Semrush Release Notes

Last updated: Jan 16, 2026

  • Jan 15, 2026
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      Jan 15, 2026
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      Jan 16, 2026
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    Query Fan-Out Analysis Comes to Semrush Enterprise AI Optimization, Revealing the Search Signals Behind AI Responses

    Semrush Enterprise unveils Query Fan-Out Analysis, a new AI Optimization feature that exposes the Google queries underpinning AI responses and shows how they drive visibility. It bridges AI prompts and SEO strategy to boost enterprise reach and targeted terms.

    New capabilities identify the background queries made by AI models, which are run through search engines. This helps brands identify further terms to target for AI visibility and align their SEO and GEO strategies
    Semrush Enterprise has announced the release of Query Fan-Out Analysis, a new feature within AI Optimization (AIO) that reveals the Google search queries that fuel AI responses in systems such as ChatGPT.
    The feature help address a growing challenge for enterprise marketers. While AI discovery is an increasingly important customer touchpoint, the background queries that AI models run to formulate their answers are hidden to brands.
    Query Fan-Out Analysis brings transparency to this process, revealing this new layer of fan-out queries to help teams understand how AI systems retrieve information, additional terms to target, and where SEO performance directly impacts AI visibility.
    AI Answers Are Built on Layers of Queries
    When users prompt AI systems, the response they see is rarely based on one search alone. Instead, large language models break prompts into multiple related terms, retrieve results from Google, and synthesize the information from these into a single answer. This is known as query fan-out.
    Semrush research shows that appearing consistently across these underlying queries increases the likelihood to be cited or surfaced in AI responses, even when they are not the top-ranked result for the original prompt.
    However, until now, marketers lacked visibility into what the fan-out queries were for the key prompts being tracked. As well as which of these queries matter most and which competitors were best positioned for these.
    Making AI Visibility More Actionable
    Query Fan-Out Analysis exposes the search behavior that shapes AI answers by revealing:

    • The Google search queries AI systems rely on to generate responses
    • The domains ranking for each fan-out query
    • How frequently competitors appear across those queries
    • Where brands are missing from high-impact SERPs
      This allows teams to better understand and act on the search signals that influence AI responses, treating these terms as keywords and utilizing the SEO tactics they already understand and control.
      Bridging AI SEO and SEO
      The release reinforces a central pillar of the search industry: AI search and SEO are not separate disciplines. Indeed, they’re intrinsically linked.
      SEO best practices have a positive influence on AI visibility. But strong rankings for a single keyword don’t guarantee visibility in AI responses.
      At the same time, brands that focus exclusively on AI prompts without strengthening search performance risk missing the underlying drivers of AI visibility.
      Query Fan-Out Analysis enables teams to better:
    • Prioritize optimization based on their impact on AI responses
    • Identify competitive gaps across supporting and adjacent queries
    • Align content and search strategies with how AI systems retrieve information
      When used alongside Enterprise SEO automations such as keyword gap analysis, content optimization, and position tracking, the feature helps foster a single, connected digital visibility strategy.
      Built for Teams Managing Diverse Search Initiatives
      Query Fan-Out Analysis is designed for enterprise organizations or growing teams managing visibility across multiple brands, domains, and markets.
    • SEO managers gain clarity on which rankings influence AI responses and where optimization will have the greatest downstream impact
    • Content teams can focus creation and updates on topics that shape AI answers
    • Marketing leaders gain greater confidence that AI initiatives are grounded in proven search performance
      The feature provides a practical framework for navigating AI search volatility while continuing to invest in long-term SEO foundations.
      Search Is Expanding & Strategy Must Expand With It
      As search behavior evolves, visibility is no longer earned through a single channel or tactic. Consumers move fluidly between search engines and AI, and brands must understand their performance holistically and optimize for both.
      Query Fan-Out Analysis helps organizations measure, understand, and grow visibility wherever discovery happens, empowering teams to expand upon the SEO strategies that continue to drive results, while building leadership as AI search rises.
      Learn More & Request a Demo
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  • Dec 22, 2025
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      Dec 22, 2025
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    Semrush Enterprise AI Optimization Adds Persona-Based Prompt Generation

    Semrush Enterprise debuts Persona-Based Prompt Generation to create high quality, audience tailored prompts at scale for AI visibility analysis. The feature speeds setup, broadens prompt coverage, and supports persona driven content planning across teams.

