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Ce que Semrush a publié en 2025

25 mises à jour · 2025

Répartition des signaux — 2025

5 content pieces·5 feature updates·1 events·1 new integrations·1 technical updates

Activité sur 2025

janv.18
févr.0
mars2
avr.0
mai0
juin0
juil.0
août0
sept.1
oct.0
nov.2
déc.2

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Top mises à jour de 2025

/semrush.com

Adobe to Acquire Semrush

Semrush has announced a new brand identity aimed at positioning itself as a leader in the AI-driven search era. The rebranding effort reflects the company’s strategic shift to emphasize its capabiliti

/semrush.com

Rachel Handley

The article is a profile of Rachel Handley, a Senior Content Writer at SEMrush with over 12 years of experience in content marketing and SEO. Previously, she served as Head of Content at a digital mar

/semrush.com

Sydney Go

Sydney Go, a Semrush blog editor with over a decade of content experience, has authored multiple SEO-focused articles for the company’s blog. These include guides on Enterprise SEO, Total Addressable

Feature/semrush.com

Google to add AI performance report to Merchant Center

Google introduced a new AI performance insights report in Merchant Center to track visibility across AI-powered shopping experiences like AI Mode and Gemini. The report, rolling out in select countrie

Content/semrush.com

Link Building for SEO: A Guide to the Basics

The article explains link building as a critical SEO strategy where acquiring high-quality backlinks from authoritative and relevant websites can significantly boost organic search rankings. Google tr

Content/semrush.com

What is prompt tracking? (+ 4 prompt types to track)

Semrush defines prompt tracking as monitoring AI system inputs and outputs to assess how brands are represented during customer decision moments. It introduces a prompt portfolio framework with four t

Feature/semrush.com

How We're Driving LLM Visibility at Semrush

Semrush revealed it nearly tripled its AI share of voice from 13% to 32% in one month by implementing a new LLM visibility strategy using its own Enterprise AIO toolkit. The approach focused on bottom

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