AI-generated answers: a new battleground for brand visibility
AI search visibility is the ability of a brand’s content, messages, and proof points to be correctly identified, summarized, and cited inside AI-generated answers that shape buyer decisions. As large language model-driven search engines replace traditional results pages with conversational outputs, buyers are forming preferences before they ever click a website. Gartner has forecast that traditional search volume could fall by 25% by 2026 as AI chatbots and virtual agents take over query handling, while Pew Research Centre found that Google users clicked a standard result in only 8% of visits when an AI summary appeared, compared with 15% without one. For marketers, this means the critical “win or lose” moment is shifting into opaque AI systems that decide which brands show up, how they are described, and whose claims sound most credible.
Inside Sitecore’s acquisition of Scrunch
Sitecore’s acquisition of Scrunch is a direct response to this shift in buyer behavior and AI discovery optimization. Scrunch is positioned as an enterprise platform for monitoring where a brand appears, is omitted, or is misrepresented across AI-generated answers. Its Agent Experience Platform (AXP) formats content so that AI agents and large language models can process it while keeping the human-facing web experience intact. Sitecore plans to fold these tools into its digital experience platform to help marketers see which buyer queries mention their brand, how competitors are positioned, and where source citations and content gaps sit across AI systems. Scrunch reports adoption by more than 500 brands and agencies, and highlights outcomes such as a 364% increase in brand presence for non-branded prompts and a 218% increase in citations in AI-generated results for Akamai using AXP-enabled pages.
From AI search visibility insight to content action
The strategic hook in Sitecore’s move is not only monitoring brand representation AI but tying those insights directly into content workflows. Scrunch’s recommendations will sit inside Sitecore’s content management, content marketing, and digital asset management tools, so teams can move from diagnostics to execution without switching platforms. This matters because AI-generated answers expose issues that classic SEO could partially ignore: fragmented product and help content, outdated claims that models still retrieve, and inconsistent naming or proof points across business units. By pairing answer engine optimization with daily content operations, marketers can update messaging, fix entity data, and publish AI-friendly pages that maintain a good human experience. In effect, the integration turns AI discovery optimization into a continuous cycle: detect gaps in AI answers, adjust content and sources, then measure changes in how often and how accurately the brand appears.
Influencing AI-driven discovery and buying decisions
The Sitecore–Scrunch combination is framed around a simple reality: AI systems now influence brand perception long before a human sales conversation. Sitecore’s CEO Eric Stine argues that “the internet must be written for machines to understand if we want humans to experience it,” highlighting how content must serve both people and AI agents. Scrunch aims to show where brand messages are present, missing, or distorted in AI-generated answers, then work with SitecoreAI to reshape content across web, social, and other channels. As Chris Andrew of Scrunch notes, control of the brand narrative is shifting as customers trust AI to define brands. For marketers, success now means winning inside AI-generated answers, ensuring their brand appears with clarity, authority, and relevance so buyers find, trust, and choose them earlier in the journey.
A wider shift toward AI-native martech stacks
This acquisition also signals a broader consolidation trend in enterprise marketing technology. As answer engine optimization becomes intertwined with content governance, large organizations want AI-native capabilities that fit into existing stacks rather than standalone tools. The convergence of AI search visibility with digital experience platforms reflects where marketing “wins” and “losses” now occur: inside AI models that decide which vendors to mention and which claims to surface. Semrush-reported data shows the gap, with only 22% of surveyed US marketers having a fully integrated AI search and SEO strategy, while 37% say competitors are mentioned more often in AI results. Sitecore’s move suggests that future martech will be composable but connected—modular AI discovery tools plugged into shared workflows—so insights about brand representation AI can reliably turn into updated copy, structured data, and measurable changes in AI-generated answers.
