AEO aims to make useful information easier to use. It cannot guarantee an AI citation.
I run this program on ascendgtm.net myself. My keyword research on 2026-09-09 tracked 603 B2B marketing-services SERPs. AI Overviews appeared on 81% of them. Before this work, answer engines cited my site on name queries only. Nothing on a category question. That gap is the practical case for aeo. This guide is what I shipped, not a theory post.
What is answer engine optimization, and how is it different from SEO and GEO?
Three terms get used interchangeably and should not be. The distinction is the unit of success.
| SEO | AEO | GEO | |
|---|---|---|---|
| Unit of success | A ranked blue link | A cited passage inside an answer | A brand present across generated output |
| Primary surface | Google and Bing results pages | AI Overviews, Perplexity, ChatGPT search, AI Mode | Any generative surface, cited or not |
| What you review | Page relevance and links | Clear visible content | Public facts and external evidence |
| Main asset | The page | The visible answer | The public record |
| Failure mode | Ranked but nobody clicks | Ranked, never quoted | Mentioned, but described wrong |
SEO, AEO, and GEO call for different observations. I cover the wider brand-level work in generative engine optimization for B2B.
Teams collapse these three into one budget line and then cannot explain what moved. A page can rank and still have no observed citation. Do not use rank alone to explain a citation result.
Ranking and citation are separate observations. Measure both.
How do answer engines pick what to cite?
These are practical areas to review. Effects vary by engine and query.
Access. Review crawler controls and current vendor documentation. For Google AI features, normal Google Search eligibility is the relevant baseline.
Content. Give readers clear, useful answers in visible text. Google recommends helpful, reliable, people-first content for its AI features.
Entity data. Keep names, URLs, and structured data consistent with visible content. This supports maintenance, but it does not control an engine's entity resolution.
Currency. Keep claims sourced, dated, and accurate. That helps readers assess the information without promising a citation.
One change reshaped the tactics here. Google removed FAQ rich results for all sites in May 2026. FAQPage schema no longer buys you SERP real estate. I keep visible FAQs when they help readers. Schema should mirror that visible text.
What should you change on a B2B site?
Start with Google Search eligibility and helpful, people-first content.
1. Review crawler access deliberately. Check current vendor documentation before changing robots.txt. Blocking a crawler is a legitimate business choice. Google requires no special AI crawler setting for AI Overviews or AI Mode.
2. Set a Content-Signal header. This response header separates three preferences. Search, AI input, and AI training each get their own signal. That beats one all-or-nothing robots decision. I serve it site-wide. It is a young standard. Treat it as a free declaration of intent, not enforcement.
3. Publish llms.txt and llms-full.txt when they aid interoperability. They offer a maintained map, but do not control what a model reads. Google requires no AI text file for AI Overviews or AI Mode.
4. Serve markdown twins when a consuming client benefits from them. They are an optional format, not Google AI-feature eligibility or a citation guarantee.
5. Keep JSON-LD accurate and consistent with visible content. It supports maintenance, but Google requires no special schema for its AI features.
6. Write definition-first intros. Start with a clear answer in plain language. This helps readers scan the page.
7. Use question-form H2s when they match buyer questions. Put a clear answer directly underneath.
8. Anchor claims to sourced statistics. Label each number with a source or first-party method. Specific, dated claims are easier to assess.
9. Publish and maintain visible dates. Use a real published date and update date. Keep them consistent in schema and on the page.
How do you measure AEO?
Rankings do not answer every citation or traffic question. Use separate instruments for each observation.
Prompt panels. Fix a list of 30 to 50 buyer-intent prompts, not keywords. Real questions, phrased the way someone types into a chat box. Run that identical panel across Perplexity, ChatGPT search, and Google AI Mode. Monthly at minimum. For each prompt, record whether you were cited, which URL, and which competitors appeared. Keep the panel fixed. Otherwise you measure prompt drift, not progress.
Citation rate. The share of panel prompts where your domain appears as a linked source. Track it by engine and prompt category. Do not combine the results into a traffic claim.
Brand mention scan. Track whether the answer names you in prose without linking. Record it as an observation, not proof of cause.
Add supporting reads. Google AI-feature clicks appear in Search Console's Web report. GA4 Organic Search sessions measure downstream visits. Count non-Google AI referrals only with an explicit referrer and landing page. Direct traffic remains unknown. Crawler logs can record requests when they are available.
Set expectations honestly. Do not buy a 30-day citation guarantee.
When should you hire AEO help versus doing it yourself?
Be honest about which of these you are.
Do it yourself when you have a real maintenance or format need and capacity to support it. Someone should also know the buyer's questions.
Bring in help when a real maintenance need exceeds your team. Bring reporting help when you need a repeatable panel and traffic read.
Do not hire when the offer promises citations from a technical checklist. Ask what it will measure and how it will label uncertainty.
The practical work combines content, site hygiene, and measurement. Keep claims sourced and useful for readers.
One caution on sequencing. Do not treat optional formats or schema as a content gate. Google's AI features use foundational SEO and helpful, people-first content. Eligibility still does not guarantee crawling, indexing, serving, or a citation.
Want a read on where your site sits today? The growth diagnostic covers crawler access, entity graph, and a first citation baseline. Deciding whether this belongs in next quarter's plan? How I work with marketing leaders explains the engagement shape.
Sources
- Google Search Central: AI features and your website. Google's own documentation on how AI Overviews and AI Mode source content.
- OpenAI: bots and crawlers. current
GPTBotandOAI-SearchBotuser agents and robots.txt directives. - Anthropic: web crawling and how site owners can control it.
ClaudeBotbehavior and robots.txt handling. - Perplexity: bots documentation.
PerplexityBotandPerplexity-Useruser agents and access rules. - llmstxt.org. the llms.txt and llms-full.txt proposal and file format.
- Google Search Central: FAQ structured data. current FAQPage guidance after the May 2026 removal of FAQ rich results.
First-party evidence. The 81% AI Overview figure covers 603 tracked B2B marketing-services SERPs. It comes from my own Ascend GTM keyword research pull on 2026-09-09. Citation-behavior observations are from my prompt panel on ascendgtm.net.