GEO Technical Action Plan
Deterministic technical fixes engineered to maximize structured LLM entity indexing.
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Add Organization JSON-LD Schema
Your homepage is missing structured Organization schema markup. LLMs heavily weight JSON-LD entity data when constructing knowledge graphs. Adding this schema will help AI engines correctly identify your brand, category, and key attributes.
Create Comparison Landing Pages
AI engines frequently cite comparison content when users ask 'X vs Y' queries. You're missing dedicated comparison pages for your top competitors. Create authoritative, fact-based comparison pages to capture these high-intent prompts.
Add SoftwareApplication Schema
Define your product as a SoftwareApplication entity with proper category, pricing, and feature annotations. This helps LLMs understand your product's capabilities and pricing tier.
Implement FAQ Schema on Key Pages
FAQ structured data directly feeds LLM training pipelines. Add FAQ schema to your pricing, features, and product pages with questions that mirror common buyer prompts.
Publish Technical Authority Content
LLMs prioritize citing sources that demonstrate deep technical expertise. Publish long-form technical guides (3000+ words) on your core domain topics to establish topical authority.
Optimize Meta Descriptions for AI Extraction
Your meta descriptions are marketing-focused but lack the factual density that LLMs prefer for citation extraction. Rewrite them to include concrete facts, numbers, and category identifiers.