Windsor MCP for SEO: Analyze Rankings, Content, and Conversions with AI

SEO teams don’t lack data. They lack a clear, usable view of it.

Search performance, traffic, rankings, content, and conversions are all spread across Google Search Console, GA4, Google Ads, WordPress, and other platforms.

To answer even simple questions, teams jump between tools, export data, and piece together reports that take hours.

While that happens, rankings shift, issues go unnoticed, and growth opportunities are missed.

Windsor MCP changes this by connecting your SEO data directly to ChatGPT, Claude, and other AI tools. Instead of building reports, you can instantly analyze performance, spot issues, and identify what to do next.

🚀 Start your free trial of Windsor.ai and connect your SEO data to AI right now: https://onboard.windsor.ai/.

This guide includes ready-to-use prompts for the most common SEO use cases you can apply right away.

SEO analysis with Windsor MCP and AI: Use cases and prompts

See how to analyze your SEO data faster with AI.

1. Keyword and rankings performance analysis

The challenge:

Rankings shift every single day, but most SEO teams only find out when the damage is already done. A keyword that was sitting comfortably on page one last week has slipped to page two, traffic has quietly dropped, and nobody noticed until the monthly review.

The data to prevent all of that is sitting in Google Search Console right now. Windsor MCP connects it directly to AI, so your team can see exactly what moved, what dropped, and what needs attention before it becomes a problem.

Prompt: Weekly rankings digest

Use Windsor.ai to pull Google Search Console data for [website] for the last 7 days compared to the previous 7 days.

For each keyword include:
- Current average position
- Position change week over week
- Impressions
- Clicks
- CTR

Identify:
1. Top 10 keywords that improved in position this week
2. Top 10 keywords that dropped the most
3. Keywords sitting between positions 8 and 15 with over 500 impressions but a CTR below 3%

Format as three separate tables with a short summary under each.

Prompt: Keyword opportunity finder

Use Windsor.ai to pull Google Search Console data for [website] over the last 30 days.

Find all keywords where:
- Average position is between 5 and 15
- Impressions are above 300
- CTR is below 4%

For each keyword include:
- Current position
- Impressions
- CTR
- The page currently ranking for it

Sort by impressions from highest to lowest. 
Flag the top 10 as priority opportunities and suggest one specific on-page action for each.

What you’ll get:

A prioritized list of keywords to push toward page one, protect before they slip further, and quick wins your team can act on this week without waiting for a full audit.

2. Content audit and optimization priorities

The challenge:

Most content teams are so focused on publishing new pages that they never stop to look at what is already on the site. Meanwhile, hundreds of existing pages are sitting there underperforming, pulling down domain authority, and competing against each other for the same keywords.

A content audit should be a regular part of every SEO workflow. But when the data lives across Google Search Console, GA4, and a CMS, pulling it all together manually is the kind of task that always gets pushed to next month.

Windsor MCP connects all those sources in one place, so your team can instantly see which pages are worth fixing, which ones are cannibalizing each other, and where a simple refresh could recover traffic that has been quietly slipping away.

Prompt: Audit underperforming content

Use Windsor.ai to pull Google Search Console and GA4 data for [website] over the last 90 days.

Identify all pages where:
- Impressions are above 200 but clicks are below 10
- Organic traffic has declined more than 20% compared to the previous 90 days
- Average position has dropped by more than 5 positions

For each page include:
- URL
- Current impressions and clicks
- CTR
- Traffic change percentage
- Current average position

Sort by traffic loss from highest to lowest and suggest one specific action for each page: rewrite, refresh, consolidate, or redirect.

Prompt: Detect content cannibalization

Use Windsor.ai to pull Google Search Console data for [website] over the last 30 days.

Find all keywords where two or more URLs are ranking simultaneously.

For each case include:
- The keywords
- All competing URLs
- Each URL's average position
- Each URL's impressions and clicks

Flag the cases where cannibalization is most likely hurting performance and recommend which URL to keep as the primary ranking page for each keyword.

What you’ll get:

A clear, prioritized list of pages to fix, consolidate, or redirect, so your team quickly recovers existing traffic.

3. Organic vs. paid vs. social media performance comparison

The challenge:

Organic search is delivering results, but proving exactly how much it contributes compared to paid and social media channels is a different conversation.

Leadership sees the Google Ads spend and asks why they should keep investing in SEO when paid delivers results faster. Without a clear side-by-side view, that conversation is hard to win.

The data to answer it is already sitting in GA4, Google Ads, and LinkedIn Organic.

Windsor MCP connects all those sources in one place, so your team can show exactly how organic stacks up against paid and social, where each channel contributes, and where the budget conversation needs to shift.

Prompt: Compare cross-channel traffic and conversions

Use Windsor.ai to pull GA4 data for [website] over the last 30 days.