    Generate High-Volume, High-Relevance Prompts in Seconds

    Expanded automation helps brands generate high-quality, audience-aligned prompts at scale, strengthening AI visibility analysis and enabling more precise optimization.

    Semrush Enterprise today announced the release of Persona-Based Prompt Generation, new capabilities within its AI Optimization (AIO) solution that helps teams create high-quality prompts tailored to their brand, topics, and audience personas.

    This new feature enables more realistic simulation of user queries across AI search platforms, enabling more accurate visibility tracking and tailoring brand messaging to how different audiences think, search, and decide.

    As the LLMs and user behavior continue to evolve, brands need reliable ways to approximate how their key audiences ask questions, so that they can track relevant prompts and refine messaging to better match these questions.

    Persona-Based Prompt Generation fills this gap by creating informed prompts, helping teams improve project coverage and relevance while working within a volatile and rapidly shifting channel.

    Teams simply input their brand, domain, and key topics, before adding additional audience characteristics like:

    • Goals (e.g., research, compare options, get support, making purchase)
    • Budget sensitivity (budget-conscious to premium-focused)
    • Experience level (beginner to expert)
    • Decision factors (price, quality, convenience, brand reputation)

    This greatly reduces the manual effort required, while creating more accurate prompt sets. Brands can run more tailored analyses that support persona-driven content planning.

    Overall businesses gain:

    • Enhanced data quality for AI visibility assessments by expanding prompt coverage.
    • Support for more realistic scenario testing, acknowledging that AI behavior varies and evolves.
    • Accelerated setup, reducing hours of manual ideation to seconds.
    • Projects stay aligned with brand positioning and real-world user motivations.

    Supporting Strategy for Multiple Marketing Teams

    Persona-Based Prompt Generation provides targeted advantages across teams:

    • Brand & PR gain visibility into how different audiences ask about their brand or competitors in AI chatbots.
    • Content receives ready-to-use question sets for AI-informed content planning, aligned with buyer journey stages.
    • SEO gets scalable, intent-rich prompts to power more accurate AI search analysis.

    By offering a unified prompt creation workflow, the feature supports cross-functional teams working to understand and influence how brands appear across AI-driven discovery channels.

    A Starting Point for Tailored AI Visibility Strategies

    Semrush Enterprise continues to lead AI search innovation. Persona-Based Prompt Generation is an important step toward enabling enterprises to build richer, more realistic AI visibility strategies while maintaining strategic grounding.

    Learn more about Prompt Generation in AIO

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  • Dec 17, 2025
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      Dec 17, 2025
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    Semrush Launches Official App in ChatGPT, Offering Users Direct Access to Semrush Data

    Semrush unveils its official app in ChatGPT, letting marketers access live Semrush data and intelligence directly within AI prompts. With one-time auth, users can query APIs, automate reporting, and build AI-driven workflows securely inside ChatGPT.

    The official Semrush app in ChatGPT enables in-context access to trusted visibility and Semrush market data

    Semrush (NYSE: SEMR), the leading online visibility management SaaS platform, today announces the launch of its official app in ChatGPT. This integration enables marketers, SEO teams, and marketing analysts using Semrush to access live Semrush data and intelligence directly within ChatGPT, streamlining daily tasks without requiring users to switch between applications.
    Marketers today win with data and speed – they must quickly sift through large data to draw relevant insights and determine their next move. The Semrush app in ChatGPT enables them to operate intelligently and efficiently, all within the ChatGPT interface. With the App, Semrush users can access enterprise-grade intelligence through a simple prompt. It’s a major step toward making AI Optimization, SEO, and competitive intelligence faster, clearer, and fully integrated into everyday workflows.”
    Vitalii Obischenko, Chief Product Officer at Semrush

    A Streamlined Way to Bring Semrush Intelligence Into AI Workflows

    The Semrush app provides ChatGPT users with fast, frictionless access to Semrush data, real-time explanations within each prompt, automated reporting as needed, and secure controls that ensure data visibility based on user permissions. Users authenticate once in Semrush, and immediately access proprietary data upon opening ChatGPT.
    The new integration reflects the maturity of Semrush’s OpenAI Apps Software Development Kit (SDK) and Model Context Protocol (MCP) infrastructure and enables organizations to securely connect their Semrush data to the Semrush app in ChatGPT, eliminating the need for scripts, engineering support, or manual API work. Teams can now query Semrush APIs, automate reporting, and build AI-driven workflows using ChatGPT and OpenAI Agent Builder.

