adobe.com — AI Search Visibility Report
Overall score: 79/100
AI search visibility analysis for adobe.com. LLMao scored adobe.com 79/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 85/100 — Content is clear and professional. Jargon is used but usually accompanied by a brief description.
- schema_markup: 65/100 — Basic WebPage and Organization signals present in metadata, but lacks rich JSON-LD for products and FAQs.
- authority_trust: 80/100 — Strong brand authority and clear contact/legal pages, but lacks visible publication dates for homepage content.
- citation_sources: 60/100 — High internal linking and claim verification, but lacks outbound links to third-party authoritative sources.
- content_freshness: 75/100 — Copyright and promotional metadata are current for 2026, but explicit 'last modified' dates are missing.
- content_structure: 90/100 — Excellent use of semantic HTML and clear heading hierarchy (H1 present, followed by logical H2s).
- entity_definition: 85/100 — Brand consistency is perfect. About page is linked, but specific term definitions for new AI features could be more explicit.
- technical_accessibility: 88/100 — Excellent meta descriptions and social tags. Robots.txt is generally permissive for major bots.
Top recommendations
- Add Product & Software Schema (Schema Markup): Implement SoftwareApplication and Product schema for all featured tools (Photoshop, Acrobat, etc.) on the homepage to help LLMs understand specific capabilities and pricing.
- Visible Freshness Signals (Authority & Trust): Add visible 'Last Updated' dates to the homepage content. While the copyright is current, LLMs prioritize explicit content freshness signals.
- Define Proprietary AI Terms (Entity Definition): Create a dedicated 'Definitions' or 'Glossary' section for AI terms like 'Generative Fill' or 'Content Supply Chain' to anchor these entities for LLM training data.
- Improve AI Chatbot Indexability (Technical Accessibility): Ensure the AI Chatbot content is fully indexable by LLM crawlers by providing a non-JS fallback or text-based summary of its capabilities.
- External Trust Citations (Citation & Source Quality): Include outbound links to industry standards or independent reviews (e.g., G2, TrustRadius) to provide external validation for performance claims.