Key Metric · Recommendation Intelligence Layer

Recommendation Share.

The percentage of buyer decisions where AI recommends your brand.

Category Key MetricScale 0 to 100%Related Recommendation Confidence
100 Buyer Prompts
18%
Recommendation Share
Every orange square is a buyer prompt where AI recommended your brand.
One Prompt At A Time

AI does not recommend brands equally.

Recommendation Share is not one measurement, it is a hundred small ones. Here is what two of those hundred buyer prompts actually look like.

Buyer asks
"Best office chair"
✓ Herman Miller
✓ Steelcase
✓ Branch
✗ You: not mentioned
Buyer asks
"Best ergonomic chair"
✓ You
✓ Herman Miller
✓ Steelcase
100 prompts tested · 18 mentions
Recommendation Share 18%
The Shift

Recommendation Share is the new market share.

This is not the same metric wearing a new name. Search-era visibility and AI-era visibility are measured, won, and optimized differently.

Search Era
What you tracked
Keyword position #3
How visibility worked
10 results per page
Who decided
Human clicked
What you optimized
Keywords and backlinks
AI Era
What you track
Recommendation Share %
How visibility works
2 to 3 recommendations
Who decides
AI recommends
What you optimize
Trust, clarity, intent match
The Recommendation Market

100 buyer decisions. One market.

Recommendation Share is not measured in isolation. Every buyer decision AI makes goes to somebody. This is what the full market looks like for one category.

100 Buyer Decisions
Your Brand · 18%
Competitor A · 34%
Competitor B · 22%
Competitor C · 11%
Others · 15%
Where You Appear

Every gray square is lost revenue.

Recommendation Share is not uniform across your category. Some buyer intents already recommend you. Most do not yet. Hover or tap a card for the prompt behind it.

Protein
"Best protein for runners"
Recommended: YES
Creatine
"Best creatine for beginners"
Recommended: NO
Women
"Best supplements for women"
Recommended: YES
Vegan
"Best vegan protein powder"
Recommended: NO
Cheap
"Cheapest protein powder that works"
Recommended: NO
Recovery
"Best recovery supplement"
Recommended: YES
Subscription
"Best supplement subscription"
Recommended: NO
Gym
"Best pre-workout for the gym"
Recommended: YES
82
Buyer prompts never mention your brand
Those buyers never had the chance to choose you.
Recommendation Position

Not just if. Also where.

Of the 18 prompts where AI recommends your brand, position still varies widely. Being the first recommendation converts very differently from being a passing mention.

1st
3
2nd
5
3rd
6
Mention
4
18%
Recommendation Share
2.6
Average Position
Build Recommendation Share

Nothing here is measured directly.

Recommendation Share is an output, not an input. It is downstream of four things AI checks first.

AI Commerce Score
AI Trust Graph
Semantic Clarity
Buyer Intent Match
Recommendation Share
Live Example

What to go fix next.

18
You
82
Competitors
Top missing prompts
Best standing desk★★★★★
Best ergonomic chair★★★★★
Best office setup★★★★☆
Recommendation Velocity

The direction matters more than the number.

A single Recommendation Share measurement is a snapshot. Tracking it monthly turns it into a trend line, and the trend line is what tells you whether your AI Commerce work is actually paying off.

12%
Jan
15%
Feb
17%
Mar
18%
Apr
24%
May
The Recommendation Universe

Your brand, surrounded by every intent it could serve.

Each dot is one buyer intent your category gets asked about. Orange means AI already recommends you there. Gray means it does not, yet.

YOUR BRAND
●Protein
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18%
Recommendation Share
23
Visible Intent Clusters
77
Missing Clusters
FAQ

Questions about Recommendation Share

What is Recommendation Share?
Recommendation Share is the percentage of high-intent buying prompts relevant to a brand's niche in which that brand appears in AI recommendations. If your brand appears in 18 out of 100 tested buyer prompts, your Recommendation Share is 18 percent. It is the AI-era equivalent of search market share.
How is Recommendation Share different from keyword rankings?
Keyword rankings measure where you appear in Google search results for specific queries. Recommendation Share measures whether you appear in AI recommendations when buyers ask conversational shopping questions. AI returns two to three recommendations, not ten pages of results. The stakes are higher and the metric is more directly tied to revenue.
How do I measure my Recommendation Share?
Build a set of 50 to 100 buyer prompts for your niche covering purchase-intent queries, comparison queries, discovery queries, and problem-solving queries. Submit each to ChatGPT, Perplexity, and Google AI Mode. Record which prompts your brand appears in. Divide appearances by total prompts to get your Recommendation Share percentage.
Is Recommendation Share the same as Recommendation Position?
No. Recommendation Share measures how often your brand appears across buyer prompts. Recommendation Position measures where in the response you appear when you do appear. A brand with high Recommendation Share but always as a weak citation converts differently from a brand with lower share but consistent first-recommendation positioning. Both metrics matter.
What is Recommendation Velocity?
Recommendation Velocity is the rate of change in your Recommendation Share over time. A brand moving from 12 percent in January to 24 percent in May is gaining roughly 3 percentage points per month. Positive velocity confirms your AI Commerce improvements are working. Tracking velocity over time is more valuable than any single measurement.
What is a good Recommendation Share score?
In most niches, the top two or three brands capture 60 to 80 percent of AI Recommendation Share combined. A new brand might start at 5 to 15 percent. A well-optimized mid-size DTC brand typically reaches 20 to 35 percent with focused effort. Category leaders in some niches exceed 50 percent.

Find out where AI recommends you.

Not another AI Commerce Score. Your actual market share.

Get a free AI Commerce Score first, it predicts your Recommendation Share. Then see the full prompt-by-prompt breakdown.

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Related terms
Recommendation ConfidenceRanking quality, once you appear Recommendation DensityHow far your presence extends Recommendation GraphThe full network behind the number AI Recommendation EligibilityThe gate before any share is possible Recommendation Eligibility ScoreHow close you are to that gate AI Commerce ScoreThe inputs behind your share