Executive summary
Share of model is the proportion of relevant AI answers in which your brand is named or recommended. Growing it is a portfolio exercise: define the question set that matters, measure your baseline presence, then improve retrievability, corroboration and entity strength question by question. It rewards breadth of trustworthy coverage rather than one hero page.
What this helps you decide
Where to focus GEO effort to raise your share of relevant AI answers.
Business problem
AI answers name a small set of brands per question, and if competitors own those slots you lose the recommendation at the point of decision. You need a systematic way to grow the share of relevant answers that feature you.
Step-by-step process
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1
Define the answer universe
List the buyer and category questions where being recommended matters. This bounded set becomes the denominator for your share-of-model measurement.
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2
Baseline your current share
Run each question across the AI engines you care about and record whether you are named, recommended or absent. The pattern reveals where you already win and where competitors own the answer.
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3
Diagnose the gaps
For each miss, identify the cause: not retrievable, no corroboration, weak entity, or no page answering it. Different causes need different fixes, so classify before acting.
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4
Strengthen corroboration on weak questions
For questions where rivals are named and you are not, pursue independent mentions, listings and reviews so the model sees your claim confirmed elsewhere.
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5
Fill coverage gaps
Where no page answers a relevant question well, create a focused, answer-first page and link it into your topic cluster so the model has a source to cite.
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6
Reinforce your entity
Keep brand naming, About page, schema and sameAs signals consistent so the model reliably resolves you as the same trusted entity across every question.
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7
Re-measure and reallocate
Recheck the full question set on a regular cadence, track share-of-model as a trend, and move effort to the questions with the most upside.
Worked example
Checklist
- A bounded set of relevant questions is defined
- Baseline presence recorded per question and engine
- Each miss is classified by root cause
- Corroboration pursued on competitor-owned questions
- Share of model re-measured on a set cadence
Common mistakes
- Optimising one hero page instead of a portfolio of questions
- Measuring rankings instead of actual answer presence
- Fixing symptoms without classifying why each answer excludes you
30-minute experiment
KPIs to track
- Share of model across the defined question set
- Number of questions where you are recommended, not just mentioned
FAQs
How is share of model different from citation count?
Citation count is raw volume; share of model is presence as a proportion of the answers that matter, which normalises for topic size and makes progress comparable over time.
How many questions should I track?
Enough to represent your category's decision journey, often a few dozen. Too few is noisy; too many dilutes focus. Prioritise questions tied to revenue.
Recommended next steps
Where this fits - and what's next
The SearchScore path from a problem you feel to visibility you can measure.