What frameworks and CMSs does Rampify support?

All of them. Rampify analyzes websites at the HTTP level—we crawl your pages, check meta tags, validate schema, and integrate with Google Search Console. Your underlying framework doesn't matter. We've tested with Next.js, Astro, Remix, SvelteKit, Nuxt, Gatsby, WordPress, Webflow, Wix, Shopify, Squarespace, static HTML, Jekyll, Hugo, 11ty, and any hosting platform (Vercel, Netlify, AWS, etc.). If it's a website, we can analyze it.

Do you recommend specific technologies or have partnerships?

We're technology agnostic and work with any web stack. When we do make recommendations, they're context-aware and based on your site type, traffic, and goals—not vendor relationships. If we have sponsored partnerships with technology providers, we'll always disclose them transparently. We might suggest multiple options (e.g., "Astro for static blogs, Next.js for dynamic features, WordPress for visual editing") so you can choose what fits your needs. You're always in control of your technology choices. We believe in vendor flexibility, not lock-in.

What Is Rampify?

Rampify provides SEO Intelligence Inside Your IDE, a new way for developers to understand, fix, and optimize SEO without leaving their editor, empowering developers to optimize websites, in collaboration with marketers.

Instead of switching between dashboards, crawlers, and browser extensions, Rampify crawls your live site in the cloud, turns it into structured SEO intelligence, and makes that data available directly inside Cursor, VS Code, Claude Code, or any MCP-compatible IDE.

You get real page-level insights, metadata analysis, schema detection, internal link context, indexability signals, and issue summaries, all right where you write your code. This is particularly valuable when building custom coded websites with marketing pages, as opposed to using a CMS like WordPress or Webflow.

Why Rampify Exists#

Most SEO tools were built for marketers but most development workflows happen inside an IDE, creating a painful gap.

SEO issues are typically discovered after deployment, requiring developers to jump between multiple tools to investigate and fix them. Metadata gets written manually and inconsistently, crawlers run outside the development loop entirely, and AI coding assistants try to "guess" at SEO without any real context about your live site.

Rampify closes this gap by bringing live-site SEO intelligence directly into the developer workflow.

How Rampify Works (High-Level)#

Rampify is built around three simple ideas:

1. Crawl your live site (hosted HTTP-only crawler)#

Rampify runs a fast, cloud-based crawler built on axios + cheerio. It follows your sitemap (recommended), discovers pages through navigation when needed, collects structured SEO fields, and identifies issues and signals. Importantly, it does not execute JavaScript, making it faster and more predictable for SEO analysis.

Crawls happen on-demand (free tier) or automatically every 24 hours (paid plans).

2. Turn crawl results into structured SEO intelligence#

All extracted fields and signals are stored in a structured format to support cross-URL comparisons, issue analysis, internal link mapping, and indexability evaluation.

What Rampify Extracts & Stores

Metadata (title, description), canonical tags, robots directives, Open Graph tags, JSON-LD / microdata / RDFa structured data, headers, indexability signals, response codes, internal links, and content depth hints.

Rampify does not rewrite your content and does not make ranking predictions. Its job is to surface real data from your site — cleanly and consistently.

3. Bring SEO intelligence into your IDE#

Rampify uses the Model Context Protocol (MCP) to expose structured SEO data as tools your AI assistant can query. Think of it like RAG (Retrieval-Augmented Generation) but for SEO intelligence — instead of your AI guessing about your site's SEO health, it retrieves real data from Rampify's crawl results and Google Search Console, then uses that context to provide accurate recommendations.

When you ask "How's my SEO?" your AI calls get_page_seo() to fetch actual metadata, indexing status, and detected issues. When you ask "Generate meta tags for this page," it calls generate_meta() with real page content and SEO signals as context.

MCP tools available:

crawl_site() — Trigger fresh site analysis
get_page_seo() — Get real-time SEO data for any URL
generate_meta() — AI-generated titles/descriptions grounded in page data
generate_schema() — AI-generated JSON-LD based on page type
get_gsc_insights() — Content recommendations from search analytics

Architecture#

Rampify is a data layer, not an AI service. It crawls your site, extracts structured SEO fields, and exposes that data through MCP tools. Your IDE's AI assistant (Claude, GPT-4, etc.) calls these tools to retrieve real context, then generates recommendations or content based on actual data rather than assumptions.

What You Can Do With Rampify#

Instant SEO Analysis

Ask your AI assistant "How's the SEO on this page?" and get instant analysis of metadata, indexing status, schema markup, and detected issues — all from real crawl data, not guesses.

Context-Aware Metadata

Generate metadata that's actually grounded in your page content. Your AI calls generate_meta() with the page's real headers, content structure, and existing SEO signals as context.

Search Performance Insights

Get content recommendations from your actual search performance. The get_gsc_insights() tool surfaces high-opportunity queries where you're ranking but underperforming on CTR, or pages competing for the same keywords.

Schema Markup Generation

Generate valid JSON-LD structured data based on your actual page type and content. Your AI detects whether it's an article, product page, or FAQ, then generates appropriate schema.org markup grounded in real page data.

Who Rampify Is For#

Not Designed For

1.Non-technical WordPress/Webflow users

2.Teams that only use visual page builders

3.Content marketers without dev access

4.Sites managed entirely through CMS dashboards

Perfect For

1.Frontend & full-stack developers

2.Teams using Next.js, Remix, Nuxt, Astro

3.Developers using AI coding tools (Cursor, Claude Code)

4.Teams who want SEO built into their dev workflow

Summary#

Rampify delivers SEO intelligence inside your IDE by combining live-site crawling, Google Search Console integration, and structured data APIs. Your AI assistant queries real SEO context through MCP tools instead of guessing, by checking actual indexing status, analyzing real metadata, and generating recommendations grounded in your site's current state.

This isn't another SEO dashboard you switch to. It's SEO intelligence inside your IDE, available wherever you write code. Ask your AI assistant about SEO, and it retrieves real data. Generate metadata, and it's grounded in actual page content. Check indexability, and it pulls from Google Search Console.

The result: faster SEO workflows, fewer regressions, and AI-powered optimizations backed by deterministic data rather than assumptions.

Get Started#

Ready to Bring SEO Intelligence Into Your IDE?

Join developers using Rampify to optimize their sites with real-time SEO insights, AI-powered metadata generation, and Google Search Console integration — all without leaving their editor.

Join the Waitlist