A measurement and implementation company for AI recommendations.

Why the company exists

Potential customers increasingly ask AI who to hire, trust, or compare. Most businesses cannot see whether they enter that decision, which competitor appears instead, or what information shaped the recommendation. Good Productivity makes that decision path measurable and actionable.

What we do

• Establish a fixed baseline using realistic buyer questions.
• Document recommendation position, competitors, citations, and factual accuracy.
• Prioritize the public website, proof, and authority improvements most likely to matter.
• Rerun the same questions and report movement, regressions, and uncertainty.

Who we serve first

Our initial focus is high-consideration service businesses and ecommerce companies. These businesses benefit when a buyer asks AI to shortlist providers, compare tradeoffs, or recommend the strongest fit.

Founder & AI Implementation Strategist

Saul Ortiz identifies business problems where AI can create measurable value, then designs, launches, and validates the systems that make it happen. Drawing on his experience building and operating ecommerce businesses, he founded Good Productivity to develop practical AI systems for customer acquisition, business operations, integrations, and digital products. The company is currently validating its services through controlled founding-customer pilots before making broad performance claims.

How we operate

We do not guarantee placement, traffic, leads, or revenue. We freeze the questions before optimization, timestamp the work, retain the evidence, and report when an intervention fails as clearly as when it succeeds.

Contact

Questions, founding-customer requests, and partnership inquiries can be sent to hello@goodproductivity.com.