AI Research
Sep 7, 2026
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2 min read
LLM experience gain flips the question: What can an LLM do for the person already on your page?
1 min read
A model that leads this quarter can slip in the next, so the choice is rarely permanent.
Foundations
You can't optimize the model itself; the leverage is what an LLM retrieves and cites at query time, not what it already knows.
SEO
The bulk of search demand is spread across countless specific queries, not a handful of head terms.
For a growth team, microagents 10x repetitive work without waiting for one do-everything tool.
Most negative SEO fails because Google weighs negative signals with thresholds, so only sustained, high-volume attacks move rankings.
NLP is the technology that decides whether a machine understands what your page is about, and it can still get it wrong.
Third-party signals carry a large share of brand visibility, especially in AI answers that weigh what other sources say about you.
LLM prompts are longer and more specific than keywords, so relevance is judged against a hyperspecific query, often at the passage level.
Query share turns an abstract claim about topical authority into a number you can track and benchmark against competitors.