AI + LLM Visibility
Be the answer when AI is asked about your category.
Brands That Appear When AI Is Asked the Question
When someone asks ChatGPT, Gemini, or Perplexity which law firm handles wildfire litigation in California, or which marketing agency specializes in trust-based systems — there is an answer. The question is whether your brand is it.
AI and large language models are trained on content that exists on the web. Brands with clear, structured, authoritative, and consistently reinforced content about their specific category are more likely to be cited, named, and recommended when AI answers category-specific questions. Digilu builds the content infrastructure that positions brands inside AI responses.
- LLM-optimized content strategy
- Entity reinforcement pages and llm.txt files
- Category authority content
- Consistent brand signal reinforcement
- Schema markup and structured data implementation
- AI citation monitoring
Content Structure + Signal Consistency
Audit
Analyze current AI visibility, entity recognition, and structured data gaps.
Content Architecture
Build content structure that reinforces brand authority for AI training.
Technical Signals
Implement schema, LLM files, and structured data for AI entity recognition.
Monitor
Track brand mentions in AI responses and refine based on citation patterns.