How to Connect LinkedIn Pages to ChatGPT (2 Steps, No Code)

The fastest way to see whether your LinkedIn Page followers and visitors match the audience you’re targeting is to connect it to ChatGPT with the Windsor.ai plugin, ask a question, get the breakdown by seniority, function, and industry, no exports.

LinkedIn publishes two plugins in ChatGPT: LinkedIn, which looks up professionals, and LinkedIn Ads (beta), which reads ad performance. Neither reads Company Page posts, followers or page views, so Page data goes through the Windsor.ai plugin. The ways to get Company Page data into ChatGPT are compared below.

Most B2B companies post on LinkedIn with a clear audience in mind: decision-makers, specific industries, and defined seniority levels. But one question usually goes unanswered: 👉 Is that audience following and visiting your page? You see impressions and likes. What you don’t see is who those people are. Are your followers VPs and Directors, or mostly irrelevant audiences?

LinkedIn’s native analytics don’t make this easy. Data is fragmented, limited, and hard to connect, so understanding whether your content matches your ICP often means manual reporting.

You can automate your LinkedIn pages reporting and analysis in ChatGPT through the Windsor.ai plugin.

With the Windsor.ai plugin for ChatGPT, your LinkedIn Page data (performance, audience, and engagement) is automatically aggregated and ready for AI analysis.

ChatGPT can also publish a new post to your connected Page from the same chat.

🚀 Connect LinkedIn Pages to ChatGPT with the Windsor.ai plugin. Start free → onboard.windsor.ai/app/linkedin_organic.

Watch: Connect LinkedIn to ChatGPT in under 60 seconds

Once connected, you can ask ChatGPT questions such as these.

• Which seniority levels and industries make up our followers, and does that match our target buyer?
• Which posts drive the most clicks for their impressions?
• Are we attracting followers from the industries we sell to?
• Which formats earn the highest engagement rate?
• How have our post impressions changed over time, and what caused the spikes?

The setup has two steps and takes about a minute.

Is there an official LinkedIn app for ChatGPT?

Yes, two, but neither covers Company Pages. LinkedIn publishes a LinkedIn plugin that looks up professionals and shows their title, company, location and follower count, and a LinkedIn Ads plugin, a beta with read-only access to ad set and ad performance. Neither reads your Company Page posts, followers or page views. These are the routes for Company Page data, and when each fits:

• LinkedIn’s own plugins: use LinkedIn Ads to read LinkedIn Ads results, and LinkedIn to look up professionals. For ads, our LinkedIn Ads to ChatGPT guide covers the Windsor.ai route, which can also pause campaigns and change budgets.
• Windsor.ai plugin: reads your Company Page posts, followers, follower demographics and page views when you ask, and can publish text, link and image posts after you confirm. Use it for ongoing questions, or to ask about LinkedIn Pages together with LinkedIn Ads, GA4 or a CRM in one chat. The steps below cover this route.
• Custom MCP server: some vendors offer LinkedIn MCP servers that you add yourself from Plugins in ChatGPT (no Developer mode needed). Full support, including write tools, is limited to Business, Enterprise and Edu workspaces; Pro gets read and fetch tools only.
• CSV export: LinkedIn lets Page admins export Page analytics as an XLS file per tab (Visitors, Content, Followers) for a chosen timeframe, which you can upload to a chat. It fits one question about a fixed period; the file does not update, and each tab is a separate export.
• Google Sheets or BigQuery: send LinkedIn Pages data to a sheet or a warehouse table on a schedule with Windsor.ai (LinkedIn Pages to Google Sheets, LinkedIn Pages to BigQuery), and point ChatGPT or a dashboard at that copy. It fits shared reports that keep their own history.

Connecting LinkedIn Organic to ChatGPT with the Windsor.ai plugin (1-min setup)

Windsor.ai’s plugin for ChatGPT connects your LinkedIn Pages data directly to the AI assistant. Install it once with a single click.

📖 Full documentation: windsor.ai/documentation/windsor-mcp/how-to-integrate-data-into-chatgpt/.

