By
Austin Coker
Reading time: 11 min
AEO is the practice of structuring your content and your brand’s presence across the web so AI-powered answer engines, such as ChatGPT, Google AI Overviews and AI Mode, Perplexity, Claude and Copilot, pick your information when they answer a question, and ideally name or cite you in that answer.
In this article, you’ll find a plain definition of AEO, how answer engines choose what to cite, and a nine-step AEO checklist for 2026, ordered by what moves the needle first.
AEO (answer engine optimization) means making your brand the answer AI tools give. In practice that comes down to three jobs: be easy for AI systems to crawl and quote, answer the real questions buyers ask in plain language, and get mentioned on the third-party pages those systems already trust. The checklist below covers all three, starting with prompt research and ending with how to measure citations and AI referral traffic.
Answer engine optimization is the work of earning a place in direct answers rather than a ranked list of links. An “answer engine” is any system that responds to a question with a synthesized answer: an AI chatbot with web search, Google’s AI Overviews and AI Mode, voice assistants and featured snippets.
The goal of SEO is a click from a ranked result. The goal of AEO is to be the source an answer is built from, or the brand an answer recommends. Often the click comes later, when the buyer searches your brand name directly or types your URL.
You’ll also see AEO called LLM optimization, AI SEO or generative engine optimization (GEO). The labels overlap heavily, and Conductor’s 2026 State of AEO/GEO report, a survey of more than 250 enterprise digital leaders, treats “AEO/GEO” as one category (source: Conductor). We break down the small differences in GEO vs AEO.
Most AI answers that cite sources follow the same broad steps.
1. The question gets expanded. AI systems often break one question into several sub-searches behind the scenes, a process called query fan-out. Google says the average AI Mode query is three times the length of a traditional search (source: Google), so there are more angles for your content to match.
2. Sources get retrieved. Each system pulls from an index. Google’s AI features use Google’s index. OpenAI says sites must allow its OAI-SearchBot crawler to appear in ChatGPT search answers (source: OpenAI). Claude’s web search has been reported to use Brave Search (source: TechCrunch), which is why Brave matters for Claude SEO.
3. The answer gets written and cited. The model synthesizes what it retrieved, and the passages that state a fact clearly, with evidence, are easiest to quote. The Princeton-led GEO study found that adding citations, quotations and statistics improved a source’s visibility in generative answers by up to about 40%, while keyword stuffing performed poorly (source: arXiv).
If you’re missing at step 2, nothing else matters. If you’re retrieved but your page buries the answer, a competitor’s clearer page gets quoted instead.
Because the answer is increasingly where the decision happens. At Google I/O in May 2026, Sundar Pichai said AI Overviews has more than 2.5 billion monthly users and AI Mode more than 1 billion (source: Business Insider). OpenAI says more than 1.2 billion people use ChatGPT each week (source: OpenAI).
Clicks are thinning out at the same time. Pew Research Center found Google users clicked a traditional result in 8% of visits when an AI summary appeared, versus 15% without one (source: Pew Research Center). We cover the wider shift in zero-click search.
Work through these in order. The first four drive most of the results we see. The rest protect and compound them.
Start with the questions, not keywords. List the prompts a buyer would type into ChatGPT or AI Mode at each stage: “what is [category]”, “best [product] for [use case]”, “[you] vs [competitor]”, “is [product] worth it”, “how much does [service] cost”.
Run 30 to 50 of them across ChatGPT, Perplexity, Gemini, Claude and Google AI Mode. Note who gets named, which pages get cited and where you’re missing. For an ecommerce brand, that might be “best electrolyte drops with no sugar”. For a B2B SaaS company, “best construction accounting software for subcontractors”.
Book a call and we’ll show you which buyer prompts you win, which ones competitors win, and what it’s worth.
Put a question-style heading on the page and answer it directly underneath, in 40 to 60 words, before you add context. “How long does onboarding take? Most teams are live in 10 business days.” That one sentence is what an answer engine can lift.
Then support it with specifics: numbers, steps, conditions, a short table. Pages that open with three paragraphs of scene-setting make the model work to find the answer, and it usually won’t.
AI answers to commercial questions lean on comparison pages, “best X for Y” roundups, alternatives pages, pricing pages and use-case pages. If you don’t have a page for “[your product] for [industry]” or “[you] vs [competitor]”, you’re asking the model to infer it from somewhere else.
This is where we start with most clients. For Constant Hire, a niche recruitment agency, we built one landing page per role with detailed FAQs and backed them with links from industry sites. Within four months, the agency tracked more than $70,000 in revenue from ChatGPT referrals (source: Constant Hire case study).
Answer engines care about what other sites say about you. When you ran your prompts in step 1, you saw which listicles, review sites, Reddit threads, directories and trade publications got cited. Those are your targets.
Pitch the authors of roundups you belong in, keep your G2, Capterra or Trustpilot profiles current, contribute useful answers in the communities your buyers read, and earn coverage through digital PR. One credible list mention often does more for AI visibility than another blog post on your own site.
Check robots.txt. Blocking OAI-SearchBot removes you from ChatGPT search answers. Blocking PerplexityBot does the same for Perplexity. Blocking a training crawler such as GPTBot is a separate decision that doesn’t affect search visibility.
