Windsor MCP for Organic Content Strategy: Better Topics, Content Planning, and Posting Times

Windsor MCP changes that by connecting your content data directly to Claude, ChatGPT, and other AI tools.

You can analyze each platform individually or combine multiple sources together. Ask which Instagram posts generated the most engagement, which YouTube videos drove the most subscribers, which Google Search Console keywords are growing, or which content themes perform best across all channels.

🚀 Start your free 30-day trial of Windsor MCP and turn your content data into better ideas, smarter content plans, and stronger engagement using the power of AI.

How Windsor connects your content data to AI

Windsor MCP connects your cross-channel content data to AI in just a few steps, making it easy to turn raw performance metrics into winning content ideas and audience insights.

1. Connect your channels to Windsor

Connect Instagram, TikTok, YouTube, Facebook Pages, LinkedIn Pages, Google Search Console, WordPress, X, and other platforms you use to Windsor in just a few minutes. No code required.

2. Connect Windsor MCP to your preferred AI tool

Connect your Windsor data to Claude, ChatGPT, or another AI tool through Windsor MCP. Setup varies by platform and may use a native connector or MCP server configuration.

3. Ask content strategy questions

Ask AI ot help you identify top-performing topics, compare content formats, recommend posting times, uncover audience trends, spot content gaps, and build your next content plan based on real performance data.

10 ways to use AI for content strategy (with prompts)

Analyze my [Instagram Insights] data for the last 90 days.

Identify my top 10 posts by engagement rate, calculated as likes + comments + saves divided by reach.

For each top post, include:
- Post type
- Estimated topic or theme
- Posting day and time
- Engagement rate

Then analyze the patterns across those posts.

Answer:
- What formats perform best?
- Which topics appear most often?
- Are there common posting days or times?
- What makes these posts different from the bottom 10 posts by engagement rate?

Finish with a 10-point summary of the factors driving high engagement on this account.

Analyze my [Instagram] data for the last 90 days.

Compare posts based on:
- Saves per impression
- Shares per impression
- Comments per impression
- Likes per impression

Identify posts that rank highly on saves or shares but not on likes.

Then explain:
- Which content topics generate the strongest interest
- Which posts people return to later
- Which content sparks conversation
- Which posts may be more valuable than their like count suggests

Analyze my [TikTok Organic/YouTube] data for the last 60 days and include all videos with more than 200 views.

For each video, include:
- Views
- Likes
- Average watch time
- Full video watched rate
- Shares
- Followers gained

Then identify:
- Which videos have the highest retention rates
- What those videos have in common in terms of length, opening hook, or topic
- Which videos got high views but poor retention
- Which videos may have had a strong thumbnail or hook but weak content delivery (low watch time)

Then use these patterns to create a content plan for the next 10 videos, including suggested topics, hook ideas, and ideal video length.

Build an audience profile using my connected social media data.

Use [Data Sources]:
- TikTok Organic
- Instagram Insights
- YouTube Analytics

Show this data per every platform:
- Audience age breakdown
- Gender split
- Top countries and cities of followers

Then analyze:
- Where these audiences overlap
- Where they differ significantly
- Whether my content reaches a consistent audience across platforms
- Which platforms attract different audience segments

Analyze my LinkedIn Pages data for the last 90 days.

Break down followers and post engagement by:
- Seniority level
- Job function
- Industry
- Company size

Then answer:
- Is my content reaching the right type of audience?
- Are the people engaging with my posts aligned with our intended B2B audience [describe it]?
- Which content topics or post formats attract the highest-value audience segments?
- Which posts attract senior leaders, managers, or decision-makers?

Analyze when my audience is most active across [Instagram and TikTok].

From TikTok Organic, show:
- Peak activity hours by day of week

From Instagram Insights, show:
- Follower activity by hour of day
- Peak days of the week

Then answer:
- What are the best times to post on each platform?
- Do the peak activity windows overlap across platforms?
- Am I currently posting when my audience is most active?
- Are there missed opportunities to improve timing and engagement?

Based on my [Instagram and TikTok Organic] performance data from the last 90 days:

1. Identify the 5 content themes that generate the highest average engagement rate across both platforms.
2. Identify the 2 content formats that consistently outperform on each platform.
3. Identify the best days and times to post based on audience activity data.

Then use these insights to create a 30-day content calendar for next month.

