Definition
What this term means
The rate at which AI systems actively suggest or recommend a brand in response to category-relevant queries, measured as a percentage of tested prompts that include a positive recommendation. Recommendation frequency goes beyond mere mention. It specifically tracks instances where the AI positions your brand as a suggested or preferred option, as opposed to simply acknowledging your existence.
Why it matters
The business impact
Being mentioned by AI is valuable; being recommended is significantly more so. Recommendation frequency is the metric that most directly correlates with AI-driven business outcomes. When an AI assistant tells a user 'I would recommend Brand X for your needs', the conversion impact is substantially higher than a passing mention. Tracking recommendation frequency versus competitors reveals your true competitive position in AI-driven discovery.
Used in context
How you might use this term
“A SaaS company tracked recommendation frequency across three AI platforms for 50 category queries. They started at 12% (recommended in 6 of 50 queries). After a focused AIRO programme, strengthening entity associations, building authority content, and improving structured data, recommendation frequency rose to 38%, directly correlating with a 25% increase in inbound demo requests.”
Related terms
Explore connected concepts
Share of Model
The percentage of AI-generated recommendations within a specific category or query set that mention your brand compared to competitors. Share of Model is the AI-era equivalent of 'share of voice'. It quantifies how much of the AI recommendation landscape your brand occupies and tracks whether you are gaining or losing ground over time.
AI Visibility Score
A composite metric that quantifies how visible, accurate, and favourably positioned a brand is across AI-generated responses. The AI visibility score typically combines multiple factors, including citation frequency, recommendation position, accuracy of brand description, sentiment, and share of model, into a single trackable number that can be monitored over time and benchmarked against competitors.
AIRO
A strategic discipline focused on improving how AI systems recommend, summarise, and rank a brand across generative search platforms. Unlike traditional SEO, which targets search engine rankings, AIRO works to influence the way large language models and AI assistants perceive your brand, shaping what they say about you, when they mention you, and how confidently they recommend you to users.