Practical research for teams working with search visibility, SERP data and public-web intelligence.
We’re developing GeoRanker to make search and public web data easier to use, whether you’re analyzing a market, working on a client’s SEO, or building your own software.
The aim is to give people access to that data in a way that fits their work. An SEO specialist might start with a ranking report. A developer might bring the same type of information into an application through an API. A business team might need research around a specific market, while an AI assistant needs sources it can retrieve and interpret.
GeoRanker supports these different approaches through its web tools, APIs, custom data services, and AI integrations. Here’s what you can work with:
SEO tools and data APIs
- SEO Tools help you research keywords, monitor rankings, analyze competitors, and check local visibility. Use them to understand where your website appears in search, what your audience is looking for, and which opportunities deserve a closer look.
- SERP API brings search results into your own applications. Collect organic results, paid ads, and enriched search features by supported search engine, location, and device. Structured output lets you use the data in reports, dashboards, or software products.
- Keywords API provides keyword suggestions, search volumes, and advertising competition metrics. These can help you plan content, research a product category, or compare demand across markets.
- Web Scraping and Data Services collect, structure, and normalize public information for a project’s requirements. Applications include market research, monitoring offers, discovering businesses, and building custom datasets.
MCP integrations for AI assistants
- SEO & SERP MCP gives compatible AI assistants access to search results, ranking reports, keyword volumes, backlinks, page audits, and broken internal link checks. You can then ask the assistant to explain the findings, compare results, and help organize your priorities.
- Web Scraping MCP lets compatible AI assistants retrieve supported public pages as readable text or HTML for research and analysis. Both MCP integrations are part of GeoRanker’s Beta offering.
Put the data to work
You can combine these tools around the question you’re trying to answer. An agency could research keywords for a client, track visibility across several cities, and investigate pages that need improvement.
A company preparing to enter a new region could start with search demand, identify the businesses appearing in relevant results, and examine their public product pages and offers. Organizing that evidence into a market overview could help the team decide where to invest in content, investigate further, or approach potential partners. Custom Market Intelligence work can also connect collected data with questions about competitors, sales channels, and commercial priorities.
Build your own products
Developers can use GeoRanker as the data source behind their own products. That might mean adding a research feature to an existing application or building a client dashboard, monitoring tool, or specialized AI assistant.
Help shape what comes next
What users build with the platform matters to its development. An agency’s reporting service and an analyst’s recurring monitoring workflow may use similar data but solve different problems. Each reflects the team’s experience, its industry, and what its customers need.
We want those practical uses and the feedback they generate to help guide what we improve and build next. Our aim is to make it easier to move from a business question to the information needed to answer it, while giving users the tools to develop their own solutions.
Start with SEO Tools, or connect your AI assistant using SEO & SERP MCP and Web Scraping MCP.
