Run AI agents inside your content projects, not in a separate chat window
Pre-built agents handle research, first drafts, SEO audits, and fact-checking. Each agent picks the right model (Claude, GPT, Gemini, or Perplexity) and writes directly into your project with your brand context loaded.
Stop copying and pasting between ChatGPT and Google Docs
Without Relato
- Every prompt starts from scratch with no brand context
- AI output lives in a chat window, your content lives somewhere else
- One model handles everything, whether it fits the task or not
With Relato
- Agents read your brand voice, style guides, and past work automatically
- Agent output lands directly in the project where the content lives
- Each agent runs on the model that fits: Claude for writing, Perplexity for research
Pick from pre-built agents or build your own
SEO Agent, Fact Checker, Content Brief Generator, Reddit Monitor, and more ship ready to use. Need something custom? Describe it in a sentence, and Relato builds the agent with the right model, tools, and library access.
- 20+ pre-built agents
- Custom agents in 60 seconds
- Each agent runs on the best model for the job
Agents read your Brand Library
Every agent has access to your uploaded brand voice, style guides, briefs, and published content. No re-prompting. No copy-pasting context into every conversation.
- Voice guides loaded automatically
- Past content as reference material
- No manual prompt engineering
Assign agents to project tasks
Add an agent to a task the same way you'd assign a person. When the project reaches that stage, the agent runs, drops its output in the project, and marks the task for human review.
- Agents assigned like team members
- Output lands in the project
- Human review before anything ships
Choose the right model for each task
Research benefits from Perplexity's web search. Long-form writing is strong on Claude. Fact-checking needs good grounding. Pick the model per agent instead of committing to a single vendor.
- Claude, GPT, Gemini, Perplexity
- Different model per agent
- Every run logged with full audit trail
94%
of marketers plan to use AI for content creation in 2026
Typeface, 2026
75%
faster campaign launches reported by teams using AI strategically
All About AI, 2026
22%
higher ROI reported by companies using AI in marketing
All About AI, 2026
19%
of content marketers track AI-specific KPIs
Digital Applied, 2026
“With Relato, I feel like AI and I can actually do something pretty great together.”
Caitlin McCarthy Messaging Strategist and Copywriter “Relato AI agents are a lifesaver for content marketers like us.”
Anna Mariya Joseph Content Writer & Strategist How Relato compares for AI content production
| Relato | ChatGPT / Jasper / Copy.ai | |
|---|---|---|
| Brand context | Agents read from centralized Brand Library automatically | Manual prompt engineering per conversation |
| Workflow integration | Agents run inside projects, output lands in the brief | Separate tool. Copy-paste output into your workflow |
| Model choice | Pick per agent: Claude, GPT, Gemini, Perplexity | Locked to one model vendor |
| Human review | Built-in approval gates before content advances | No native review workflow |
| Audit trail | Every agent run logged: model, prompt, output | Chat history only |
Frequently asked questions
Which AI models does Relato support?
Relato supports Claude (Anthropic), GPT (OpenAI), Gemini (Google), and Perplexity. Each agent can be configured to use a different model based on the task: research, writing, editing, or analysis.
Can I build my own custom AI agents?
Yes. Describe what the agent should do, pick a model, select which Brand Library documents it can access, and set any tool integrations (web search, data lookups). Custom agents are typically ready in under 60 seconds.
Does AI-generated content go through human review?
Always. Agents drop output into the project and mark the task for review. A human editor approves, requests changes, or rejects the output before the project moves to the next stage. No content publishes without human approval.
How does the Brand Library work with AI agents?
When an agent runs, it reads from the Brand Library documents assigned to that workspace: voice guidelines, style guides, reference articles, and previously published content. This means AI output matches your brand on the first pass, without manual prompt engineering.
Run your first AI agent inside a project
Pre-built agents work on day one. Custom agents in 60 seconds.