wolt.com — AI Search Visibility Report
Overall score: 38/100
AI search visibility analysis for wolt.com. LLMao scored wolt.com 38/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 40/100 — The error message is clear and simple, but the lack of actual business content makes it impossible to score for professional/informational readability.
- schema_markup: 0/100 — No <script type='application/ld+json'> blocks were found in the provided HTML. The site relies entirely on meta tags.
- authority_trust: 20/100 — The page lacks visible contact details, trust pages, or social proof in the scraped state. Metadata mentions 'most-loved delivery app' but no evidence is provided.
- citation_sources: 0/100 — No outbound links or citations are present in the current content state.
- content_freshness: 0/100 — No publication or modification dates are found in the HTML or metadata. Copyright year is missing from the scrape.
- content_structure: 20/100 — The page contains an H1 but it is an error message. No semantic HTML5 structure (main, section, article) is utilized for content.
- entity_definition: 30/100 — While the brand name 'Wolt' is consistent in metadata, there is no 'About' page link or clear entity definition in the body text.
- technical_accessibility: 55/100 — The site has a meta description and social meta (OG/Twitter), but the main content failed to load for the scraper, indicating high JS dependency or bot blocking.
Top recommendations
- Fix Bot Rendering and Error States (Technical Accessibility): The homepage is currently returning a 'Something went wrong' error message to the scraper. This prevents LLMs from indexing actual service offerings, restaurant lists, or value propositions. Ensure the site renders content for headless browsers and bot user-agents.
- Implement Comprehensive JSON-LD Schema (Schema Markup): Implement JSON-LD schema for Organization, FoodEstablishment (for partners), and Service. Currently, no structured data was detected in the provided HTML, making it difficult for LLMs to define Wolt as a specific entity.
- Optimize Heading Hierarchy and Semantic HTML (Content Structure): Replace the error message with a structured hierarchy of H1 and H2 tags that define the service (e.g., 'Food and Grocery Delivery in [City]'). Use semantic HTML5 tags like <main>, <section>, and <nav> to help LLMs parse the page layout.
- Enhance Trust and Transparency Signals (Authority & Trust Signals): Add visible trust signals such as a physical address, customer support email, and links to editorial standards or a 'How Wolt Works' page to improve E-E-A-T for LLM evaluators.
- Add Visible Freshness Signals (Content Freshness): Include a 'Last Updated' date or a copyright year (2026) in the footer that is visible to crawlers. The current scrape lacks any temporal signals, which can lead LLMs to perceive the content as stale.