Marketing to the machine: How to ensure your tech brand is the first choice for AI decision-agents

By Richard Etchison, Senior Content Director, Aspectus Group
AI answer engines are reshaping digital visibility for B2B technology companies. This article explains how brands can improve AI search optimization through GEO, EEAT-driven content, thought leadership, structured content ecosystems, and third-party authority signals that increase discoverability across ChatGPT, Claude, Perplexity, and Google AI Overviews.
Just when you mastered the science of search engine optimization (SEO), AI and its large language models (LLM) have jettisoned the playbook. Now, technology brands are jockeying for the attention of enterprise AI models like Claude, Gemini, and ChatGPT. Does this marketing to machines mean that we are entering a new era of mechanical, calculated branding that prizes artificiality? Ironically, our quest to earn the attention of artificial intelligence is catalyzing a new era of authenticity and substance. On the most fundamental level, these models are better at discerning the difference between a brand with legitimate authority and leadership in its space and a brand with only the “appearance” of credibility that can be gained in old-fashioned, keyword-stuffing SEO on Google. Let’s look at how B2B tech brands can win the favor of AI engines to gain that all important above the fold, zero-click position.
Does this mean that SEO is RIP?
SEO is still very much alive but now represents a single phase of a new visibility and authority paradigm. You are re likely acquainted with GEO – generative engine optimization, which now is another prong in a wider process that no longer singularly targets Google results. GEO is the practice of optimizing digital content and brand authority for AI-powered answer engines. The process that people use to find the information they need online has been bifurcated and branched out. The destination remains visibility, authority, and trust. The journey consists of:
- Technical SEO for EEAT
- Content ecosystems
- Social and community platforms
- SERP for GEO
- Off-site authority and brand presence
How do AI answer engines evaluate authority?
The truth is Google had already changed the face of search ranking in the past few years when it focused more on substance above keywords with its “Experience, Expertise, Authoritativeness, and Trustworthiness” (EEAT) guidelines. To evaluate authority, AI looks at the entirety of a brand’s presence instead of just perusing its website. In mid-May, Google released its first guide to optimizing for generative AI.
“Creating non-commodity content that’s helpful, reliable, and people-first: Be sure that you’re writing non-commodity content that your readers will find helpful and reliable. Commodity content (for example, something like “7 Tips for First-Time Homebuyers”) is often based on common knowledge, which could originate from anyone, and typically adds little unique insight for readers. In contrast, non-commodity content (such as “Why We Waived the Inspection & Saved Money: A Look Inside the Sewer Line”) provides unique expert or experienced takes that go beyond common knowledge and the ordinary.”
– Optimizing your website for generative AI features on Google Search
Why third-party validation matters in AI-driven search discovery
This has long been a foundation premise in B2B marketing, in which tech brands earn trust of target audiences through producing truly helpful, educational content like explainer videos, white papers, and how-to blog posts. Third-party validation also happens to be the foundational premise of public relations and strategic communications. We help B2B tech brands earn credibility by helping them earn media mentions like expert commentary, op-ed bylines, speaking engagements, and other non-sales pitch, thought leadership media content. AI considers this invaluable third-party bona-fides to evaluate the brand’s voice of authority.
SERP ownership improves AI citation potential
B2B brand authority in AI search is not only about ranking. Inclusion in AI-generated answers is an imperative. Brands which own as much SERP acreage as possible appear in Google AI Overviews and ChatGPT web results, across features which take up significantly more physical space on the results page, such as featured snippets, images, FAQs, and expanded sitelinks – the extra links under a main result.
Don’t be content with salesy content
For example, a B2B tech company can earn authority by consistently generating savvy owned content such as thought leadership videos and blog posts. Firstly, content like blog posts should provide real-world, practical advice or information to target audiences, without hard selling them products or services. Secondly, AI looks for certain content elements that it can extract for use in those topline features on the results page. Those elements include succinct, extractable blog article summaries and reference bibliographies or other citation formats (provided the cited sources are credible, from academic, reputable consultants or publishers). In effect, a brand is striving to earn the trust of AI models by demonstrating the author’s depth of research and legitimacy, that the author is in fact a credentialed human, and the blog post has a unique, non-commoditized perspective.
Connect content pieces to build long-term authority
A B2B tech brand should build a cohesive content ecosystem that connects dots across channels from owned blog pages and earned op-ed bylines to press releases and YouTube explainer videos. AI tools interpret content through breadth, context, and relationships between topics. This process of query fan-out “splits a user query into multiple sub-queries, collects information for each sub-query, then merges relevant information into a single response.”
Content that compounds structured, interconnected hubs increase trust and traceability and is optimal for AI answer engines. Moreover, when thinking about launching an AI-first content strategy, tech brands should now incorporate social and community platforms like Reddit, YouTube, LinkedIn, Medium, and Wikipedia. Reddit is the #1 cited domain among LLMs (October 2025), according to Semrush.
Integrated communications with thought leadership drives AI discoverability
It is exciting when we have tech clients ask us to run fully integrated communications programs because then we can directly connect their content dots that drive top AI search rankings. We are encouraged by enterprise AI putting a premium on a brand’s authentic authority, painstakingly built over the long-term. We are all fatigued by disingenuous or shallow brand messaging and marketing. We are headed for a new era of high-quality communications and brand messaging. It’s not just a matter of breaking through the noise anymore, it is about rising above the noise. It is about trust and proving your brand’s value proposition. It is about quality over quantity, although consistent quantity matters. AI search optimization for B2B tech brands is an art and a science.
In practice, this looks like a tech brand with that content ecosystem, with consistent messaging that offers real value to customers; a consistent drumbeat of earned media coverage that showcases the real expertise of the brand’s leadership; and digital marketing that respects its audiences by showing instead of telling.
The truth is that the landscape of search and AI discoverability is changing and evolving swiftly. Our digital marketing and content teams are tracking every change and helping our clients adapt on the fly. We truly believe there will be a general backlash on the recent proliferation of misinformation, artificiality, and machine-generated content. Genuine, substantive content, messaging, and PR will be competitive differentiators in the AI-driven world.
We are happy to talk about everything AI, from your company’s AI messaging to market analysis, to audience perception and AI search visibility
Key takeaways
What is changing about search for B2B tech brands?
AI answer engines are reshaping discovery, making authority and trust more important than rankings alone.
Is SEO still relevant?
Yes, but SEO is now part of a broader AI visibility and GEO strategy.
How do AI systems evaluate authority?
They assess expertise through content quality, earned media, SERP presence, and third-party validation.
What content performs best in AI search?
Educational, well-structured, and extractable content performs best in AI-generated answers.
What should B2B tech brands prioritize?
Long-term authority through thought leadership, integrated communications, and consistent expertise signals.
About the author
Richard Etchison specializes in delivering elevated thought leadership, brand messaging, and marketing content for high-growth companies across financial services, capital markets, technology, energy & industrials, and professional services. Richard helps clients talk clearly about their brand, build authority and influence in their space, and distinguish themselves in the marketplace.