# AI-driven SEO in 2026: Key Actions for Teams
Today’s digital landscape is rapidly evolving, with AI playing a pivotal role in shaping SEO and web performance strategies. This week, several developments have emerged that are crucial for ecommerce SEO and web performance teams to understand and act upon. From Google's latest updates to ChatGPT's shifting user base, here's what you need to know.
Google’s Generative AI Reporting Bug
Recently, Google Search Console introduced performance reports for Generative AI, but a bug has been documented affecting data logging in Discover and Generative AI Discover reports. This issue highlights the challenges that come with integrating new AI technologies into existing platforms [1].
What this means for your stack: Monitor your Discover performance data closely and be prepared for potential discrepancies until Google resolves this bug.
ChatGPT’s Expanding Non-English User Base
OpenAI's data indicates a shift in ChatGPT usage, with a growing number of users interacting in non-English languages. Growth is particularly strong in Africa and Asia, showcasing the global reach and adaptability of AI tools [2].
What this means for your stack: Consider localizing content and optimizing for multilingual SEO to capture this expanding audience.
Google’s AI Mode and Recipe Links
Google has updated its AI Mode to prioritize recipe site links at the top of responses. These links now include creator names, ratings, and ingredient counts, enhancing user experience and visibility for recipe creators [3].
What this means for your stack: If your content includes recipes, ensure your metadata is optimized to leverage this new feature.
Understanding ChatGPT’s Source Selection
An analysis of ChatGPT’s source selection reveals the importance of crawlable facts, third-party validation, and query-level search triggers over generic GEO tactics [5].
What this means for your stack: Focus on creating authoritative, well-validated content to improve your visibility in AI-driven search results.
Local Marketing Complexity and Solutions
A recent survey suggests that many CMOs find local marketing complex. Solutions include using an AI layer and a local optimization framework to tackle multi-location branding challenges [6].
What this means for your stack: Implement AI-driven local optimization strategies to streamline your local marketing efforts.
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Authored by the ControlVitals Editorial Team — performance and SEO practitioners auditing real production sites every day.
Editorial transparency: this article was researched and drafted with AI assistance, then reviewed by our editorial team for factual accuracy before publication.