Share of Voice Report Dashboard
Dominate Your SERP: Power BI Template for SERP Competitor Analysis
Competitor SERP strategies shouldn’t be a mystery. Our pre-built Power BI model gives you instant access to clear, data-backed insights, spots untapped opportunities, and tracks your organic share of voice. Maya Insights brings it all together with a sharp view, custom reports, and full control over your analysis.
Trusted by
Without Maya
- Manual SERP scraping, relying on third-party tools, or limited data from Google Search Console.
- Manually identifying competitors based on keyword research and limited data.
- Difficult and time-consuming to track organic share of voice accurately.
- Limited ability to combine competitor data with your own website performance and marketing data.
- Days or weeks to gather and analyze competitive data.
With Maya
- Automated SERP scraping and data collection, integrated with Google Keyword Planner.
- Data-driven competitor identification based on actual SERP rankings for your target keywords.
- Automated calculation of share of voice (clicks, estimated value) for you and your competitors.
- Seamless integration with PageSpeed Insights, Google Search Console, and other marketing data sources for holistic analysis.
- Minutes to get actionable SEO competitive analysis insights.
What You Will Learn From Organic Share of Voice Analysis with Maya
Understand your competitive landscape and identify key opportunities to improve your SEO performance and gain more organic share of voice. You’ll be able to:
- Identify Your True Competitors: Discover which websites are actually competing with you for your target keywords in organic search results.
- Track Your Share of Voice: Measure your share of organic clicks and estimated value compared to your competitors.
- Uncover Competitor Keywords: See which keywords your competitors are ranking for, and identify potential new keyword opportunities for your own keyword competitor research & tracking.
- Analyze Competitor Landing Pages: Examine the content and structure of your competitors’ top-performing landing pages.
- Combine Competitive Data with Website Performance: See how your website’s page speed (from PageSpeed Insights) compares to your competitors’, and identify areas where you can gain a competitive edge.
How Maya’s Semantic Model Works
Simple 3-Step Process to Keyword Competitor Analysis
-
#1
Automated SERP Data Collection & Integration
Maya automatically crawls Google’s search results pages (SERPs) for your target keywords and integrates data from Google Keyword Planner (search volume, CPC).
-
#2
Data Transformation & Calculation
Our semantic model cleans, normalizes, and structures the raw data. It calculates key metrics like estimated organic clicks, value, and share of voice. It’s also designed for seamless integration with other data sources, like your Search Engine Marketing data sources and Google Search Console.
-
#3
Instant Visualization & Reporting in Power BI
Connect Maya’s pre-built semantic model to Power BI and instantly access insightful dashboards and reports for comprehensive organic share of voice analysis. Build custom reports to answer your specific competitive analysis questions.
Customize Your SERP and Keyword Competitor Analytics with Maya
Maya Insights empowers you to go beyond standard competitive analysis. With the pre-built semantic model and the flexibility of Power BI, you can:
- Create Custom Query Clusters: Group keywords based on topic, intent, or product category (using
QCx - {Query Cluster x Name}
) to analyze competitive performance at a granular level. - Analyze Competitor Performance by Landing Page: Use dimensions like
Crawl Competitor Domain
andCrawl Competitor Page URL
to identify your competitors’ top-performing pages. - Combine with PageSpeed Insights Data: Compare your website’s page speed metrics (Core Web Vitals, etc.) to your competitors’ to identify performance gaps and opportunities.
- Integrate with Your Own Google Search Console Data: Get a complete picture of your organic performance by combining competitor data with your own search console data.
- Filter and Segment Your Data: Analyze competitive data by country, device category, and search type.
Explore all of Maya’s functionalities
FAQs
What specific SERP competitor analysis metrics are included in the Maya semantic model?
