Increase Your AI Visibility in 2026: How B2B Tech Companies Can Build a PR-Driven Generative Engine Optimization Strategy

Your next enterprise customer won’t find you on Google or the Gartner’s MQ. Instead, they’ll start their search by asking ChatGPT, Gemini, or Perplexity for the best tech solutions in your space. And they’ll trust the answer they get.

Welcome to the era of Generative Engine Optimization (GEO) and AI visibility.

This isn’t a future trend to watch. It’s a real-time shift that’s impacting enterprise sales and changing how B2B buyers shortlist, evaluate, and compare tech solutions. 

So, how can B2B tech providers appear when prospects prompt AI engines? It starts with an intentional, GEO-aligned PR strategy.

Let’s break it down.

1. Earned Media Fuels AI Recommendations

Recent analysis from MuckRack of over 1 million citations from top LLMs found that 89% of sources come from earned media. That includes news articles, interviews, and trusted third-party content.

Not your website. Not your blog. And definitely not paid placements.

This shift transcends building brand awareness with your buyers. We’re talking about leveraging PR to build a signal trail that trains LLMs to associate your brand with buyer-relevant prompts.

And in almost every case, that signal trail starts with the media. In B2B tech PR, that’s often specific industry trades–such as cybersecurity, supply chain, or AI publications, for instance.

2. Credibility Matters More Than Keywords

Generative AI doesn’t care about meta tags or link building. Instead, it asks: Who’s saying this? And are they trusted?

Source credibility matters a lot. For instance, in our GEO research, we’ve found that:

• Some publications carry 10x more influence than others in how often they are cited by LLMs. The specific publications that matter vary based on your industry, solution, and buyer.
• Citations from analysts, government sources, industry awards, user forums, and customer review sites play a key role in boosting your credibility.

The key is identifying and prioritizing the right third-party signals in your market.

3. You Can’t “Hack” GEO. But You Can Influence It

There’s no keyword planner for generative AI. No #1 organic rank. No bidding for position (at least not yet… but you can bet it’s coming).

However, you can reverse-engineer the system by:

• Working with sales to identify what your customers are asking LLMs
• Mining Reddit, product forums, user communities, and social to uncover conversational prompts
• Incorporating traditional SEO keyword research and search trends
• Reviewing what sources and voices LLMs cite most often
• Mapping and prioritizing the third-party platforms that hold the most influence in your market

This is where an AI-first B2B tech PR agency should earn its weight. Not just by landing a story, but targeting the right publications and narratives that simultaneously influence both your buyers AND the machines they turn to for recommendations.

4. Thought Leadership is the New Tech Domain Authority

The old SEO playbook rewarded keyword-stuffed blog posts. That won’t cut it anymore.

Generative engines reward consistency of voice and perspective. Recency also matters – a lot. If your executives are known for speaking about supply chain visibility, AI risk, ransomware, or healthcare procurement, for instance, over time, LLMs will start associating your brand with those topics. That’s how category ownership begins.

So Why Double Down Now on PR and GEO in 2026?

Because PR is the driving force behind AI visibility. Showing up requires consistent brand awareness and third-party credibility.

And these models are learning and making recommendations right now.

If you don’t have a PR strategy for 2026, or decide to pull back on thought leadership or media relations for other marketing investments, you will starve LLMs of the signals they need to recognize your company.

There are two likely outcomes in this scenario. The first: reduced MQLs and lost 2026 and 2027 pipeline. The second: Your competitors will fill the gap. And once generative engines begin associating their voices with the conversations you should be leading, it will become much harder (and slower) to win that ground back.