    High-Value Ways Top Marketers Are Using Semrush Data in ChatGPT

    As teams begin adopting the Semrush app inside ChatGPT, several high-value workflows are already emerging across SEO, content, and competitive analysis:

    • Automated Competitive Monitoring:
      Users can pull Semrush traffic, ranking, and visibility metrics on demand—alerting teams to competitor shifts as they happen.

    • Data-Driven Content Briefs in Seconds:
      Users can instantly create outlines, keyword clusters, and gap analyses using Semrush metrics to anchor content planning in real demand.

    • Hands-Off Reporting Workflows:
      Agents can assemble recurring SEO or market performance reports using live Semrush data and deliver them directly to Google Docs, Notion, Slack, or email.

    The Semrush ChatGPT app enables enterprise-level visibility analysis across virtually any domain, subdomain, or folder. It’s a comprehensive way for Indeed to understand search visibility across huge sites and entire industries.”
    Gus Pelogia, SEO Product Manager, Indeed

    Availability

    The Semrush app is now available inside ChatGPT and can be used by Semrush customers on Enterprise, EDU, Business, Pro, and Plus plans. Availability may vary by region, and full details are provided in the documentation.

    Set up Semrush App in ChatGPT

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  • Dec 11, 2025
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      Dec 12, 2025
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    Semrush Enterprise AI Optimization Adds New AI Search Forecasting Capabilities

    Semrush launches AI Optimization forecasting, a new feature that quantifies potential gains in traffic, reach, and brand mentions across major LLMs. It enables data backed prompt prioritization and smarter AI visibility planning for brands and marketers.

    AI Optimization forecasting features

    AI Optimization’s (AIO) new forecasting features help brands model potential growth across traffic, reach, and mentions for transparency and clearer prioritization. All grounded in Semrush’s market-leading data.

    Semrush Enterprise today announced the launch of forecasting for AI Optimization, new capabilities that quantify the potential growth a brand can unlock across LLMs. The analysis translates prompt-level gaps into projected gains in traffic, audience reach, and brand mentions, giving teams a forward-looking view of their achievable AI visibility gains.

    As AI discovery accelerates, marketers know they’re losing ground where their brands fail to appear in AI responses. Yet until now, they’ve lacked a way to judge that opportunity or understand which prompts matter most for targeting placement in. AIO’s forecasting capabilities help close that gap, providing teams with data-backed projections that support smarter prioritization and more informed strategic planning.

    A Strategic Tool for Planning, Resourcing, and Prioritization

    AI search is evolving rapidly and no model offers guaranteed outcomes. AIO acknowledges this reality, helping provide guideposts through directional indicators. The automation analyzes prompt gaps that limit brand presence, then models what growth becomes attainable if those gaps are filled. Brands can forecast:

    • Additional traffic captured by closing prompt gaps
    • Audience reach unlocked over time
    • Potential brand mentions across major LLMs
    • High-impact prompts worth targeting first
    • Changes in growth trajectory as visibility improves

    Built for Teams That Need Clarity in an Unpredictable Channel

    AIO’s new forecasting capabilities give SEOs, brand managers, and marketing strategists a more grounded way to justify investments and focus efforts where they’re most likely to create the strongest lift:

    • Brand & PR managers can finally quantify potential visibility gains from branded initiatives and model how reach is likely to evolve over time.
    • SEO leaders can identify which prompt gaps will drive the highest increases in AI visibility and allocate resources accordingly.
    • Strategy and marketing leads gain a forecastable view to inform planning and set realistic expectations with stakeholders.

    Until now, teams have lacked a way to quantify where growth is most possible in AI search. AIO now reveals these opportunities with clarity.

    Supporting Smarter AI Search Strategy

    AI search forecasting deepens Semrush’s leadership in AI search by offering enterprise brands unique insight to their visibility and growth potential. It serves as a planning companion to help enterprises act with confidence throughout AI search’s continued evolution.

    Learn more about AI Optimization and the new forecasting feature

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  • Dec 1, 2025
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    Semrush Enterprise AI Optimization Expands AI Search Tracking to Microsoft Copilot

    Semrush expands Enterprise AI Optimization with Microsoft Copilot integration, delivering complete cross‑LLM visibility for brands. This deepens AI search performance insights across the Microsoft ecosystem, enabling smarter SEO, brand strategy, and growth opportunities.

