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The CMO's Guide to AI-Driven Software Discovery: Visibility vs. Trust in the LLM Era

byJennifer Geisler/May 26, 2026

Executive Summary

AI is changing how buyers discover software, and it is happening quickly. For CMOs, the biggest risk is not invisibility. The real risk is being confidently misrepresented by AI summaries that rely on shallow signals, incomplete information, and popularity-driven rankings. In an AI-driven buying environment, visibility still matters because it accelerates discovery. But credibility is what determines conversion, and expectation-setting ultimately determines retention.

Marketing leaders therefore have a new responsibility. It is no longer enough to ensure the company is visible in the market. CMOs must also ensure that when buyers or AI systems summarize the product, they represent it accurately.

The Hidden Risk: AI Accelerates the Wrong Moment

AI systems are very effective at identifying patterns. They summarize what appears frequently, amplify repeated claims, and elevate information that shows up across many sources. What they struggle with is context. Tradeoffs, implementation constraints, and operational realities are rarely repeated in exactly the same language across sources. The result is a compressed understanding of products that may appear confident but lacks important nuance. When buyers enter conversations with overly simplified expectations, problems tend to appear later. Acceleration without context creates expectation gaps, and expectation gaps are one of the most common drivers of churn.

How PeerSpot Approaches the Problem

PeerSpot was designed with a different objective. The goal is not to make vendors appear popular. The goal is to help buyers make well-informed decisions. The platform focuses on long-form practitioner experiences that include context about the reviewer's role, organization, environment, and use case. Reviews often describe real deployment outcomes, integration realities, and lessons learned during implementation. This kind of information tends to survive AI summarization more effectively because it contains the kind of structured detail that AI systems can retrieve and reuse.

The Right Strategy for CMOs

High-performing marketing teams rarely rely on a single source of validation. They recognize that different signals influence buyers at different stages of the journey. Early research tends to focus on visibility, rankings, and broad comparisons. As buyers move closer to a decision, their questions change — they begin looking for practical insight from people who have already implemented the product. At that stage, depth becomes more valuable than scale.

The CMO Takeaway

AI will continue to accelerate how buyers discover technology. But the marketing leaders who succeed in this environment will not simply be the most visible. They will be the ones whose products are represented accurately when buyers are making real decisions. Visibility still starts the conversation. Credibility is what closes the deal.

Jennifer Geisler is Chief Marketing Officer at PeerSpot, where she leads global marketing strategy, brand, demand generation, customer advocacy, and AI-driven initiatives. A seasoned technology executive, Jennifer has helped lead two successful IPOs and has built and scaled marketing organizations across cybersecurity, SaaS, AI, and enterprise technology companies. Known for turning customer insight into market influence, she is passionate about helping technology buyers make more informed decisions and helping vendors better understand the voice of their customers.