SEO Report Dashboard
Power BI Template for Google Search Console Insights. Supercharge Your SEO
Search Console data shouldn’t feel like a flood. Our pre-built Power BI model turns sitemap and performance stats into clear, practical SEO insights that lift organic traffic and rankings. Maya Insights brings it all together with a sharp view, custom reports, and full control over your analysis.
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Without Maya
- Manually export data from Google Search Console, requiring multiple reports and downloads.
- Limited sitemap analysis within the GSC interface; difficult to correlate with performance data.
- Time-consuming data cleaning, merging, and preparation in spreadsheets.
- Building your own data model in Power BI, requiring expertise in GSC data structure.
- Hours or days to generate meaningful reports and insights.
With Maya
- Automated data extraction directly from the Google Search Console API.
- Integrated sitemap data analysis, allowing you to easily identify and diagnose indexation issues.
- Pre-built ETL: automatically cleans, normalizes, and structures GSC data.
- Pre-built semantic model optimized for Power BI and Google Search Console data.
- Minutes to get actionable SEO insights.
What you’ll learn from this GSC Analytics Dashboard
Get a deep understanding of your organic search performance and identify key areas for SEO improvement. You’ll be able to:
- Track Your Organic Search Performance: Monitor key metrics like impressions, clicks, CTR, and average position over time.
- Identify Top Performing Queries and Pages: Discover which keywords and landing pages are driving the most organic traffic.
- Analyze Sitemap Data: Understand your website’s indexation status and identify potential issues.
- Uncover New Keyword Opportunities: Find new queries and landing pages that are gaining traction.
- Correlate Page Speed with Organic Search Performance: See how your website’s speed metrics (from the PageSpeed Insights API) directly impact your rankings, impressions, and clicks in Google Search.
How Maya’s Google Search Console Semantic Model Works
Simple 3-Step Process to SEO Analytics
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#1
Automated Google Search Console Integration
Maya pulls data from the Google Search Console API, including search performance data (impressions, clicks, CTR, position) and sitemap information.
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#2
Automated Data Transformation & Unification
Our semantic model automatically cleans, normalizes, and structures the raw data from Google Search Console. Integrate with other data sources, including the PageSpeed Insights API, allowing you to analyze the combined impact of search performance and website speed.
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#3
Instant Visualization & Reporting in Power BI
Connect Maya’s pre-built semantic model to Power BI and instantly access insightful dashboards and reports. Build custom reports to answer your specific SEO questions, leveraging the pre-defined measures and dimensions.
Customize Your Google Search Console Analysis with Maya
Maya Insights empowers you to go beyond standard reporting. With the pre-built semantic model it makes your Google Search Console data instantly ready for SEO analysis in Power BI. You can:
- Unify all marketing data sources: Create visualizations that directly compare your organic search rankings and traffic (from GSC) with your Core Web Vitals and other page speed metrics (from PageSpeed Insights).
- Group search queries based on keywords, intent, or topic to analyze performance at a more granular level. (using
QCx - {Query Cluster x Name}) - Use dimensions like
Landing Page Url Path Level 1,Landing Page Url Path Level 2, etc., to understand which sections of your website are performing best in organic search. - Identify emerging trends and opportunities with metrics like
Organic Impressions from New #andOrganic New Queries #. - Analyze performance by device category, country, search type, and more.
Explore all of Maya’s functionalities
FAQs
What specific Google Search Console metrics are included in the Maya semantic model?
The Maya Insights semantic model includes a comprehensive set of metrics from the Google Search Console API, categorized for clarity:
Core Search Performance Metrics:
Organic Impressions #: The count of impressions from organic search results.Organic Clicks #: The count of clicks from organic search results.Organic Weighted Avg Position: The weighted average ranking position from organic search results.Organic CTR: The Click-Through Rate (CTR) from organic search results.
Value Metrics:
Organic Queries Value: The total theoretical value of queries based on Cost Per Click from SEM results and total Organic Clicks.
