Do the two discovery surfaces agree, and what is the gap costing?
Traditional search and AI-mediated discovery are separate commercial assets that fail independently. This category measures each, classifies every gap between them, and prices what closing the gap is worth.
- 0 live in demo
- 12 in platform
- 2 engines underneath
Every module answers one question.
Each returns the evidence behind its answer, what that answer means commercially, and what should change as a result.
- 01In platform
Where does the business actually rank for the keywords that drive a buying decision?
Position tracked against real commercial keywords, not vanity terms nobody searches when they are close to choosing.
Google position - 02In platform
When AI engines answer the same buying questions, is the business named?
The second discovery surface, measured on its own terms rather than assumed to follow wherever Google leads.
AI recommendation presence - 03In platform
Where the two surfaces disagree, what kind of gap is it?
A structural gap and a recoverable one look identical from the outside. Only one of them is worth spending on.
Gap classification - 04In platform
Of the visibility currently being lost, how much can realistically be won back?
Not every gap closes with effort. This separates the ones that will from the ones that will not, before budget is committed.
Recoverable search value - 05In platform
How much of current visibility is rented rather than owned?
Visibility that disappears the moment spend stops is a different asset, and a different risk, from visibility that compounds.
Paid dependency - 06In platform
When Google surfaces an AI Overview or featured snippet, does it draw from the business?
The position above position one, increasingly where the decision is actually made before a click ever happens.
Featured result capture - 07In platform
Is visibility coming from people who already know the name, or from people discovering it?
A business that only ranks on its own name is not being found, it is being confirmed. The two require completely different work.
Branded vs non-branded split - 08In platform
Where the decision is local, does the business appear in the map pack and in local AI answers?
Local buying questions resolve differently to global ones, and are measured separately here rather than assumed to follow the same pattern.
Local presence - 09In platform
Is the business ranking for the questions buyers actually ask, or for adjacent terms that never convert?
Rank tracking without intent classification counts a lot of irrelevant wins.
Query intent alignment - 10In platform
How stable is the current position, and is it trending up or down?
A ranking captured once tells you where things stand. Tracked over time it tells you whether to act now or later.
SERP volatility - 11In platform
When a buying question is asked conversationally rather than as a keyword, does the business still surface?
Search behaviour is shifting toward full questions. Keyword-shaped visibility does not automatically transfer.
Conversational coverage - 12In platform
Does the business say the same thing about itself on indexed pages as AI engines have learned from elsewhere?
Disagreement between what a business publishes and what machines have concluded independently erodes both surfaces at once.
Cross-surface consistency
Take one question, or take the whole category.
Each purchase states what it examines, what it needs from you, how confident it can be and how it is delivered. No sales call is required to find any of that out.
- Snapshot
Search Visibility Scan
Where does the business actually stand across Google and AI search for its core buying keywords?
- Google + 6 AI engines
- 20 keywords
- gap classification
- Advanced
Search Gap Diagnostic
Which specific gaps between Google and AI are costing the most, and which are recoverable?
- Google + 6 AI engines
- 20 keywords
- recoverable-value modelling
2 engines produce this category.
Engines are the machinery, not the offer. Nothing above required you to know one existed.
- In platformAI Search Presence
Is the business present when customers ask AI whom to choose?
- In platformSearch Economics
When does paid search become structurally inefficient?