Use Case

Turn your coding agents into marketing agents

You already run agents in parallel — in Conductor, Cursor, or Claude Code — to build your product. Point them at marketing too. Add Rampify over MCP and the same agents research keywords, ship optimized pages, and fix SEO issues, with every change tracked. No new tool to adopt — just more value from the setup you already run.

Get Started See how it works

You already know how to do this

Give an agent a spec, it ships code. Give it a marketing spec, it ships an optimized page. Same loop — research, build, review, merge — pointed at growth instead of features. The only thing that changes is the domain.

A feature spec

Add CSV export to the dashboard

  • Add the CSV export endpoint
  • Wire up the download button
  • Write tests

A marketing spec

Ship the “rampify vs X” comparison page

  • Research the target keywords
  • Draft the page
  • Generate meta tags + schema
  • Add internal links
  • Scan for issues before publish
Done when it targets the keyword, the schema is valid, and it’s indexed.

Same structure — tasks, acceptance criteria, an agent that executes and commits, attribution back to the spec. Rampify writes the marketing spec, gives the agent real keyword and SEO data to work from, and records what shipped.

Marketing specs your agents can ship

Comparison page — “rampify vs [competitor]”, built from real keyword data
Programmatic SEO — a set of use-case landing pages from one keyword cluster
Content refresh — update stale posts against current Search Console data
Site-wide sweep — fix the missing meta and broken schema your crawl flagged
Launch kit — an optimized announcement post, a docs update, and schema

What it unlocks

Fan a keyword cluster out into a fleet of pages

Rampify clusters your keywords and drafts one marketing spec per target page. Your orchestrator runs an agent per spec in its own worktree — and a dozen optimized pages ship in parallel, each tracked back to its spec and its rankings. The parallelism you use for features, building your content moat.

Ship the feature and its launch content in one run

The pull request and the launch page, side by side. One agent builds the feature; another writes the optimized announcement, updates the docs, and adds schema. Both land on the same engagement timeline.

Keep the whole site optimized while you build

Point an agent at your latest crawl and it works the backlog — missing meta, broken schema, thin pages, weak internal links. A standing SEO pass that runs in the background while you focus on the product.

Run growth for every client from one place

Agencies: each client is a project with its own scoped key. Run parallel agents across clients — keyword research for one, a content refresh for another — with no risk of anything crossing wires.

The marketing toolkit your agents pick up

Connect Rampify and every agent you run gets these — real search data and SEO tooling, not guesses. This is what turns a coding agent into one that can actually do the marketing work.

Audit any page

Scan pages for SEO issues — missing meta tags, broken schema, slow response times, indexing problems. Get a full technical audit in seconds.

> Scan /blog/my-latest-post for SEO issues

Find site-wide issues

Crawl your entire site and get a prioritized list of SEO issues ranked by impact. Fix the ones that matter first.

> What SEO issues does my site have?

Track search performance

See which queries drive traffic, where you rank, and where the opportunities are. GSC data pulled directly into your conversation.

> Show me my search performance and ranking opportunities

Research keywords

Look up real search volumes, competition data, and trends. Get keyword suggestions based on what actually drives traffic in your space.

> Research keywords for "spec driven development"

Optimize content

Score your pages against target keywords. See exactly where to add keywords, improve density, and strengthen topical relevance.

> Optimize my homepage for "ai seo checker"

Generate meta & schema

Generate SEO-optimized meta tags and structured data from your actual page content — not hallucinated guesses.

> Generate schema markup for /pricing

Add it to the setup you already have

No new app, no new workflow. Rampify is an MCP server — connect it once and it shows up inside the agents you already run. Three ways in:

MCP

Works with any agent

Whatever runs your agents — an external CLI like Claude Code or Codex, or a tool's own model like Cursor's Composer — Rampify is an MCP server it can call. Its tools show up inside whatever the orchestrator runs.

Copy prompt

Works everywhere

Every spec page hands you a ready prompt to paste into any agent — no setup, no MCP required. The universal path that works with a tool we have never heard of.

Deep link

Conductor-native

For Conductor, one click opens a workspace in the right repo with the spec prompt already loaded. The tightest handoff — from a spec in Rampify to a working agent.

Conductor

Conductor, first-class

Conductor runs coding agents in parallel git worktrees on your Mac. Rampify wires straight into it, so a marketing spec becomes a working agent in one click.

Open in Conductor

On any spec, one click opens a Conductor workspace in the right repo with the task prompt already in the chat — pre-filled, ready to send.

Connect once, in Settings

Point Rampify at your local repo once per machine under Connect Conductor. After that, every spec has a live handoff — and the agent inherits Rampify’s MCP tools inside the workspace.

Works with your stack

Conductor, Cursor, Emdash, and Sculptor are the new agentic development environments — and because Rampify connects through MCP, it works with whatever agent each one drives, plus anything else that speaks the protocol.

Conductor

Conductor

Built in

Local Mac app. Runs agents in parallel git worktrees. First-class "Open in Conductor" handoff built in.

Emdash

Open-source, local. Runs many agents in parallel, each in its own git worktree, across ~27 agent CLIs.

Sculptor

Local Mac app by Imbue. Each agent runs in its own container; drives Claude Code and Codex.

Cursor

Agent-first IDE with its own Composer model and up to 8 parallel agents in git worktrees. Calls external MCP servers, so Rampify rides along as it builds.

Claude Code

The agent most of these tools drive under the hood. Add Rampify as an MCP server once and it rides along.

Codex

OpenAI’s coding agent connects to external MCP servers, Rampify included.

Running Claude Code, Cursor, VS Code or Windsurf directly? Rampify works there too — see the per-tool guides.

Put the agents you already run to work on growth

Add Rampify over MCP and turn your coding agents into marketing agents.

Get Started Free