Insights

Field notes from the
intelligence era.

Practical thinking on Intelligence Engine Optimization, how AI systems decide what to recommend, and what brands can do about it. New pieces published as the framework evolves.

All Strategy Entity Content Authority Technical
Entity

Why AI recommends your competitor instead of you

It's rarely about product quality. When a model isn't confident about who you are, it falls back on the brands it recognizes clearly. We walk through how AI builds its picture of a company from Wikidata, schema, and consistent references across the web, and the concrete steps to become an entity AI can name without hesitation.

6 min readRead →
Content

Answer-first content: writing for extraction, not ranking

AI retrieves passages, not pages. Content that buries the answer under three paragraphs of preamble gets skipped. Here's how to restructure existing pages into the answer-first, schema-backed format that models lift directly into responses, with before-and-after examples of the same page rewritten for citation.

7 min readRead →
Technical

llms.txt, robots.txt, and the crawlers you're accidentally blocking

Many brands unknowingly block GPTBot, ClaudeBot, or PerplexityBot, making their best content invisible to AI. This is the fastest, cheapest win in IEO. A practical checklist for auditing crawler access, deploying an llms.txt file, and confirming AI systems can actually read what you publish.

5 min readRead →
Authority

The trust gap: from "mentioned" to "recommended"

Getting named once is recognition. Being the brand AI actively recommends is authority, and it's built on third-party credibility signals, not homepage claims. We cover the authority sources models weight most, why original research outperforms opinion, and how to earn citations from the domains AI already trusts.

9 min readRead →
Strategy

The 90-day IEO plan for brands starting from zero

You don't fix all five pillars at once. This is the sequencing that gets results fastest: accessibility and entity first for quick wins, then content, then the slow compounding work of authority and distribution. A week-by-week view of what to ship, in what order, and why impact beats effort.

10 min readRead →
Strategy

How to measure AI visibility when there's no rank to track

You can't manage what you can't measure, but AI visibility doesn't show up in your rank tracker. We define the metrics that actually matter in the intelligence era: citation rate, share of answer, branded search lift, and LLM-attributed traffic, and how to benchmark each one against your competitors.

7 min readRead →
More insights on the way.

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