Break down performance by default_channel_group and include for each channel:
- Total sessions
- Conversions
- Conversion rate (conversions divided by sessions)
- Bounce rate
- Average session duration

Channels to include:
- Organic Search
- Paid Search
- Organic Social
- Paid Social

Then answer:
1. Which channel drives the highest conversion rate?
2. Which channel drives the most engaged sessions based on bounce rate and session duration?
3. Where is organic search outperforming paid on a cost-per-result basis?

Format the output as a comparison table followed by a short executive summary.

Prompt: Analyze organic and paid keyword overlap

Use Windsor.ai to pull Google Search Console and Google Ads data for [website] over the last 30 days.

From Google Search Console, pull:
- queries
- clicks
- impressions
- positions

From Google Ads, pull:
- campaigns
- clicks
- impressions
- cost
- conversions

Identify keywords where the site ranks organically in positions 1 to 5 and is also running paid ads.

For each overlapping keyword include:
- Organic position
- Organic clicks
- Paid spend
- Paid conversions

Flag keywords where paid spend could be reduced because organic is already capturing strong traffic, and suggest a budget reallocation recommendation.

What you’ll get:

4. Technical SEO monitoring

The challenge:

Technical SEO problems are quite killers. Pages get deindexed, Core Web Vitals scores drop, and crawl errors pile up while the team is focused on content and keywords. Nobody notices until rankings start sliding.

The real problem is not finding the issues. GSC surfaces most of them. The problem is knowing which ones are serious enough to escalate to the dev team today and which ones can wait until the next sprint. Without a clear priority order, technical fixes either get ignored or treated with equal urgency, which means nothing gets done efficiently.

Windsor MCP connects Google Search Console and GA4 directly to AI, so your team can instantly see which technical issues are affecting the most traffic, ranked by impact, and ready to hand straight to a developer.

Prompts: Audit technical SEO health

Use Windsor.ai to pull Google Search Console data for [website] over the last 30 days.

Identify:
- Pages (page) with zero impressions that previously had traffic in the prior 30 days
- Pages with a position above 50 that previously ranked in the top 20
- Pages with impressions above 500 but CTR below 1%
- Any significant drops in clicks or impressions by device type

From GA4, filter sessions by medium = "organic" and identify:
- Pages (page_path) with the highest bounce_rate among top organic landing pages
- Pages where sessions dropped more than 30% compared to the previous 30 days

Format the output as a prioritized issue list with severity levels: Critical, High, and Medium.

What you’ll get:

A developer-ready issue list ranked by impact, so your team clearly understands what to fix first and starts recovering rankings with an AI-powered action plan.

5. Organic content performance across channels

The challenge:

Publishing content is only half the battle. The harder part is knowing which pieces are actually working, on which channels, and why. A blog post might drive strong organic search traffic but barely get any engagement on LinkedIn. A YouTube video might generate thousands of views but send nobody back to the website.

Without a unified view, SEO and content teams make decisions based on whichever platform they happen to check last. Budget goes to content formats that feel like they are working rather than ones that the data confirms are working.

Windsor MCP connects Google Search Console, GA4, Facebook Organic, LinkedIn Organic, and YouTube so your team can see exactly how content performs across every organic channel in one place and make smarter decisions about where to invest next.

Prompt: Evaluate cross-channel organic content performance

Use Windsor.ai to pull data for [website] over the last 30 days from the following sources:

From Google Search Console:
- query, page, clicks, impressions, ctr, position

From GA4, filter by medium = "organic":
- page_path, sessions, bounce_rate, conversions

From Facebook Organic:
- post_title, post_impressions_organic, post_clicks, post_reactions_total

From LinkedIn Organic:
- share_text, share_impression_count, share_clicks_count, share_engagement_rate

From YouTube:
- video_title, views, average_view_percentage, shares, subscribers_gained

For each channel, identify:
1. The top 5 performing pieces of content by engagement
2. Which content topics appear across multiple channels
3. Which channel drives the most website sessions

Format the output as a channel-by-channel table followed by a short summary of the top performing content themes.

Prompt: Content to search demand correlation

Use Windsor.ai to pull Google Search Console and LinkedIn Organic data for [website] over the last 30 days.

From Google Search Console pull:
- query, impressions, clicks, position

From LinkedIn Organic pull:
- share_text, share_impression_count, share_clicks_count

Identify:
- Topics that performed well on LinkedIn and also show growing search impressions in GSC
- Topics with high search demand but no corresponding LinkedIn or social content
- Keywords where branded search impressions grew following a LinkedIn post on the same topic

Summarize which content topics have the strongest cross-channel momentum and recommend three topics to prioritize for both SEO and social in the next month.