What you’ll need

• LinkedIn Company Page with a Page admin role. The Analyst role is enough to read analytics; to publish posts from ChatGPT you need the Super admin or Content admin role (LinkedIn Page admin roles).
• A Windsor.ai account (free or paid plan). The free forever plan covers 1 user, 1 data source and 1 account with the last 30 days of data, and needs no credit card. Paid plans start at $19/month for 3 sources and $99/month for 7, billed annually (pricing).
• ChatGPT account. We used ChatGPT’s Free plan for the steps and the example on this page. OpenAI says plugin availability depends on your plan, region and workspace, and in a Business, Enterprise or Edu workspace an admin can turn plugins on or off.

💡 Using Claude instead of ChatGPT? Follow our guide to connect LinkedIn Pages to Claude instead.

Step 1. Connect your LinkedIn data to Windsor.ai

Go to onboard.windsor.ai/app/linkedin_organic, connect LinkedIn Pages as your data source, and sign in with the account that manages your Company Page.

Choose one or multiple pages to analyze in ChatGPT. Tracking more than one account needs a paid plan. The free forever plan includes 1 account.

Windsor securely pulls your data via the LinkedIn API and prepares it for instant use in ChatGPT.

Step 2. Add the Windsor.ai plugin in ChatGPT

Open the Windsor.ai plugin page in ChatGPT and click Connect, or Install plugin if that is the button you see. Sign in to Windsor.ai and approve access to your Windsor account. You can also click Plugins in the ChatGPT sidebar and search for Windsor.ai; installed plugins are managed under Settings > Plugins.

Once the plugin is installed, create a new chat, click + and choose Windsor.ai (or type @Windsor), and run a quick sanity check with this test prompt:

What LinkedIn Pages are connected to Windsor.ai?
Show me impressions and follower count by page for the last 30 days.

If the data looks correct, you’re ready to move on to more advanced questions. ChatGPT pulls the data through Windsor.ai when you ask.

Example: the followers of our LinkedIn page by seniority and industry

We asked ChatGPT, through the Windsor.ai plugin on the Free plan:

For the LinkedIn page Windsor.ai, break down our followers by seniority level and industry.
What percentage are at Director level or above?
Which industries make up the top 5?

• Seniority: Senior (4,389) and Entry (3,701) are the two largest groups. Director level or above (Director, VP, CXO, Owner and Partner) is 1,759 followers, 16.6% of the 10,571 followers LinkedIn reports a seniority for. The page has 13,106 followers in total.
• Industries: Software Development (2,151) and IT Services and IT Consulting (1,972) lead, followed by Advertising Services (672), Technology, Information and Internet (655) and Business Consulting and Services (441).
• Check: we compared every count with the same follower fields pulled from Windsor.ai directly. Follower demographics are a snapshot of today, so this prompt works on the free forever plan.

190 LinkedIn data fields you can analyze in ChatGPT with Windsor

Windsor pulls 190 metrics and dimensions from the LinkedIn API (125 metrics, 65 dimensions). View the full list of supported LinkedIn Organic data fields.

Here are the most strategically useful fields, grouped by what they reveal about your page and your audience.

Content performance

• Impressions (share_impression_count): how many times a post was shown, your baseline distribution metric.
• Unique impressions (share_unique_impressions_count): deduplicated views, more accurate than raw impressions for understanding true audience size.
• Clicks (share_clicks_count): clicks on the post content, links, or company name, a sign of interest in the post.
• CTR (ctr): clicks divided by impressions, the ratio that tells you whether your content earns attention or just appears.
• Likes (share_like_count): likes on a post.
• Comments (share_comment_count): comments on a post.
• Reshares (share_count): reposts and re-shares, extends your content beyond existing followers.
• Engagement rate (share_engagement_rate): clicks, likes, comments and shares divided by impressions, the normalized quality metric across all your posts. share_total_engagements gives the same sum as a count.
• Post type (share_post_type): image, video, document, article, multi-image, poll or text, so you can compare formats. Post text (share_text) and publish time (share_published_time) come with each post, and video posts also have share_video_views.

Page-level metrics

• Page views (all_page_views): total visits to your Company Page, split by section (overview_page_views, jobs_page_views, people_page_views, careers_page_views, products_page_views, and more).
• Unique page views (all_unique_page_views): deduplicated page views, with repeat visits removed.
• Follower count (organization_follower_count): total followers today. For growth over time, use the daily gains below.
• Follower gains (followers_gain_organic, followers_gain_paid): new followers added per day, organic and from ads, which content or events drove growth.
• Custom button clicks (desktop_custom_button_click_counts, mobile_custom_button_click_counts): clicks on your CTA button (Visit Website, Contact Us, etc.), the closest equivalent to a conversion action on the Page.

