Measuring LLM Domination
Chapter 13
Continued from Owning the Five Money Queries
Chapter 13 of 14 in LLM Mastery: How AI Recommends Brands for LLM Domination
Domination is measured as share of the answers that matter, tracked monthly, per model, against the log.
What does Chapter 13 argue?
Chapter 13 turns the book's goal into numbers: domination is the share of the answers that matter, measured monthly for each model against the answer log.
The chapter's scorecard tracks presence rate, position and framing, consensus rate, fan-out coverage and citation share, and citation share moves first, which makes it the early indicator. One onboarding question ties the metrics to revenue, whether the client checked with an AI tool before choosing, and results are reported as a trendline because, in the chapter's words, single answers are weather.
Chapter 13 is where the book defines presence rate, position and framing, fan-out coverage and citation share.
Presence rate
Presence rate. Across your money questions and models: how often are you named at all.
Presence rate is how often AI models name your brand at all, across your money questions and models.
Position and framing
Position and framing. When named, where and how: first mention or afterthought, flat recommendation or hedged inclusion, described in your canonical language or approximated from scraps.
Position and framing record where and how a brand is named: first mention or afterthought, flat recommendation or hedged inclusion, your own agreed wording or an approximation.
Fan-out coverage
Fan-out coverage. Of the fan-out terms harvested for your market, what share show you present when probed directly.
Fan-out coverage is the share of a market's harvested fan-out terms on which your brand appears when each is probed directly.
Citation share
Citation share. Of the sources the answers cite, how many carry you, accurately. This is the supply-side metric: it moves before presence moves, which makes it the early indicator that the campaign is landing.
Citation share is how many of the sources AI answers cite carry your brand, and carry it accurately.
Glossary entries for terms it uses: LLM domination, Consensus rate, Prompt bank, Fan-out queries and Cited sources.
What is in Chapter 13?
Chapter 13 works through six named parts:
- Presence rate.
- Position and framing.
- Consensus rate.
- Fan-out coverage.
- Citation share.
- The revenue thread
Which other chapters does Chapter 13 point to?
Chapter 13 sends the reader on to The Test Test Test Method (Chapter 5), Campaign Research: The Five Datasets That Decide GEO and AEO Strategy (Chapter 6) and AI Consensus: Make Every Model Agree on You (Chapter 4).
The measurement system is the prompt bank from Chapter 5 run at cadence, harvested for the five datasets from Chapter 6, and scored on the questions that connect to revenue.
Consensus rate. The Chapter 4 measure: across models, how often the answers agree on including you and describing you identically.
How does Chapter 13 close?
Chapter 13 closes on this line:
What gets measured gets dominated. An hour a month, five datasets, one trendline. Run it.
Chapter 14, The Domination Playbook, follows it.