TL;DR: You can now ask Adverteyes a question directly from Claude, ChatGPT, Gemini, or wherever you’re already working, and get a real answer back, grounded in how people actually respond to ads. It’s instant enhancement for your creative briefs, GenAI instructions, and communications planning.
No dashboard needed. No waiting on an analyst. It’s the same human response system relied on by brand partners like Intuit and Mars, as well as partners like Clinch, Nielsen, and Publicis.
Penri Jones, CEO of Arloesi, a leading content transformation consultancy, said:
“Adverteyes gives the enterprise consumer brands I advise what no human review process can: real outcome scores, recommendations, and creative playbooks at the volume modern creative demands. Adverteyes MCP connects that knowledgebase directly into agentic workflows, so the content engines we build for clients can ground outputs in real human response before anything ships. As that system keeps learning, it’s becoming core to how I help enterprise brands build the agentic content engines that power their growth.”
"...it's becoming core to how I help enterprise brands build the agentic content engines that power their growth."
Who is Adverteyes MCP relevant for?
Creative & Brand Leaders
If you’re on a creative or brand team, the knowledge base talks back now. You can ask it straightforward questions about best practices for specific platform placements, verticals, or audiences. It can also enhance creative briefs and GenAI creative instructions, surface how your ads adhere to best practices, or identify ideal audiences and placements for a specific ad creative. Ask it a real question and get an answer, based on 18M+ human observations across 100K+ ads tested in 90 countries with attention and emotion.
Here’s an example from a query we ran: for branded food and beverage video running in U.S. feeds, spots that keep music going the whole way through but vary its intensity see close to 3x the typical lift over ones that don’t. And outside of stylized studio setups, cutting speech down is one of the more reliable patterns across categories. That intelligence used to require a request to the insights team and a few days’ wait. Now it’s a prompt.
Agentic Solution Architects & Product Builders
If you’re building agentic advertising workflows or scalable content engines, anything that concepts, generates, or reviews creative with automation, the hard part was never producing variants. It’s knowing which ones will perform. Adverteyes MCP gives your agents a human-response context layer to check against in real time: grounding GenAI production in what actually drives attention, informing media-buying decisions with creative performance intelligence, and adding that same layer to campaign concepting. A concepting agent, a GenAI production pipeline, a media-buying agent; any of them can enhance their own output against real attentional and emotional response data before anything ships.
What’s New and What Not
Nothing about the underlying intelligence is new. The MCP extracts knowledge from the same models and human response data, calibrated to sales, brand, and interaction outcomes, that already power scoring and diagnostics inside Adverteyes. What’s new is that it’s reachable as a connector, so the same evidence that shapes a good brief can also inform what an agent does next.
We’re opening first with a limited group to gather feedback, and what we learn will shape what we build next, beyond the trends database itself. Brand-specific queries, ad scoring, and other possibilities are all on the table, depending on what turns out to be most useful. Adverteyes MCP is another way to access Adverteyes Creative Intelligence, alongside the API, dashboard, and preferred integration partners already used by many of the world’s largest brands.