Brand
Does the model know the manufacturer and its broad category?
AI Visibility for product companies
Make sure the right product appears for the right buyer question.
We examine which products AI recommends, whether it understands their use cases correctly and which data it relies on when comparing alternatives.
We start with one category or product family — not an entire catalogue.
Product analysis
Brand, category and specific product
Buyer question
„Which CRM should a B2B sales team of up to 50 people choose?”
1Brand and product visibility
2Fit for the use case
3Attributes referenced by the model
4Data freshness and sources
The result relates to a defined sample and date, not a universal product ranking.
„Which product fits this specific use case?”
„Product A or B for this budget?”
„What are the alternatives to product X?”
Four levels
Brand visibility is not the same as visibility for a specific product.
We assess the brand, category, product family and selected product separately.
Category
Does the brand appear among the options being considered?
Product family
Does AI understand the differences between variants?
Product
Does the specific product fit the need and constraints?
Product information
A recommendation needs complete and current information.
use case and limitations
specifications and parameters
price or budget range
availability
comparisons and alternatives
reviews and independent sources
Who it is for
One method for different product sales models.
E-commerce and DTC
Selecting the right product, variant and budget.
Manufacturers and premium products
Use case, specifications and the rationale for value.
B2B and technology products
Features, integrations, compatibility and risk.
Important:We do not publish a ranking of the best products. We show observed visibility in a defined sample.
Question types
A product can be omitted at several stages of comparison.
discovering a category and available options
matching a product to a use case, industry or role
comparing features, specifications and limits
fit for budget and scale
alternatives to a known product
checking compatibility, integrations and risk
Process
From catalogue and use cases to comparable measurement.
Intent map
Coverage across the buying decision
Active system structure
CohortQuestionCoded criteria
1Option discovery
Which solutions are worth considering?
category · alternatives
2Shortlist building
Which provider or product fits this use case?
segment · specialisation
3Comparison
Option A or B against these criteria?
differences · limitations
4Fit
What works at this scale and budget?
use case · budget
5Trust
Which option has the right experience?
evidence · sources
1. Product scope
We select the family, variants, use cases and information that must stay current.
2. Buyer questions
We build a sample around uses, criteria, budgets and alternatives.
3. Benchmark
We compare brands, products, recommendation logic and the data being used.
4. Change plan
We prioritise product data, content, comparisons and external sources.
Next step
Choose one category with real business value.
We will assess whether the scope and available data allow a useful Snapshot.
FAQ
Questions before you decide
Do you assess a brand or a specific product?
The scope can include a brand, category, product family or individual product. We keep these levels distinct because brand presence does not prove the product is correctly matched.
Do we need a complete product feed?
Not always. For large catalogues, however, data quality and structure are an important part of the diagnosis. The scope depends on the sales model and how current information needs to be.
Is this only for e-commerce?
No. It also applies to SaaS, manufacturers, equipment, B2B solutions and products sold through partners or distributors.
Do you create product rankings?
No. We document observed presence and fit in a defined sample rather than presenting it as a universal ranking.