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AI-Powered Recommendations

Act on what matters most

Prioritized, actionable guidance based on your visibility data, competitive gaps, and citation patterns. Every recommendation comes with an impact estimate.

app.trysill.com/dashboard/recommendations

Priority Queue

3 actions pending
GrowContent Creation
#1

Create a detailed comparison guide vs. top 3 competitors

Impact85
Effort40

Hover for details

DefendTechnical SEO
#2

Add FAQ schema to your pricing page

Impact72
Effort15

Hover for details

GrowOff-Site
#3

Pursue G2 review placement with case studies

Impact68
Effort55

Hover for details

How It Works

Impact and effort — not guesswork

Every recommendation includes a clear action spec your content team can execute immediately. No vague advice — concrete steps with estimated outcomes.

Impact & effort scores
See which changes will move the needle most, relative to the work required
Affected queries
Know exactly which AI conversations will improve if you act
Step-by-step instructions
Hand these directly to your content team — no interpretation needed
app.trysill.com/dashboard/recommendations/rec-14
GrowContent Creation80% Visibility · 10% Cit. Rate

Create a multi-platform comparison guide: your brand vs. top 3 competitors

DiagnosisCreate ContentArticle
Best AI Visibility Platforms in 2026: 5 Platforms Compared

You've read the same "best AI tools" list four times this week. But choosing an AI visibility platform isn't a marketing decision alone — it determines how well you can measure and improve your brand's presence across ChatGPT, Gemini, Perplexity, and other AI engines.

Quick Comparison
PlatformBest ForAI Platforms
SillFull-stack visibility + experiments6
NovaCraftEnterprise monitoring3
Helios AICitation tracking4
Optimized for AIBrand-awareCMS-Integration
The Learning Loop

Recommendations that get smarter over time

Complete a recommendation and Sill automatically tests the result. What worked gets prioritized. What didn't gets deprioritized.

You complete a recommendation

Sill detects the content change

An experiment runs automatically

Results update future priorities

Experiments are the only rigorous way to know what content changes actually drove improvement. Everything else is correlation. Sill runs these automatically so every recommendation gets real proof.

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.