Semrush Dimensions & Metrics: Complete Reference Guide 2026

Semrush is one of the most comprehensive SEO platforms available, providing data across organic search, paid advertising, backlink analysis, site auditing, and competitive intelligence. For anyone building SEO dashboards, automating reports, or simply trying to make sense of Semrush's extensive data library, understanding exactly which dimensions and metrics are available — and what each one means — is essential for effective analysis.

This guide provides a complete reference of every major dimension and metric available in Semrush as of 2026. We've organized them by module, included API field references where applicable, and added practical context on when and how to use each data point for real SEO work.

What Are Semrush Dimensions vs Metrics?

In the context of Semrush, dimensions are the descriptive attributes that define the scope and segmentation of your data. They tell you what you are looking at — a specific domain, keyword, URL, country, or device type. Dimensions are the filters and labels that organize your reports.

Metrics are the quantitative values that measure performance. They tell you how much or how well — organic traffic volume, keyword difficulty score, number of backlinks, site health percentage. Metrics are the numbers you analyze, compare, and track over time.

Unlike advertising platforms where this distinction maps cleanly to rows and columns, Semrush data is spread across multiple tools and databases. A keyword report uses keyword phrase as a dimension and search volume as a metric. A domain overview uses the root domain as a dimension and organic traffic as a metric. Understanding this structure helps you query the right data from the right tool.

Domain and Project Dimensions

Domain and project dimensions define the entities you analyze in Semrush. These are the top-level identifiers that scope every report — from a simple domain overview to a detailed position tracking campaign. Every query in Semrush starts by specifying one or more of these dimensions.

Keyword Dimensions

Keyword dimensions describe the search queries and their attributes within Semrush's keyword database. These dimensions define the keywords you research, track, and compete for. They are used across Keyword Magic Tool, Keyword Overview, Keyword Gap, and Position Tracking.

Backlink Dimensions

Backlink dimensions describe the characteristics of links pointing to your domain. These are used in the Backlink Analytics and Backlink Audit tools to analyze your link profile, identify toxic links, and find new link-building opportunities.

Core Organic Metrics

These are the foundational metrics that measure your domain's organic search performance. They form the core of Semrush's Domain Analytics module and are the first numbers most SEO professionals check when evaluating a website.

Keyword Metrics

Keyword metrics quantify the opportunity, difficulty, and commercial value of individual search queries. These are the numbers you use to prioritize which keywords to target in your content strategy and SEO campaigns.

Backlink Metrics

Backlink metrics quantify the strength, quality, and composition of a domain's link profile. These are central to off-page SEO analysis, helping you evaluate your own link-building progress and benchmark against competitors.

Site Audit Metrics

Site Audit metrics measure the technical health of your website from an SEO perspective. Semrush's crawler inspects your pages for issues that could hurt search engine crawling, indexing, and ranking — then categorizes them by severity to help you prioritize fixes.

Competitive Metrics

Competitive metrics let you benchmark your domain against competitors and understand your relative positioning in the organic search landscape. These are essential for competitive analysis, identifying content gaps, and measuring market share.

How to Use Semrush Metrics for SEO Strategy

Having access to hundreds of metrics is valuable, but knowing which ones to focus on for specific objectives is what drives results. Here's a practical framework for selecting the right Semrush metrics at each stage of your SEO workflow.

For keyword research and content planning

Start with search volume and keyword difficulty to assess opportunity vs. effort. Filter by intent type to match keywords to content formats — informational intent for blog posts, transactional intent for product pages. Use click potential to avoid zero-click keywords where SERP features steal all the clicks. Check the 12-month trend to prioritize growing topics over declining ones.

For competitive analysis

Use the Keyword Gap tool to find missing keywords (all competitors rank, you don't) and weak keywords (you rank lower than competitors). Compare Authority Scores to understand relative domain strength. Track common keywords and traffic cost to measure how much organic value each competitor captures.

For link building

Monitor new and lost referring domains monthly to track link velocity. Use the Backlink Gap tool to identify sites that link to competitors but not you — these are your highest-probability outreach targets. Watch the dofollow ratio and anchor text distribution to maintain a natural profile. Run the Backlink Audit quarterly to identify and disavow toxic links before they cause penalties.

For technical SEO

Schedule weekly Site Audit crawls and track the site health score trend. Prioritize errors first (broken links, server errors, missing titles), then warnings (slow pages, missing H1s, thin content). Use Core Web Vitals data to identify pages that need performance optimization. The crawlability score tells you whether search engines can access your most important content.

For reporting and monitoring

Build dashboards around organic traffic, organic keywords (total and top-10 breakdown), and traffic cost as your core KPIs. Add Position Tracking data for priority keyword movements. Include referring domains growth to show off-page progress. Use site health score trend to demonstrate technical SEO improvements over time.