Audience demographics

• Seniority (seniority_follower_type, seniority_follower_counts): Unpaid, Training, Entry, Senior, Manager, Director, VP, CXO, Partner, Owner. The ICP alignment check.
• Function (function_follower_type, function_follower_counts): job function categories: Marketing, Engineering, Sales, HR, Finance, Operations, etc.
• Industry (industry_follower_type, industry_follower_counts): the industry each follower works in, does it match the verticals you sell to?
• Company size (staff_follower_range, staff_follower_counts): follower breakdown by employer size: 1, 2 to 10, 11 to 50, 51 to 200, 201 to 500, 501 to 1,000, 1,001 to 5,000, 5,001 to 10,000, 10,001 or more.
• Region and country (region_follower_name, country_follower_name): geographic distribution of your follower base, useful for market focus and language decisions.
• Page visitors (page_seniority, page_function, page_industry with page_views_by_seniority, page_views_by_function, page_views_by_industry): the same breakdowns for the people who viewed your Page, as lifetime totals.

All demographic fields describe followers or Page visitors; the connector does not return the seniority or industry of the people who engaged with a specific post.

Prompts worth running: real questions for practical LinkedIn analysis in ChatGPT

Jumpstart your LinkedIn analysis with these ready-to-use prompts for ChatGPT, designed to quickly uncover what’s working, what’s not, and where to focus next. Prompts that cover more than 30 days need a paid plan. The free forever plan includes the last 30 days.

The audience analysis: are you reaching the right people?

This is the analysis LinkedIn’s native interface makes unnecessarily hard.

Your follower demographics and page visitor demographics are both available, but comparing them side-by-side, or checking whether they skew toward your ICP, requires jumping between views and doing the math manually.

Check if your followers match your ideal customer profile

Break down my LinkedIn followers by seniority level and industry.

What percentage are at Director level or above?

Which industries make up the top 5?

Compare who visits with who follows

Which seniority levels and job functions view our Company Page most?

Is there a gap between who follows us and who visits the page?

Spot the audience you’re not reaching

Based on my follower demographics, which industries or seniority levels are underrepresented compared to our target market?

What content shift might help reach them?

What content earns clicks

Impressions are easy to collect on LinkedIn. Clicks are harder.

A post shown 200 times that gets only 3 clicks has a CTR of 1.5%.

These prompts separate the two.

Find your highest-click posts

Which posts in the last 90 days drove the most clicks?

What do they have in common: format, topic, or length?

Calculate CTR by post type

Compare the click-through rate of my text posts, image posts, document posts, and video posts over the last 60 days.

Which format earns the most clicks per impression?

High impressions, low clicks: define what’s not converting

Which posts had more than 500 impressions but fewer than 10 clicks?

What do they have in common?

Why might they be getting seen but not acted on?

Reshares: what’s spreading beyond your followers

LinkedIn distributes content in two ways: directly to your followers, and via the activity of people who engage with your posts.

The connector has no separate organic and viral reach fields, so the closest signals are reshares (share_count) and unique impressions compared with your follower count.

Which posts broke out beyond your follower base

Compare unique impressions with our follower count for my posts in the last 30 days.

Which posts had the most unique impressions and reshares relative to our follower count?

Did they also get more comments or likes?

Follower growth: what’s driving your popularity?

Show me weekly follower growth over the last 3 months.

Which weeks had the biggest gains?

What was posted during those periods?

Page activity: who visits and what they look for

Most LinkedIn Page managers focus entirely on posts. But page visits, especially to specific sections like Careers, People, or Products, reveal how visitors are using your page as a reference point.

Which page sections get the most traffic

Break down my LinkedIn Page views by section (Overview, Jobs, People, Products) for the last 30 days.

Which section gets the most visits after our main feed?

Analyze CTA button performance

How many times has our custom CTA button been clicked in the last 30 days?

Has that number been growing or declining week over week?

