The ECHO Framework

Chapter 9 of 11 · Part 5: Output

Share of Answer: Measuring Whether It's Working

Share of Answer is ECHO's proposed output metric: the percentage of target queries where your brand appears in AI-generated answers.

What does chapter 9 cover?

Share of Answer is ECHO's proposed output metric: the percentage of target queries where your brand appears in AI-generated answers.

The book closes every chapter with a summary box. This is chapter 9's, in full and in the book's own words.

  • Share of Answer is ECHO's proposed output metric: the percentage of target queries where your brand appears in AI-generated answers.
  • Track per-platform (Google AI Overview, ChatGPT, Perplexity) for a granular view, and aggregate for the headline number.
  • Manual tracking works for now; automated tools are maturing. Consistency matters more than sophistication.
  • Benchmark against competitors and present alongside Share of Voice for a complete visibility picture.
  • Report with three layers: headline number, qualitative reality, and ECHO-pillar-linked action plan.

How does chapter 9 open?

Share of Answer is ECHO's proposed output metric. It is not yet an industrystandard term with a universally agreed calculation, and being transparent about that is important, because one of the principles of this book is to distinguish between evidence and framework. Share of Answer is a framework metric, proposed because the existing standard, Share of Voice, does not capture what matters in an AI-answer landscape.

The opening paragraph of the chapter, quoted from the book.

What is in chapter 9?

Chapter 9 runs to 4 sections, starting on page 57.

  • 1Defining and Calculating Share of Answer
  • 2Manual Tracking vs. Automated AI Visibility Tools
  • 3Benchmarking Against Competitors
  • 4Reporting AI Visibility to Stakeholders

Where does chapter 9 sit in ECHO?

Chapter 9 builds the Output pillar, the 4th of ECHO's four. Can you tell whether any of it is working?

Chapter
9 of 11
Part
5: Output
Pillar
Output
Starts on page
57
Sections
4

Next: chapter 10

Turning AI Visibility Into Real Business Results