Solutions
Who the measurement is for
The product is the same evidence trail. These pages describe the decision each team is usually trying to make. If you sell products, start with ecommerce: that is the page that talks about categories, attributes and buying questions rather than a generic role.
Online stores
eCommerce teams
Measure product-category mentions, recommendation context and cited sources across a reviewed set of buying questions.
- Which product categories include our brand?
- What attributes shape competitor recommendations?
- Which sources support the visible buying advice?
Other teams
Marketing managers
Measure where your brand appears in generated answers, how competitors are positioned and which findings deserve content, technical or authority work.
SEO specialists
Connect prompt-level observations and citation patterns to crawlability, content coverage, entities and authority without replacing foundational SEO.
Content teams
Review the questions, sources and competitor explanations found in generated answers before deciding what to create or update.
AI strategists
Define markets, systems, buyer questions and measurement rules before turning generated-answer observations into a strategic roadmap.
Agencies
Separate client evidence, methodology and recommendations so reports remain explainable across accounts, markets and collection periods.
In-house teams
Coordinate cross-functional AI visibility work without losing the source observation, responsible owner or approval required for each action.
Enterprise teams
Keep collection scope, evidence, access boundaries and approvals explicit when multiple regions and stakeholders share one programme.
SaaS companies
Track category discovery, competitor recommendations and cited sources across problem-aware, comparison and solution-seeking questions.