Neolook

Performance marketers lose budget not because they lack data but because the signal-to-decision gap is too long. NeoLook closes that gap by connecting to Meta and Google Ads accounts, processing campaign history and live ROAS signals, and delivering one ranked decision per session to WhatsApp at 8am and 2pm daily. The operator replies to execute — scaling a winner, killing a deadweight ad set, or rotating a fatigued creative — and the action is applied directly through the official platform APIs. No dashboard visit required.

The differentiating feature is the Context AI layer, which ingests the full history of an account — audiences, creatives, ROAS patterns — after the operator supplies a Claude or ChatGPT API key. This gives recommendations account-specific context rather than generic benchmarks. The vendor states the system flags audience overlap, budget cannibalization between ad sets, frequency saturation, and attribution gaps that Meta Ads Manager does not surface natively. The command centre view ranks every campaign and creative by ROAS on one screen, refreshed every 72 hours.

NeoLook fits teams running steady Meta and Google campaigns who want to reduce reporting overhead and act on optimizations they’d otherwise miss or delay. It does not fit accounts where intraday budget decisions matter — the 72-hour refresh cycle and twice-daily WhatsApp cadence mean fast-moving spend situations are not caught in time. The tool also does not support autonomous multi-step planning; every action requires an explicit user reply before it executes, which is the right tradeoff for brand safety but rules out fully unattended optimization.

Integration requires linking Meta and Google Ads accounts plus a third-party LLM API key for the Context AI layer. The vendor is a certified Meta Business Partner operating under the official Meta API, serving over 150 Indian brands. There is no self-hosted option and no exposed API for programmatic access.