Spot anomalies. Close competitor gaps. Move faster.
RAG pipelines over your own campaign history surface anomalies, competitor spend gaps, and next-best-action recommendations — account-specific, not generic platform insights.
Surfaces unexpected drops in CTR, impressions, or conversions — before they compound into a missed quarter. Flagged with confidence scores.
Identifies where competitors are outspending or outperforming — and quantifies the gap in dollar terms for client conversations.
Vector embeddings of your full campaign history enable semantic search across hundreds of past campaigns. Ask in plain English.
For each account, the AI recommends the single highest-ROI action — adjust bid, shift budget, expand keyword set, or pause campaign.
Import from Google Ads, Meta, or upload a CSV export. Historical campaigns are indexed into the RAG pipeline.
The AI identifies anomalies, computes competitor gaps, and generates account-specific next-best-action recommendations.
await analyzeAccount({ accountId: "abc123", includeCompetitors: true, ragDepth: "full" })Each recommendation is tagged with confidence score and expected revenue impact. Your team knows exactly what to do next.