    New integration deepens market-leading LLM coverage, giving brands a more complete view of their AI search visibility.

    Semrush Enterprise AI Optimization (AIO) now includes complete visibility tracking and optimization capabilities for Microsoft Copilot. This expands the solutions coverage further across major LLMs and further cements its role as the industry’s most comprehensive AI search performance solution.

    This enhancement gives marketers visibility into how their brands appear inside the Microsoft ecosystem, where Copilot is embedded across millions of work devices, personal PCs, and software. The result: a more complete, more accurate, and more actionable picture of a brand’s true AI presence.

    A More Complete View of AI Discovery

    With Copilot’s integration, AIO now expands the view available to brands into one of the most widely distributed AI environments. This matters for enterprise brands, because every new surface where users search represents another place to lose—or gain—market share.

    Deepening Market Leadership Through Innovation

    This update reinforces Semrush Enterprise’s position as an innovation leader in AI search intelligence.

    This is a meaningful expansion that sharpens the accuracy and strategic value of the entire AIO platform. With each new model added, enterprises get even more reliable, holistic intelligence to guide content, SEO, and brand strategies.

    Even More Granular, Holistic Performance Analysis

    By integrating Copilot, AIO now offers the most complete multi-LLM visibility dataset available, giving enterprise brands the ability to:

    • Track AI visibility holistically across further major AI platforms
    • Benchmark competitive position with greater precision
    • Identify new growth opportunities emerging within the Microsoft ecosystem
    • Connect SEO, content, and brand investments to Copilot-specific outcomes

    AIO: The Foundation for Future-Ready Search Strategy

    As AI search continues to evolve, enterprise brands need intelligence that keeps pace.

    Adding Microsoft Copilot support is another step toward delivering the most robust, enterprise-ready AI search tracking on the market—a unified view of SEO and AI search performance that no other vendor provides.

    See how AI Optimization can help your brand strengthen AI visibility,

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  • Nov 24, 2025
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      Nov 24, 2025
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      Nov 25, 2025
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    Semrush Enterprise AI Optimization Launches New Content Audit & Optimization Capabilities

    Semrush Enterprise debuts AI Optimization with new Content Audit and Content Optimization to audit pages, map to AI prompts, and boost visibility in AI-driven search. It delivers live AI scoring, gap analysis, and actionable recommendations to build AI-ready content.

    New capabilities in Semrush Enterprise AI Optimization help brands audit and optimize content for maximum visibility across LLMs

    Semrush Enterprise launches new Content Optimization capabilities for its AI Optimization solution. These breakthrough features bridge the gap between existing content strategies and the rapidly evolving landscape of AI-driven search and helps content teams systematically audit, optimize, and deliver their entire strategies in one place.

    AI Search’s New Content Challenges

    As ChatGPT, AI Mode, and Perplexity reshape how users discover information, brands face critical questions: does their existing content work for AI search? How can they effectively optimize for this channel?

    While search engines rank entire pages, AI search operates differently: models explore your content through search mechanisms, then evaluate whether specific sections provide value worth citing.

    This creates a dual optimization challenge. One that demands a new approach to content strategy and the need to evaluate every page's readiness for AI citation across multiple angles and topics.

    AI Optimization gives teams data-backed guidance, showing exactly where their content stands with AI models, and providing concrete steps to be included in all the relevant conversations.

    Content Audit: Connect Your Content to AI Opportunities

    Content Audit scans thousands of your highest-performing pages and maps them against relevant AI prompts, revealing the true state of your content's AI readiness. Using advanced embedding-based vector analysis, the tool identifies:

    • Prompt-Page matches: Distribution of strong, adequate, and weak content fits against AI prompts.
    • Coverage gaps: High-value AI prompt opportunities where your content is absent or underperforming.
    • Improvement pathways: Recommendations including Schema.org markup audits and optimization guidance tailored to your target market.
    • Prioritization framework: Clear fit scores that help teams focus on the highest-impact improvements first.

    The in-depth audits examine how well each page addresses the questions, topics, and subtopics that AI systems recognize, for comprehensive coverage.

