Jan + Answer Socrates
Add Answer Socrates to Jan and do your SEO research with a model running on your own machine. Ask in plain English and your model pulls real Google data: hundreds of real searches for any keyword, 12 months of Google Trends and the searches rising right now. Then it groups the lot into a content plan.
Last updated: October 2026
Add Answer Socrates to Jan as a remote MCP server and sign in with your Answer Socrates account. There is no key to paste: Jan handles the sign-in for you.
Make sure you have an Answer Socrates account on Seneca or above. You sign in with that account, so there is no key to copy.
In Jan, open Settings, then MCP Servers, and click + Add MCP Server. Set Transport to HTTP, which is Streamable HTTP.
Paste this into Command / URL, then toggle the server on:
https://answersocrates.com/api/mcpOn the server's Auth line, click Sign in and approve Answer Socrates in your browser. The server shows a green indicator once it is active.
Pick a model that shows the tools capability and ask your first question in plain English, for example: Use Answer Socrates to pull the keywords for cycling. Jan asks you to approve each tool call in the chat.
Jan keeps the sign-in tokens in mcp_oauth.json in its data folder, separate from your server config. Jan runs models on your own machine, so results depend on how well your model uses tools. A larger model with tool support does best.
Ask Jan for keywords on its own and your model guesses from what it learned in training. With Answer Socrates connected it pulls what people actually type into Google: hundreds of real search phrases per keyword, sorted into four groups.
How, what, why, can: the questions people ask about your topic, ready for FAQs and blog posts.
For, with, without, near: the qualifiers that show what people actually want.
Vs, or, like, and: the head-to-head searches that sit right before a buying decision.
The full a to z list of Google suggestions for your keyword.
What a keyword pull returns, from a real Answer Socrates session:
get_keywordssave_to_project
1,187 keywords for creatine gummies: 160 Questions (“are creatine gummies as effective as powder” asked five different ways: pure format skepticism), 166 Comparisons, 81 Prepositions, 30 time-based and 750 autocomplete phrases.
Saved to Supplements. Your team can see the full list in the app now. Want them as a CSV too? That's free.
Planning videos? Ask for the YouTube version and Jan pulls what people type into YouTube's own search box, sorted into the same four groups. YouTube searches lean towards tutorials, reviews and how-tos, so the list is different from Google's.
get_youtube_keywords
Here are the YouTube searches for road bike maintenance, grouped into Questions, Prepositions, Comparisons and Autocomplete, with the how-to questions up top. Want the Google version too?
Name a market and Jan maps it: what is climbing, what is seasonal and what is fading, from 12 months of Google Trends data in any country. Rising searches adds the related searches growing fastest right now.
Weekly Google Trends interest for any keyword across the last 12 months, in any country.
See when a keyword peaks and when it dips, so your content is live before the rush.
Run the same keyword in the UK, the US or any other country and chart them side by side.
Compare 10 or more keywords at once to see which are climbing and which are fading.
The related searches growing fastest right now, including brand-new Breakouts.
Ask Jan to chart it, table it or export it. Reworking data it already pulled costs nothing.
And much more. Ask in plain English and Jan picks the right tools, like this comparison of one keyword in two countries:
get_rising_topicsget_trends ×12
Over the last 12 months, the big movers are clear whey +190%, creatine gummies +94% (a real format shift, not hype), electrolytes +63% and magnesium glycinate +62%. Classic whey is resurging (+64%) while ashwagandha is the only decliner (−5%). That trend has peaked.
In the rising searches, Nutricost whey is up +1,850% and two brands hit Breakout. Almost everything peaks in April, so publish by March to catch the crest. Want me to pull the full keyword set for creatine gummies? (1 request)
Use the list Jan just pulled, or paste in a list of your own. Answer Socrates groups it into topics and labels every keyword with search intent and funnel stage, so you know what to write first. Clustering is paid in cluster credits, 1 per keyword, not requests.
cluster_keywords
931 keywords into 18 topics. The biggest is what keyword research is at 206 keywords, almost all top-of-funnel. The money is elsewhere: free keyword research tools (144) and paid tools and pricing (72) are both commercial and mid-funnel.
Only 13% didn't fit a topic. Want me to list any cluster in full, or export the lot as a CSV?
Jan is great at running open models privately on your own machine. What it lacks is live search data, and that is the part Answer Socrates adds.
| Task | Jan alone | With Answer Socrates |
|---|---|---|
| Keyword ideas | Guesses from training data | Hundreds of real Google searches per keyword |
| Questions people ask | Plausible-sounding questions | Real questions from Google autocomplete |
| Search trends | No Google Trends data | 12 months of Google Trends, any country |
| What's rising now | No live Google search data | Google's rising searches, Breakouts included |
| Clustering | Groups whatever you paste | Topics, intent and funnel stage for every keyword |
| Saving the work | Stays in the chat | Saved to your projects for the whole team |
Anything you would ask an SEO on your team. Name the topic, the market and what you want back, and your model can lay the results out as tables you can copy.
Keyword research
“Use Answer Socrates to pull the keywords for cycling and show me the questions first.”
Content plan
“Find what's rising in cycling, pull keywords for the top three topics and cluster them into a content plan.”
Trends
“Compare interest in gravel bikes, e-bikes and road bikes over the last 12 months. Which one is growing?”
Your website
“Here is the copy from my homepage. Do keyword research for the topics it covers.”
Search intent
“Group these bike shop keywords by topic and tell me which ones are commercial.”
Export
“Cluster the questions and give me the plan as a CSV I can paste into a spreadsheet.”
That is a different job, on the same account. This page is about using Jan to do your SEO. To find out whether AI assistants recommend your brand, the LLM Brand Tracker runs your prompts across ChatGPT, Claude, Perplexity, Gemini and more, and shows who gets mentioned.
Track your brand in AI searchConnecting is free. The data comes from your Answer Socrates plan, where every plan includes 3 requests a month to try it and Seneca and above include the full allowances. Your plan has two separate allowances:
1 request per data call: rising topics, Google Trends or a full keyword pull. Checking your usage, saving to projects and exports are free.
1 credit per keyword you cluster, 10 to 1,000 keywords per call. These are the same cluster credits as the clustering tool in the app, and clustering never spends requests.
| Plan | Requests | Cluster credits |
|---|---|---|
| Free | 3 /mo | ✕ |
| Lite | 3 /mo | ✕ |
| Seneca | 500 /mo | 12,000 /mo |
| Aurelius | 2,500 /mo | 40,000 /mo |
| Senate | 25,000 /mo | 100,000 /mo |
Free and Lite include 3 requests a month to try it, renewed on the 1st, with no clustering through MCP. Yearly plans get 12 months of both allowances up front. Team plans share one pool across all seats.
See plansSame account, same tools. Answer Socrates works in any assistant that supports MCP.