This article outlines common pitfalls in SEO testing, such as using inappropriate methodologies like A/B or pre/post testing without accounting for external variables. It emphasizes incrementality testing as the gold standard for isolating ranking impact, which is crucial for B2B tech media companies optimizing their own content and advising clients.

This article argues against a 'wait and see' SEO strategy during periods of uncertainty around AI search and zero-click results, noting that organic trust and authority take time to build and pausing creates a momentum deficit that is costly to recover. For a B2B tech media company, this reinforces the need to continue investing in SEO and content, especially as the landscape evolves. The piece encourages maintaining efforts and testing rather than freezing budgets.

Search growth is decelerating, and major publishers are considering leaving Google, driven by regulatory fines and legal challenges. This shift could alter the search landscape, impacting B2B media companies reliant on Google traffic.

This article provides a strategy for reviving underperforming ecommerce SKUs by using Google's Performance Max campaigns to give them renewed visibility. It outlines a process to move neglected products into a dedicated 'zombie SKU' PMax campaign, leveraging automation to find new demand. For a B2B tech media company, this presents a content opportunity to create similar tactical guides for digital marketers.

Ahrefs' analysis of AI search trends for 2026 provides data-backed insights into evolving search behavior, emphasizing the growing importance of AI-driven discovery for B2B tech content. For a B2B media company, this signals a need to monitor AI search patterns and adapt content strategies accordingly to maintain visibility.

Check robots.txt on SearchAI to ensure AI crawlers (e.g., Google-Extended, GPTBot, CCBot) are allowed to crawl key content pages for AI answer generation.

Create a comprehensive guide for channel partners and advertisers on steps to transition from DSA to AI Max, including monitoring changes, adjusting landing page strategies, and leveraging AI Max's broader targeting while maintaining control.

Implement a company-wide program to audit and optimize all technical publications for AI agent consumption, including structured data, clean HTML, and semantic HTML5 elements.

Conduct a cross-portfolio audit to ensure all sites use consistent structured data for key content types (articles, guides, comparisons).

Implement FAQ schema and entity markup on all comparison guides and buying guides. These are the highest-intent B2B content and the primary targets of AI Overviews.