    Content Optimization: Build Pages That Win AI Visibility

    Content Optimization then transforms insights into action. These features evaluate content specifically for AI, based relevance, structure, and completeness, delivering:

    • Topic guidelines: Comprehensive briefs showing what your content should include for maximum topical coverage.
    • Live AI visibility scoring: Question Score (percentage of key questions your content addresses), Cluster Coverage (breadth of LLM-recognized subtopics covered), Structure Score (content clarity and AI readability)
    • Supporting questions and subtopics: Ensure your content answers all essential aspects of user queries.
    • AI writing assistant: Generate optimized content from scratch using best practices for AI search.

    Analysis includes actual AI responses and clusters related topics, providing detailed guidelines. This enables content teams to strengthen both completeness and overall authority.

    Built for Future-Ready Brands

    With AI Optimization’s new content capabilities, brands can finally see how their content performs across AI search and take concrete action to improve their visibility.

    As search continues its rapid transformation, content teams now have the strategic foundation they need to compete and win.

    Book a Demo Of AI Optimization

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  • Nov 7, 2025
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    Semrush Enterprise AI Optimization Launches AI vs SEO Comparison to Show Performance Across Search Engines and AI

    Semrush unveils AI vs SEO Comparison Beta, uniting AI and SEO visibility in one dashboard. This industry‑first tool benchmarks AI prompts against keyword rankings, with dual leaderboards and advanced filters to drive unified optimization.

    Industry-first reporting unifies AI and SEO visibility, giving marketers a complete understanding of their search performance.
    Semrush launches AI vs SEO Comparison (Beta), one of the first solutions on the market that directly compares a domain's performance in large language models against its traditional search engine rankings.
    This unified report addresses a critical gap in search marketing: understanding how brands perform across both the established world of SEO and the emerging opportunity of AI search.

    Dividing Search Puts Visibility and Revenue at Risk

    Strong performance in Google search doesn't guarantee visibility in ChatGPT, AI Mode, or Perplexity responses. Conversely, brands devoting all their attention to AI search may be missing current opportunities in search engines, where 88% of search traffic is.
    While Google and AI search require their own strategies for visibility and like-for-like performance comparisons are difficult to make, until now, marketers lacked the tools to track both search formats holistically.
    But now teams can identify where gaps exist and determine which optimization investments would drive the greatest impact.

    A Complete Performance Overview in One Place

    AI vs SEO Comparison synthesizes performance data from search engines and major AI models into a single, actionable view. The dashboard delivers:

    • Side-by-side share of voice trends: Track AI Share of Voice and SEO Share of Voice over time to identify patterns, gaps, and opportunities
    • Prompt vs keyword rankings comparison: Directly compare how your tracked AI prompts perform versus search keywords
    • Dual leaderboards: See competitive positioning across both search formats, revealing where competitors are winning
    • Advanced filtering: Segment insights by country, domain, and custom tags to focus on specific markets or business units
      This unified intelligence helps brands and marketing teams to confidently answer: Where are we winning? Where are we losing? And where should we focus our optimization efforts?

    Built for the Modern Marketing Stack

    The AI vs SEO Comparison is available in workspaces with both an AIO project and an SEO project for the same domain and country, alongside active subscriptions for both products.
    This seamless integration ensures marketers are equipped to act on insights across both channels, turning visibility intelligence into measurable performance improvements:

    • SEO Managers can compare domain rankings across search and AI to identify gaps and understand how SEO strategy impacts AI visibility
    • Brand Managers can track brand representation consistency across both traditional and AI-generated results, ensuring coherent presence across channels
    • Executives and CMOs gain a complete organic performance view, seeing overall visibility and its revenue impact

    Pioneering the Future of Search

    Search is no longer a single channel but a multi-dimensional ecosystem requiring sophisticated, unified intelligence. As the first solution to directly benchmark AI performance against search rankings, the AI vs SEO Comparison answers this shift and ensures marketers can understand and optimize online visibility in a comprehensive way.
    Semrush continues its leadership in helping brands navigate the convergence of traditional search and AI discovery, ensuring marketers have the intelligence and tools needed to win across every channel where their customers search.

    Book a demo of AI Optimization

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  • Nov 7, 2025
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    Traffic & Market Toolkit Expands with AI Traffic and Google AI Mode

    Semrush unveils AI Channels in the Traffic & Market Toolkit, adding AI Traffic and Google AI Mode across all dashboards and the Trends API. The update lets you compare AI-driven vs traditional traffic, track shifts, and benchmark AI impact in real time.

    The Semrush Traffic & Market Toolkit has introduced traffic data for AI Channels across the entire toolkit.

