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The hardest part of an SEO test is knowing what caused the result. Choose comparisons and metrics that make your findings easier to defend.
Technical SEO testing: How to build a stronger experiment Read More »
High-DR links, paid mentions, and link exchanges can look authoritative without giving AI systems enough credibility to recommend your brand.
Why the traditional link building model no longer works for AI search Read More »
ChatGPT Ads work differently from other ad platforms. Here’s what early campaigns reveal about CPCs, targeting, measurement, and performance.
How to run ChatGPT ads: A step-by-step guide from early campaigns Read More »
AI, Google, Reddit, YouTube, and brand sites help resolve different kinds of uncertainty. Here’s what that means for your search strategy.
How customers build confidence across the search journey Read More »
See how three AI models responded as business context became progressively richer for the same strategic challenge.
How business context changes AI recommendations Read More »
SEO, PR, analyst relations, and publishers are solving the same AI measurement problem from different angles. Here’s what they agree on.
What six perspectives reveal about demand generation in AI search Read More »
Customers don’t search in the controlled environment your SEO tools measure. That gap changes how you should interpret rankings.
Your rankings aren’t telling you what your customers see Read More »
Publishers demanding citations and traffic from AI platforms should give the same credit to the data, research, and reporting they use.
You can’t demand the click if you won’t give the link Read More »
Search can only capture existing demand. Learn why YouTube helps create future buyers, making search campaigns more efficient over time.
The demand capture trap that’s making search more expensive Read More »
Most trends fade. Some become entirely new markets. The difference is visible in search data if you know where to look.
How to spot an emerging category in search data Read More »