Fred The User Research Shepherd

What AI says

AI engines have a partial picture of Fred The User Research Shepherd, a Market Research supplier in it. Across recent queries the company scored 55 out of 100 (Weak Signal), with the strongest dimension being Buyer Trust at 88 out of 100 and the weakest AI Recommendation Rate at 30 out of 100. One AI engine (out of 4 tested: GPT-4o mini, Claude Haiku, gemini-2.5-flash, deepseek-chat) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include user research, usability testing, thematic analysis. Certifications and trust indicators referenced by AI: gdpr, soc 2 type ii. The biggest opportunity for improvement is the AI Recommendation Rate dimension; the Improvement Roadmap below lists concrete supplier-executable actions ranked by expected score uplift.

AI engine breakdown

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

Improvement Roadmap

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

1. 1

   Create web schema for improved discoverability

   +12 pts

   Implement structured data markup on your website using schema.org to enhance search engine visibility. This will help AI systems better identify and categorize your company, increasing discoverability and overall identity score.

   Identity & Presence · Medium effort

2. 2

   List your company on major directories

   +10 pts

   Ensure your company is listed in major business directories such as Google My Business, LinkedIn, and industry-specific directories. This will strengthen your online presence and improve your identity score by making it easier for AI to find your business.

   Identity & Presence · Low effort

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