# Good Productivity — AI Recommendation Optimization

Good Productivity helps high-consideration service businesses and ecommerce companies measure and improve whether AI assistants recommend them when buyers ask who to hire, compare, or trust.

Founder: Saul Ortiz, AI Implementation Strategist
Contact: hello@goodproductivity.com

## Service

Good Productivity freezes realistic buyer questions, records whether the business appears and who is recommended instead, identifies the sources and evidence influencing the answers, prepares prioritized improvements, and reruns the same questions to document movement.

The free snapshot tests three buyer questions against public web evidence and shows whether the business appears, who is recommended instead, the largest recommendation gap, and the first action to take.

The founding benchmark uses a frozen 30-question panel: 28 unbranded discovery questions and two branded entity-accuracy controls. Three runs across three AI surfaces create 270 planned observations. Repeated checks are used because AI answers can vary by model, time, phrasing, and available evidence.

## Important pages

- Product and free snapshot: https://ai.goodproductivity.com/
- AI recommendation optimization service: https://ai.goodproductivity.com/ai-recommendation-optimization
- Measurement methodology: https://ai.goodproductivity.com/methodology
- Practical guide: https://ai.goodproductivity.com/how-to-get-recommended-by-ai
- About Good Productivity and founder: https://ai.goodproductivity.com/about
- Pricing in machine-readable format: https://ai.goodproductivity.com/pricing.md
- Contact: mailto:hello@goodproductivity.com

## Claims and boundaries

Good Productivity measures tested AI answers and prepares or implements scoped improvements according to the selected plan. It does not claim to measure total consumer demand, universal AI market share, or guaranteed revenue impact. Placement, traffic, leads, and revenue are not guaranteed. Public performance claims will wait until the founding pilot demonstrates movement that survives repeated testing.