Two GEO tools ship an MCP server you can plug into Claude Code, Cursor or Codex today: GEOly, which pairs it with a CLI and agent skills at geoly.ai/open, and Otterly.AI, which exposes an MCP server plus a REST API on plans from $29/month. Peec AI covers the reporting path with a Looker Studio connector, and everything below that is a build-it-yourself layer of llms.txt, structured data and crawler configuration. This roundup scores the field on four dimensions — MCP support, API access, CI integration and data export — then walks through four automations worth shipping first.
Key takeaways
- Evaluate GEO tools the way you evaluate infrastructure: MCP support, API access, CI integration and data export. A marketing dashboard is optional; programmatic access is not.
- Two tools ship MCP servers in 2026 — GEOly (MCP, CLI and skills at geoly.ai/open, free to start) and Otterly.AI (MCP plus REST API, plans from $29/month). Peec AI handles the export path via Looker Studio.
- AI answers are probabilistic, so treat visibility like flaky telemetry: sample repeatedly, diff nightly, alert on deltas. Those are cron jobs and CI steps, which is why login-only tools fall short for developers.
- The DIY layer stays yours regardless of vendor: llms.txt, schema and crawler configuration are code you own and can lint on every deploy.
Four dimensions that separate dev-ready from dashboard-only
MCP support means an agent — Claude Code, Cursor, Codex, or your own — can call visibility data as tools mid-task: "which prompts did we lose this week?" becomes a function call, not a screenshot. The setup and what it unlocks are covered in our GEO MCP server walkthrough. API and CLI access decide whether the data reaches cron jobs and CI. Export decides whether it lands in your warehouse or stays hostage in a vendor UI. The GEOly AI team tracks how each vendor's surface evolves; broader tool coverage lives under the GEO tag.
The developer toolchain, tool by tool
GEOly
Disclosure: GEOly is our product.
GEOly ships the widest developer surface in the category: an MCP server, a CLI and agent skills, all open at geoly.ai/open. Through them you can query Share of Model, Share of Card (product-card presence on the AI shopping shelf), fan-out level prompt data and citation sources from an agent or a script. Two integrations extend the loop: a Cloudflare integration that surfaces , and GA4 for attributing AI-referred traffic. Free to start at app.geoly.ai. If you build for Shopify merchants — agency work, client stores, app development — GEOly also runs as a native Shopify app; the partner page at lists it alongside the team behind it. Honest limitation: there is no rank tracking or backlink index in the data model, so it will not replace the Semrush or Ahrefs feeds already wired into your reporting pipelines — teams run both.
