direct answer: a featured snippet or an AI Overview.
AI optimization (AIO) is the umbrella over all of it: generative engine optimization, AEO and making your site readable to AI crawlers. It’s the evolution of SEO in the gen AI era.
// 03 · the distinction
GEO vs AEO vs SEO
They share foundations and overlap constantly. Each one still optimizes for a different outcome, and most brands need all three.
// SEO
Search engine optimization
Target: a ranking in the list of results.
Win: the user clicks your blue link.
// AEO
Answer engine optimization
Target: the direct answer box.
Win: you’re lifted into a featured snippet or AI
Overview.
// GEO
Generative engine optimization
Target: the generated answer itself.
Win: the model cites you when it writes the response.
Note: “GEO”, “AEO” and “AIO” get used loosely and often interchangeably with “AI SEO.” The label matters less than the work, and the playbook below covers all of it.
// 04 · who it’s for
What companies is AIO for?
AIO is a massive opportunity for brands and early movers in niche domains. It’s most effective for emerging technology brands launching new categories, vertical SaaS companies with specialized expertise, data-rich platforms like marketplaces or comparison sites, and B2B brands in specialized domains where buyers use AI assistants for research. If you can become the authoritative reference before competitors do, you’ll own your category in AI-powered search.
The key advantage: a smaller site can compete. What wins is being the clearest, most structured source of truth in your niche, with your brand cited in PR and ranked on Google. That’s why traditional SEO is still key.
Build citation-worthy content, rank for it, and get cited for it by authoritative media or platforms like Reddit, and LLMs will reference you, even sometimes against much larger brands. Like early programmatic SEO adopters who dominated their categories, or early blogging, the brands that master AI SEO first will win.
// 05 · proof
AIO / AEO optimizes content for AI-powered platforms, positioning brands as the authoritative sources that LLMs cite and reference. Early adopters are already seeing results:
- [✓]Glassdoor: consistently cited in AI responses for company reviews and salary data
- [✓]Reddit: became a primary source for ChatGPT and Perplexity across countless topics
- [✓]Yelp: surfaces as the go-to reference for local business information in AI answers
Key benefits of AIO / AEO
- > Positions your brand as cited authority in AI responses
- > Captures traffic from AI-powered search platforms
- > Builds long-term visibility as AI adoption grows
- > Future-proofs your content strategy for the next era of search
// 06 · the build
How to do generative engine optimization (and AEO)
It comes down to four moves: audit where the models cite competitors, build content worth quoting, earn the brand signals that put you in the answer, and get the foundations right so LLMs can parse you cleanly.
Steps 2 and 4 double as your AEO work. Answer-first, well-structured pages are the ones that get lifted into featured snippets and AI Overviews.
$ savages geo --audit-citations
[*] prompt ChatGPT: "best [category] tools"… cites 4 competitors
[*] prompt Perplexity… cites Reddit + G2
[*] prompt Gemini / AI Overviews… brand absent
[*] mapping citation gaps… opportunity
GOAL: become the source LLMs cite
$
1. Research your niche and audit your citation gaps
Do your own research. Research is 80% of the work before you start optimizing for AI. Think about the questions your audience asks AI assistants and where current responses fall short: vague, incomplete, outdated, or citing competitors.
Then prompt ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews with the real questions your buyers ask. Record who gets cited, how you’re framed (or whether you’re absent), and which sources the models pull from. Those sources are your roadmap.
If you’re in B2B SaaS, for example, test prompts like:
- > “Best [category] for [use case]”
- > “[You] vs [competitor]”
- > “How to [solve problem] in [industry]”
// Pro tip: Focus on queries where AI gives generic answers or cites competitors. These are opportunities where you can become the authoritative source.
2. Build citable, well-structured content
Models quote sources they can parse and trust, and answer engines lift the cleanest block on the page. Give them:
- Direct, complete answers: lead with the conclusion, then support it. Address the full question, free of fluff.
- Clean structure: lists, comparison tables, definition blocks.
- Original data & precise facts: proprietary numbers, verified claims and sources AI models can trust.
- Unique insights: expert perspectives competitors lack.
Original research is the highest-leverage GEO asset: it earns editorial links and is the exact format LLMs cite. Two birds, one study.
