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Semrush Holdings, Inc. is an American software company and wholly owned subsidiary of Adobe Inc. The company's platform provides tools for search engine optimization (SEO), AI search visibility, competitor analysis, content marketing, paid advertising, local SEO, website auditing, reporting, and third-party integrations.
The analysis highlights History, Art and Companies as prominent areas in the source structure around Semrush.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Semrush shows recurring relationship patterns in the source. For example, Semrush → Acquisitions, Backlinko2022, Brand24, Datos, Exploding Topics, Kompyte, Ryte, Search Engine Land2024, SEO, Third Door Media, Traffic Think Tank Another extracted example is Semrush → Amazon, Baidu, Firefox, Greycroft, In April, It, Microsoft, SEM, Seodigger, SeoQuake Company, Siguler Guff. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
inc company search adobe engine marketing website 2025 2026 platform media 2024 founded oleg shchegolev boston land provides tools optimization
TTTA extracted 42 structured relationships around Semrush. Examples in this analysis include Semrush → Founded → 2008; 18 years ago (2008) and Semrush → Founders → Oleg Shchegolev Dmitri Melnikov. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Semrush | Founded | 2008; 18 years ago (2008) | 1.00 | infobox |
| Semrush | Founders | Oleg Shchegolev Dmitri Melnikov | 1.00 | infobox |
| Semrush | Headquarters | Boston, Massachusetts, United States | 1.00 | infobox |
| Semrush | Industry | Digital marketing software | 1.00 | infobox |
| Semrush | Key people | Oleg Shchegolev (CTO) | 1.00 | infobox |
| Semrush | Key people | Andrew Warden (CMO) | 1.00 | infobox |
| Semrush | Key people | Brian Mulroy (CFO) | 1.00 | infobox |
| Semrush | Number of employees | ~1,600 (2024) | 1.00 | infobox |
| Semrush | Parent | Adobe Inc. (2026–present) | 1.00 | infobox |
| Semrush | Revenue | US$443.6 million (2025) | 1.00 | infobox |
| Semrush | Type | Subsidiary | 1.00 | infobox |
| Semrush | Website | www.semrush.com | 1.00 | infobox |
The concept neighborhoods around Semrush bring nearby vocabulary together. In this analysis, examples include Company, Door and Third. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Semrush, one of the stronger structural bridges in this analysis connects Semrush with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Semrush to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Semrush · EN edition · Analysis: TopicsToTalkAbout