CMOs Enter the Multi-AI Search Era

Published on September 8, 2025

Snapshot: Search is entering a multi-AI phase, with Google still first while native AI platforms scale quickly. Users now mix tools by task, turning to conversational systems for deep dives or quick answers and using Google for breadth and reviews.


That behavior shifts the goal from ranking on a page to being cited inside an assistant’s answer.
BrightEdge reports rising agent activity as the ChatGPT user agent requests more real-time pages, signaling a move from passive crawling to on-behalf-of-the-user retrieval.

For CMOs, optimization expands across several AI engines that ingest and attribute content differently. Pages that are structured, current, and clearly sourced are more likely to be referenced within summaries. Technical SEO stays foundational, including schema markup, fast performance, clean information architecture, internal linking, and crawlable FAQs. Authority and trust signals matter more because assistants tend to surface brands with demonstrated expertise and strong reputations. Measurement also changes, since citations and context inside AI answers increasingly shape discovery.

To operationalize this, Search Engine Journal sets out a three-step playbook that fits an enterprise workflow. 

  • Track how your brand shows up across AI surfaces and over time, focusing on citations and mentions in AI overviews, ChatGPT, and similar tools.

  • Map the prompts that trigger brand mentions on each platform, then refine content so it appears for those high-yield queries.

  • Analyze the context and sentiment around those mentions to learn which attributes each engine rewards, and adjust messaging and structure accordingly.

The near-term play is rebalancing, not replacement, with brands competing to be the trusted source assistants quote when decisions are made.

Full story: Search Engine Journal

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