SEMrush
B2B marketing intelligence software for SEO, ads, and competitive research.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Semrush Holdings, Inc.
- Entity type
- COMPANY
- Founded
- 2008
- Headquarters
- 800 Boylston Street, Suite 2475 Boston, MA USA 02199
- Company size
- 201–500
- Market role
- MarTech Vendor
- Ticker
- SEMR
- Official website
- semrush.com
What SEMrush does
Semrush operates a multi-product B2B SaaS model built around proprietary search, advertising, and competitive intelligence datasets. It creates value by aggregating large-scale keyword, backlink, ranking, ad, and visibility data into software workflows used by marketers and agencies for planning, optimisation, benchmarking, and reporting. The platform then expands account value through adjacent modules such as advertising research, AI visibility tracking, influencer analytics, API access, and partner apps.
Category differentiation
This is the B2B marketing software company, not a standalone ad network, media owner, or consumer search engine. It competes in SEO, search intelligence, and marketing workflow software rather than operating the search platforms themselves.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Semrush is a B2B software company providing a subscription-based marketing intelligence and workflow platform centred on SEO, paid search research, competitive advertising intelligence, influencer discovery, and related analytics. Its products help marketers, agencies, and in-house teams research keywords, audit websites, monitor rankings, analyse competitor campaigns, and increasingly measure brand visibility inside AI-driven search and chat environments. The company makes money primarily from recurring software subscriptions, with additional revenue from add-on toolkits, API access, usage expansions, and third-party applications distributed through its App Center. Its paying customers are businesses rather than consumers, especially SEO professionals, performance marketers, agencies, developers, and enterprise marketing teams that need search, content, and competitive data in one platform.
Company news briefing
Briefing updated:
Following its acquisition by Adobe, Semrush continues to monitor search ecosystem stability, reporting limited initial volatility from Google's August 2026 Search Spam Update. This analytics focus supports Adobe as it navigates a 44% post-acquisition rise in administrative costs and prepares for a leadership transition, with Anil Chakravarthy set to become CEO on 1 December 2026. Chakravarthy’s appointment reinforces Adobe's strategic focus on agentic AI and enterprise customer journeys, where Semrush’s tracking capabilities remain vital for safeguarding brand visibility.
Business model & monetisation
The core monetisation model is recurring SaaS subscription pricing, sold in tiered plans based on feature access, seat counts, and usage limits. Semrush also monetises through paid add-on toolkits, premium data access, API subscriptions, and incremental charges for expanded capacity or specialist capabilities. A further revenue layer comes from its App Center, where users can subscribe to additional partner or proprietary applications through the broader Semrush ecosystem.
- Core SEO and marketing platform subscriptions
- Software Subscription
- Specialist add-on toolkits and premium modules
- Software Subscription
- API and expanded data access
- Pay-per-Use
- App Center partner and add-on subscriptions
- Software Subscription
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Technology
Competitors & alternatives
- Brandwatch
Enterprise software for social intelligence, search insights and social management.
- Yext
Enterprise software for brand visibility, listings, search and reputation management.
Side-by-side comparisons
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
Rapid AI changes mean GEO is a weekly job now
Search & AI · Recorded impact score: 2/5
This article argues that the rise of AI-generated search responses has made Generative Engine Optimization (GEO) a weekly responsibility for PR, SEO, and content teams. Citing SparkToro data showing 68% of Google searches end without clicks and Pew Research finding only 8% of users click traditional results when AI summaries appear, the author advocates for a unified, weekly workflow. The described agency uses internal tools to surface buyer prompts, coordinates PR, SEO, and content efforts, and monitors live AI search results weekly to adjust strategy. The piece emphasizes that maintaining brand visibility in AI answers requires continuous, cross-functional effort rather than quarterly campaigns.
- SparkToro analysis of Similarweb panel data (first four months of 2026) found 68% of U.S. Google searches end without a click.
- Pew Research found users click a traditional search result in only 8% of visits when an AI summary appears, versus 15% without.
