Google’s latest moves in AI-powered search are forcing publishers and creators to rethink visibility strategies. The search giant has rolled out Search Profiles for publishers whilst the industry grapples with tracking AI search prompts and adapting to new discovery mechanisms. Meanwhile, Google’s updated GEO guidelines signal that traditional SEO remains foundational, even as answer engines and AI citations reshape how brands get found.
Google has introduced Search Profiles, giving publishers and creators a dedicated landing page within Google Discover. This feature provides a direct channel to reach audiences without relying solely on traditional search results pages. Publishers now have a branded presence that surfaces their content, profile information, and latest articles in a single location.
The move signals Google’s shift towards personalised discovery over keyword-driven search. Brands can leverage Search Profiles to establish authority and drive repeat traffic. For publishers, this means optimising profile information, maintaining consistent publishing cadence, and understanding how Discover’s algorithm prioritises content from established creators.
More info: https://www.semrush.com/blog/google-launches-search-profiles/
Tracking which AI search prompts surface your brand has become essential. Rather than monitoring every possible query variation, marketers should build a focused, high-signal prompt set that reveals where their brand stands in AI search results. This requires identifying prompts that matter most to business goals and audience intent.
The framework involves three steps: define core topics relevant to your industry, identify variations that trigger AI-generated answers, and monitor how often your brand or content appears in those results. Brands that skip this step risk missing visibility gaps in answer engines and AI citations, which now influence how audiences discover information.
More info: https://www.semrush.com/blog/which-ai-search-prompts-to-track/
Google’s official GEO (Generative Engine Optimisation) guidelines clarify what works in AI-powered search environments. The guidelines confirm that SEO still matters, but they debunk myths around structured data as a guaranteed ranking factor. Instead, they emphasise content quality, topical authority, and relevance as primary signals.
Brands should not abandon traditional SEO practices. Rather, they need to adapt them for AI contexts. This means creating comprehensive, well-researched content that answers user questions thoroughly. The guidelines also highlight that answer engines prioritise trustworthiness and expertise, making E-E-A-T signals more critical than ever.
More info: https://moz.com/blog/google-geo-guidelines
Answer engines and AI-generated citations are becoming dominant discovery mechanisms. MozCon NYC 2026 will address how brands can win SERP visibility, secure answer engine citations, and drive AI growth. The conference recognises that traditional keyword rankings no longer tell the full story of search visibility.
Brands must now optimise for citation in AI systems, which requires different tactics than ranking for keywords. This includes creating content that AI models find authoritative, participating in knowledge graphs, and ensuring brand information is accurate across web sources. The shift demands a new skill set from marketing teams focused on visibility beyond traditional SERPs.
More info: https://moz.com/blog/first-batch-speaker-announcement-mozcon-nyc-2026
As AI reshapes search, content quality and production standards become more important. Moz’s guidance on creating high-quality video content underscores that brands still need polished, well-structured materials to stand out. Whether it’s whiteboard videos, blog posts, or multimedia content, execution quality matters when competing for visibility.
Publishers and creators should invest in production standards, clear messaging, and on-camera delivery. These elements influence how content performs in discovery algorithms and how audiences perceive brand authority. Quality content remains a cornerstone of any visibility strategy, whether in traditional search or AI-powered discovery.
More info: https://moz.com/blog/how-to-film-a-great-whiteboard-friday-video
The convergence of Google Search Profiles, AI search tracking, and updated GEO guidelines signals a fundamental shift in how visibility works. Brands that adapt quickly—by tracking AI prompts, optimising for citations, leveraging new discovery channels, and maintaining content quality—will retain competitive advantage. The era of SEO hasn’t ended; it’s evolved.
What is Google Search Profiles and how do publishers use it?
Google Search Profiles is a dedicated landing page for publishers and creators within Google Discover. It displays your profile, recent articles, and content in one branded location, helping audiences find your work without relying solely on keyword search.
Why do brands need to track AI search prompts?
Tracking AI search prompts reveals where your brand appears in answer engine results and AI citations, which are increasingly important discovery channels. Without this data, you miss visibility gaps that traditional keyword tracking doesn’t capture.
How do Google’s GEO guidelines change SEO strategy?
GEO guidelines confirm SEO still matters but emphasise content quality and topical authority over structured data alone. Brands should focus on creating comprehensive, trustworthy content that appeals to both traditional search and AI systems.
What is the difference between traditional SERPs and answer engine citations?
Traditional SERPs rank pages by keywords; answer engines cite sources within AI-generated responses. Optimising for citations requires different tactics, including building authority signals and ensuring accurate brand information across the web.
How should marketers prioritise visibility in AI search versus traditional search?
Both matter. Brands should maintain traditional SEO practices whilst simultaneously optimising for AI visibility through citation tracking, prompt monitoring, and authority building. A dual approach ensures coverage across all discovery channels.
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