A visible baseline
Record current rankings, answer coverage, brand mentions, cited sources, and conversion paths for a defined question set.
AI Discoverability / AI visibility assessment
An AI visibility assessment maps where your company is found, understood, mentioned, and cited across search engines and generative research experiences.
Direct answer
An AI visibility assessment compares the questions buyers ask with the pages, entities, sources, mentions, and citations that currently represent your company. It creates a measured baseline and a prioritized action plan. It does not promise a particular ranking or AI citation.
The buyer question
Where are buyers finding competitors instead of us, and what should we fix first?
Business value
The work is judged by observable business and operational outcomes, not by the number of tools configured.
Record current rankings, answer coverage, brand mentions, cited sources, and conversion paths for a defined question set.
Separate technical, content, entity, authority, and conversion issues so the highest-impact work is clear.
Create a question and evidence set that can be checked again without changing the definition each month.
Scope
The final scope follows the observed system, current constraints, and the smallest release that can prove value safely.
Group commercial, comparison, problem, and implementation questions by buyer stage.
Observe traditional results and representative AI answer surfaces using controlled prompts and locations.
Inspect which pages and third-party sources explain the company consistently.
Rank fixes by buyer value, evidence strength, effort, and dependency.
Implementation path
Agree on markets, audiences, questions, competitors, and the conversion event that matters.
Capture current visibility and the sources that shape each result.
Trace weak coverage to technical, content, authority, or entity causes.
Turn findings into a sequenced 30-, 60-, and 90-day plan.
Definitions stay fixed long enough to compare the same system before and after a change.
The share of agreed buyer questions with a useful owned answer.
Observed brand mentions and cited-source coverage across the measured sample.
Organic and assisted conversions connected to discoverability pages.
Worked example
A B2B service company can begin with twenty high-intent questions rather than an undefined promise to “rank everywhere.”
Direct system behavior, source records, analytics, tests, and approved business definitions take priority over assumptions.
Capabilities are not presented as customer outcomes. Results require a defined baseline, implementation record, and verified measurement.
A release is complete only after its intended output is observed in the target environment and a rollback or correction path is understood.
Direct answers
No. Search engines and AI systems control their outputs. The assessment improves the quality, consistency, and availability of the evidence they may use.
It includes technical search health, but also reviews direct-answer quality, entity consistency, third-party sources, AI mentions, citation patterns, and the conversion path after discovery.
Access to current analytics and search data is helpful, plus priority markets, buyer questions, competitors, and the business outcome the visibility work should support.
Next step
Related AI Discoverability capabilities