Definition:
Semrush is a software platform for analyzing and improving the digital visibility of brands and websites. It combines keyword research, competitive analysis, technical auditing, rank tracking, backlink, advertising, content, and AI-generated answer visibility tools.
Origin and evolution of Semrush
Semrush began in 2008 as a competitive research tool for search marketing. It gradually expanded from SEO and paid advertising into content, social media, market intelligence, and visibility across AI systems. SEOquake is the browser extension in its ecosystem for checking metrics and basic diagnostics.
The product’s development is also reflected in its current toolkit structure. Some capabilities are sold separately or through combined plans, so metric availability depends on the selected plan and may change as the company reorganizes its products.
Main Semrush features
Semrush combines proprietary datasets with projects configured by the user. This makes it possible to research a market while also monitoring a specific set of domains, keywords, or campaigns.
- Keywords and domains: shows queries, estimated positions, competitors, and leading pages in search engines.
- Technical auditing: crawls a site to identify indexability, linking, performance, and SEO configuration issues.
- Position tracking: monitors selected keywords by device, location, and supported search engine.
- Link analysis: examines backlinks, referring domains, and competitor gaps.
- Advertising and content: provides data for paid campaigns, editorial planning, and page optimization.
Measuring artificial intelligence visibility
Semrush treats AI visibility separately from traditional organic rankings. Its AI Visibility Toolkit and Semrush One analyze how brands, domains, and sources appear in answers from ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode, although the exact coverage varies by report.
The platform can report mentions and citations, share of voice, sentiment, associated topics, and competitor gaps. Visibility Overview provides a broad benchmark; Brand Performance examines how a brand is described; Competitor Research compares several entities; and Prompt Research helps uncover questions and topics where a brand is present or absent.
Position Tracking adds recurring monitoring for user-selected prompts and queries that trigger AI Overviews. Other modules estimate referral traffic from AI platforms, check whether related crawlers are blocked, or bring Google Analytics data into reports. These are different metrics: a mention, a citation, an estimated visit, and an analytics session measure different events.
How to interpret its metrics
Semrush visibility metrics depend on its prompt database, the selected location, and the systems queried. Some reports use synthetic prompts related to a domain, while others use user-defined queries or proprietary databases. The results help identify patterns and compare periods, but they do not represent every answer shown to every user.
Models change, and appearing in an answer does not guarantee clicks, conversions, or brand preference. These indicators should therefore be compared with first-party data, such as web analytics and Search Console, and with a qualitative review of the responses and cited sources.
Uses of Semrush
Semrush is used to research markets, prioritize opportunities, and monitor results across several channels. A company can compare its topical coverage with competitors, an agency can organize several client projects, and an editorial team can identify queries where content or authority needs improvement.
Its usefulness depends on defining the context: market, country, competitors, and queries to monitor. The platform provides signals for an SEO strategy, but it does not replace business analysis or data validation. More information is available on the official Semrush website.