New vs. Returning Entities (Queries and Landing Pages):
Organic Impressions from New #: Impressions from queries or landing pages that have never ranked before.Organic Clicks from New #: Clicks from queries or landing pages that have never ranked before.Organic Impressions from Returning #: Impressions from queries or landing pages that have ranked before.Organic Clicks from Returning #: Clicks from queries or landing pages that have ranked before.Organic New Queries #: Number of queries for which your site received impressions for the first time.Organic New LPs #: Number of landing pages that received their first organic search impressions.
Counts (Queries and Landing Pages):
Organic Queries #: Count of distinct search terms for which the property/domain received organic impressions.Organic LPs #: The number of unique landing pages that appeared in organic search results.
Sitemap Pages:
Sitemap Pages #: Total of pages in SitemapSitemap Pages # with no Clicks: Total of pages with no ClicksSitemap Pages # with no Impressions: Total of pages with no ImpressionsSitemap Pages # with no Paid Clicks: Total of pages with no paid Clicks.
Dimensions:
You can analyze these metrics across a variety of dimensions, including: Date (Year, Quarter, Month, Week, Date), Account (Account Service, Account Name), Landing Page (Landing Page, Landing Page Url Link Domain, Landing Page Url Link Domain Base, Landing Page Url Link Domain Prefix, Landing Page Url Link Domain Suffix, Landing Page Url Path Language, Landing Page Url Path Level 1 No Language, Landing Page Url Path Level 1, Landing Page Url Path Level 2, Landing Page Url Path Level 3, Landing Page Url Path Level Last), Search Query (Query, Query Maya, Query Text Translated, Search Type), Country (Country Official Name, Country Region, Country Sub Region), and Device (Device Category, Device). You can also use custom-defined clusters for both landing pages (LPCx) and queries (QCx).
What types of SEO questions can I answer with Maya Insights and Google Search Console data?
You can answer questions like: Which queries drive the most traffic? Which landing pages have the highest CTR? How is my average position trending over time? Are there any pages in my sitemap that aren’t receiving clicks or impressions? How does my page speed correlate with my organic search rankings
How does Maya Insights help improve my SEO?
Maya Insights helps by unifying your Google Search Console data, providing pre-built reports and a semantic model for easy analysis in Power BI. This allows you to quickly identify areas for improvement, track the impact of your SEO efforts, and make data-driven decisions.
Which stakeholders can benefit from using Maya Insights for GSC analysis?
SEO specialists, digital marketers, content creators, website managers, BI professionals, and data engineers.
Do I need to be an SEO expert to use this?
No, you do not need to be an SEO expert to leverage the power of Maya Insights. Our platform is designed to be user-friendly and accessible to all types of marketers. You will be able to analyze sitemap data and gain actionable insights using pre-built reports, and an easy drag and drop interface. Advanced users can still leverage the power of Power BI to create any report or visualization they need, but this is not mandatory to get started.
How does Maya help with website crawling and indexing?
Maya Insights analyzes your sitemap data to provide a clear picture of how search engines crawl and index your website. Track page priorities, update frequencies, and site hierarchy to ensure that all of your critical pages are easily discoverable by search engines, so you are not missing any potential SEO gains.
Can I integrate data from other sources with the Google Search Console data?
Yes, you can integrate data from other sources like the Google PageSpeed Insights API, Google Ads, Google Analytics, and more, directly within Power BI, thanks to Maya Insights’ pre-built semantic model.
What is a sitemap, and why is it important for SEO?
A sitemap is a file that provides information about the pages, videos, and other files on your site, and the relationships between them. Search engines1 like Google use sitemaps to crawl your site more efficiently.
What is Google Search Console?
Google Search Console (GSC) is a free tool provided by Google that helps website owners, webmasters, and SEO professionals monitor, maintain, and troubleshoot their site’s presence in Google search results. It offers insights into how Google views and indexes a website, providing crucial data on search traffic, performance metrics, and technical issues.