Rocket SaaS runs marketing programs for B2B teams. One channel they use for new client acquisition is cold email. But email outbound has gotten harder. Everyone is sending more messages, so personalisation has to be genuinely relevant, not cosmetic.
The problem was simple:
Rocket SaaS wanted a system that could run in the background, produce the same output structure every time, and be improved continuously without rebuilding the whole workflow.
Clay can already call models directly. Rocket SaaS chose Rightbrain because it made the workflow:
“We could call an LLM directly, but Rightbrain made the outputs consistent and easy to improve. That matters when it’s feeding emails automatically.”
Joe McLaughlin, Rocket SaaS
Rocket SaaS already had an internal landing page builder with a strong prompt based on best practice. They reverse engineered that thinking into a website audit scoring matrix.
The Rightbrain Task takes a prospect’s website and returns:
That predictable structure is what makes it safe to pipe directly into outbound messaging.
The workflow runs end to end without manual steps:
Clay creates or updates contacts from engagement
As Clay identifies new contacts engaging with Rocket SaaS ads, contacts are created in the workflow.
Clay calls Rightbrain via HTTP enrichment
Clay triggers the Rightbrain Task using an API call in the background.
Rightbrain returns a structured audit output
The Task outputs a consistent set of fields, like score plus three recommendations.
Clay populates fields and pushes to Instantly
Those fields are mapped into Clay columns and pushed into Instantly, where the audit insights become personalised lines inside outbound emails.
Model testing and prompt optimisation without breaking the system
Rocket SaaS started with a higher cost model to get quality right, then:
This makes the system scalable and keeps performance improving over time.
“We started expensive to get the output right, then used Rightbrain to test alternatives and bring cost down fast, without losing consistency.”
Joe McLaughlin, Rocket SaaS
This is early, but already proving the motion works:
If you want, we can add metrics here like audits per day, average cost per audit, reply rate lift, and time saved.
Rocket SaaS is using this as the first anchor use case, then expanding:
More variations of audit depth, angles, and triggers to level up automated outbound.
A Rightbrain Task trained on a client’s brand guidelines that can:
Rightbrain’s team helps identify where moments of micro intelligence will create the biggest leverage, then turn them into production ready Tasks.

“We could call an LLM directly, but Rightbrain made the outputs consistent and easy to improve. That matters when it’s feeding emails automatically.”
Joe McLaughlin, Rocket SaaS

Ready to ship your next AI feature?
Book demo
Rocket SaaS runs marketing programs for B2B teams. One channel they use for new client acquisition is cold email. But email outbound has gotten harder. Everyone is sending more messages, so personalisation has to be genuinely relevant, not cosmetic.
The problem was simple:
Rocket SaaS wanted a system that could run in the background, produce the same output structure every time, and be improved continuously without rebuilding the whole workflow.
Clay can already call models directly. Rocket SaaS chose Rightbrain because it made the workflow:
“We could call an LLM directly, but Rightbrain made the outputs consistent and easy to improve. That matters when it’s feeding emails automatically.”
Joe McLaughlin, Rocket SaaS
Rocket SaaS already had an internal landing page builder with a strong prompt based on best practice. They reverse engineered that thinking into a website audit scoring matrix.
The Rightbrain Task takes a prospect’s website and returns:
That predictable structure is what makes it safe to pipe directly into outbound messaging.
The workflow runs end to end without manual steps:
Clay creates or updates contacts from engagement
As Clay identifies new contacts engaging with Rocket SaaS ads, contacts are created in the workflow.
Clay calls Rightbrain via HTTP enrichment
Clay triggers the Rightbrain Task using an API call in the background.
Rightbrain returns a structured audit output
The Task outputs a consistent set of fields, like score plus three recommendations.
Clay populates fields and pushes to Instantly
Those fields are mapped into Clay columns and pushed into Instantly, where the audit insights become personalised lines inside outbound emails.
Model testing and prompt optimisation without breaking the system
Rocket SaaS started with a higher cost model to get quality right, then:
This makes the system scalable and keeps performance improving over time.
“We started expensive to get the output right, then used Rightbrain to test alternatives and bring cost down fast, without losing consistency.”
Joe McLaughlin, Rocket SaaS
This is early, but already proving the motion works:
If you want, we can add metrics here like audits per day, average cost per audit, reply rate lift, and time saved.
Rocket SaaS is using this as the first anchor use case, then expanding:
More variations of audit depth, angles, and triggers to level up automated outbound.
A Rightbrain Task trained on a client’s brand guidelines that can:
Rightbrain’s team helps identify where moments of micro intelligence will create the biggest leverage, then turn them into production ready Tasks.

“We could call an LLM directly, but Rightbrain made the outputs consistent and easy to improve. That matters when it’s feeding emails automatically.”
Joe McLaughlin, Rocket SaaS

Ready to ship your next AI feature?
Book demo
Rocket SaaS runs marketing programs for B2B teams. One channel they use for new client acquisition is cold email. But email outbound has gotten harder. Everyone is sending more messages, so personalisation has to be genuinely relevant, not cosmetic.
The problem was simple:
Rocket SaaS wanted a system that could run in the background, produce the same output structure every time, and be improved continuously without rebuilding the whole workflow.
Clay can already call models directly. Rocket SaaS chose Rightbrain because it made the workflow:
“We could call an LLM directly, but Rightbrain made the outputs consistent and easy to improve. That matters when it’s feeding emails automatically.”
Joe McLaughlin, Rocket SaaS
Rocket SaaS already had an internal landing page builder with a strong prompt based on best practice. They reverse engineered that thinking into a website audit scoring matrix.
The Rightbrain Task takes a prospect’s website and returns:
That predictable structure is what makes it safe to pipe directly into outbound messaging.
The workflow runs end to end without manual steps:
Clay creates or updates contacts from engagement
As Clay identifies new contacts engaging with Rocket SaaS ads, contacts are created in the workflow.
Clay calls Rightbrain via HTTP enrichment
Clay triggers the Rightbrain Task using an API call in the background.
Rightbrain returns a structured audit output
The Task outputs a consistent set of fields, like score plus three recommendations.
Clay populates fields and pushes to Instantly
Those fields are mapped into Clay columns and pushed into Instantly, where the audit insights become personalised lines inside outbound emails.
Model testing and prompt optimisation without breaking the system
Rocket SaaS started with a higher cost model to get quality right, then:
This makes the system scalable and keeps performance improving over time.
“We started expensive to get the output right, then used Rightbrain to test alternatives and bring cost down fast, without losing consistency.”
Joe McLaughlin, Rocket SaaS
This is early, but already proving the motion works:
If you want, we can add metrics here like audits per day, average cost per audit, reply rate lift, and time saved.
Rocket SaaS is using this as the first anchor use case, then expanding:
More variations of audit depth, angles, and triggers to level up automated outbound.
A Rightbrain Task trained on a client’s brand guidelines that can:
Rightbrain’s team helps identify where moments of micro intelligence will create the biggest leverage, then turn them into production ready Tasks.

“We could call an LLM directly, but Rightbrain made the outputs consistent and easy to improve. That matters when it’s feeding emails automatically.”
Joe McLaughlin, Rocket SaaS

Ready to ship your next AI feature?
Book demo