Self-hosted alternatives to keyword-research
5 self-hosted AI Skills apps to use instead, best rated first.
Top picks
- C

claude-to-deerflow
Launchclaude-to-deerflow is an agent skill that lets an assistant send messages and questions to a running DeerFlow instance through its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code
Self-hosted
- O

open-notebook
Launchopen-notebook is an agent skill for organising research with Open Notebook, a self-hosted alternative to NotebookLM. It arranges sources, notes and AI conversations into research notebooks. Sources can be PDFs, web pages, audio, video and O
Self-hosted
- R

Reactive Resume
LaunchReactive Resume is a free and open-source resume builder for writing resumes and cover letters, checking the work, and tracking job applications. You create a free account, import an existing resume or start from scratch, and see the finish
Open sourceSelf-hosted
- S

self-hosted-funnel-launch
LaunchSelf-hosted funnel launch is an agent skill that takes a funnel from an empty install to published on infrastructure you control, using the Autonnel funnel builder, which is licensed Apache-2.0. The result covers a landing page, checkout, a
Self-hosted
- G

get-convex/convex-backend
LaunchConvex is an open-source reactive database for web app developers. It combines a database, a place to write server functions in pure TypeScript, and client libraries that keep the app's data live, so screens update as the data changes. Beca
Self-hosted
About keyword-research

keyword-research
Discover keyword opportunities, evaluate metrics and SERPs
Keyword research is an agent skill that turns seed topics into a prioritized set of keyword opportunities. You give it one or more seed topics, products, pages, competitors or audience problems, and it uses OpenSEO's data through MCP tools to evaluate the keywords' metrics and the search results pages behind them. The output is meant to help you decide what to target, which terms to save, and what to research next. Promising terms can be saved and tagged in OpenSEO for later use, which lets the other OpenSEO skills pick them up. The required input is an OpenSEO project ID. If you do not have one, the skill first lists your projects. You can add a market, location or language, and if that choice would materially change the keyword metrics and it is unclear, the skill asks you rather than guessing. Otherwise it uses the default settings of the MCP tools. The skill draws on the project-context tools shared with the app and other agents. It is published by every-app on skills.sh under the open-seo repository, which has about 23.6K stars. Its security audits show Gen Agent Trust Hub: Pass, Socket: Pass and Snyk: Pass. It is for marketers and content teams who want a shortlist of terms to pursue, with the evidence behind each one.
- Price
- Free
- Made by
- every-app
- Category
- AI Skills
- Website
- github.com/every-app/open-seo/keyword-research