Every recommendation you don't get goes somewhere else.
The measurable difference between a brand's current Recommendation Share and the share held by the category leader.
Category Key MetricScale 0 to 100 pointsLayer Recommendation Intelligence
Leader
61
You
14
Others
25
Recommendation Gap
47%
100 buyer questions tested. This is where every one of them went.
What Is It
Not a score. Missing market share.
The Recommendation Gap is the quantified difference between a brand's current AI Recommendation Share and the share held by the top competitor in its category. It represents the revenue opportunity available through AI Commerce optimization. A large Recommendation Gap means significant revenue is flowing to competitors through AI recommendation channels.
Why AI Cares
The Recommendation Gap translates AI visibility data into commercial stakes. A brand with 12 percent Recommendation Share competing against a category leader at 67 percent has a 55-point gap. Every point of gap is estimated revenue flowing to a competitor through AI channels.
Example
A protein supplement brand appears in 14 percent of relevant buyer prompts. The category leader appears in 61 percent. The Recommendation Gap is 47 points. Closing it is the commercial case for AI Commerce optimization investment.
Section 1
Recommendation Gap is not a score. It's missing market share.
Not a percentage sitting on a dashboard. A simple funnel of the same 100 buyer prompts, narrowed down to what actually happened.
100 buyer prompts
Leader · 61
You · 14
Gap · 47
Section 2
Where did those buyers go?
Every prompt in the gap is not an abstraction. It is a real buyer, asking a real question, walking away with someone else's product.
Buyer asks
"Best protein powder"
AI
▼
Leader ✓
▼
Purchase
Buyer asks
"Best protein powder"
AI
▼
You ✗
▼
Never mentioned
47
missed opportunities, one buyer prompt at a time
Section 3
The Gap is made of prompts.
Not percentages. Specific questions buyers actually ask, that your brand does or does not show up for.
✓Best whey isolate
✓Best vegan protein
✓Protein for women
✓Cheap protein
✓Muscle recovery
✓Marathon nutrition
✓High protein breakfast
✓Travel protein
14
You appear
86
Missing
The Gap is not a number. It is a list of real buyer questions still waiting for an answer from you.
Section 4
Close the gap.
Not a chart. Progress. Every step closer to the leader is less red and more orange.
14%
Today
28%
Month 2
39%
Month 4
52%
Month 6
61%
Month 9
Section 5
Where is the gap?
The 47-point gap is not evenly spread. Some sub-categories are nearly closed. Others are wide open, and that is exactly what an audit surfaces.
Whey Isolate
56
Vegan Protein
16
Marathon Nutrition
60
Muscle Recovery
4
Travel Protein
40
Section 6
Gap vs Opportunity.
Two stores. Same 48-point gap. Completely different situation.
Store A
48
▲ Growing
Store B
48
▼ Shrinking
Section 7
Revenue is escaping.
100 AI buyers asked. 61 chose the leader. 14 chose you. The rest did not choose you either, and they did not stay put.
100 AI Buyers
prompt
prompt
prompt
prompt
prompt
prompt
prompt
prompt
prompt
prompt
61
Leader
14
You
47
Revenue left the building
Section 8
Gap across buyer intents.
The overall 47-point gap hides very different stories by intent. Darker cells are where the gap runs deepest.
Premium
14%
Budget
2%
Organic
41%
Women
8%
Athletes
33%
Beginners
5%
Section 9
Why the gap exists.
The Recommendation Gap is a symptom. Hover through the causes underneath it.
The visible symptom. 47 points of missing market share.
AI cannot verify claims it cannot check. Unverified reviews, no third-party validation.
Products exist without structured data. AI cannot parse what it cannot read cleanly.
Buyer language and store language do not overlap. AI cannot connect the two.
Even when found, the brand is not framed as the answer to a specific buyer question.
AI has enough signal to notice the brand, not enough to recommend it first.
Section 10
Gap is dynamic.
Not a fixed number. It moves, and it can be watched moving.
61
The Leaderboard
Recommendation Gap isn't what you have. It's what your competitors own.
One visualization, the whole idea. No gauge, no donut chart, no single number pretending to be a KPI. This is a lost market, not a dashboard metric.
Leader
61%
You
14%
Gap
47%
100 Buyer Questions
Leader · 61
You · 14
Recommendation Gap · 47
Recommendation Gap is not a number. It's the amount of customers someone else is winning today.
FAQ
Questions about Recommendation Gap
What is the Recommendation Gap?
The Recommendation Gap is the quantified difference between a brand's current AI Recommendation Share and the share held by the top competitor in its category. A brand at 14 percent competing against a leader at 61 percent has a 47-point gap.
Is the Recommendation Gap the same as Recommendation Share?
No. Recommendation Share is your own number, the percentage of buyer prompts where you appear. The Recommendation Gap is a comparison, the distance between your number and the category leader's number. Share tells you where you stand. Gap tells you what is actually at stake.
Why does the Recommendation Gap matter more than a percentage?
A percentage is abstract. A gap is a market. Every point of gap represents buyer prompts where AI is recommending a competitor instead of you, which is estimated revenue moving through AI channels to someone else.
Can the Recommendation Gap shrink without your share changing?
Yes. The gap is relative. If a competitor's share drops while yours holds steady, the gap narrows even though nothing changed on your end. This is why gap should always be tracked alongside your own Recommendation Share, not instead of it.
How is the Recommendation Gap closed?
By closing the causes behind it, not the number itself: stronger trust signals, complete schema markup, tighter intent match between buyer language and product language, clearer positioning, and higher recommendation confidence. The gap moves as an effect of those, not a direct lever.
Find out your Recommendation Gap.
Not another AI Commerce Score. The exact size of the market you're missing.
Get a free AI Commerce Score first, it predicts your Recommendation Share. Then see the gap against your category leader, prompt by prompt.
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