    This October 2025 update allows users to understand how traffic from AI assistants and Google’s AI Mode experience affects competitor visibility and industry-wide web trends.

    No more speculating on whether ‘AI is killing traffic.’ Now, you can track it, measure it, and see what’s really happening – across every dashboard.

    Turn AI Disruption into Data-Driven Clarity

    With this release, two new AI-focused traffic channels are fully integrated across all major Traffic & Market reports:

    • AI Traffic shows visits coming from large-language-model chat interfaces such as ChatGPT, Gemini, Claude, Copilot, Perplexity, and 20+ more.
    • Google AI Mode shows clicks originating from links displayed in Google Search when AI mode is enabled.

    These channels now appear alongside Organic Search, Referral, Social, Email, Display, and Direct across all major dashboards – including Traffic Analytics, Daily Trends, Market Overview, and other dashboards. The data is also fully integrated into the Semrush Trends API.

    The result is a single, connected view of every major traffic source, revealing how AI-driven discovery is reshaping competitor visibility in real-time.

    Finally, Reveal How AI Is Really Driving the Market

    Semrush now delivers real, measurable visibility into how online search & discovery is changing.

    With AI Channels, you can:

    • Compare AI-driven and traditional traffic sources in one place to understand how discovery patterns are evolving.
    • Track AI-driven shifts and growth trends for individual competitors to see who’s winning the AI race.
    • Benchmark industry-wide AI impact using recalculated historical data from 2022–2025.
    • Quantify how AI is transforming the overall marketing channel mix.

    By bringing AI-driven and search data into a unified framework, Semrush provides marketing teams with the clarity to react with precision, allocating budgets, optimizing content, and anticipating where discovery is headed next.

    Available Now

    AI Traffic and Google AI Mode are live in all Traffic & Market dashboards and available through the Semrush Trends API. No setup or extra cost required.

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  • Nov 3, 2025
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      Nov 3, 2025
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    Semrush Trends API Now on Snowflake Marketplace: Competitive Intelligence at Snowflake Speed

    Semrush launches Trends API in Snowflake Marketplace, offering instant web traffic and competitive insights inside Snowflake with zero ETL and no extra feeds. Pre-built cohorts like S&P 500 and Retail Top 100 enable fast benchmarking and data-driven expansion decisions.

    Semrush Trends API in Snowflake Marketplace

    As data marketplaces explode in popularity, companies are racing to bring external datasets into their AI and market intelligence workflows.
    In fact, traffic to leading data marketplaces has jumped ~500% in two years, while Snowflake.com alone saw a 136% increase over the same period.
    (Global, Jun 2022–Jun 2025; Source: Semrush Traffic & Market).
    Now, Semrush is joining that movement.
    The Semrush Trends API datasets are available directly in Snowflake Marketplace and free to test. This integration gives users instant access to web traffic and competitive intelligence right inside Snowflake, with zero extracts, no separate feeds, and no waiting.

    Why This Integration Matters

    Speed is the new edge.
    With zero-ETL (extract, transform, load), marketers can move from curiosity to insights in minutes. No more external contracts or feed uploads – just open Snowflake, query, and scale as needed.
    And that speed matters more than ever.
    In just a year, AI-assistant referral traffic to major retailers has surged: amazon.it (+1,444%) and homedepot.com (+767%) are leading examples. When discovery channels evolve this fast, access to live traffic and benchmarking data helps brands spot shifts before competitors even notice them.
    With access to this data, teams can benchmark performance and spot discovery shifts and channel reallocation opportunities before competitors adapt.

    What’s inside

    Semrush structures all datasets for immediate analysis and use, and refreshes them regularly. Here are two of the pre-built cohorts that users can look forward to accessing:

    • S&P 500, NASDAQ-listed, and AI companies: Traffic summaries by domain for easy competitive benchmarking and market momentum analysis.
    • Retail Top 100: Comprehensive datasets including traffic summaries, top pages, traffic sources, and geographic distribution for expansion planning and localization strategies.

    How to instantly grab a competitive edge

    Benchmark your cohort.
    Impress your ELT with a concise visual of leaders and laggards in your space. Filter by industry cohorts (S&P 500 / NASDAQ / AI) to rank momentum and spot outliers worth deeper analysis.

    Prioritize countries for expansion.
    Get a data-backed country short-list in minutes. Use Retail Top 100 geographic distribution data to see where competitors over-index and to prioritize market entry decisions.

