agentbuyable.ai Launches Dual-Track Platform for AI Discovery and Agentic Commerce
June 27th, 2026 8:00 PM
By: Newsworthy Staff
Agentbuyable.ai introduces answer engine optimization and agentic commerce services targeting five B2B verticals, enabling businesses to become discoverable and transactable inside AI-powered search environments without website overhauls.

San Diego-based agentbuyable.ai has launched a two-track platform designed to help small and mid-market businesses become discoverable and transactable inside AI-powered search environments without requiring a website rebuild. The company, founded by Mark Pearson, is introducing answer engine optimization (AEO) and agentic commerce protocol implementation as distinct service lines. The launch positions agentbuyable.ai at an early stage of a notable infrastructure shift, as AI assistants like ChatGPT, Perplexity, and Gemini increasingly serve as the primary entry point for business discovery and purchasing decisions.
The platform's first track, answer engine optimization, addresses a growing gap between where buyers are asking questions and where businesses are appearing in results. As consumers and procurement teams turn to AI-powered search tools to research vendors, traditional SEO signals are no longer sufficient. agentbuyable.ai's AEO service restructures a client's content, schema, and authority signals to satisfy how answer engines retrieve and rank information.
The second track focuses on agentic commerce — the emerging capability for AI agents to not just recommend a business, but complete a transaction on a user's behalf. agentbuyable.ai aligns client infrastructure with ACP (Agent Communication Protocol) and UCP (Universal Commerce Protocol) standards, enabling businesses to be recognized and acted upon by autonomous AI agents. This positions clients to participate in a transactional layer that most competitors have not yet acknowledged.
“The window to be a first mover in AI-discoverable and agent-transactable infrastructure is open right now, and it will not stay open indefinitely,” said Mark Pearson, Founder of agentbuyable.ai. “We built this platform so that a law firm, a registered investment advisor, or a B2B SaaS company does not need to rebuild their website or hire an AI engineering team — they just need the right structure, the right signals, and the right protocol alignment to show up and transact inside the tools their buyers are already using.”
agentbuyable.ai is launching with a defined focus on five verticals: B2B SaaS firms, Registered Investment Advisors (RIAs), law firms, medical groups, and service professionals. These segments share a common challenge — they rely heavily on reputation, trust, and discovery to acquire clients, yet most have no meaningful presence inside the AI environments where those discovery moments are now taking place. For RIAs and law firms, the compliance and credibility requirements around how their services are described make answer engine optimization especially consequential.
The launch comes at a moment when most digital marketing service providers are still orienting their offerings around traditional SEO. ACP and UCP protocol alignment remains outside the scope of nearly all mainstream marketing agencies. By building both service lines around these protocols from the outset, agentbuyable.ai is establishing a category position that is difficult to replicate quickly. The platform is structured to serve businesses that do not maintain large in-house technology teams, and implementation does not require clients to overhaul existing web infrastructure.
The practical implication is that a medical group or independent software vendor that moves now stands to capture consistent AI-referred and agent-initiated business before competitors establish equivalent visibility. The combination of answer engine optimization and agentic commerce services under a single platform makes agentbuyable.ai one of the few providers currently offering end-to-end coverage of both the discovery and transaction layers inside AI-powered search environments.
Source Statement
This news article relied primarily on a press release disributed by Press Services. You can read the source press release here,
