Your upcoming pipeline issue might begin in AI Search.

      I've noticed a recurring trend across the B2B SaaS teams I collaborate with. The pipeline appears less predictable, sales cycles are prolonging, and conversion discussions necessitate more clarification than in the past. Meanwhile, traffic often seems stable or even on the rise. This disconnect stems from a shift that's not immediately apparent in analytics. Buyers are forming their initial opinions earlier, influenced by AI-generated responses that dictate which companies make it onto their consideration list. If you're not featured there, you're excluded from the evaluation process – effectively, you're out of the decision-making process.

      I explored this with a client over the past year. They are a Fintech SaaS company in the financial close automation sector, which is dominated by the top five competitors that have been consistently producing content for a decade and possess Domain Ratings that make it difficult for newcomers to stand out. They had a good product, legitimate customers, and a solid team, yet almost no organic visibility. Initially, the website received 10 to 20 organic clicks daily, with over 60% of that traffic coming from searches for the brand name directly. This indicated that they were not being discovered by anyone other than those already aware of their existence.

      We conducted searches using ChatGPT, Perplexity, and AI Overviews to focus on the actual queries buyers enter when looking to solve problems, not when they already recognize a vendor. Common queries included "best financial close software" and "how to automate account reconciliation." Unfortunately, they weren't visible; their larger competitors dominated the results.

      Upon deeper investigation, we found that their positioning was not strong enough to be memorable. While the website contained content, it was disorganized – covering too many audiences and use cases and failing to address specific buyer issues. Without a clear signal, AI systems are unlikely to take a chance on your company, opting instead for those they can confidently categorize.

      We didn’t alter the product or increase advertising efforts. Our focus was on one objective: simplifying the company's message and placing it distinctly within a category. We improved positioning, tailored content to match buyer inquiries at each decision stage, and ensured coverage of the critical transactional terms relevant to their pipeline.

      Nine months later, the results were impressive: a 275% increase in organic traffic, 19,781 keywords in the top three rankings, and most importantly, they began to receive citations in ChatGPT, Perplexity, and Google's AI Overviews, with over 100 mentions across these platforms. The nature of pipeline conversations shifted significantly; buyers arrived already aware of the product's functions. This led to shorter calls, better-qualified leads, and reduced time spent explaining the category.

      This isn't merely a win for SEO; it's indicative of a company becoming easier to recommend.

      The misunderstandings CMOs often have

      AI doesn't discover your brand. It reflects existing perceptions built from the broader information landscape. When a buyer questions ChatGPT for recommendations, the model isn’t evaluating your homepage; it pulls information from numerous signals: how you're presented on review sites, how you're positioned in comparison content, what industry publications state, and whether your customers use consistent terminology when discussing you.

      If these signals are disorganized or too generic, you will receive equally disorganized or generic outcomes. Or you're entirely overlooked.

      Consequently, a significant part of the AI visibility issue isn't actually an AI challenge; it's a positioning problem that's persisted over time. The difference now is that it has more acute commercial repercussions than previously.

      A few years back, a buyer with a vague understanding of your company might still visit your site, consume some content, and you would have the opportunity to influence their perception. That still happens, but a larger segment of demand is being addressed before reaching you. Buyers already create a shortlist during AI interactions before evaluating those options.

      If you weren't part of that discussion, you won't be on the shortlist. It’s as straightforward as that.

      What needs to change

      I want to be clear: much of the “GEO” or “AEO” content currently circulating is agencies trying to create urgency around a new service. While some is valid, a portion is mere noise.

      Based on my experience with SaaS companies through this transition, I can say that those succeeding in AI search are not performing complex strategies; they are executing the basics effectively. They are well-positioned for a specific buyer, possess concrete proof that is sufficiently detailed to be referenced – real customer outcomes rather than vague case studies. They establish a presence in the places where buyers formulate opinions prior to their searches: communities, comparison sites, and third-party content.

      Moreover, their website addresses questions in a clear manner, leading to inclusion in AI responses. If you're seeking a more tactical overview of effective strategies for SaaS, this guide outlines eight specific approaches currently yielding results.

      None of this is novel. What's changed is the stakes. Previously, being vague about your identity might have merely impacted conversion rates. Now it jeopardizes your presence on potential consideration lists