Maximizing Visibility: B2B SEO Strategy in an AI-Driven World
Is Your Company Showing Up Where Engineers Are Actually Searching? A Practical Guide to AEO/GEO
Every time a new search technology reshapes how buyers find information, it’s a little like the moment a city builds a new highway — traffic patterns shift almost overnight, and the businesses that don’t move their signs find themselves on a road nobody drives anymore. That moment is happening right now as AI is moving the digital marketing world from Search Engine Optimization to Answer Engine Optimization or Generative Engine Optimization. If you’re a B2B marketer, you need to understand what it means because by doing so, you might gain an edge on your competition.
AEO/GEO Is Not a Replacement for SEO — It’s an Evolution
AEO or GEO (Generative Engine Optimization and AEO terms are being used interchangeably in the industry right now), is the discipline of optimizing your content so that it gets surfaced by AI-powered search tools like ChatGPT, Perplexity, Claude, and Google’s AI Overview. The good news for anyone who has invested in SEO over the years: AEO doesn’t make that work obsolete. It builds on it.
Here’s why: AI engines pull heavily from Google’s rankings to generate their answers. The higher your content ranks in traditional search, the more likely it is to be pulled into an AI-generated response. So, the foundation you’ve already built in SEO still matters. What AEO asks you to do is go further — and in some important directions that SEO never required.
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View eBookThe Shift from Keywords to Questions
The most fundamental change between SEO and AEO is the nature of the query itself. In the SEO era, users typed short keyword strings: “NEMA 4 enclosure,” “PCB manufacturer,” “industrial pump.” In the AEO era, they are typing full sentences — sometimes full paragraphs. “I need a 10 x 12-inch enclosure that’s waterproof, rated for industrial environments, and can ship by Friday.” That is an actual search happening in AI engines right now.
What that means for your content strategy is that product pages and blog articles can no longer survive on keywords alone. They need to contain specific, detailed answers to the questions your buyers are actually asking. Details like dimensions, application parameters and environmental ratings matter and need to be included in online content. The bottom line? The more precisely your content matches the specificity of the query, the more likely it is to be cited as a reference source.
One example of following these guidelines was enhancing product pages with clearer dimensions and application context to better align with how engineers search. For example, one of our client’s product pages highlights detailed sizing information for the specific model—such as external dimensions of 4.54″ × 3.88″ × 2.19″ and internal dimensions of 4.28″ × 3.28″ × 1.93″—along with key product attributes like NEMA/IP ratings and typical applications. This structured technical information makes the page more useful for size-based and specification-driven searches. As a result, we are seeing size-related queries and product pages appearing as entry pages in reports, along with increasing AI-driven referral traffic as richer product data is surfaced in AI search
The Strategies That Are Working Right Now
At Goldstein Group Communications, we have been developing and testing AEO strategies across our B2B client portfolio, and a few approaches are showing consistent results.
Comparison content. AI engines are strongly drawn to content that directly compares two things — two products, two specifications, two approaches. We’ve produced comparison articles for clients, such as one contrasting PCB versus PCBA (printed circuit board versus printed circuit board assembly), that are performing well in both traditional SEO and generating AI referral traffic. Now, no one wants to mention a competitor on your own site. Instead, our approach is to craft these pieces, so they do not mention a competitor by name but still include an objective comparison of competitive products. A comparison that explores these differences can earn citations from AI engines more effectively than purely promotional content.
People Also Ask. When you type a priority keyword or phrase into Google and scroll down, you’ll see the “People Also Ask” section. That is a gold mine for AEO that companies can leverage. Google is showing us exactly what people are searching for, with the phrasing they’re already using. By incorporating those questions — and their answers — directly onto your web pages, you’re essentially preparing your content to respond to what buyers are already asking. And you’re increasing your likelihood that they’ll find you and your answer when they look.
Schema markup. Schema is short code added to web pages that helps Google quickly identify key information: authorship, publication date, product specifications, FAQs, star review ratings. While AI chatbots don’t crawl schema directly, the boost it provides in Google rankings has a downstream effect on AEO visibility. Schema markup presents marketers with a mechanism that rewards the effort.
Develop a process for identifying AEO topics to write about. Unlike traditional search engines, people enter lots of text into an AI prompt box. Often, the prompts are detailed and specific, especially when people are searching for a solution to a problem. As of today, the AI tools don’t tell us what people searched for, so we need other ways to surface these topics.
Social listening tools like Sprout Social allow marketers to monitor conversations across platforms such as LinkedIn, X, Reddit, and industry communities. By tracking keywords, hashtags, competitor mentions, and industry topics, marketers can read the specific questions, frustrations, and discussions decision-makers are having. Then marketers can write content that addresses the detailed questions typically searched in AI and not in Google.
If you don’t have a social listening tool, and most B2B manufacturers don’t, you can glean much of this from website chat logs and form submissions. When requesting a quote, visitors to your company website may include detailed descriptions of their problems in their form submissions. These problems may make excellent topics for AEO. The same holds true for chat logs. Mine the logs of your site’s chat tool, and you may uncover a gold mine of specific, detailed questions that are similar to what people search in AI.
How We’re Tracking Results
One of the genuine challenges in AEO right now is measurement. Unlike Google, which shares keyword and search volume data, AI engines like ChatGPT and Perplexity provide no back-end reporting. You cannot see which queries are driving traffic to your site from those tools.
What we are doing to get around this is building custom reports in Google Analytics that track referral traffic from AI engines — which pages are receiving that traffic, and which tools are sending it. We’re also using SEMrush to monitor appearances in Google’s AI Overview. It is not a complete picture, but it’s a meaningful one. When a blog article we published starts generating AI referral traffic, that’s a strong signal that it’s being surfaced as a reference source. That data is real, and it’s actionable.
What This Means for Your Content
The content type that is winning in AEO, almost without exception, is informative blog content. Not gated white papers. Not product brochures. Ungated, expert-authored, technically credible articles that answer the questions your buyers are carrying into AI engines. If you are not producing that kind of content consistently, you are ceding that ground to someone else.
One more note on content quality: AI-generated text is detectable — and not just by humans. Overuse of em dashes, excessive punctuation, an unnatural cadence and certain “tell-tale” words or phrases are markers that both readers and, increasingly, ranking systems are learning to identify. The value of expert-authored content has never been higher. Use AI as a tool for outlines and research but let your subject matter experts provide the voice and stories.
The engineers and technical buyers your clients need to reach are already searching in AI engines. The question is whether your content is on the same road they are traveling.
Bennett Gust is AEO Manager at Goldstein Group Communications, a B2B marketing agency specializing in marketing to engineers and technical buyers.
