The full loop, inside your editor: find the buyer questions where AI cites competitors, pull a brief, let your agent write the page, gate it, and ship it. Plus an honest look at which vendors actually give you write access over MCP.
Yes. You can run GEO workflows from Cursor or Claude Code today by connecting a remote MCP server over Streamable HTTP. GEOHATS ships a 14-tool server that covers the full loop: find citation gaps, pull a page brief, save the page your agent writes, and publish to WordPress. Profound, Peec, Otterly and Semrush offer read-oriented MCP data access.
GEO work is code-adjacent by nature: a citation gap becomes a brief, a brief becomes an HTML page, the page ships through a repo or a CMS, and a tracker measures whether AI assistants start citing it. Every step in that chain is something a coding agent in Cursor or Claude Code already does well. The editor is where the loop closes fastest.
Three practical reasons this beats a web dashboard for anyone technical:
The pattern is new enough that searching "GEO from Cursor Claude Code" mostly surfaces vendor docs that stop at reporting. The catch: most AI visibility tools that added MCP in 2025 and 2026 treat it as a reporting channel. You can ask "what is my share of voice" from chat, which is useful, but the answer still ends with you leaving the editor to act. The difference that matters is read versus write scope, and we compare exactly that below.
The Model Context Protocol (MCP) is an open-source standard for connecting AI applications to external systems, tools and data. The official docs describe it as "a USB-C port for AI applications": one protocol, many tools, so a server built once works in every compatible client (Model Context Protocol, 2026). Anthropic open-sourced it in November 2024 (Anthropic, 2024), and it is now supported by Claude, ChatGPT, VS Code, Cursor and dozens of other clients.
Two transport details matter for GEO tools:
Both editors covered here support remote servers natively. Cursor reads an mcp.json file with a url plus optional auth headers (Cursor Docs, MCP, 2026). Claude Code adds one with a single command, claude mcp add --transport http <name> <url>, with an optional --header "Authorization: Bearer ..." flag (Claude Code Docs, MCP, 2026). If you can paste one URL and one token, you can connect.
GEOHATS exposes 14 tools over one Streamable HTTP endpoint, authenticated with a per-workspace bearer token you mint in the dashboard (Settings, Coding tools). Tokens are scoped: read (data only), draft (can save pages and track questions), and publish (can push live). A read token cannot spend your AI budget; a draft token cannot touch your live site.
Claude Code:
claude mcp add --transport http geohats https://app.geohats.com/api/mcp \
--header "Authorization: Bearer gh_mcp_your_token_here"Cursor (.cursor/mcp.json):
{
"mcpServers": {
"geohats": {
"url": "https://app.geohats.com/api/mcp",
"headers": { "Authorization": "Bearer gh_mcp_your_token_here" }
}
}
}Around that core loop sit the scale tools: queue_pages accepts up to 30 gaps and has GEOHATS build them server-side one at a time while you keep working (get_queue reports progress), and generate_questions plus track_questions grow the tracked question set from chat, with a deliberate two-step review so an agent never silently inflates your scan costs. get_visibility_score, list_assets and get_website_context round out the read side.
If you want the deeper background on why a tool should write pages instead of only scoring them, we covered the category shift in GEO tools that write the content, not just score it.
Paste this into Cursor or Claude Code after connecting the server. It runs one full gap-to-draft cycle and deliberately stops before anything goes live:
Use the geohats MCP server. Call list_websites, then list_gaps for my site.
Pick the gap with the highest buying intent and call get_prompt_brief for it.
Write a complete standalone HTML page from the brief:
- use the site's design tokens from the brief
- open with a 50-word direct answer to the buyer question
- include at least one comparison table and a 6-question FAQ
- cite 8+ real external sources with links; link 4 internal pages
- add Article + FAQPage JSON-LD with dateModified set to today
Save it with create_page_from_html. If the quality gate fails,
fix every listed issue and save again until it passes.
Do NOT publish. I will review the draft first.Two habits worth keeping from that prompt: always let the gate iterate (a first draft failing on "no external sources" is normal and fixable in one pass), and keep the human review step. You are the publisher of every claim on your site, and no gate replaces reading the page.