What you’ll get:

A unified view of how your content performs across organic search, social, and video so your team stops guessing which formats and topics to invest in and starts building a content strategy backed by data from every channel at once.

6. SEO reporting for stakeholders

The challenge:

Executives do not want to log into Google Search Console. They do not want to scroll through GA4 dashboards. They want to know three things: is organic traffic growing, is it converting, and what should we do next.

SEO teams spend hours every month pulling data from GSC and GA4, formatting it into slides, and writing summaries that should have taken twenty minutes. By the time the report is ready, the data is already a week old, and the strategic window has shifted.

Windsor MCP connects Google Search Console, GA4, and Google Sheets directly to AI so your team can generate a complete, stakeholder-ready SEO report in minutes. The narrative is already written, and the recommendations are already prioritized.

Prompt: Weekly SEO performance report

Use Windsor.ai to pull Google Search Console and GA4 data for [website] for the last 7 days compared to the previous 7 days.

From Google Search Console include:
- Total clicks
- Total impressions
- Average CTR
- Average position
- Top 10 queries by clicks
- Top 10 pages by clicks

From GA4, filter by medium = "organic" include:
- Total sessions
- Total conversions
- Conversion rate
- Bounce rate
- Top 10 landing pages by sessions

Structure the report as follows:
1. Executive summary (3 sentences maximum)
2. Key metrics table with month over month changes
3. Top wins this month with supporting data
4. Top issues and opportunities with supporting data
5. Five specific recommended actions for next month

Write in plain language suitable for a CEO or CMO who does not work in SEO day to day.

Prompt: Stakeholder slide narrative

Use Windsor.ai to pull GA4 data for [website] for the last 30 days.

Write a 200-word presenter-ready summary of organic search performance for a monthly business review.

Include:
- Overall traffic and conversion trend
- One key win with supporting data
- One area that needs attention with supporting data
- Five clear recommended actions for next month

Write in a confident, direct tone suitable for a presenter to read aloud to a leadership team.

What you’ll get:

A polished, insight-driven report that tells the story behind the numbers without requiring hours of manual assembly, so your team walks into every stakeholder meeting prepared, confident, and focused on strategy.

7.  SEO and email marketing performance correlation

The challenge:

Email and SEO are rarely managed as connected channels. The email team sends a campaign, traffic spikes for a day, and the SEO team has no idea why branded search suddenly jumped. The SEO team publishes new content, and the email team has no visibility into which topics are resonating with organic audiences.

The result is two teams working in parallel with no shared data, no shared strategy, and no way to see how each channel amplifies the other.

Windsor MCP connects Google Search Console, GA4, and mailing platforms directly to AI, so your team can see exactly how email campaigns affect branded search demand, which content topics drive both email engagement and organic traffic, and where the two channels are stronger together than apart.

Prompt: Email campaign impact on organic search

Use Windsor.ai to pull [mailing service, e.g., Maichimp] and Google Search Console data for [website] over the last 30 days.

From [mailing service] pull campaign data including:
- campaign name
- campaign started at
- campaign stats (opens, clicks, open rate, click rate)

From Google Search Console pull:
- query
- clicks
- impressions
- branded_vs_nonbranded
- date

For each email campaign send date, identify:
1. Whether branded search impressions increased in the 7 days following the send
2. Whether non-branded search impressions grew for topics covered in the email
3. Which campaigns produced the strongest organic search lift

Format as a timeline table showing campaign send dates alongside search performance changes, followed by a short summary of which email topics had the strongest SEO impact.

What you’ll get:

A clear picture of how email and organic search influence each other, so your team can align content strategy across both channels, amplify the impact of every email sent, and use email demand data to inform what to write on site next.

8. Local SEO performance analysis

The challenge:

Local SEO is one of the most underleveraged areas in most SEO strategies. Teams focus on broad keyword rankings and national traffic while missing the local search opportunities that are often closer to conversion and easier to win.

The problem is that local performance data is rarely visible in standard reporting. Which countries are driving the most organic traffic, which local keywords are gaining or losing ground, and whether mobile search is underperforming compared to desktop in key markets are questions that require filtering and analysis, and most teams simply do not have time to do it manually.

Windsor MCP connects Google Search Console and GA4 directly to AI, so your team can instantly surface local search performance by country, device, and keyword, identify which markets are underserved, and build a data-backed local SEO strategy.

Prompt: Local search performance by country

Use Windsor.ai to pull Google Search Console data for [website] over the last 30 days.

Break down performance by country and include:
- country
- query
- clicks
- impressions
- ctr
- position

Identify:
1. The top 5 countries by organic clicks
2. Countries with high impressions but low CTR indicating untapped local demand
3. Countries where average position has dropped more than 5 places compared to the previous 30 days
4. Local keywords including city or region names ranking between positions 5 and 15

For each finding, recommend one specific action to improve local search visibility in that market.

