How to Visualize Patent Filing Trends with AI
Visualize patent filing trends with AI with Patent Visual Analytics, turning a query into chart-ready filing and grant-rate data across two decades.
This workflow works in Claude, Claude Code, ChatGPT, or Codex when the selected client supports the required MCP connection. After connecting, the research steps and evidence boundaries are the same.
When you need to understand filing momentum in a therapeutic area or technology field, a single search count leaves the important patterns hidden. Patent researchers tracking market activity or field crowding need to see filing volume over time, grant-rate changes, and maturity signals at a glance — not just a total. An AI assistant or coding agent can help frame and interpret that kind of trend question, but it has no live connection to patent data or the analytics engine needed to generate a filing trend on its own.
Why this needs Patent Visual Analytics
The difference here isn’t just data access — it’s that the data arrives pre-aggregated into chart-ready time series, rather than raw records you’d have to bucket and count yourself. Patent Visual Analytics adds 24 visualization-oriented tools to your AI assistant or coding agent, covering trends, patent type, applicant concentration, and technology word clouds, each drawing on the same corpus behind Patsnap’s other tools: 210M+ patent records across 174 jurisdictions, updated on a rolling basis. Patsnap has built this kind of aggregation specifically for patent analytics since 2007, so the trend logic reflects that domain focus rather than a generic counting exercise applied to patent text.
Prepare your query
Decide on the technology or therapeutic area you want to track, and prepare a short descriptive query — a drug mechanism, a material type, or a specific process technology works best. For this walkthrough, the tested query is “semaglutide GLP-1 receptor agonist,” targeting a specific incretin-mimetic therapy used in diabetes and weight management, with the language parameter set to lang="en". Broad enough to catch variant formulations and delivery methods, specific enough to filter out unrelated filings — that balance is what makes a trend query useful.
Connect Patent Visual Analytics
https://connect.Patsnap.com/3fd502/mcp?apikey=yourapikey Replace yourapikey with your own Patsnap Open Platform API key before connecting. Keep the completed URL private. - Claude: add the remote MCP connection from Claude’s connector or integration settings.
- Claude Code: add the server as a remote HTTP MCP connection in your user or project configuration.
- ChatGPT: add the server through the supported connector or developer-mode MCP setup available to your workspace.
- Codex: add the server in Codex’s MCP configuration for the relevant local workspace.
The interface differs by client, but you use the same Patsnap connection URL and the same natural-language research prompt.
- Get a Patsnap Open Platform API key.
- Copy the connection URL or JSON config from the Connect panel on the Patent Visual Analytics page.
- Add the server to your AI assistant or coding agent or another MCP-compatible client, then restart it.
- Confirm the trend and visualization tools are available before you ask.
Run the trend query
Show me the filing trend for semaglutide GLP-1 receptor agonist patents.Claude recognizes the intent and calls trends(query_text="semaglutide GLP-1 receptor agonist", lang="en"), which retrieves application and grant counts across the available time window and returns a year-by-year table covering the past two decades.
What the trend tells you
The tested query returned a 20-year filing trend. Two of the reported data points show the shape of it:
Applications filed
Grant rate
These are the key anchor figures from the tool’s returned year-by-year table, not the full 20-year series — the actual output includes a data point for every year in between.
Applications rose from 11 in 2009 to a peak of 1,397 in 2021, while the grant rate fell from roughly 75 percent in 2011 to roughly 8 percent in 2025. Read together, that’s a fast-crowding, backlog-heavy field where examination throughput hasn’t kept pace with filing volume — useful context for a freedom-to-operate view or a competitive-positioning discussion, since a low grant rate can mean either tougher prior art or an office running behind on pending applications.
Go further with follow-up questions
From the base trend, without starting a new session, Ask your AI assistant or coding agent to:
- “Break down the 2021 peak by filing jurisdiction to see where most applications originated.”
- “Compare this trend to a broader GLP-1 query without the semaglutide term to measure the compound’s share of the category.”
- “Show the top applicants in this technology area and their filing distribution over the same period.”
Each follow-up builds on the same query foundation and pulls in another Patent Visual Analytics tool — Claude keeps the context, so you don’t need to re-enter parameters.
Frequently asked questions
What does “grant rate” mean in this context?
It’s the share of applications filed in a given year that have gone on to be granted, based on current prosecution status. A falling rate over recent years often reflects pending applications still in examination, not necessarily more rejections.
Does a declining grant rate mean the technology is harder to patent?
Not on its own. It can reflect a backlog at the patent office, tougher prior art in a crowded field, or simply that recent filings haven’t had time to clear examination yet. Check legal status on specific applications before drawing that conclusion.
Can I export this trend into a slide or report?
Yes. The result returns as a structured table An AI assistant or coding agent can summarize inline, or you can carry the year-by-year figures directly into a slide deck or strategy document.
Can Claude generate this trend without an MCP connection?
No. An AI assistant or coding agent can help frame the trend question and interpret the result, but it has no live connection to patent data or the analytics engine on its own — Patent Visual Analytics supplies that connection through MCP.
Can I use this workflow in Claude, Claude Code, ChatGPT, or Codex?
Yes, provided the selected client and workspace support the required MCP connection. Connect the same Patsnap server, then use the natural-language steps shown in this guide; interface details may differ by client.
Visualize a filing trend with AI
Connect Patent Visual Analytics and turn a query into a chart-ready trend.
