More than half of B2B technology buyers now start their research with an AI chatbot rather than a traditional search engine, and the answers these AI systems provide are reshaping which vendors get considered. According to G2's Answer Economy Report, 51% of B2B buyers began their research journey with an AI chatbot in 2026, up from 29% just a year earlier. Even more striking: 69% of those buyers said the AI's answers changed which vendor they ultimately chose to evaluate.

This shift represents a fundamental change in how brands are discovered. When a buyer asks ChatGPT, Google Gemini, or Perplexity who the leading players are in a software category, the AI doesn't hand back a list of links. It reads everything ever written about you and your competitors, then delivers a single verdict that most buyers rarely question. Your first impression is now an answer to a prompt you never see.

What Happens When AI Becomes the Gatekeeper?

The implications are profound. According to Forrester's 2026 Buyers' Journey Survey of 18,000 buyers, 94% used AI in their most recent purchase decision, and answer engines now outrank vendor websites and sales representatives as the top research source. This means the conversation between buyer and vendor is increasingly mediated by an AI system trained on publicly available information.

The challenge is that AI models don't just summarize what's written about you. They cross-reference claims against everything else they've learned. A hundred keyword-stuffed pages claiming you're the category leader will be weighed against what credible, independent sources actually say. The model sides with the evidence. This is why manufactured reputation no longer works; only earned reputation survives being fact-checked by an AI trained on the entire internet.

The real estate has changed, but most brands haven't noticed. According to HG Insights' analysis, 63% of technology buyers now use AI to research software, and 83% narrow their evaluation to three or fewer products before making a purchasing decision. If your brand doesn't show up in those AI-generated answers, you're invisible to the majority of your market.

How to Measure and Improve Your Brand's AI Visibility

• Test What AI Says About You: Ask the AI tools your buyers actually use the questions they're asking. Perplexity, ChatGPT, Claude, and Google's AI Overviews will each give you different answers. Document what comes back, both the flattering and the brutal.
• Identify Content Gaps: If an AI doesn't mention you at all, that's a content problem. You need enough credible coverage in the sources these models trust to show up in the first place. This isn't about press releases; it's about substantive, independent coverage.
• Audit Your Sources: AI models draw from specific trusted sources. Understanding which sources the models rely on most helps you target your earned media efforts where they'll actually influence the AI's answer.
• Monitor Competitive Positioning: Track not just whether you appear, but how you're described relative to competitors. Outdated answers need new earned media to outweigh them; wrong answers need correction at the source.

This emerging discipline has a name: generative engine optimization, or GEO. If SEO was about earning a place on a page of links, GEO is about earning a place in the answer itself. It's essentially reputation management for an audience of machines.

Who Should Own This Problem?

Here's where it gets interesting: GEO doesn't fit neatly into any single department. Marketing, SEO, content, and communications all shape how an AI describes your brand, yet each typically sits in a different budget line. The result is that the problem falls through the gap. AI models read across every department simultaneously: marketing's landing pages, PR's media coverage, HR's Glassdoor reviews, and product's pricing information. Then they hand the buyer a single story. You can't tell that story well with four owners in four divisions.

"AI search has fundamentally changed how B2B buyers evaluate software, and most vendors have no idea what's happening in that conversation," said Nik Koutsoukos, Vice President of Product Marketing at HG Insights.

Nik Koutsoukos, Vice President of Product Marketing at HG Insights

Communications teams are increasingly positioned as the natural home for GEO strategy because they've always managed reputation. The fix isn't picking a winner among departments; it's giving one team ownership of the narrative and having the rest feed it. Smaller, more agile businesses have an advantage here: one person already owns the story.

What Are Companies Doing About This Right Now?

The market is responding. HG Insights, a B2B intelligence platform, recently launched a GEO-powered software review platform called HG Customer Voice that combines AI search visibility monitoring, verified customer reviews, technographic intelligence, and optimization services. The platform enables vendors to monitor how their products are cited and described across AI-generated search results while providing competitive benchmarking and AI search intelligence.

The new GEO Monitoring Dashboard includes three core tools: Product Monitoring shows how individual products are referenced across AI-generated responses; Category Monitoring tracks visibility within broader software categories; and Crawler Analytics identifies which AI engines are accessing content and how that information is being used.

TrustRadius, which powers the platform, receives approximately 60 million annualized crawls from major AI engines each year, with roughly half representing real-time requests used to answer buyer queries. This data reveals just how actively AI systems are mining content to answer buyer questions.

"AI has changed who answers a buyer's first question. It used to be a search result; today it's an AI engine, answering with whatever content it trusts most," said Rohini Kasturi, Chief Executive Officer of HG Insights.

Rohini Kasturi, Chief Executive Officer of HG Insights

HG Insights also introduced Customer Voice Package Premium, which includes GEO Optimization Services designed to help vendors align review content and prompt strategies with their go-to-market priorities and the questions prospective buyers are asking through AI search. The platform pricing starts at $30,000 annually, with standard monitoring covering Google AI Overviews, Google AI Mode, and ChatGPT, while the premium offering adds Claude, Perplexity, Microsoft Copilot, Gemini, ChatGPT Search, and GEO optimization services.

The Shift From Visibility to Truthfulness

The work of managing your brand in AI-first discovery is less exotic than the acronyms suggest. It starts with measuring honestly and asking the AI tools the questions your buyers actually ask. What comes back tends to fall into four categories: whether you're mentioned at all, whether what's said is true, whether uncomfortable truths need repositioning, and whether outdated information needs to be outweighed by stronger coverage.

The good news is that AI-first discovery rewards the brands that have been doing reputation properly all along: substance over noise, consistency over campaigns, and evidence and proof points over fluffy adjectives. It removes the hiding places. It's a compounding asset, not a sprint. You can't switch it on the week before a funding round, a major deal, or a crisis. Instead, you have to be consistent, slow, and steady, with consistency of narrative beating speed every time.

The old question was whether buyers could find you. The question now is this: when the machine speaks for your brand, does it mention you at all, does it tell the truth about you, and is that truth good enough to win? That's the question worth building your reputation around.