AI Research
Jun 24, 2026
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2 min read
A vector database is the index layer of AI search, which turns clean chunking from a content nicety into a technical SEO concern.
Being retrieved is necessary but not sufficient: the generator runs a second contest that decides which chunks get cited and which get dropped.
The retriever is the first filter in AI search, and it runs before the model writes a single word.
May 12, 2026
Generative AI fundamentally shifts how users interact with search results and where your traffic comes from.
Behavior
Understanding first-click behavior helps you recognize that your content's value is no longer tied primarily to generating clicks.
Entity scoring turns that blind spot into a trackable number you can monitor month over month and use to make evidence-based decisions about content investments.
SEO
As AI search cuts organic clicks and traditional traffic metrics decline, the authority you build through digital PR becomes even more valuable.
Foundations
May 4, 2026
The data corpus shapes which answers users see and which brands get visibility.
You need crawl log files to identify where Google gets stuck and which page types actually perform well, especially if you have a large site.
Brand prominence predicts your visibility in both traditional search and AI chatbots.