3. Earn brand signals in the sources models read
LLMs internalize how the web talks about you. Get your brand mentioned, framed as “best”, “leading” or “trusted”, in the places they pull from: reputable publications and trade media, comparison and listicle content, and the live sources retrieval-enabled models read (Reddit, Quora, YouTube, recent press). Earn those mentions honestly, because manipulation gets discounted. The mentions playbook below maps where to go.
4. Get the technical and SEO foundations right
Generative engine optimization rides on SEO foundations: crawlable, fast pages that LLMs can parse and understand. Key elements to implement are simply put SEO best practices:
- Clear page structure: H1, H2, H3 hierarchy that mirrors user questions
- Semantic HTML: proper tags that help AI understand content relationships
- Schema markup: structured data that helps machines parse a page; on its own it won’t make a model prefer you
- Comprehensive context: each page should be self-contained with full context
Make sure AI crawlers can read you. Your goal is to be a source AI models cite.
An llms.txt is optional documentation: add one if the AI tools you care about read it. Google Search does not use it. You can build one free with our llms.txt generator.
// 07 · earn the mentions
How to get mentions for AIO
Target high-authority, structured platforms. AI models prioritize certain types of sources when generating responses. Get your content on:
- Knowledge bases & documentation sites: create comprehensive guides, FAQs, and resources that AI models recognize as authoritative
- Industry publications & trade sites: guest posts, contributed articles, and expert commentary in reputable vertical publications
- Community sites: thoughtful, detailed answers on Reddit, Quora, and niche forums where AI models already pull context
Get mentioned on high-authority portals
AI models prioritize certain platforms when pulling information. Target placements on:
- Major publications: Forbes, Business Insider, TechCrunch, and industry-specific authoritative sites that AI models trust
- Trade & vertical media: industry publications, analyst reports, and specialized news sites in your domain
- PR & earned media: press releases, expert quotes, and thought leadership features that establish credibility
- Academic & research platforms: white papers, studies, and educational content that AI views as factual sources
- Leverage user-generated content platforms that AI models rely on heavily: Reddit, YT, Quora, Niche forums & communities
- Dominate traditional search engines: Google & Bing, whose live results AI assistants retrieve from
- Do SEO & pSEO: rank for key queries / High SERP visibility!
// 08 · the snake oil
What to avoid in GEO and AIO
Generative engine optimization and AIO are new, which means the hype-to-substance ratio is brutal. There’s a TON of noise and snake oil to navigate. Be skeptical of:
- [x] LinkedIn influencers/gurus’ hype, empty promises, pseudo-success stories
- [x] Online courses 🙂
- [x] SEO agencies pretending they’ve cracked the code and have some “special” AIO sauce. It’s BS. There’s no specific way to do AIO or GEO yet: it takes experimentation, technical depth, and understanding how LLMs work.
- [x] “LLM-optimized rewrites”: running pages through an AI rewrite as a shortcut.
- [x] Proprietary “AI visibility scores”: there’s no standardized metric, and most are dashboard theater.
- [x] Astroturfing & bought mentions: fake reviews and link-farm “AIO placements” get detected and discounted, and can backfire.
- [x] “Abandon Google for AI”: Google still drives most traffic, and its signals feed the models. It’s FUD.
Again, do your own research. Build your own expertise. AIO is too new for anyone to be a definitive expert. If you’re interested in learning more, check out our AI SEO agency page.
// FAQ
Straight answers
What is generative engine optimization? +
How does generative engine optimization work? +
What’s the difference between GEO, AEO, and SEO? +
What is AIO? +
Does GEO replace SEO? +
Why does GEO matter now? +
How do you measure GEO results? +
Which companies is AIO for? +
What should I avoid in GEO and AIO? +
// keep reading
Go deeper on AI search
This guide is the overview. The pages below each go deep on one piece, and when you want it done for you, the service page is one click away.
// guide + tool
llms.txt
An optional file listing your key pages for AI tools, plus a free generator. Read →
// blog
AIO / AEO is mostly good old SEO
Why AI search runs on the same content and authority fundamentals. Read →
// service
AI SEO services
The full AEO + GEO offering. Explore →
// Glossary: AI search, AI Overviews, LLMs and E-E-A-T.
// ready to get cited by AI?
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source of truth.
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