The Maya Insights semantic model includes a comprehensive set of metrics from our web crawler and Google Keyword Planner, all readily available for analysis within Power BI. These are categorized for clarity:
Core Competitive Metrics:
-
Crawl Organic Impressions #
: The estimated search volumes of a query. -
Crawl Organic Clicks #
: The theoretical organic click volume for crawled queries. -
Crawl Organic Value
: The estimated advertising cost to achieve the same number of clicks through SEM. -
% Share of SEO in Clicks per Domain Base
: Percentage of share in Search Engine results, measured in Clicks, per domain. -
% Share of SEO in Value per Domain Base
: Percentage of Value estimated per URL Domain. -
Crawl LPs Weighted Avg Position
: Weighted average ranking.
Keyword Planner Metrics:
-
KPlanner High CPC Bid
: The highest amount advertisers have paid for a keyword’s top-of-page bid. -
KPlanner Average Competition Index
: Average SEM competition index for the keyword. -
KPlanner Query Total Searches #
: Aggregation of the estimated monthly search volume. -
KPlanner Average Searches Monthly
: Approximate number of monthly searches on this query. -
KPlanner Low CPC Bid
: The minimum amount advertisers have paid for a keyword’s top-of-page bid. -
KPlanner Monthly Volume - SEO Missed
: Monthly Volume of Keywords crawled from Keyword Planner on which the brand has no SEO reach. -
KPlanner Volume - SEO Missed
: Total Volume of Keywords crawled from Keyword Planner on which the brand has no SEO reach. -
KPlanner Keywords #
: Number of distinct keywords crawled. -
KPlanner Keywords # - SEO Fully Covered
: Keywords for which the brand has as many impressions or more as the estimated volume of query searches. -
KPlanner Keywords # - SEO Missed
: Keywords for which the brand has no SEO reach. -
KPlanner SEO Covered %
: Percentage of the Queries covered by SEO.
Counts:
Crawled Domains #
: The number of distinct domains detected.Crawled Landing Pages #
: The number of pages from crawled query search results.Crawled Queries #
: Number of distinct queries considered.Crawl Cost
: total cost from paid search.Query SERP Impressions of Property #
Impressions.
Dimensions:
You can analyze these metrics across a variety of dimensions: Query
(and variations like Query Maya
, Query Text Translated
), Crawl Country
, Crawl month
, Crawl Competitor Domain
, Crawl Competitor Page URL
, Crawl Competitor Page Title
, Crawl Type
, and custom query clusters (QCx
). You can also integrate this with other dimensions from connected data sources.
What types of competitive analysis questions can I answer with Maya Insights?
You can answer questions like: Who are my top organic competitors? What is my organic share of voice compared to my competitors? Which keywords are my competitors ranking for that I’m not? Which competitor landing pages are performing best? How does my website’s page speed compare to my competitors’?
Can I analyze competitor data for specific segments of my market?
Yes, you can use dimensions like Crawl Country
and custom query clusters (QCx
) to analyze competitive data for specific geographic regions or keyword groups.
Which stakeholders can benefit from using Maya Insights for SEO competitive analysis?
SEO specialists, digital marketers, content strategists, competitive intelligence analysts, BI professionals, and anyone responsible for organic search performance.
How does Maya Insights help improve my competitor keyword research & tracking and overall SEO strategy?
By providing a data-driven view of the competitive landscape, Maya Insights allows you to identify opportunities, prioritize your efforts, and track the impact of your SEO activities, leading to better organic share of voice analysis.
What is “Share of Voice” in SEO?
Share of voice, in the context of SEO, refers to your brand’s visibility in organic search results compared to your competitors. It’s often measured in terms of estimated clicks or traffic.
What is “SERP” analysis?
SERP analysis involves examining Google’s search engine results pages (SERPs) to understand the competitive landscape for specific keywords, identify ranking factors, and uncover opportunities to improve your own SEO performance.
How does combining competitor data with my own website data help my SEO?
By combining competitor data with your own data, you can identify areas where you’re outperforming your competitors, areas where you’re lagging behind, and specific actions you can take to improve your rankings and organic traffic.