We verified each vendor's own documentation in August 2026. The short version: every major MCP offering except GEOHATS is read-oriented. They are genuinely useful as data layers, but the workflow still ends outside your editor. Details below the table, with sources.
| Vendor | Read tools | Write tools | Price gate for MCP |
|---|---|---|---|
| GEOHATS | Gaps, page briefs, visibility score, site context, full page HTML | Save agent-written pages, bulk-queue builds, track questions, publish to WordPress | All tiers, lifetime license from $49 one time |
| Otterly.AI | Brand reports, citations, GEO audits, recommendations | Prompt and tag management, audit triggers | Standard plan and up, $189 per month, 2,000 MCP requests |
| Peec AI | Mentions, share of voice, competitors, cited sources | None documented | All paid plans, no extra cost |
| Profound | Visibility, sentiment, citations, answers, bot analytics | None, explicitly read only | Included with subscription, see vendor |
| Semrush | Trends and Projects API data, including AI visibility | None, read-only methods | Requires an API subscription, see vendor |
Otterly.AI hosts its MCP server at data.otterly.ai/mcp with OAuth sign-in and roughly 20 tools spanning workspaces, brand reports and GEO audits. It goes slightly beyond pure reads: prompt and tag management plus on-demand audit triggers are available with write permission (Otterly Help Center, 2026). It cannot write or publish content. MCP and API access start on the Standard plan at $189 per month with 2,000 MCP requests, and engines like Claude and Gemini are paid add-ons (Otterly Pricing, 2026).
Peec AI runs a Streamable HTTP server at api.peec.ai/mcp with OAuth or personal access tokens, and documents setup for Claude Code, Cursor, VS Code and Windsurf (Peec Docs, MCP Setup, 2026). Peec frames it as a live data layer: brand mentions, share of voice and competitor movement queried from chat, included on all paid plans at no extra cost (Peec AI Blog, 2026). No content creation or publishing tools are documented.
Profound, the enterprise leader in the category, ships an MCP server at mcp.tryprofound.com/mcp with OAuth 2.1 (Profound Blog, 2026). Its capabilities page is unambiguous: "All tools are read-only. They retrieve analytics and reference data, but don't create, update, or delete anything in Profound" (Profound Docs, MCP Capabilities, 2026). Strong analytics depth, including bot crawl data, but acting on a gap remains manual.
Semrush extended its API into an official remote MCP server that pulls search, competitive and AI visibility data into Claude, Cursor and other clients. Access is tied to an API subscription (Standard via the SEO Business plan, or a Trends API plan), and the exposed Projects methods are read only (Semrush Developer Docs, 2026). It is an SEO-first data source with AI visibility bolted on, not a GEO workflow.
GEOHATS is the only tool in this set whose MCP server covers the write side of the loop: saving pages your agent wrote (gated, free, no run cost), bulk server-side builds, growing the tracked question set, and publishing to a connected WordPress site with explicit confirmation. Every tool is tenant-scoped to your own workspace token. Pricing is a one-time lifetime license starting at $49 on the current pricing ladder, with your own AI keys (BYOK) powering scans and builds. For how it stacks up as a monitoring tool too, see our 2026 GEO tools for SaaS roundup.
Yes. Connect a remote MCP server over Streamable HTTP with one command (Claude Code: claude mcp add --transport http) or one mcp.json entry (Cursor). With a read-oriented server (Profound, Peec, Otterly, Semrush) you can query visibility data from chat. With a write-capable server like GEOHATS, your agent can also pull gap briefs, save the pages it writes through a quality gate, and publish, so the entire GEO loop runs inside the editor.
Read-only servers answer questions: share of voice, citations, sentiment, crawler activity. Write-capable servers take actions: saving a page draft, queueing builds, tracking new questions, publishing. Profound states its tools "don't create, update, or delete anything"; Otterly allows prompt and tag management but not content; GEOHATS exposes the full write path. Read tools inform you, write tools close the loop.
No. If your site is a codebase (Next.js, Astro, anything you deploy yourself), the agent calls get_page to pull the final gated HTML and writes it into your repo as a file. You review the diff, commit, and deploy through your normal pipeline. No CMS connection and no publish scope are needed for that route; only WordPress publishing requires a connected CMS.
Only with guardrails, which is why scoped tokens exist. In GEOHATS a publish action needs a publish-scoped token, a page that passed the automated quality gate, and an explicit confirm flag from the agent. The safer default is a draft-scoped token: the agent can prepare everything and you press publish after reading the page. Whatever tool you use, treat publish credentials like production deploy keys.
It varies widely. Peec includes MCP on all paid plans at no extra cost. Otterly gates MCP behind its $189 per month Standard plan with 2,000 requests per month. Profound and Semrush include MCP with their respective subscriptions (Semrush requires an API-level plan). GEOHATS includes MCP on every tier of its one-time lifetime license, from $49, with usage running on your own AI keys.
For sites that live in a repo, yes, for a structural reason: the agent can read your actual components, styles, existing pages and internal link targets, so the output matches your site instead of a generic template. It also skips the copy-paste round trips that lose context. The brief still matters most, which is why the workflow starts from real scan data (which competitor pages are cited, for which question) rather than from a blank prompt.
GEOHATS tracks your buyer questions across five AI engines, finds where you lose, and gives your coding agent the tools to win the citation: briefs in, gated pages out.
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