Most SEO teams know how important on-page factors are—but the challenge is monitoring them at scale. Metadata issues, missing headings, slow load times, thin content, and weak internal linking quietly accumulate across dozens or hundreds of URLs. Without a unified view, critical pages underperform simply because the signals are buried in different tools.
A Looker Studio On-Page SEO Dashboard solves this problem by consolidating page-level data from Google Search Console, Google Analytics 4, PageSpeed Insights, and your crawl export (Screaming Frog, Sitebulb, or a custom Google Sheet).
The result: you can instantly diagnose issues, prioritize fixes, and visualize the health of your content in one clean and interactive interface.
Key Takeaways
Looker Studio can blend Search Console, GA4, PageSpeed Insights, and crawl data to create a complete page-level view of your on-page SEO signals.
Tracking metadata quality, content depth, internal links, and Core Web Vitals helps identify the exact SEO elements holding a page back.
Full spell-outs of key performance metrics—Largest Contentful Paint (LCP), Cumulative Layout Shift (CLS), and Interaction to Next Paint (INP)—help stakeholders understand the meaning behind performance scores.
Heatmaps, filters, and custom scoring models make it easy to diagnose issues across templates and sections (/blog/, /product/, /guides/).
Visualizing on-page factors allows teams to prioritize work by impact rather than guessing or reacting to rankings.
Why Visualizing On-Page SEO Factors Matters
Each on-page factor tells part of the story. Metadata affects click-through rate. Headers and word count influence relevance. Internal links drive crawlability and ranking strength. Core Web Vitals shape user experience and visibility.
But in practice, these factors live across several tools:
GSC: impressions, clicks, CTR, ranking
GA4: engagement rate, scroll events, conversions
PageSpeed Insights: LCP, CLS, INP
Crawl data: title tag lengths, header structure, content depth, internal links
When brought together in a Looker Studio dashboard, you can see:
Why a page ranks but doesn’t get clicks
Why does a page get traffic but has low engagement
Which templates have systemic technical issues
Which pages need immediate fixes based on potential impact
Which on-page factors correlate with strong performance
This is where SEO strategy becomes measurable and actionable.
Step-by-Step: Build an On-Page SEO Dashboard in Looker Studio
Step 1: Connect Your Data Sources
You’ll use four main data feeds:
1. Google Search Console
Bring in the Page table to track:
Organic impressions
Clicks
CTR
Average position
Ranking keyword count
2. Google Analytics 4
Focus on:
Sessions
Engaged sessions
Engagement rate
Average engagement time
Scroll events
Conversion events
GA4 gives you user behavior after the click—essential context.
3. PageSpeed Insights
Use either the official connector or a scheduled Google Sheet export.
Track:
Largest Contentful Paint (LCP)
Cumulative Layout Shift (CLS)
Interaction to Next Paint (INP)
Performance score
Mobile vs. desktop metrics
4. Crawl or On-Page SEO Sheet
Typical columns include:
Title length
Meta description length
H1 count
H2 count
Word count
Internal links / external links
Missing alt text
Canonical tag
Status code
Your auto-generated sheet already includes these fields with example rows.
Step 2: Blend Everything
Your dashboard becomes powerful once the data is blended.
Join Key
Landing Page URL
Blend:
GSC Page Data
GA4 Landing Page Data
PageSpeed metrics
On-page SEO Sheet
Normalize URLs (critical)
Remove parameters:
REGEXP_REPLACE(Landing Page, "\\?.*", "")
Remove trailing slashes:
REGEXP_REPLACE(Landing Page, "/$", "")
This ensures all datasets sync cleanly.
Step 3: Add Page-Level KPIs
Create scorecards for:
SEO Visibility
Total impressions
Clicks
CTR
Average position
User Engagement (GA4)
Engagement rate
Engaged sessions
Average engagement time
Scroll depth events
Core Web Vitals
Largest Contentful Paint (LCP)
Cumulative Layout Shift (CLS)
Interaction to Next Paint (INP)
On-Page Health
Avg title length
Avg meta description length
Pages missing H1
Pages with thin content (<500 words)
This gives teams instant insight into content quality, engagement, and technical UX signals.
Step 4: Build the On-Page SEO Heatmap
This is the core diagnostic view.
Recommended columns:
Landing Page URL
Impressions
CTR
Average position
Engagement rate
Word count
Title length
H1 count
Internal link count
LCP
CLS
INP
Add conditional formatting:
Red: Critical problem
Yellow: Needs review
Green: Healthy
With one glance, you can see:
Pages with thin content
Pages with missing or weak metadata
Slow-loading pages
Underperforming pages with high potential
Strong pages worth linking to
Step 5: Create Metadata Health Panels
Include:
Title Tags
Over-length (>70 chars)
Under-length (<30 chars)
Missing titles
Meta Descriptions
Missing
Too short
Too long
Headers
Missing H1
Pages with multiple H1s
H2 distribution
Images
Alt text missing
Image count
Largest image sizes (optional)
This replaces manual audits with an always-on monitoring tool.
Step 6: Page Speed & Core Web Vitals Monitoring
Visualize:
LCP over time
CLS distribution
INP distribution
Mobile vs. desktop gaps
Overlay Search Console impressions to show the impact of slow load times on visibility.
Step 7: Add Filters for Deep Analysis
Add drill-down filters for:
Template (blog, product, landing page)
URL directory (/blog/, /case-studies/, /category/)
Impressions threshold
PageSpeed score ranges
Word count buckets
Segmenting by page type reveals systemic issues—like all blog posts missing H2s or product pages with slow LCP.
Step 8: Prioritize Fixes Using a Custom Impact Score
Create a scoring model:
Example:
(Engagement Rate * 0.3) +
(CTR * 0.2) +
(1 / LCP * 0.2) +
((Word Count / 1500) * 0.2) +
((Internal Links / 10) * 0.1)
This allows you to sort URLs by:
Highest opportunity
Worst issues
Pages likely to improve fastest
Add a scatter plot with:
X = CTR
Y = Engagement rate
Bubble = Impressions
Color = Score
This shows exactly what to work on first.
Which On-Page Factors Matter Most?
1. Metadata
Your title tag and description strongly influence CTR.
2. Headers & Structure
Clean hierarchy improves readability and relevance.
3. Content Depth
Word count, sectioning, and topical coverage matter.
4. Internal Links
A page with 20+ internal links often outperforms one with 0–5.
5. Image Optimization
Missing alt text and oversized images can hurt SEO and performance.
6. Core Web Vitals
Largest Contentful Paint (LCP) – loading
Cumulative Layout Shift (CLS) – stability
Interaction to Next Paint (INP) – responsiveness
These directly affect rankings and user experience.
Tracking Improvements Over Time
Use Looker Studio time-series charts for:
CTR by page
Engagement rate trends
LCP & CLS improvements
Word count changes vs. performance
Page Speed score improvements
This shows how optimizations directly impact rankings and traffic.
FAQ
Do I need a crawler to use this dashboard?
No, but a crawler or structured Google Sheet makes the dashboard far more useful.
Can I automate PageSpeed Insights data?
Yes, using an Apps Script or a PSI connector.
Can Looker Studio track template-level SEO issues?
Yes—directory filters reveal systemic patterns across sections.
Can I blend keyword-level data too?
Yes, by adding the GSC Query table as a secondary source.