Then check rendering. Several AI crawlers don’t execute JavaScript (source: Vercel), so key copy, prices and FAQs that only appear after client-side rendering may be invisible to them. Server-render anything you want quoted.
Use the same company name, description, category and key facts on your site, LinkedIn, Crunchbase, G2 and directory profiles. Conflicting facts make a brand harder to recommend with confidence.
Add Organization schema with sameAs links, plus Article, Product and FAQ markup where they fit. Be realistic about schema: Google restricted FAQ rich results to well-known government and health sites in 2023 (source: Google Search Central), so markup helps machines understand a page, but it won’t win a citation by itself. This is the same principle behind semantic SEO.
Put a named author with real credentials on every guide, cite primary sources, and publish things only you can say: original data, pricing benchmarks from your own deals, before-and-after results with dates. Answer engines have plenty of generic definitions to draw on. They have far fewer original numbers.
Answer engines favor content that is current for time-sensitive topics. Review your top commercial pages and most-cited guides every quarter, update numbers and screenshots, and show a visible “last updated” date. Treat outdated pricing or feature claims as a bug, because an AI answer may repeat them.
Track three things:
Google now gives you a first-party baseline too. A generative AI performance report in Search Console, rolled out to all sites on August 31, 2026, shows how often your URLs appear in AI Overviews, AI Mode and Discover’s generative features (source: Google).
Mostly, yes. “LLM optimization” usually means getting large language model tools like ChatGPT and Claude to mention your brand, while AEO is the broader term that also covers Google’s AI features, featured snippets and voice answers. GEO comes from the academic paper that named the field. The tactics in the checklist apply to all three. For the full framework, see our generative engine optimization guide.
AEO builds on SEO rather than replacing it. Google says that “optimizing for generative AI search is optimizing for the search experience, and thus still SEO” (source: Google), and that there are no extra requirements to appear in AI Overviews or AI Mode beyond being indexed and eligible for a snippet (source: Google Search Central).
The differences are in emphasis. SEO measures rankings and clicks. AEO measures mentions, citations and the revenue they drive, and it puts more weight on off-site mentions and on answering questions in quotable form. We go deeper in GEO vs SEO.
Do it yourself if you have a strong in-house SEO lead, a short list of priority prompts and time to run digital PR. Bring in help when competitors are being recommended for your core prompts and you can’t see why, when your team can write content but can’t earn third-party mentions, or when leadership wants AI search reported in pipeline, not screenshots.
If you’re comparing partners, our review of the best AI SEO agencies explains what to ask each one.
AEO works best as one program with SEO and paid search, not as a separate project. Google PPC shows which queries convert. SEO ranks the pages that convert. AEO turns those same pages, plus the mentions you earn elsewhere, into AI recommendations.
At 95 Projects, we run SEO, PPC and AI search optimization as a single program for B2B, SaaS and ecommerce brands, with a senior strategist on every account. For Buoy, an electrolyte brand, that work made it ChatGPT’s #1 recommendation for “best electrolytes with no sweeteners” in three weeks (source: Buoy case study). If you want to see where your brand shows up in AI answers today, get in touch with our team.
Austin Coker is the CEO and founder of 95 Projects. He has worked in SEO since 2020, when he built and sold an ecommerce brand that grew mainly through search. He founded 95 Projects in 2022 to help SaaS, ecommerce, and B2B service companies show up wherever their buyers search, from Google to ChatGPT and AI Overviews.
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AEO stands for answer engine optimization. It’s the practice of making your content and brand the source AI answer engines, such as ChatGPT, Google AI Overviews, Perplexity and Claude, use and cite when they answer a question.
No. AEO depends on SEO. Answer engines retrieve from search indexes, so a page that isn’t crawlable, indexed and authoritative is unlikely to be cited. AEO adds a focus on quotable answers, third-party mentions and citation tracking.
Very little in practice. GEO (generative engine optimization) comes from academic research on generative search, while AEO is the older marketing term that also covers featured snippets and voice answers. Most teams run them as one program.
Fixes like unblocking AI crawlers or adding direct answers can show up within weeks, because AI search tools retrieve fresh pages. Earning consistent recommendations for competitive prompts usually takes several months of content and third-party mention work.
It can help machines understand a page, but it isn’t a shortcut. Clear answers on crawlable pages and mentions on trusted third-party sites matter more. Use Organization, Article, Product and FAQ markup where it accurately describes the page.
Don’t block the search crawlers, such as OAI-SearchBot, PerplexityBot and Googlebot, if you want AI visibility. Blocking training crawlers such as GPTBot or ClaudeBot is a separate choice about training data and doesn’t remove you from AI search answers.
Run a fixed set of buyer prompts every month and record whether you’re named and which pages are cited, or use a prompt-tracking tool. In GA4, track referrals from chatgpt.com and other AI domains, and ask new leads how they found you.
It depends on whether you run it in-house or hire help. Agencies that publish pricing typically charge monthly retainers, and AEO is often bundled with SEO and digital PR. Ask any agency exactly which prompts it will track and how it reports revenue.
