Omni Impact

Field notes

Notes from building an answer-engine instrument

Product updates, engineering, and the story behind Omni Impact.

Latest

11 articles

AI Systems 14 min read

Your Next Website Visitor May Be an AI Agent. Can It Finish the Task?

Being readable is only the first gate. Agent-ready sites make important tasks understandable, operable, verifiable, and safe for humans and automated assistants.

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Commerce 15 min read

AI Shopping Runs on Product Data, Not Product Copy Alone

AI shopping systems need current price, availability, variants, policies, and identifiers. A practical data-readiness guide for ecommerce teams.

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Technical 12 min read

llms.txt Is a Map, Not a Magic Wand

The proposed llms.txt format can help agents find concise, useful content. It is not a ranking directive, an access-control file, or a substitute for crawlable pages.

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AI Systems 14 min read

Training Data, RAG, and Live Search: Where AI Answers Actually Come From

An AI answer can draw on model memory, retrieved documents, live web search, and tools. Knowing which path supplied the fact changes what you can optimize.

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Measurement 15 min read

How to Measure AI Visibility Without Fooling Yourself

One prompt and one answer are not a benchmark. Build a repeatable AI visibility program with clean prompts, explicit metrics, controlled comparisons, and honest denominators.

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Archive

Topics

What we keep coming back to.

  • AEO 9
  • AI Search 3
  • AI Visibility 3
  • AI 2
  • Crawlability 2
  • Measurement 2
  • SEO 2
  • Technical SEO 2
  • Accessibility 1
  • AI Agents 1
  • AI Crawlers 1
  • AI Shopping 1
  • Analytics 1
  • Citations 1
  • Ecommerce 1
  • Hospitality 1
  • llms.txt 1
  • Local AEO 1
  • Product Data 1
  • Prompt Tracking 1
  • RAG 1
  • Restaurants 1
  • Retrieval 1
  • Schema 1
  • Structured Data 1
  • Technical Content 1
  • Web Design 1

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