Generic Prompts
One-off prompts create inconsistent outputs across the team.
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We build custom AI agents that streamline marketing workflows, support SEO and GEO initiatives, automate repetitive tasks, and accelerate execution. Built around your processes and brand standards, our agents improve efficiency and consistency while keeping strategic decisions in human hands.
Marketing teams often use AI one prompt at a time. That can help in the moment, but it rarely creates consistency. Custom AI agents give teams a more structured way to analyze information, follow defined steps, apply brand or strategy context, and produce outputs that can be reviewed and reused.
One-off prompts create inconsistent outputs across the team.
AI tools often lack the client, brand, campaign, or reporting context needed to be useful.
Different users apply different assumptions, formats, and quality expectations.
Teams still spend time recreating the same analysis, summary, or QA process.
AI outputs need clear checkpoints for accuracy, brand fit, and strategic judgment.
Good workflows get lost when they are not turned into repeatable agent instructions.
Silverback creates custom AI agents around specific marketing use cases. Each agent should have a clear purpose, defined inputs, expected outputs, usage instructions, and human review standards.
Identify the specific marketing task the agent should support.
Clarify what data, files, prompts, brand context, or examples the agent needs.
Create structured instructions, output formats, reasoning rules, and review expectations.
Run the agent against actual marketing examples and evaluate quality, accuracy, and usefulness.
Create usage guidance and improve the agent based on team feedback and output quality.
Custom AI agents work best when they are built around a defined job. Silverback helps marketing teams create agents that support high-frequency tasks where structure, context, review standards, and consistency matter.
Summarizes crawl exports, technical findings, issue severity, and recommended next steps from raw audit data.
Reviews AI citation gaps, schema observations, answerability checks, and source signal coverage across AI platforms.
Identifies query trends, CTR gaps, striking-distance rankings, emerging URLs, and pages losing ground.
Turns GA4, GSC, ranking, and AI visibility data into first-draft weekly or monthly reporting insights, ready to review instead of starting from scratch.
Creates first-draft content briefs based on search intent, target pages, competitor gaps, and answer-first structure.
Summarizes campaign movement, creative testing results, audience performance, and optimization considerations across paid channels.
Supports landing page reviews, metadata checks, content QA, schema validation, and pre-launch review workflows before anything goes live.
Converts detailed analysis into concise summaries for leadership and client communication with the right message and length.
8 agents. 4 phases. One workflow that moves from raw data to client-ready deliverables without starting from scratch each time.
Choose one repeatable marketing task where an agent could improve speed or consistency.
Define the inputs, context, examples, rules, and expected output format.
Create the agent instructions, workflow logic, prompt structure, and review standards.
Run the agent on real examples and evaluate accuracy, usefulness, and consistency.
Create usage notes so the team understands when and how to use the agent.
Improve the agent over time based on output quality, user feedback, and workflow changes.
A custom AI agent engagement helps your team turn one or more repeatable marketing tasks into structured AI-supported workflows with defined inputs, outputs, usage instructions, and review standards.
Turn repeatable tasks into structured AI-supported processes.
Agent library
Speed up summaries, research, reporting, QA, and review work.
Draft outputs
Create clearer standards for formatting, tone, structure, and recommendations.
Output standards
Define where accuracy, strategy, brand fit, and final judgment are required.
Review checkpoints
Move from scattered prompt usage to documented agent instructions.
Instruction source
Identify where additional agents could support future marketing workflows.
Next agents
Custom AI agents work best when they support a broader marketing system. These related services help connect agents to workflow design, automation, strategy, and reporting.
Custom AI agents do not need to start as a large technical project. Silverback can help your team identify one repeatable marketing task, build a practical agent around it, test the output, and document how it should be used.