SEO and AEO: what changes for your B2B website?

SEO helps buyers discover your website through search. AEO, or answer engine optimization, focuses on making your expertise useful in answers, including AI search. For a B2B website, the practical work is connected: accessible pages, clear answers, credible evidence, and a useful next step for the buyer.

The extra acronym can make this sound like a completely new content program. I'd start with a more concrete question: when a buyer is trying to understand the problem you solve, does your website give them something useful to work with?

What changes, and what stays useful?

Google says its established SEO practices remain relevant to AI Overviews and AI Mode. There are no additional technical requirements or special AI files needed for those features. A page must be indexed and eligible for a search snippet to qualify as a supporting link. See Google's guidance on AI features.

The content still has to earn the buyer's attention. A useful explanation should help someone understand a choice, assess a tradeoff, or take the next step. It should also make clear why your business is qualified to explain it.

My approach is to put search and AI visibility in one plan. Start with the business's real expertise, make the important pages accessible, and improve the answers that help people decide. Then measure what gets discovered and what happens afterwards.

Start with the questions behind a buying decision

A keyword list can help you identify demand. It does not tell you everything a buyer needs to know before speaking to you. Sales calls, implementation questions, and the reasons deals stall can supply more useful article briefs.

For a website migration service, those briefs might be:

• How do we decide whether to leave WordPress or improve the existing site?
• What needs to be preserved during a migration?
• Who will make website changes after the project ends?
• How will we measure whether the work helped?

Each question has a decision attached to it. A good article should help the reader make that decision, with enough context to understand when the advice applies. That is a useful standard for deciding what to publish next.

What does a useful answer look like?

Give the direct answer early, then explain the conditions and tradeoffs. If the question is whether to migrate a site, tell the reader what would justify the move before describing your process.

Use headings that make the page easy to scan. Add examples where the distinction might otherwise remain abstract. When a claim depends on a measurement, include the measure and the period. When a recommendation is your judgment, explain the reasoning behind it.

This also makes the page more useful to your own team. A salesperson can send it after a call. A founder can use it to explain a decision. The article has a job beyond creating another URL.

Use the evidence you actually have

Specific project evidence gives readers a basis for evaluating an offer. LeanLaw's 300% organic traffic increase over six months tells a different story from its website changes moving from one to two weeks to under 30 minutes. One concerns acquisition; the other concerns the team's ability to act.

Both belong in the website story. Neither establishes a result for AI citations, and neither should be presented as a universal outcome for a platform change.

A useful proof section explains what changed, what was measured, and what remains unknown. Where a result needs more context, keep the claim narrow until you have it. You can see the LeanLaw and PostHire examples on the service page.

Google's people-first content guidance asks creators to consider original information, first-hand expertise, and clear sourcing. A real project, with its limits explained, gives you more to say than a generic claim about being an expert.

How should SEO and AEO be measured?

Keep three questions separate: was the content discovered, did the visit or mention help a buyer, and did it contribute to a business outcome?

Reporting has limits. Google's documentation includes its AI feature traffic in overall Web search performance. Bing's AI Performance report shows citations across supported AI experiences. Those are useful views, but they do not provide complete attribution across every AI product. Bing explains the scope of its citation reporting here.

You can also repeat a defined set of buyer questions across the AI products your audience uses. Record the date, question, cited pages, and whether your business is described accurately. Treat that as a sample for learning. It is not a census of every answer a buyer might receive.

What would I ship first?

Start with a small set of pages that already have a clear commercial job. Improve the service explanation. Answer the questions that block a buying decision. Add a substantiated case study. Connect the articles to the service and make the next step easy to understand.

Then check whether buyers and your team can actually use the result. Can a visitor move from the question to the relevant offer? Can someone on the sales team find the article they need? Can marketing update a detail without a long queue?

The publishing process matters to that last question. A website that is difficult to change makes every improvement harder to deliver. Search work, content work, and website operations should inform one another.

That is the basis of my SEO and AEO service: identify the gaps, implement the useful changes, and keep learning from the evidence. AI visibility becomes another part of the work to measure.