Brands
list, create, update, scope
AI and MCP Integration
Zeover is the GEO control plane for AI agents.
MCP turns Zeover from a dashboard into an agent-operable system. Claude, Cursor, Codex-style workflows, and custom agents can discover Zeover tools, read live brand data, run benchmarks, inspect audits, generate content, and help ship fixes.
Zeover MCP Server
tools/list readyProtocol handshake
AI client discovers Zeover tools through MCP, then calls live GEO operations with account and brand-scoped permissions.
44 toolsClaude Code SSE
$ claude mcp add --transport sse zeover \ https://api.zeover.com/api/v1/mcp/sse \ --header "Z-API-Key: YOUR_KEY"
Tool surface
AI agents do not get advice. They get Zeover operations.
The differentiator is not "AI can read a report." Zeover exposes the actual GEO operating layer through MCP.
Audits
domain reports, page analysis, fixes
Benchmarks
rankings, citations, reruns
Content
blogs, PR, social, stores
Competitors
scan, match, compare
LLM ops
llms.txt and update signals
Agentic GEO workflows
Your AI workspace can operate the visibility loop.
Ask an agent why rankings moved
Claude, Cursor, or your internal agent can call Zeover, pull the latest benchmark matrix, inspect citations, and explain what changed with live data.
Hand audit fixes to a coding workflow
A coding agent can read the failing metrics, inspect the affected page, generate schema or llms.txt changes, and prepare implementation notes.
Generate brand-locked content from agent chat
Your AI workspace can create blogs, press releases, social posts, store descriptions, and form answers from approved Zeover brand context.
Connection details Authenticated MCP
Endpoint
https://api.zeover.com/api/v1/mcp/sse
Header
Z-API-Key: YOUR_KEY
Transport
SSE
1
Add endpoint
2
Send key
3
Discover tools
Native MCP plus REST and Skills
Use the interface your agent understands.
MCP is the native agent protocol. The Zeover Skill gives promptable workflows to skill-aware clients. The REST API gives direct HTTP access for internal systems and data pipelines. Same Zeover context, three ways into the operating layer.
Where it plugs in
Bring GEO intelligence to the tools where agents already work.
Claude Code
Add Zeover as an SSE MCP server and let Claude call tools from your terminal workflow.
Claude Desktop
Bridge the SSE endpoint through the desktop config so brand intelligence is available inside chat.
Cursor
Put Zeover tools next to your codebase so implementation work starts from real audit and benchmark data.
Custom agents
Any MCP-aware framework can discover the same tool surface through the protocol handshake.
Enterprise-safe by design
The protocol is powerful because the access layer is explicit.
MCP access should not mean a free-for-all. Zeover keeps authentication, brand scope, tier gates, and admin visibility aligned with the dashboard and API surfaces.
API-key authenticated
Every MCP call is authenticated with your Zeover key. No key, no tools, no data.
Tier-aware tool list
The tool surface reflects what the account is entitled to use, matching the product gates.
Brand-scoped access
Keys can be scoped to a brand so an agent only sees the workspace it should operate on.
Admin tools filtered
Admin-only tools stay hidden from non-admin callers instead of relying on prompt discipline.
How the agent loop works
Connect once. Let agents operate the loop.
Add the Zeover SSE endpoint to an MCP-compatible client with your API key.
The agent calls tools/list and learns the Zeover tools your account can use.
It reads live GEO data, triggers work, generates content, and reports from real results.
Teams move fixes, content, and benchmark decisions through the tools they already use.
The agent interface for GEO
Connect Zeover to the AI stack your team already trusts.
Give agents the live brand, benchmark, audit, citation, and content tools they need to move AI visibility from dashboard insight to executed work.