    Track AI-assistant referrals.
    Secure swift budget reallocation approval by presenting executives with emerging AI-assistant referral insights that wouldn’t normally surface until quarterly report time.

    Not a Snowflake customer? Not a problem.
    Test Semrush Trends API on Snowflake Marketplace for free. No external contracts or separate feeds required to start.

    Explore Trends API Data Via Snowflake

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  • Oct 29, 2025
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    Semrush Launches Semrush One, Empowering Marketers to Win Every Search in the AI Era

    Semrush launches Semrush One, unifying SEO and AI Search across Google and major LLMs into one visibility platform. It offers three tiers with AI visibility, tracking, and API, backed by huge data sets.

    Semrush One: The Unified Solution for Every Search

    Marketers now have one solution to win in digital brand visibility– both SEO and AI Search– across Google Search, AI Overviews, ChatGPT, Gemini, Perplexity, and more.

    Semrush (NYSE: SEMR), the leading SaaS platform for online visibility management, today announced the launch of Semrush One. This new solution unites traditional SEO and AI Search into a single offering to help brands measure and grow performance across virtually every search – from Google to AI discovery engines, including ChatGPT, Gemini, Perplexity, and other major large language models (LLMs).

    With the rise of AI, mastering online visibility is increasingly complex. Marketers now have access to the best data on the market with the widest coverage available in a single application. Semrush combines extensive, trusted SEO data (including 142 keyword databases, 808M domains, and the largest keyword and backlink databases, 27.5B and 43T, respectively) with one of the largest US AI visibility datasets (90M prompts, and growing every day), and includes it across all Semrush One subscriptions. This empowers marketers to have a full picture of how their brands show up, act faster to improve positions, and ultimately grow revenue in a measurable way.

    "With the increasing adoption of LLMs and the rapidly evolving world of search, online brand visibility has become a boardroom topic. Search Engine Optimization continues to be tablestakes, but marketers now need new tools to navigate the always-changing AI visibility equation.We’re excited to build on nearly two decades of industry leadership in search, and empower marketers to take control of their visibility in the new era with Semrush One.”

    Bill Wagner, CEO of Semrush

    Semrush One: The Unified Solution for Every Search

    Semrush One is an integrated visibility intelligence solution for the AI era—bridging classic SEO and emerging AI search ecosystems. It builds upon Semrush’s renowned SEO capabilities and layers in AI visibility tools, including visibility tracking across leading LLMs, brand presence and sentiment measurement, brand perception management, and competitive insights.

    “Semrush has always helped marketers see where they stand – now we help them shape what comes next. By combining SEO and AI into one intelligence layer, Semrush One gives marketers the power to influence every moment of discovery and turn insight into performance. It’s the advantage modern marketing was missing."

    Andrew Warden, Chief Marketing Officer at Semrush

    Starting today, Semrush One is available in three tiers – Starter, Pro+, and Advanced – offering the scalability for every team size and business need:

    • Starter: Builds upon industry-leading traditional SEO capabilities and adds AI Visibility tracking, prompts, and keywords tracking, competitor insights, and AI-ready site audit. Created for those beginning their SEO and AI visibility journeys.

    • Pro+: All capabilities listed in Starter, with higher limits, as well as historical data, content optimization, keyword cannibalization analysis, multi-location tracking, and device tracking. Designed specially for growing brands looking to scale SEO and AI Search impact.

    • Advanced: For those who need maximum power – all the features of Starter and Pro+, as well as API access, share of voice data, and advanced automation.

    For enterprise teams requiring even more power and sophistication with brand tracking across platforms, Semrush offers AI Optimization.

    Made by Semrush, Proven by Semrush

    Before launch, Semrush tested the AI visibility capabilities on its own brand to validate impact. Within just one month, the company nearly tripled its AI share of voice – from 13% in July 2025 to 32% in August – and improved non-branded queries from 40% to 50%.

    The results reveal how quickly LLMs react when compared to traditional SEO cycles, with visibility improving in days, not months or even quarters. These findings now guide how Semrush’s online visibility team approaches AI-driven content updates, cross-platform expansion, and real-time performance tracking.

    Semrush is excited to build on a legacy of search leadership and help marketers navigate the new AI search era. Introductory pricing starts at $165/month when billed annually for new customers.

    Learn more about Semrush One here

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