Agency playbook
Build an AI agent retainer around client websites.
This playbook packages Agent One into a service agencies can sell: audit the client site, launch one useful AI agent page, capture qualified demand, and report the visitor questions that should become better content.
Published by Agent One Team.
Why this offer fits Agent One
Site checker demand
944 pageviews and 771 users in the last 90 days
Google entry point
822 search-attributed site-checker pageviews
Proof-candidate base
39 paid, published agents across paid tiers
Workflow demand
13,980 featured generator threads across n8n and Cursor
Offer ladder
Sell the audit, then sell the first agent page.
The mistake is pitching vague AI transformation. The cleaner offer is concrete: one readiness audit, one agent page, one monthly optimization loop.
Package
Deliverable
When to use it
Readiness audit
Website scan, content gap notes, best first agent recommendation, and lead capture plan.
Good entry offer when the client is unsure what AI should do.
First agent page
One trained AI agent page with knowledge sources, lead fields, handoff rules, and launch QA.
Best first paid implementation package.
Monthly optimization
Conversation review, content gap report, prompt tuning, lead routing improvements, and one new agent/page recommendation.
The recurring service that turns agent-as-marketing into a retainer.
Delivery workflow
The five-step retainer loop
Audit the client site
Run the Agent-Ready Website Checker, review the homepage and highest-intent service page, and identify missing FAQs, proof, pricing context, policies, or handoff details.
Choose the first agent page
Pick one page with clear buyer intent: lead capture, support intake, listing questions, appointment requests, quote requests, or product education.
Build from a template
Start from the client discovery, website auditor, or local service lead capture template. Add client-specific knowledge, lead fields, and handoff rules.
Publish and route demand
Launch the agent page on a paid, indexable surface. Route high-intent conversations to email, Slack, CRM, calendar, or manual review.
Report the content gaps
Summarize visitor questions, unanswered topics, lead quality, and recommended page updates. This is the monthly retainer loop.
Starter assets
Use these templates as the implementation base.
Templates are not the offer by themselves. They are the operating system for the offer: discovery, audit, launch, lead capture, and reporting.
Template
Agency Client Discovery AI Agent
Open template
Template
Agent-Ready Website Auditor
Open template
Template
Agency Client Onboarding AI Agent
Open template
Template
Local Service Lead Capture AI Agent
Open template
Template
FAQ-to-Lead Capture AI Agent
Open template
Template
Agency Retainer Reporting AI Agent
Open template
Monthly report
The retainer is won in the second month.
The monthly report should not be a vanity dashboard. It should show which questions visitors asked, which answers were weak, which leads were qualified, and what page or agent should be improved next.
Top visitor questions
Unanswered or low-confidence topics
Qualified lead summaries
Content updates shipped
Next agent page recommendation
FAQ
What is an AI agent retainer?
An AI agent retainer is a recurring agency service where the agency audits client content, launches AI agent pages, reviews conversations, improves prompts, and turns unanswered visitor questions into better pages and lead flows.
What should an agency sell first?
Start with a website readiness audit, then sell one focused AI agent page for a high-intent client workflow such as quote requests, support intake, appointment booking, or local service lead capture.
Why not start with every client page at once?
The first agent page should prove demand and reveal content gaps. A focused launch is easier to QA, easier for the client to understand, and easier to convert into a monthly optimization retainer.
Should free agent pages rank?
No. Agent One treats paid, published agent pages as the intended indexable proof-candidate surface. Free, trial, and draft pages should not become canonical proof.