What are the limitations of Roger?

Roger is a permission and context layer, not a modelling engine, so output quality still depends on the underlying assistant. Guardrail rules are fixed by the workspace admin, and the site does not document how granular or conditional they can get. Only the integrations on the published list are supported, so teams on other ad networks or analytics stacks are out of scope.

Roger

Name: Roger
Author: Roger

Shared marketing access layer that connects AI agents to ad and analytics platforms.

Intermediate

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Screenshot of Roger, Shared marketing access layer that connects AI agents to ad and analytics platforms

What is Roger?

Roger is a lead generation tool. Roger links Claude, ChatGPT, Cursor and Claude Code to Google Ads, Meta Ads, Analytics, Search Console, Merchant Center and other marketing platforms through one shared workspace with roles, shared skills, guardrails and an activity log.

Roger is a marketing hub that sits between the AI assistants a team already uses and the marketing platforms those assistants need to read or act on. Claude, ChatGPT, Cursor and Claude Code connect to Roger once, and Roger in turn holds the authorized connections to Google Ads, Meta Ads, Google Analytics, Search Console, Tag Manager, Merchant Center, TikTok Ads, LinkedIn Ads, Reddit Ads, Pinterest Ads and roughly 30 tools in total. Instead of every person wiring up their own credentials and rebuilding their own prompts, the whole team inherits one setup. The structure mirrors how a marketing department actually works. Tools are connected once at the workspace level, users get individual roles (Editor, Admin, Viewer), skills are shared across the team, and a context layer carries brand and account knowledge so an agent does not start cold on every request. Guardrails constrain what an agent may change: the site's own example shows a request to double a Meta budget being blocked by a rule capping increases at 50 percent per 24 hours, with a compliant draft offered in its place. An Activity log records what each person and each agent did, which is the piece most ad hoc AI workflows lack. In practice the product is used conversationally. A media buyer asks Claude to find wasted ad spend, Roger returns the search terms with zero conversions and a dollar figure, then drafts negative keywords. Similar flows cover budget pacing, traffic trends, search rankings, product feed disapprovals and creative fatigue. Actions land as drafts first, so a human still presses apply on changes to live campaigns. The tool is aimed at performance marketing teams and agencies that have already adopted general purpose assistants and want to stop improvising permissions. It is not an agent itself and it does not replace the ad platforms' own interfaces. Compared with native ad platform AI features, Roger's differentiator is breadth across platforms and one governed permission model; compared with custom scripts or MCP setups, it trades some flexibility for a managed, auditable layer.

How do you use Roger?

1Create the workspace
Sign up from the homepage and land in the Roger workspace. The free start path creates a hobby tier account so the setup can be tested before committing a team.
2Connect the marketing stack
Authenticate Google Ads, Meta Ads, Google Analytics, Search Console, Tag Manager, Merchant Center and any other listed platforms once at workspace level. Every member then inherits those connections.
3Invite the team and assign roles
Add colleagues and set each one as Admin, Editor or Viewer, so viewing analytics and changing live budgets are separated by permission rather than convention.
4Write shared context and skills
Fill in the brand and account context once and define reusable skills such as wasted spend audits. Agents working through Roger then draw on the same definitions.
5Set guardrails
Configure limits on what an agent may change, for example a cap on budget increases within a 24 hour window. Requests beyond the limit return a draft instead of applying.
6Run the first query and review the log
Ask Claude or ChatGPT a live question about the account, apply or reject the resulting draft, then check the Activity log to confirm what was read and what was changed.

Pros and cons

Pros

One workspace connection covers roughly 30 marketing tools, so nobody reconnects accounts per personAI
Per user roles (Admin, Editor, Viewer) plus an Activity log give the setup an audit trail most AI marketing workflows lackAI
Guardrails enforce limits on live changes, and mutations arrive as drafts before anything is appliedAI
Works inside the assistants teams already use, including Claude, ChatGPT, Cursor and Claude CodeAI
Shared context and skills mean brand and account knowledge is written once rather than per promptAI

Cons

Roger is a permission and context layer, not a modelling engine, so output quality still depends on the underlying assistantAI
Guardrail rules are fixed by the workspace admin, and the site does not document how granular or conditional they can getAI
Only the integrations on the published list are supported, so teams on other ad networks or analytics stacks are out of scopeAI
The Activity log covers actions taken through Roger, but nothing outside it, so a full compliance picture still needs platform side logsAI
Draft review adds a human step to every change, which slows down high volume bulk editsAI

How much does Roger cost?

Free trial

The hero offers a Start free path that opens a hobby plan signup, so a workspace can be created without an upfront payment. No trial length or paid tier details are stated on the homepage.

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Integrations

Roughly 30 tools connect through a single sign-in, including the major Google marketing products, Meta Ads, TikTok Ads, LinkedIn Ads, Reddit Ads and Pinterest Ads. The integrations page lists the full catalogue.

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Features

Shared context, per user access and permissions, shared skills, guardrails on live changes, and an Activity log tracking what each employee and agent does. Connectors reach Google Ads, Meta Ads, Google Analytics, Search Console, Tag Manager, Merchant Center, TikTok Ads, LinkedIn Ads, Reddit Ads, Pinterest Ads and ChatGPT Ads, with agents including Claude, ChatGPT, Cursor and Claude Code.

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Frequently asked questions about Roger

Does Roger offer a free trial?
The hero offers a Start free path that opens a hobby plan signup, so a workspace can be created without an upfront payment. No trial length or paid tier details are stated on the homepage.
How do you use Roger?
The walkthrough on this page covers 6 steps: 1. Create the workspace 2. Connect the marketing stack 3. Invite the team and assign roles 4. Write shared context and skills 5. Set guardrails 6. Run the first query and review the log.
What platforms does Roger support?
Roger is available on Web App.
What does Roger integrate with?
Roughly 30 tools connect through a single sign-in, including the major Google marketing products, Meta Ads, TikTok Ads, LinkedIn Ads, Reddit Ads and Pinterest Ads. The integrations page lists the full catalogue.
What are the limitations of Roger?
Roger is a permission and context layer, not a modelling engine, so output quality still depends on the underlying assistant. Guardrail rules are fixed by the workspace admin, and the site does not document how granular or conditional they can get. Only the integrations on the published list are supported, so teams on other ad networks or analytics stacks are out of scope.