Our Commitments

We believe in open, honest communication about what AI commerce optimization can and cannot do. We won't oversell capabilities or make promises we can't keep. When we don't know something, we say so. When protocols change in ways that affect our recommendations, we proactively inform clients.

The shift to agentic commerce is significant, but we refuse to use fear-based marketing. We educate clients about what's actually happening in AI shopping, share realistic timelines, and help them make informed decisions. We publish our research freely and contribute to industry understanding.

We implement using open standards (Schema.org, UCP, emerging protocols) rather than proprietary solutions that lock clients in. When we build tools, we build them on open foundations. This ensures your optimizations remain valuable regardless of which AI agents dominate the market.

The optimizations we implement should benefit consumers, not just businesses. Better structured data means AI agents give better recommendations. Clearer product information means fewer returns and happier customers. We won't implement manipulative patterns that trick AI agents at the expense of consumers.

AI commerce is evolving rapidly. We commit to continuous research, testing, and learning. We track how different AI agents behave, monitor protocol developments, and update our recommendations as the landscape changes. Our clients benefit from this ongoing investment in knowledge.

We believe in accountability. Every engagement includes clear metrics and reporting so you can see the impact of our work. We measure AI visibility scores, track protocol compliance, and report on competitive positioning. If something isn't working, we'll tell you and adjust our approach.