Solutions

Eye for Marketers

Track how answer engines talk about your brand, where they cite you, and how competitors win—then validate improvements with repeatable runs.

Outcomes teams care about

Eye turns model behavior into visibility, citations, and concrete next steps you can validate.

Increase AI share of voice

Measure mentions and position across ChatGPT, Gemini, Claude, Perplexity, and more.

Win citations that drive answers

See the domains models cite and identify where your content needs coverage.

Spot competitor narratives early

Track sentiment and key drivers so you can respond before perceptions calcify.

Prove impact with reruns

Re-run the same prompt set to quantify lift after content or site changes.

Use a small set of repeatable workflows that keep the depth while staying easy to act on.

Run a prompt set weekly

Schedule a stable prompt set and watch drift, position, and mentions over time.

Analyze citations & sources

Identify which domains power recommendations, and where you’re missing coverage.

Find content gaps

Surface queries where competitors appear but you don’t—and prioritize what to fix first.

Export for stakeholders

Create clean exports (PDF/CSV) for leadership, agencies, and partners.

Validate improvements

After shipping changes, re-run to confirm movement and avoid regressions.

Use Prompt Lab for messaging

Test variations across models to learn what language triggers better coverage.

Drill down from charts and tables into evidence, sources, and changes across runs.

Schedule and monitor

Run the same prompt set on a schedule so you can track drift and stability over time.

Share of voice tracking

Measure who dominates AI recommendations—and how your share moves over time.

Citations and sources

Understand which domains drive recommendations and where you need coverage.

Competitive matrix

See competitor pressure at a glance, then drill into the evidence.

Create a project, add prompts, and start measuring visibility across answer engines in minutes.