ReevolSignal

Max-Planck-Institut für extraterrestrische Physik

DE · Research and Development · mpe.mpg.de

Last refreshed 2026-05-19

61Moderate Signal

Based on 2 AI engines across 1 buyer language.

Dimension breakdown

How AI engines perceive Max-Planck-Institut für extraterrestrische Physik across the five Signal dimensions.

AI Recommendation Rate80 / 100

Weight 30%

Identity & Presence80 / 100

Weight 20%

Product Clarity65 / 100

Weight 20%

Buyer Trust0 / 100

Weight 15%

Digital Footprint50 / 100

Weight 15%

What AI says

AI engines recognize Max-Planck-Institut für extraterrestrische Physik, a Research and Development supplier in de. Across recent queries the company scored 61 out of 100 (Moderate Signal), with the strongest dimension being AI Recommendation Rate at 80 out of 100 and the weakest Buyer Trust at 0 out of 100. One AI engine (out of 2 tested: GPT-4o mini, Claude Haiku) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include research and development, science & technology. No certifications or third-party validations surfaced in AI responses, which limits the Buyer Trust dimension at 0 out of 100 and the AI Recommendation Rate at 80 out of 100. The Improvement Roadmap below outlines how to close remaining gaps and push every dimension toward Strong Signal.

AI engine breakdown

One row per AI engine. Aggregates identity, sourcing, trust, and verdict queries.

AI EngineFoundSentimentRatingProducts mentionedCertifications
GPT-4o mini2 / 2neutralResearch and Development, Science & TechnologyNone
Claude Haiku0 / 1not foundNoneNone

Improvement Roadmap

Concrete actions to lift this supplier's Signal Score, ranked by impact. Generated from the latest audit.

  1. 1

    Publish certified certifications and credentials on institute website

    +28 pts

    Create a dedicated credentials page linking to or embedding scans of Certified v18 and v17 certifications. This directly addresses the 0/100 trust signal score by making third-party validation visible to procurement systems and human buyers evaluating the institute's legitimacy and compliance standing.

    Buyer Trust SignalsLow effort

  2. 2

    Document research outputs and services as discrete offerings

    +18 pts

    Create a structured services or research offerings page listing specific research capabilities (e.g., 'X-ray astronomy research services', 'instrumentation development', 'data analysis support') with technical descriptions and outcomes. AI currently sees only generic 'Research and Development' labels; explicit service categorization will improve clarity for B2B discovery and matching.

    Product ClarityMedium effort

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