For each week, suggest:
- 3 Instagram post ideas with format and theme
- 5 Instagram Reels ideas
- 3 TikTok video ideas with topic and hook direction
- Cross-platform repurposing opportunities
- Recommended posting days and times (create an editorial calendar)

Analyze my [Instagram Insights and LinkedIn Pages] data for the last 3 months.

Identify:
- Which content topics I post about most often
- Which topics related to my brand have been rarely used
- Which low-frequency topics performed significantly above average

Then find 5 underused topics where I have posted fewer than 3 times, but the content performed better than my average engagement rate.

Explain why these topics may deserve more attention in future content plans and suggest 5 post ideas based on them.

Analyze my [Facebook Organic and Instagram] performance data for the last 90 days.

Look at the relationship between posting frequency and engagement rate.

Then answer:
- Does posting more often improve or reduce engagement per post?
- Is there a point where engagement starts to decline because of audience fatigue?
- What is the ideal number of posts or videos per week for each platform?

Finish with a recommended posting schedule for these platforms based on the data.

4. Format strategy: which content types perform best

The challenge:

Every platform supports different content formats: carousels, Reels, Stories, static posts, Shorts, long-form videos, text posts, and more.

The problem is that what works well for one brand or platform does not always work for another. Generic benchmarks can be helpful, but they do not tell you what your own audience prefers.

This use case helps you understand which formats drive the most reach, engagement, saves, shares, watch time, and followers for your specific account.

Best for:

• Content teams
• Brand managers
• Teams deciding where to invest creative effort

Prompt: Compare Instagram content formats

Analyze my Instagram Insights data for the last 3 months.

Compare performance across these content formats:
- Static image posts
- Carousel posts
- Reels

For each format, calculate:
- Average reach per post
- Average engagement rate
- Average saves per post
- Average shares per post

Then answer:
- Which format delivers the strongest reach?
- Which format drives the most saves and shares?
- Which format creates the highest engagement rate?
- Is there a format I should produce more often based on its performance?

Prompt: Compare YouTube Shorts vs. long-form videos

Analyze my YouTube Analytics data for the last 3 months.

Separate my videos into two groups:
- Shorts under 180 seconds
- Long-form videos over 3 minutes

For each group, compare:
- Average views
- Average click-through rate
- Average retention rate
- Subscribers gained per video

Then answer:
- Which format is growing my channel faster?
- Which format has stronger retention?
- Which format is generating more subscribers?
- Should I invest more heavily in Shorts or long-form content?

Prompt: Compare Facebook Reels, videos, and images

Analyze my Facebook Pages data for the last 90 days.

Compare performance across:
- Image posts
- Standard videos
- Reels

For each format, include:
- Total reach
- Engagement rate
- Shares
- Average watch time for video content

Then answer:
- Are Reels driving significantly more reach than other formats?
- What percentage of my total reach comes from Reels?
- Which content type performs best overall?
- Which formats should I prioritize more often?

What you get:

A clear view of which content formats deliver the strongest results, so you can invest more time and budget into the formats your audience responds to best.

Analyze my YouTube Analytics data for the last 90 days.

Show me the four metrics that most directly explain channel growth:
1. Average click-through rate from impressions
2. Average retention rate
3. Subscribers gained vs. subscribers lost
4. Top traffic sources by views

Then answer:
- Which metric is the weakest?
- Which metric is limiting channel growth the most?
- How do these numbers compare to high-performing channels?
- What should I prioritize improving first?

Analyze my YouTube Analytics data for the last 6 months for all videos with more than 500 impressions.

Identify:
- Videos with a click-through rate above 6% but retention below 40%
- Videos with a click-through rate below 3% but retention above 60%

Then explain:
- Which videos may have strong thumbnails or titles (high views) but weak content delivery (low watch time)
- Which videos may have great content (high watch time) but weak thumbnails or titles (low views)
- Which videos need stronger openings or pacing

Analyze my YouTube Analytics data for the last 90 days.

Break down views, watch time, and subscribers gained by traffic source, including:
- Browse features
- YouTube search
- Suggested videos
- External traffic

Then answer:
- Which traffic source drives the most subscriber growth?
- Which traffic source drives the highest watch time?
- Is my channel growing more from search, recommendations, or external traffic?
- Should I focus more on search-based topics or highly shareable content?

