How is Share of Model different from simple mention counting?

Mention counting tells you how many times your brand appeared. Share of Model normalises that count against the total opportunity set — all the prompts in your category, across all engines — to produce a percentage. This makes the metric comparable across time, across categories of different sizes, and across competitors. A brand with 50 mentions out of 200 possible has a 25% Share of Model, which is directly comparable to a competitor with 80 mentions out of 200.

Can I customise which prompts are included in the score?

Yes. The platform starts with an auto-generated prompt bank based on your category and competitive set, but you can add, remove, or re-weight individual prompts. Many users add prompts that map to their top revenue-driving keywords or prompts discovered through the Prompt Discovery feature.

How often does Share of Model change?

Share of Model can shift whenever AI engines update their models, change their retrieval sources, or re-index the web. In practice, most brands see gradual week-over-week movement with occasional step changes after major model updates. AEO Platform highlights these step changes with annotations so you can distinguish model-driven shifts from the effects of your own optimisation work.

Feature

detection

Share of Model Scoring

Quantify your brand's share of AI-generated recommendations and benchmark it against every competitor in your category.

Quick answer

Share of Model is the AI-era equivalent of Share of Voice. It measures the percentage of AI-generated responses in your category that mention or recommend your brand. If ten prompts about "best project management software" are sent to ChatGPT and your brand appears in seven of the responses, your Share of Model for that engine and category is 70%.

How it works

Share of Model Scoring in detail

The platform runs your full query bank against each supported AI engine on every monitoring cycle. For each response it determines whether your brand is mentioned, in what position, and alongside which competitors. The raw mention counts are then normalised into a percentage score per engine and per query family.

Scores are weighted by prompt relevance. A high-intent commercial prompt like "which CRM should I buy for a 50-person sales team" carries more weight than a generic informational prompt. You can customise weighting profiles to match your business priorities — for example, up-weighting prompts that align with your highest-revenue product lines.

Historical scores are stored and displayed as trend lines so you can correlate changes with specific actions: publishing a new comparison page, updating structured data, or a competitor launching a new product. Benchmark overlays let you compare your trajectory against the category average and against individual competitors.

Benefits

Why Share of Model Scoring matters

Reduce AI visibility to a single, trackable metric that executives understand

Benchmark your score against named competitors and category averages

Weight scoring by prompt intent to focus on queries that drive revenue

Correlate score changes with content actions to measure ROI

Export scores to PDF reports and live dashboards for stakeholder communication

Use cases

When to use Share of Model Scoring

A head of growth reports monthly Share of Model trends to the C-suite alongside traditional SEO metrics.

A content strategist identifies prompt families where the brand's Share of Model is below 20% and prioritises new content.

An agency benchmarks Share of Model across five client brands in the same vertical to identify common gaps.

FAQ

Share of Model Scoring FAQ

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Share of Model Scoring

Share of Model Scoring in detail

Why Share of Model Scoring matters

When to use Share of Model Scoring

Share of Model Scoring FAQ

Key concepts

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