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Creative
Predict, before spend, whether your format specific visual and audio assets will capture human attention. Diagnose which elements drive attention and which dilute it, with design insights to fix what underperforms.
AI-composable attention intelligence for media and marketing workflows. Fully compatible with the highest IAB and MRC attention methodology standards, cost-efficient by design, with 200 included Attention Credits after email verification.
Understand why and design how attention happens, not just measure it.Understand why and design how attention happens,not just measure it.
Start with Viomba MCP
Use the same account and MCP connection paths from the top navigation when you are ready to evaluate attention intelligence or open the Viomba MCP dashboard.
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Full attention value chain
Viomba MCP connects creative, ad placement, and media context to the human attention they generate, translating that signal into multichannel outcome value. The workflow is the product: a continuous loop of prediction before spend is committed, optimisation as campaigns run, and verification once results are in — so every decision is grounded in the same attention evidence, at every stage of activation.
For the first time, AI agents can interrogate every signal directly, turning high precision human attention measurement into attention design. Ask why one creative outperforms another, why one placement amplifies and another mutes, why some contexts hold attention and others break it. Stop guessing why attention works. Start designing it.
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Predict, before spend, whether your format specific visual and audio assets will capture human attention. Diagnose which elements drive attention and which dilute it, with design insights to fix what underperforms.
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The same creative performs differently across placements. Generate placement level high attention scripts to optimize programmatic outcomes, with in flight reporting and outcome analysis.
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Turn high precision fixation predictions into Seen%, Viewtime, heatmaps, combined audio-visual impact scores, and media context benchmarks ready for activation.
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Score, benchmark, and optimize placement level human attention in flight. Compare buyer and publisher scenarios. Integrate activation scripts and attention scoring into your programmatic workflows.
Solution paths
Why Viomba MCP? No new tab, no login. Plugs into Claude, custom agents, and your team's AI stack in their language. Brief, score, predict, analyze and activate high precision attention across a media plan, one conversation. Hand the loop to automation. Focus on strategy. No new dashboard. No context lost. Human attention intelligence wherever you work.
Score and benchmark display ads, build high-attention creative, preview placements in context, and plan domain-level attention quality before spend scales.
Inspect frame-level audience focus, score audio-visual attention, map engagement across the timeline, and optimize brand moments before final cut.
Score social creatives across formats and placements. More social channels coming soon.
Combine creative, placement, benchmark, and reporting outputs into a tagless high-attention optimization workflow before and during activation.
Activation
Create a Free account with verified email, connect an MCP-compatible AI client, and use 200 included Attention Credits to test real attention workflows. Larger developer test benches and paid credit packs stay available when usage grows.
Integration path
01 / Start free
No card needed for the first evaluation path.
02 / Connect client
Connect compatible clients such as Claude, Cursor, VS Code, Manus, n8n, or mcp-cli.
03 / Scale when ready
Developer test benches and Enterprise evaluation stay separate from self-serve credit packs.
MCP endpoint
https://mcp.viomba.comAttention-backed decisions
Viomba MCP turns human attention prediction into decisions you can act on. Use it for high-attention ad building, creative review and optimization, placement-level attention planning, predictive omnichannel scoring, in-flight campaign optimization, attention-based domain packaging, real-time performance reporting, and any attention analytics you and your AI agent design.
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