Recently, a Bospar client asked us to explain in two sentences why its corporate website is impactful for AEO. The answer is quite complex, but here’s the short answer:
- A corporate website is the authoritative, direct source of truth and knowledge on your company that Large Language Models (LLMs) crawl and then cite to answer user queries, thus making it critical for Answer Engine Optimization (AEO).
- An optimized website for LLMs must contain structured and expert content so the various AIs can accurately extract information and present your brand as the definitive answer for any pertinent searches.
Now, let’s fully explore the hows and whys by starting with a few quick definitions for a baseline.
What exactly are AEO and GEO?
AEO (Answer Engine Optimization) and its important cousin GEO (Generative Engine Optimization) are today’s more or less equivalent to trusty old SEO and are designed to help users who use natural questions for search to receive direct responses rather than a page full of links. Essentially, AEO helps generate a single, concise answer pulled directly from your page, capturing an LLM’s attention to win a zero-click search. In contrast, GEO optimizes for having your brand, data or site cited when an AI model builds a complex multi-source answer in response to your content.
Where do landing pages fit in?
Landing pages aren’t a magic AEO switch. They must convey authority based on your organization’s subject matter, be it boats, cybersecurity or fintech, as part of a broader B2B website content strategy for AI search optimization. This authority is derived from the information the domain already carries, which is derived from the site itself.
Here are the features a landing page must contain to make it extractable and citable by an LLM:
- Clear, structured content such as headers, defined terms and direct answers placed near the top of the page rather than buried under a paragraph of scene-setting, making it easy to feature in AI overviews.
- Specific, factual claims instead of pure marketing language.
- Generative engines favor recently refreshed content that matches the query at hand.
- Utilize structured data (schema) and clean HTML that make it easy for a model to parse what the page is actually saying.
The takeaway: Eliminate the product brochure language from your landing page and focus on rewriting marketing copy for AI extraction. This is accomplished by cutting phrases like “industry-leading” and “best-in-class.” Such language will turn off an LLM, which will bypass your site and favor others that are structured properly.
Why is third-party validation the other half of the equation?
Earned third-party validation is extremely important, according to Muck Rack’s “What Is AI Reading?” analysis of millions upon millions of links cited by ChatGPT, Claude and Gemini. The report found nearly 99% of sources referenced by LLMs stem from organic third-party coverage.
The majority of these are news-based. That tracks with what we see: Models treat independent, third-party coverage as confirmation that what is on an organization’s landing page is true.
This does not mean there is no place for owned content. Meltwater’s LLM visibility analysis found that owned, well-structured, maintained and updated content is still recognized by LLMs as having a place, especially for smaller or niche brands that lack supporting press coverage.
What optimization actions should marketing teams take?
Marketing teams can take the following steps for best results.
- Treat your website as infrastructure, ensuring it does not read as a sales one-pager. Structure it for extraction with clear headers, FAQs and plain-language descriptions of what you actually do.
- Try to maintain clear brand consistency across press coverage and website top facts and positioning. Consistency gives models the confidence to cite your page.
- Don’t rely on landing pages alone. Pair them with a sustained earned media strategy.
- Keep in mind that generative engines recognize and give authority to updated sites. Avoid sticking with stale content. Refresh cornerstone pages regularly.
- Implement schema markup for B2B websites. It is inexpensive to do and disproportionately helpful for extraction.
Additional best practices to include are similar to solid SEO practices, so if your site is already set up in this manner, you should be in good shape. If not, you need to:
- Break long paragraphs into short bullet lists.
- Use specific headings for each new topic.
- Put numbers and facts into neat tables instead of paragraphs.
On the technical side:
- Markdown: Use hash marks (#) for headings and dashes (-) for lists.
- Tables: Arrange data in rows and columns so the AI can compare values easily.
- JSON: Use key-value pairs (like “name”: “value”) for exact data fields.
- XML or HTML tags: Wrap text in tags (like <step>1</step>) to give a clear role to each piece of text.
Teach a man to fish…
A landing page can help your content show up in LLM answers, but it only works if your overall website has the content LLMs will trust.
A quick fix may keep your site in good standing for days. A properly configured, regularly updated site, with third-party validation, positions you for LLM pick up in the long term.