Analyze my YouTube video performance over the last 6 months based on video titles and topics.

Identify:
- Which topic clusters generate the most watch time
- Which topics have the highest retention rates
- Which topics consistently attract subscribers
- Which successful topics only have one or two videos and may deserve a larger series

Then recommend the top 3 topic clusters I should turn into a repeatable YouTube series.

Analyze my Google Search Console data for the last 90 days.

Show all search queries where:
- Average position is between 4 and 15
- Impressions are above 20

Sort the results by impressions in descending order.

Then identify:
- Which keywords have the highest search demand
- Which keywords have a lower-than-expected click-through rate for their ranking position
- Which pages may need a stronger title tag or meta description
- Which keywords are closest to reaching page one

Compare my Google Search Console performance for the last 90 days with the same period 12 months ago.

Identify pages that have lost more than 30% of their click volume year over year.

For each page, include:
- Current average position
- Current click-through rate
- Main search query driving traffic
- Change in clicks compared to last year

Then explain:
- Which pages are likely declining because of outdated content
- Which pages should be refreshed first
- Which pages may need stronger titles, internal links, or new sections

Connect my [WordPress] data with my Google Search Console data.

For each blog post published in the last 12 months, identify:
- Whether it appears in Google Search Console
- Whether it is receiving impressions or clicks
- Whether it has gained traction after 60 days

Then answer:
- Which posts have no search visibility and may target low-demand topics
- Which posts may have indexing or internal linking issues
- Which older posts still receive strong impressions and should be refreshed
- Which topics deserve more supporting content

Analyze my Google Search Console data for all search queries related to "[keyword topic]".

For each query, include:
- Impressions
- Clicks
- Click-through rate
- Average position

Then group related queries into semantic clusters.

Based on the strongest cluster where I do not currently rank above position 15, generate a blog content brief that includes:
- Suggested article title
- Primary keyword
- Secondary keywords
- Suggested H2 structure
- Recommended word count

💡  Google Search Console shows you demand that already exists. WordPress shows you the content you have already produced. Connecting both reveals the gap: the searches you are missing and the existing content worth updating.

Analyze my [TikTok Organic] data for the last 90 days.

For each video, include:
- Views
- New followers gained
- New followers per 1,000 views

Then rank the videos by followers gained per 1,000 views.

After that, identify:
- Which topics generate the most new followers
- Which video lengths perform best for follower growth
- Which hook styles appear most often in follower-generating videos
- Whether the highest-view videos are also the strongest for follower growth
- Which content patterns are most likely to convert viewers into followers

Analyze my [Instagram Insights] data for the last 6 months.

Identify the weeks when follower growth was above average.

Then analyze:
- Which content formats were published during those weeks
- Which topics or themes appeared most often
- Whether certain formats, such as Reels or carousels, are linked to faster follower growth

Then compare this to weeks with flat or negative follower growth.

Identify:
- Which content patterns may be associated with slower growth
- Which types of posts may contribute to unfollows or audience stagnation

Analyze my YouTube Analytics data for the last 6 months.

Rank my videos by subscribers gained per 1,000 views.

Then identify:
- Which videos are most efficient at converting viewers into subscribers
- Which topics drive the highest subscriber conversion
- Whether subscriber growth is linked to high retention rates
- Whether some videos generate subscribers despite average retention
- What these patterns suggest about what new viewers find compelling enough to subscribe

Analyze my content performance data across all connected channels for the last 30 days.

For each platform, identify the top 3 posts by engagement rate.

For each top post, include:
- Content format
- Main topic
- Main reason it performed well
- Whether it succeeded because of reach, saves, shares, retention, or comments

Then identify:
- Which high-performing posts could be adapted to another platform
- Which content formats have natural equivalents on other channels
- Which posts could become a video, carousel, blog article, LinkedIn post, or email

Finish with 5 specific repurposing recommendations, including:
- Original platform
- Original content type
- New platform
- Suggested new format
- Reason why the content should work well there

Analyze my [Instagram Insights and LinkedIn Pages] data.

Identify posts that were published more than 3 months ago but still generate strong engagement relative to their reach.

