Platform
Brands & Competitors
Define the brands, competitors and categories that every Findable analysis runs against.
See it inside Findable
A live look at Brands & Competitors — your declared entities and how AI compares them.
What it is
Brands and Competitors is the workspace where you define the entities Findable monitors. You declare your brand, your competitor set, the categories you operate in, and the adjacencies that matter — so every later analysis runs against the right market.
Why it matters for AI search
AI search is an entity competition. Every score, every recommendation, every gap is meaningful only against the brands AI considers your peers. Defining that set explicitly is the difference between insight and noise.
The shift
"AI markets are defined by entities, not keywords."
How Findable helps
Findable lets you organize brands and competitors into categories, mark direct and adjacent rivals, and run every module — visibility, sources, content, authority — against that explicit market definition.
From AI answers to decisions
Every later analysis runs against the entity set you declare here.
- 1Create brandsDeclare your brand and its identity.
- 2Add competitorsAdd direct and adjacent competitors.
- 3Organize categoriesGroup entities into categories.
- 4Monitor marketsMonitor markets with the right peer set.
Key capabilities
Competitor management
Brands and Competitors is the workspace where you define the entities Findable monitors. You declare your brand, your competitor set, the categories you operate in, and the adjacencies that matter — so every later analysis runs against the right market.
Category organization
AI search is an entity competition. Every score, every recommendation, every gap is meaningful only against the brands AI considers your peers. Defining that set explicitly is the difference between insight and noise.
What this allows teams to do
- •Define competitors implicitly
- •Compare against the wrong peer set
- •Confuse adjacent and direct rivals
- •Lose entities to alias drift
- •Declare brands, competitors and categories explicitly
- •Run every metric against your real market
- •Mark adjacency separately from direct competition
- •Normalize every entity with alias handling
What teams find
Anonymous examples from real Findable workspaces.
One SaaS team realized their declared competitor set was missing the brand AI mentioned most in their category.
One D2C brand split direct and adjacent rivals and stopped chasing the wrong benchmark.
One B2B team normalized 23 brand aliases and recovered metrics that were silently fragmented.
What you can see inside Findable
- Your brand profile
- Direct competitor list
- Adjacent entities
- Category groupings
- Per-entity visibility
- Per-entity authority
- Market-wide comparisons
Methodology
Entities are normalized to canonical names with alias handling. Categories and adjacencies drive which prompts, sources and competitors a brand is measured against — so every metric reflects a real, declared market.
Brand and competitor sets are maintained by combining user-defined entities with AI-detected entities across the supported AI systems, prompts, citations, and industry baselines.
Examples of brand & competitor analysis
Illustrative scenarios showing how teams manage their tracked brand and competitor set.
- •A retailer maintains a tracked set including Nike, Adidas, Decathlon, and two regional rivals AI surfaced unexpectedly.
- •An EHR vendor curates a list of named procurement rivals plus emerging entrants seen in AI answers.
- •A fashion brand keeps Everlane, Reformation, and Patagonia in its competitor set to mirror AI-perceived peers.
How AI engines evaluate brand and competitor sets
AI engines treat brands and competitors as entities.
- Entity recognitionHow clearly each brand is identified as a distinct entity.
- Co-occurrenceHow often brands appear together in the same answer.
- Recommendation overlapHow often they are recommended on the same prompts.
- Citation overlapHow often shared sources cite both.
- Category alignmentWhether they share the same category embedding.
- Intent similarityWhether they answer the same buyer intent.
Findable surfaces these signals so the tracked set reflects who AI engines actually consider comparable.
Related concepts
Foundational terms used across this capability.
Related platform areas
- CompetitorsSee which brands AI recommends instead of you and why they win visibility across prompts, engines, and sources.
- Market CoverageSee which buyer questions, topics, and decision spaces your brand owns, misses, or loses to competitors.
- Prompt ManagerThe full library of prompts Findable runs against AI engines — organized, scored and editable.
Learn more
Deeper guides on the concepts behind this capability.
Tracked sets differ by industry.
Teams using this capability
Anonymized examples of how teams in different industries apply this capability.
- RetailA retail team adds regional rivals AI engines surface unprompted.
- Healthcare SaaSA healthcare-SaaS team monitors procurement-relevant competitors.
- Consumer brandsA consumer-brand team mirrors the peers AI ties to its values.
- Business advisoryA business-advisory team tracks niche specialists by topic.
Compare AI visibility platforms
Side-by-side comparisons with other AI visibility and SEO tools.
Related industry research
External references on AI search and generative answer engines.
External links open in a new tab.
Frequently asked questions
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