Selection Intelligence Know when your brand enters the shortlist—and when it disappears.
Selection Intelligence is the evidence-based analysis of whether, where, and under what customer contexts a brand is discovered, understood, considered, and recommended across search and AI-mediated buying journeys.
- It moves beyond
- Were we mentioned?
- And answers
- Did we become a legitimate option for a commercially valuable need?
Beyond Visibility Visibility is only the first stage.
A brand can be:
Selection Intelligence measures those differences.
- Mentioned but represented inaccurately
- Cited but not recommended
- Recommended only for a low-value use case
- Strong for one customer cohort and absent for another
- Visible on one platform and unstable everywhere else
- Favored in a neutral test but removed after the customer adds important constraints
Context Panel Four controlled conditions, each answering a different question.
- 01
Neutral baseline
Controlled tests without meaningful customer history or supplied personalization.
Question answeredWhat happens under standardized conditions?
- 02
Cohort context
Tests that explicitly include relevant characteristics such as company size, use case, geography, budget, priorities, and constraints.
Question answeredWhich customer profiles cause the brand to enter or leave consideration?
- 03
Journey context
Multi-step research and comparison journeys that become more specific over time.
Question answeredDoes the brand survive as the customer moves from exploration to a shortlist?
- 04
Time and platform panel
Repeated tests across relevant search and AI experiences, dates, models, and locations.
Question answeredHow stable is the observed outcome?
What Hendricks Measures Eight observations, not one unexplained score.
- Observed visibility
- Did the brand appear?
- Brand understanding
- Was the company, product, service, location, or expertise represented accurately?
- Relevance
- Was the brand connected to the customer’s specific need?
- Consideration
- Was the brand treated as a legitimate candidate?
- Recommendation
- Was the brand explicitly favored, shortlisted, or presented as a preferred option?
- Citation and source patterns
- Which domains, pages, reviews, databases, publications, and owned properties appeared with the result?
- Competitor performance
- Which competitors won, under which contexts, and with what recurring evidence?
- Selection Stability
- How consistently did the outcome survive reasonable changes in wording, context, platform, location, and time?
Deliverables What a Selection Intelligence baseline produces.
- Selection Map
- Observed Consideration Rate
- Observed Recommendation Rate
- Selection Stability analysis
- Competitor Selection Matrix
- Source and Evidence Graph
- Brand accuracy report
- Topic and service association map
- Commercial Selection Gap
- Prioritized hypotheses for intervention
- Baseline dataset for future experiments
Metric Definitions Every Hendricks measure is defined before it is reported.
- Observed Consideration Rate
- The commercially weighted percentage of defined test contexts in which the brand is presented as a legitimate option.
- Observed Recommendation Rate
- The commercially weighted percentage of defined test contexts in which the brand is explicitly favored or recommended.
- Selection Stability
- The consistency of consideration or recommendation across reasonable variations in context, wording, platform, location, and time.
- Commercial Selection Gap
- The value-weighted difference between the client’s observed position and the relevant benchmark.
Keep Reading Related solutions and research.
- Search Presence EngineeringTurn the gaps a baseline reveals into prioritized implementation.
- Search Demand IntelligenceDefine which customer decisions the baseline should measure.
- MethodologyRead how contexts are designed, classified, and graded.
- What Is Selection Intelligence?The full definition, including what the term does not mean.
- The AI Selection ProblemWhy being seen no longer means being chosen.