Recommendations
Know exactly what to change, and why. Prioritized, actionable guidance based on your visibility data, competitive gaps, and citation patterns.
Create a detailed comparison guide: your brand vs. top 3 competitors
- 1.Create a long-form comparison page covering features, pricing, and use cases for your top 3 competitors
- 2.Include a structured comparison table with clear differentiators
- 3.Add customer quotes or case study references that support your positioning
Pursue G2 review placement to boost citation share
Pursue guest post on industry publication covering your niche
Every recommendation is specific and actionable
Target URL and affected queries
Each recommendation targets a specific page on your site and lists the queries where you have visibility gaps, with current SOV data so you can see the opportunity.
Impact and effort estimates
Ranked by estimated impact so you work on the highest-value changes first. Effort estimates help you plan sprints and allocate resources.
Step-by-step action specs
Detailed instructions your content team can execute immediately. Add this schema, expand this section, restructure this comparison table.
Automatic experiment on implementation
When you make the change, Sill detects it and starts an experiment automatically. You'll see whether the recommendation actually moved the needle.
Monitor → Analyze → Recommend → Experiment → Repeat
Recommendations are generated from your monitoring data. When you implement one, Sill runs an experiment to measure the impact. New monitoring data flows in, and the next round of recommendations reflects what you learned.
Questions
Common questions about Sill's AI visibility platform, Decision Boundary simulations, and Generative Optimization methodology.
Stop guessing what to change
Get prioritized recommendations based on your actual visibility data. Know what to change, why it matters, and how much impact to expect.