AI Visibility Baseline
Establish a controlled snapshot across buyer-intent prompts and relevant AI answer engines.
Services
Measurement, implementation, and iteration for AI discovery.
We connect what answer engines show with the underlying content, technical, entity, and third-party signals your team can improve.
Competitor Gap Analysis
Compare mentions, recommendations, claims, citations, and category positioning against named competitors.
Content and Entity Optimization
Improve the clarity, usefulness, evidence, and entity consistency of priority pages without mass-producing content.
Citation Opportunity Research
Identify the sources and third-party contexts that recur in answers, then prioritize realistic opportunities.
Structured Data Review
Check applicable schema, crawlability, page structure, and machine-readable signals. Schema supports understanding; it does not guarantee inclusion.
Monthly Monitoring
Repeat a stable prompt sample, annotate meaningful changes, and distinguish signal from normal answer variability.
Reporting and Iteration
Turn observed gaps into an implementation queue, review the work, and refine priorities each cycle.
Diagnose
Baseline prompts, map competitors, review cited sources, and identify technical or content barriers.
Prioritize
Rank work by relevance, evidence quality, feasibility, and business value—not by vanity volume.
Improve
Implement selected pages and signals, repeat the measurement, and document what changed.
Start with the smallest useful scope
A free snapshot helps us decide whether you need an audit, ongoing support, or a clearer internal measurement process.