AI in search and marketing
Articles about what generative AI has genuinely changed in our work, and what it has not. The short version: it changed how informational queries end, it made mediocre content free to produce and therefore worthless, and it has not changed how a business earns trust.
We try to separate what we have measured from what the industry is asserting. Where a claim here rests on one small sample, we say so in the article rather than in a footnote.
Start with the SEO checklist for how AI Overviews affect click-through page by page, then content marketing after AI answers for what to publish when the summary is free.
Advanced SEO for 2026: entities, internal links and AI citations
Once the technical basics are in place the work stops being a checklist. This is what we do next on accounts where the obvious fixes are already made.
SEO best practices for 2026: the checklist we run first
Every audit we start opens with the same eight checks, in the same order. They take a day, cost only attention, and find more revenue than a content plan.
Data-driven CRO when you only get 400 sessions a week
Split testing needs traffic most of our clients do not have. This is the conversion work that still holds up when significance is a year away.
Content marketing in 2026: what changed when AI answers arrived
The honest position after two years of AI answers: informational traffic fell, decision content held, and publishing more was the wrong response to both.
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