The platform connects AI assistants with SEO, competitor research, AI search visibility and commerce data, allowing marketers to access research tools within existing workflows.
MARqentic has introduced a marketing research platform designed to connect artificial intelligence assistants with structured marketing data through the Model Context Protocol (MCP). The platform enables marketers, agencies and developers to access research capabilities covering search engine optimisation, competitor analysis, AI answer visibility and online commerce through compatible AI assistants.
Announced on November 11, 2026, the platform aims to bring marketing research tools into conversational AI workflows, reducing the need for users to switch between separate data services, spreadsheets and applications when gathering information.
MARqentic uses MCP, a protocol that allows AI assistants to connect with external tools and data sources. Through this integration, compatible assistants can request marketing information based on user queries and retrieve data from research tools available within an authorised workspace.
The platform's capabilities include keyword discovery, search rankings, backlink analysis and technical SEO research. It also provides tools for examining how brands appear in AI-generated answers, alongside local search and online marketplace research.
According to the company, the platform is intended to support activities such as identifying search opportunities, comparing competitor domains and collecting product or marketplace information.
MARqentic also offers a REST API, allowing developers to incorporate its research capabilities into custom applications and existing software environments. Both the API and MCP connections use the same underlying research tools and workspace accounting system.
The company has introduced spending controls to help users manage research costs. Supported tools can provide cost estimates before paid requests are executed, while configurable budgets allow organisations to limit credit consumption.
Workspace usage records are also available to help users review charges associated with completed research requests.
Access to the platform is managed through workspace permissions, with users able to revoke assistant connections and API keys when they are no longer required.
MARqentic said the availability of individual research tools depends on deployment settings, provider configurations and workspace permissions. The company distinguishes between implemented capabilities and integrations that remain under development.
Social research integrations are among the additional capabilities being developed, although live verification for these tools is still pending. Their inclusion in the platform's documentation does not necessarily indicate that they are available for production use.
The company has published connection guides, technical documentation and workflow resources to support organisations interested in integrating the platform with compatible AI assistants.
MARqentic has not disclosed pricing details, customer adoption figures or performance benchmarks for the platform.
The announcement adds another option for marketers exploring the use of AI assistants to retrieve research data and support SEO, competitive intelligence and digital marketing analysis within existing workflows.
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