
THE brıef
Most B2B ad copy fails because it's written from the inside out: features first, benefits second, the buyer's actual problem last. The agent reverses this. It starts with the buyer's pain, frames the solution in terms they use, and generates multiple copy variants structured for each platform's format — LinkedIn, Google, Meta. Variants are tested, winners are identified, and the copy model improves over time. No more guessing what will land.
Today
Ad copy is written once, runs until performance tanks, and is refreshed only when someone notices CTR has collapsed.
The same copy runs across LinkedIn, Google, and Meta with formatting hacks to fit each platform — not purpose-written.
Copy variants are selected based on team preference, not test data — winning patterns aren't identified systematically.

With ABM Strategist
Fatigue is monitored proactively and refresh copy is generated automatically based on winning patterns before performance degrades.
Platform-specific variants are generated from the same core message, respecting each platform's format constraints and audience expectations.
Variants are A/B tested in controlled pairs and winning patterns are identified by CTR and conversion rate — not opinion.
Data Waterfall
150+ enrichment providers. Sequential routing optimized per segment. The best answer wins. No vendor lock-in.

Agent Engine
Open-source execution engine. Workflows defined in code. Human-in-the-loop checkpoints. Full audit trail on every action.

Revenue Ontology
Every data source normalized into one model. Entity resolution across systems. Relationships stored, not inferred. Schema that evolves with your business.

Does the agent write copy for retargeting campaigns, not just top-of-funnel?
Can it use our customer testimonials and specific proof points?
How does it handle competitor mention restrictions — can we reference competitors?
What minimum budget is needed to run statistically valid A/B tests?