Orange Logic SVP: Agentic Systems Are Future of Content Operations
Content Operations · Recorded impact score: 2/5
MarTech's season four premiere of Conversations with MarTech features Misti Vogt, SVP of engagement at Orange Logic, discussing the future of content operations. Vogt argues that traditional digital asset management (DAM) platforms are failing due to the massive volume of content and evolving regulations like the EU AI Act. She notes that ownership of DAM platforms is shifting back to IT departments, as AI-driven ecosystems require robust information architecture and data context. Content must become 'self-aware,' carrying structured metadata about its creation, target audience, lineage, and performance. Vogt introduces the concept of 'brand agents'—AI agents that know brand guidelines, allowing creatives to query them or submit files for automated compliance checks, reducing time to market. The episode also covers B2B marketing strategy, authenticity, and consumer-led personalization.
- Misti Vogt, SVP of engagement at Orange Logic, states traditional digital asset management platforms are failing in the current content landscape.
- According to the article, DAM platform ownership is shifting back to IT departments due to AI-driven information architecture needs.
Marketers Are Media Measurement's Biggest Problem
Media Measurement · Recorded impact score: 2/5
The article argues that marketers themselves are the primary obstacle to reliable media measurement, not just walled gardens. It claims agencies, brands, and platforms each configure measurement around their own goals, leading to fragmented data that fails to reconcile. The author recommends three changes: structuring campaigns from the outset to support multi-touch attribution (MTA), marketing mix modeling (MMM), and incrementality testing; adopting common industry taxonomies and standards such as those from IAB and IAB Tech Lab; and requiring independent certification or accreditation from bodies like the Media Rating Council. The piece warns that without a common language, AI will confidently scale flawed data. Marketers are urged to enforce standards in partner selection and funding decisions, making transparency and independent review routine requirements.
- The article identifies marketers' own system configuration and metric definitions as the root cause of measurement fragmentation.
- It recommends building campaigns to support multi-touch attribution (MTA), marketing mix modeling (MMM), and incrementality testing before launch.
Stop Treating Lead Quality and Volume as Opposites
Lead Generation · Recorded impact score: 2/5
This article argues that lead quantity and quality are not competing strategies but different growth objectives requiring tailored inputs and signals. It advises marketers to clarify whether the business needs volume, quality, or revenue, then optimize advertising platforms accordingly. For volume, expand keywords, audiences, and reduce friction. For quality, feed deeper-funnel data like qualified leads or CRM outcomes back into Google Ads and Meta's Conversions API to train algorithms on genuine customer signals. The piece emphasizes monitoring multiple metric layers (volume, quality, business) and using creative as a quality filter. It also suggests giving different channels distinct roles rather than forcing all toward the same CPL, and establishing quality floors while scaling within boundaries.
- Google supports qualified-lead and converted-lead conversion goals to balance lead volume and quality.
- Meta's Conversions API allows advertisers to send down-funnel CRM data for optimized lead targeting.
Marketers Misuse Influencer Marketing: Awareness vs. Sales
Influencer Marketing · Recorded impact score: 2/5
New research from Sprout Social and the Journal of Business Research reveals a critical disconnect: consumers increasingly buy based on influencer recommendations, but most marketers still treat influencer campaigns as an awareness channel. Two-thirds of consumers made an influencer-driven purchase in the past year, yet only 24% of marketers cite direct sales as a primary goal. Algorithmic feeds are reducing the importance of follower counts, and lower-funnel strategies that give creators creative freedom prove more effective for driving sales. Marketers are increasing budgets without aligning metrics to desired outcomes, risking inefficient spending.
- Two-thirds of consumers made at least one purchase based on an influencer recommendation in the past year.
- Half of marketers say brand awareness is a primary reason for using influencer marketing, vs. 24% citing direct sales.
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Questions about SEMrush
What is Semrush?
Semrush is a B2B software platform for SEO, paid search research, competitor intelligence, and related marketing analytics.
Who uses Semrush?
Its main users are SEO teams, digital marketers, agencies, PPC specialists, developers, and enterprise marketing departments.
How does Semrush make money?
It earns revenue mainly from recurring software subscriptions, plus add-ons, API access, and paid applications within its ecosystem.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
21 publicly documented primary sources and citations linked across the market graph.
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