Summary
- What problem does eLLMo AI solve for beauty brands? * eLLMo AI addresses inconsistent and unstructured product data, which leads to brands being skipped or misrepresented by AI assistants—resulting in lost trust and sales.
- What types of data does eLLMo extract and structure for AI consumption? * eLLMo extracts ingredients (including INCI lists and concentrations), skin-type and concern mapping, claims and certifications (e.g., cruelty-free, SPF), and usage/application details, normalizing them into searchable, AI-ready attributes.
- How does the AI-readiness scoring and improvement process work? * Each product page is evaluated with URL Intelligence and given an Agentic Commerce Score (0–100), along with specific, actionable recommendations such as "add structured ingredient list" or "add skin-type compatibility."
- How does eLLMo ensure content accuracy for AI-generated product descriptions? * Content Intelligence tools generate AI-optimized descriptions and FAQs that are fact-checked against actual catalog data, eliminating hallucinated ingredients or claims and linking every description to verified attributes.
- How can brands measure their performance and AI visibility with eLLMo? * SOAV dashboards track a brand’s share of AI-generated answers across platforms like ChatGPT, Claude, Gemini, and Perplexity, showing which queries mention the brand or competitors and providing prompt-level analytics to guide catalog improvements.
- "When AI can't find accurate data, it skips your brand or recommends competitors with better-structured information. You lose trust and sales."
- "No hallucinated ingredients, no made-up claims. Every generated description links back to verified product attributes so AI assistants recommend with confidence."