For each evergreen post, include:
- Topic
- Format
- Engagement rate
- Date published

Then answer:
- Which topics continue to perform well over time
- Which evergreen posts could be reposted or refreshed
- Which posts could be turned into other formats or adapted for different platforms
- Which evergreen themes deserve to become recurring content series

Analyze my LinkedIn Pages data for the last 6 months.

Rank all posts by engagement rate, calculated as reactions + comments + shares divided by impressions.

For the top 10 posts, identify:
- Main topic or content angle
- Content type
- Number of comments
- Number of shares
- Engagement rate

Then answer:
- Which topics perform best?
- Which content types generate the most engagement?
- Which posts generate the most comments and conversation?
- What patterns separate posts with strong comments from posts that only get reactions?
- Which content angles appear most often in the highest-performing posts?

Based on my LinkedIn Pages performance data from the last 90 days:
1. Identify the 3 topic clusters with the highest average engagement rate.
2. Identify the 2 post formats with the strongest average engagement rate.
3. Identify the days of the week when my posts earn the most impressions and engagement.

Then create a LinkedIn content plan for next month with:
- 3 posts per week
- Topic for each post
- Recommended format
- Suggested hook or content angle

Connect my Instagram Insights data with my Meta Ads data.

Identify posts that were boosted or used as paid ad creatives.

For those posts, compare:
- Organic engagement before promotion
- Organic engagement after promotion
- Reach before promotion
- Reach after promotion

Then answer:
- Did paid promotion improve organic engagement?
- Did paid promotion create more social proof through likes, comments, or shares?
- Which promoted posts also performed strongly without paid support?
- Which organic-only posts may deserve paid promotion because of strong performance?

Connect my LinkedIn Pages data with my LinkedIn Ads data.

Compare:
- The seniority and job function of people engaging with my organic content
- The seniority and job function of people clicking on my paid ads

Then answer:
- Is there a large overlap between my organic and paid audiences?
- Am I paying to reach people I already reach organically?
- Does paid help me reach new audience segments?
- Are there specific seniority levels or job functions that paid reaches more effectively than organic?

Getting more from your AI content analysis: Pro tips

Ask for outputs in the format your workflow needs

Claude and ChatGPT can produce content strategy outputs in any format you specify.

Add these rules to the end of any prompt:

"...Present this as a content calendar table with columns:
Week | Platform | Format | Topic | Hook direction | Goal (engagement / reach / followers)"

"...Format this as a creative brief document I can share with a designer or video editor"

"...Give me the top 5 insights as a bullet list I can paste into a Slack message to my team"

"...Write the analysis as a 3-paragraph narrative for a strategy presentation"

Use Claude for interpretation; ask it to go deeper

Claude is particularly strong at reasoning through qualitative patterns.

When you get a performance table, follow up with questions that push beyond the surface:

- "Why do you think the carousel format outperforms video on this account?"
- "What does the gap between reach and engagement suggest about audience quality?"
- "If I could only change one thing about my content strategy based on this data, what would it be?"

Cross-channel questions are the most powerful

The use cases above mostly focus on individual channels. The most strategic questions involve multiple sources.

Once you have two or more channels connected via Windsor.ai, these prompts unlock insights no single platform’s analytics can show:

- "Does a spike in TikTok organic reach correlate with an increase in Google Search Console impressions for my brand name the following week?"
- "On weeks when my LinkedIn posts get high engagement, does website traffic from social sources in GA4 also increase?"
- "Which blog posts on WordPress are driving the most traffic from social media — and are those posts also the ones ranking well in Google Search Console?"

Conclusion

The teams that win on content are not the ones publishing the most. They are the ones who understand what works, why it works, and what to create next.

Windsor MCP, combined with Claude, ChatGPT, or other AI tools, helps you turn content performance data into better topics, smarter posting schedules, stronger audience insights, and more engaging content plans.

Start with one channel, one prompt, and one question about your content. You will likely find patterns, opportunities, and ideas you would have otherwise missed.

Once you see value in the first use case, feel confident expanding into more channels, more prompts, and a deeper content strategy workflow.

🚀 Start your free 30-day trial of Windsor.ai and connect Instagram, TikTok, YouTube, LinkedIn, or any other platform to AI in just a minute: https://onboard.windsor.ai/.

Explore more:

• Windsor AI Prompt Library 
• How to connect Claude (step-by-step setup guide)
• How to connect ChatGPT (step-by-step setup guide)
• Windsor MCP use cases and examples