Format as a country by country table followed by a short local SEO opportunity summary.

What you’ll get:

A clear, market-by-market view of local search performance showing exactly where organic visibility is strong, where it is underperforming, and which local markets deserve more attention before a competitor takes the ground.

9. Search intent and SERP analysis

The challenge:

Ranking is not just about keywords. It is about matching what Google expects for that query.

A page can sit in position 8 not because it is weak, but because it does not match the dominant intent. If the SERP is full of listicles and your page is a product page, you will struggle to move up, no matter how much you optimize.

Windsor MCP connects search data to AI, so your team can analyze which types of pages rank, what intent dominates, and where your content mismatches expectations.

Prompt: Analyze search intent and SERP patterns

Use Windsor.ai to pull Google Search Console data for [website] over the last 30 days.

Identify the top 20 queries by impressions where:
- Average position is between 3 and 15

For each query:
1. Classify search intent as informational, commercial, transactional, or navigational
2. Identify the ranking page type (blog, landing page, product page, category page)
3. Flag mismatches between query intent and page type
4. Suggest the optimal content format to improve ranking

Summarize:
- Most common intent types across top queries
- Where content format does not match SERP expectations
- Top 5 queries where changing format could improve rankings

What you’ll get:

A clear view of which queries you are underperforming on due to intent mismatch, and what type of content to create or adjust to rank higher.

Use Windsor.ai to pull Google Search Console data for [website] over the last 30 days.

Identify:
- Queries with growing impressions (increase >20% vs previous period)
- Queries ranking between positions 5 and 20
- Queries with high impressions (>300) and low CTR (<3%)

Group these queries into topic clusters.

For each cluster:
- Suggest one primary content piece
- Suggest 2–3 supporting content ideas
- Recommend target keywords
- Suggest search intent and content format

Prioritize clusters by total impressions.

Use Windsor.ai to pull Google Search Console and GA4 data for [website] over the last 30 days.

From GSC include:
- query, page, clicks, impressions, position

From GA4 (medium = organic) include:
- page_path, sessions, conversions, conversion_rate

Identify pages where:
- Sessions are above 500
- Conversion rate is below site average
- Traffic increased but conversions did not
- Top 10 pages driving the most conversions
- Keywords associated with high-converting pages

Pro tips for using AI for SEO teams more effectively

The use cases above are just the starting point. These five tips will help your team get more out of Windsor MCP and turn it into a repeatable system for SEO analysis, reporting, and strategy.

Always include your GSC property URL and date range in the prompt

Windsor supports multiple connected properties, which means a prompt without a specified property can pull data from the wrong site.

Always include the exact GSC property URL and date range in every prompt to keep your analysis accurate and focused.

"For GSC property [sc-domain:yourwebsite.com], analyze the last 30 days compared to the previous 30 days..."

Filter GA4 by medium for analyzing organic traffic only

GA4 tracks all traffic sources together, so pulling sessions without filtering will blend organic, paid, direct, and referral data into one misleading number. Always filter by medium = “organic” in your prompts to isolate true organic search performance from everything else.

"From GA4, filter sessions where medium = 'organic'  and pull page_path, sessions, conversions, and bounce_rate..."

Combine GSC and GA4 for deeper insights

GSC tells you what keywords and pages are getting impressions and clicks. GA4 tells you what happens after the click.

Running them together in a single prompt gives you the full picture, from search visibility to on-site behavior to conversion, without having to cross-reference two separate reports manually.

Use CMS data to connect web content to rankings

Windsor connects directly to CMS platforms like WordPress, which means you can combine publishing dates from WordPress with GSC ranking data to see how quickly new content ranks, which content types perform best over time, and whether your publishing cadence is having a measurable impact on organic visibility.

Always cross-reference GSC data with GA4 before reporting to stakeholders

GSC and GA4 measure clicks differently, which means the numbers rarely match perfectly.

Before presenting organic performance to leadership or clients, always run a prompt that pulls both sources together and reconciles the differences. It saves you from uncomfortable questions in the middle of a stakeholder presentation.

Conclusion

Organic search is one of the highest-value channels a business can invest in. But its impact is impossible to prove, defend, or grow when the data is scattered across platforms with no unified view.

Windsor MCP + AI changes that by giving SEO teams a single bridge between all their data and the answers they need. Rankings, content performance, technical issues, stakeholder reports, and revenue attribution all become accessible in seconds instead of hours.

Start with one use case, run one prompt, and compare it to what your current process looks like. The time you save is time your team can put back into the work that moves rankings and grows organic revenue.

🚀 Start your 30-day free trial at Windsor.ai and connect your first data source to your favorite AI tool in under a minute: https://onboard.windsor.ai/