From data to content plan

Once ChatGPT understands your LinkedIn performance patterns, it can do the strategic work: identifying gaps, suggesting formats, and building an engaging content plan grounded in what worked.

Surface your repeatable content formula

Analyze my top 10 posts by engagement rate over the last 90 days.

What topics, formats, and post lengths come up most often?

What should I replicate?

Spot what your engaged audience wants more of

Based on comment and like counts, what topics generate the most engagement on our page?

Are there any specific theme or posting patterns?

Build a data-driven content plan

Based on my best-performing content, suggest a 2-week LinkedIn content plan.

Include format, topic, text, and design concept for each post.

Publish directly from the chat

Once ChatGPT has surfaced what works, you don’t need to switch tabs to act on it. Through Windsor.ai, ChatGPT can publish a text or link post, or a single image post, to your connected Page. It shows you the exact post first and publishes only after you confirm. The available actions are in the write actions list, and more prompts and the two most common publishing errors are in publish to your LinkedIn Company Page with AI Assistant.

Draft and publish a new post

Draft a LinkedIn post recapping our top 3 posts by engagement this month, written in a similar tone. Once I approve it, publish it directly to our Page.

Analyze LinkedIn Organic insights alongside the rest of your marketing stack

LinkedIn data answers what’s happening on the platform. However, deeper insights that connect content performance to business outcomes need data from outside LinkedIn.

🔌 Windsor.ai lets you combine LinkedIn Company Pages data with key metrics from 350+ other platforms for cross-channel analysis. Connect all your data sources once, and query everything directly in ChatGPT through the same Windsor.ai plugin.

Here are some useful data blending scenarios you can try. Combining sources needs a paid plan. The free forever plan includes 1 data source.

• LinkedIn Pages + LinkedIn Ads: Your organic content and paid campaigns most likely are targeted towards the same professional audience. Connect both and ask ChatGPT: do your followers match the seniority levels your ads reach? Are there post topics that perform well organically that haven’t been tested as sponsored content?
• LinkedIn Pages + GA4: LinkedIn clicks land on your website. GA4 tracks what those visitors do next. Connect both and ask ChatGPT: how many website sessions came from LinkedIn in the weeks you posted most, and did those sessions convert? Is LinkedIn traffic high-intent or mostly curiosity clicks?
• LinkedIn Pages + HubSpot or Salesforce: For B2B teams using LinkedIn as a top-of-funnel channel, the most valuable question is whether organic LinkedIn engagement correlates with pipeline activity. Connect your CRM alongside LinkedIn Pages and ask ChatGPT: do weeks with high LinkedIn engagement see increased inbound lead volume?

If something does not work

• Your Company Page is missing in Windsor.ai: the LinkedIn account you signed in with has no Page admin role on it. Ask a Super admin to add you (Analyst is enough for analytics), then connect again.
• ChatGPT answers without your LinkedIn data: choose Windsor.ai under + or type @Windsor in that chat, then ask again.
• Windsor.ai is not available in your workspace: a Business, Enterprise or Edu admin can turn plugins off. Ask them to enable Windsor.ai.
• A question over a long period fails: LinkedIn rejected requests longer than 12 months in our tests. Ask for 12 months or less, or split the period into two questions. On the free forever plan, ask about the last 30 days.
• An image post fails: the image URL must be a public file that opens without a login. Links from a private drive or a ChatGPT file library fail.
• A post is rejected as a duplicate: LinkedIn rejects the same text and link posted twice in a short time. Change the text or the link.
• Seniority shares do not add up to your follower count: LinkedIn reports a seniority only for part of your followers (10,571 of our 13,106), so ask ChatGPT to say which total a percentage uses.

Conclusion

LinkedIn gives B2B companies access to a highly targeted, professional audience. With your Company Page connected through the Windsor.ai plugin, you can ask ChatGPT who follows and visits your page, which posts earn clicks, and draft and publish the next post in the same chat.

The short version of this setup, with a second example, is on the LinkedIn Pages to ChatGPT integration page. For publishing prompts, see publish to your LinkedIn Company Page with AI Assistant, and for paid results, how to connect LinkedIn Ads to ChatGPT.

🚀 Connect LinkedIn Pages to ChatGPT in about a minute and start making data-driven content optimization decisions. Try it for free now.