How Recommendations Are Generated

Surfaced's recommendation engine analyzes three data sources to generate specific, prioritized content suggestions:

Gap queries — queries where competitors are cited but you aren't. These represent the highest-impact opportunities.
AI response analysis — what content AI platforms are extracting from competitors. If Perplexity consistently cites a competitor's comparison page, you need a comparison page.
Content structure patterns — which content formats (FAQ, how-to, comparison, listicle) earn the most citations in your category.

Types of Recommendations

📝

Blog Post Topics

Specific article topics targeting queries where you’re invisible. E.g., 'Write a comparison article: [Your Brand] vs [Competitor] for [use case]' — because AI frequently cites comparison content.

❓

FAQ Additions

Questions to add to your FAQ page based on what AI users are actually asking. FAQ content is one of the most commonly extracted formats by AI crawlers.

🏗️

Schema Markup

Specific structured data to add (FAQPage, HowTo, Product) that helps AI crawlers understand your content at a glance.

⚖️

Comparison Content

Head-to-head comparisons with specific competitors, targeting the 'best X' and 'X alternatives' queries that drive the most AI recommendations.

🔧

Technical Fixes

Issues preventing AI crawlers from reading your site: JavaScript rendering, robots.txt blocks, missing llms.txt, slow page load.

How Recommendations Are Prioritized

Not all gaps are equal. Surfaced prioritizes recommendations by:

Impact score — queries with higher search volume and more competitor citations rank higher
Difficulty — a missing FAQ answer is easier to fix than building brand authority from scratch
Platform coverage — gaps that appear across multiple AI platforms (not just one) are prioritized
Competitor density — queries where many competitors are cited but you're absent indicate a category-level blind spot

The Science: Why This Works

Princeton University's GEO (Generative Engine Optimization) research, which analyzed 10,000 queries across 9 sources, found that specific content strategies can boost AI visibility by up to 40%:

Adding statistics and quantitative data+40% visibility

Including citations to authoritative sources+37% visibility

Adding expert quotations+30% visibility

Structured content (headings, lists, FAQ)+25% visibility

Keyword stuffing (traditional SEO tactic)Negative impact

Surfaced's recommendations are informed by this research. When we suggest a blog post, it's designed to include the signals that AI models actually reward — not just traditional SEO tactics.

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Content Recommendations