Search Engine Marketing

8 GEO metrics to track in 2026

Search visibility no longer starts and ends with rankings. AI-driven search has changed where discovery happens — across Google, ChatGPT, Perplexity, and beyond. Generative engine optimization (GEO) is how brands adapt, shaping how they’re retrieved and represented inside those systems. Traditional SEO metrics miss a growing share of that visibility. Pages are now summarized, excerpted,

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How to use Google and LLM insights to improve international SEO

Many companies expand internationally by duplicating their U.S. website, translating the language, and keeping the same architecture, navigation, and content structure across markets. Then performance drops. International versions may convert at half the rate of the original site or struggle to gain traction altogether. The issue usually isn’t translation. It’s assuming users in different markets

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AI SEO punishes lazy marketing strategies by Brick Marketing

Over the past few decades, digital marketing has settled into a stable system. While it spans SEO, content marketing, social media, and digital advertising, many programs have relied on a predictable core that didn’t always use every available channel. This gave digital marketers a sense of predictability and comfort. For years, teams stuck with what

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Google Says AI Creative Should Help Brands Differentiate, Not Blend In via @sejournal, @brookeosmundson

Google addressed growing concerns around repetitive AI-generated ads, advertiser controls, and how brands can maintain differentiation at scale. The post Google Says AI Creative Should Help Brands Differentiate, Not Blend In appeared first on Search Engine Journal.

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Microsoft: AI answers need a smarter search index

The search index is evolving from ranking pages to supporting AI-generated answers. In a blog post published today, Microsoft Bing explained why AI search needs a different indexing system than traditional web search. Traditional search vs. grounding systems. Microsoft said traditional search can rely on users to self-correct, while AI systems need stronger evidence because

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