Understanding Semrush Data Limitations

While Semrush provides one of the most comprehensive SEO datasets available, it's important to understand its limitations to avoid misinterpreting data or making flawed decisions.

Traffic estimates are approximations

Semrush organic traffic numbers are estimates based on keyword rankings, search volumes, and modeled CTR curves. They do not reflect actual Google Analytics traffic. The estimates are most accurate for large sites with thousands of ranking keywords and less accurate for small or niche sites. Use Semrush traffic as a relative benchmark (comparing domains) rather than an absolute traffic measure.

Keyword database coverage varies by country

The US database is the largest and most comprehensive. Smaller markets (e.g., Nordic countries, Southeast Asia) have less keyword coverage, which means organic traffic estimates for sites targeting those markets may significantly undercount actual traffic. Always check the database size for your target country before drawing conclusions.

Backlink data is sampled

No backlink tool indexes the entire web. Semrush's backlink crawler covers billions of pages, but some links — especially from very new, very small, or heavily restricted sites — may be missed or delayed. Combine Semrush backlink data with Google Search Console's own link report for the most complete picture.

Authority Score is relative, not absolute

Authority Score is useful for comparing domains against each other, but it should not be treated as a definitive quality measure. A domain with Authority Score 35 can outrank a domain with Authority Score 60 for specific queries if it has better content relevance and on-page optimization. Use Authority Score as one signal among many, not as a ranking prediction.

What Changed in 2024-2026: Semrush Updates

Semrush has made significant platform updates over the past two years that affect which dimensions and metrics are available and how they behave.

2025: AI-powered intent classification

Semrush upgraded its keyword intent classification engine to use machine learning models that analyze SERP composition rather than relying solely on keyword modifiers. The Intent Type dimension now supports multi-intent classification — a keyword can be tagged as both Commercial and Informational simultaneously if the SERP shows a mix of product pages and informational content.

2025: Expanded SERP feature tracking

New SERP features tracked include AI Overviews (Google SGE results), Perspectives (forum and social content), and short video carousels. The SERP Feature dimension now includes over 25 distinct feature types, and the click potential metric has been recalibrated to account for the click-stealing effect of AI Overviews.

2024: Authority Score v2 algorithm

Semrush recalculated Authority Score with stronger weighting toward organic traffic quality and reduced influence of raw backlink quantity. This caused score shifts for many domains — particularly those with large but low-quality link profiles, which saw drops, and smaller domains with strong organic performance, which saw increases.

2025: Historical data expansion

Domain Analytics now stores monthly snapshots going back to 2012 for major markets (US, UK, DE, FR, BR). Position Tracking historical data retention was extended to three years for Business plans and above. Backlink historical data now includes new/lost links for the past 24 months (previously 12 months).

Common Mistakes When Analyzing Semrush Data

Avoid these frequent errors to ensure your SEO analyses are accurate and your strategic decisions are based on sound data interpretation.

1. Treating traffic estimates as exact numbers

Semrush traffic estimates can differ from actual Google Analytics data by 30-50% or more. Never present Semrush traffic as "real" traffic to clients or stakeholders. Instead, use it for relative comparisons — "Competitor A gets roughly 3x our estimated organic traffic" — which is where the data is most reliable.

2. Ignoring keyword intent when prioritizing

A keyword with 10,000 monthly searches and informational intent may drive less business value than a keyword with 500 searches and transactional intent. Always cross-reference search volume with intent type and CPC (as a proxy for commercial value) when building content strategies.

3. Comparing Authority Scores across niches

Authority Score is relative to the global domain population. An Authority Score of 40 in a niche B2B market may represent top-tier authority, while the same score in a mainstream consumer market might be average. Compare Authority Scores only within the same competitive set.

4. Overreacting to daily position changes

Google rankings fluctuate daily due to algorithm updates, indexing cycles, and personalization. A keyword dropping from position 5 to position 8 on a single day is not cause for alarm. Track weekly or monthly averages in Position Tracking and focus on sustained trends rather than daily volatility.

5. Using Keyword Difficulty as the sole selection criterion

KD% measures how hard it is to rank in the top 10 based on current competitors' backlinks and authority. It does not account for content quality, topical authority, or your existing coverage. A domain with strong topical authority can rank for keywords with high KD% by producing superior content. Always combine KD% with search volume, intent, and your own domain's competitive position.

6. Neglecting the Backlink Audit

Running Backlink Analytics alone shows your link profile. Running Backlink Audit adds toxicity analysis, which identifies potentially harmful links that could trigger a manual penalty or algorithmic demotion. Schedule quarterly audits and disavow genuinely toxic links — but be careful not to disavow legitimate links just because they come from low-authority sites.