What AEO means for a B2B SaaS company

A plain definition

Answer engines are systems that respond to a question with an answer instead of a list of links: ChatGPT, Perplexity, Gemini, Claude, Copilot, and Google's AI Overviews and AI Mode. AEO is the practice of making your company a clear, accurate and citable part of those answers. You will also see it called GEO, generative engine optimization. The terms describe the same work.

Why B2B SaaS companies care

Buyers use these tools during research. In G2's 2026 survey of 1,076 B2B decision-makers, 71% said they rely on AI chatbots for software research and 51% said they start with chatbots more often than with Google. G2 sells review-site visibility, so it has an interest in the topic, but the direction matches other surveys.

There is also a click problem. Pew Research Center analysed the browsing of 900 US adults in March 2025 and found that people clicked a result link on 8% of Google visits that showed an AI summary, compared with 15% when no summary appeared. Fewer clicks means the answer itself matters more.

What Google says

Google has two current pages on this, and they are worth reading together.

• Its page on AI features says a page must be indexed and eligible to show a snippet in Search to appear as a supporting link in AI Overviews or AI Mode, and that "there are no additional technical requirements."
• Its newer guide to generative AI features says SEO best practices "continue to be relevant", and that content which is "unique, compelling, and useful" will likely matter more in the long run than anything else in the guide. It adds one condition the AI features page does not mention: a site "must be included in Search generative AI features in Search Console to be eligible." If you manage a site, check that setting in Search Console.
• The same guide lists things you can ignore for Google Search: llms.txt and other special AI files ("Google Search itself doesn't use them"), "chunking" content, rewriting content just for AI systems, seeking inauthentic mentions, and over-focusing on structured data.
• Both pages describe "query fan-out", where the system runs several related searches to build one answer.

That has two consequences. Most of what helps in Google's AI features is what already helps in Google search. And many AEO tactics sold as new are either ordinary SEO or unproven.

What a sensible AEO effort includes

1. Buyer-question research. List the questions buyers ask before choosing a product like yours, from sales calls, support tickets, communities and search data.
2. Pages that answer those questions directly. One page per substantial question, with the answer near the top and evidence below it.
3. Consistent entity information. The same company name, description, founder and category everywhere: your site, LinkedIn, directories, review sites. See entity clarity for search and AI.
4. Crawl access. Allow the crawlers that power AI search, such as OpenAI's OAI-SearchBot and PerplexityBot, unless you have a reason not to.
5. Third-party mentions. Reviews, interviews, partner pages and community discussions where your company is described accurately.
6. Repeated measurement. A fixed set of questions checked across assistants over time. See how to measure AI visibility.

A worked example of one check

Take one buyer question a company in observability might hear on sales calls: "How do I monitor LLM output quality in production?" An AEO check for that question records:

The check ends in a decision: which page to write or fix, and which third-party source to be present on. The same question is re-run after the page is published and indexed.

What is not known

• How each assistant weights its sources. None of the AI companies publish this.
• How long it takes for a new page to influence answers. It depends on crawling, indexing and model updates.
• Whether visibility in AI answers turns into buyers for a given company. Surveys show buyers use these tools; they do not show conversion for any specific vendor.

Treat any AEO claim that ignores these unknowns with caution.

What to be skeptical of

• Guaranteed citations or rankings. No one outside the AI companies controls their answers.
• Single-screenshot reports. Answers vary between runs of the same question.
• Mass-produced pages. Google's spam policies describe "scaled content abuse": many pages generated mainly to manipulate rankings rather than help users.
• llms.txt as a fix. See does llms.txt help AI visibility.

Where the founder fits

A founder's specific, verifiable explanations are useful raw material for AEO. They give the company something to say that competitors cannot copy, and they make pages more credible to the buyers who check them afterwards. In practice, the strongest AEO pages for a technical company are usually written from founder interviews.

AEO covers one part of founder presence: what search engines and AI assistants can find and repeat about a founder and their company. The other parts are the founder's published thinking and the channels that carry it.