Semrush Release Notes

Semrush Enterprise AI Optimization’s (AIO) AI Shopping report

Semrush Enterprise AI Optimization’s (AIO) AI Shopping report now delivers unified merchant and product-level insights across both AI shopping experiences.

Semrush Enterprise today announces the expansion of the
AI Shopping report
in AIO, enabling brands to monitor how their products appear across
ChatGPT Shopping
and
Google AI Mode Shopping
.

As product discovery and ecommerce behavior shift to AI interfaces, brands face a growing visibility gap as their products surface differently across platforms and prompts. Variations occur in ranking, retailer representation, and positioning, yet most brands lack the ability to understand these.

Enterprise AIO addresses this challenge by delivering structured, cross-platform monitoring that turns AI shopping exposure into measurable competitive intelligence.

Unified Monitoring for ChatGPT and AI Mode

The AI Shopping report analyzes which products are recommended by ChatGPT Shopping and Google AI Mode, with a unified data structure that enables direct comparison between environments.

This dual visibility allows brands to answer critical questions:

• Which products are recommended most often
• How highly they rank
• How visibility shifts over time
• Which prompts trigger recommendations
• Which merchants list or surface those products

Teams can dive deeper to assess performance and competitive positioning across platforms by zooming into merchants or products.

Merchant view: Centered on retailer and marketplace visibility. This view highlights which merchants dominate AI shopping exposure, where products are surfaced, and how visibility is distributed across marketplaces.

Product view: Focused on product-level performance across AI shopping prompts. Teams can evaluate recommendation frequency, average position, prompt coverage, retailer presence, and trends over time.

Together, brands gain a holistic understanding of their product’s positioning in AI responses and all the factors shaping this.

Supporting Smarter Product and Content Decisions

For product marketers, category managers, and brand managers, AIO enables strategic monitoring of product visibility, competitor benchmarking, and comparing performance across both platforms.

For SEO and content teams, the insights then extend to revealing which prompts and AI models drive product visibility and aligning content messaging with high-performing shopping queries.

By delivering structured, measurable data, Semrush Enterprise enables brands to move from passive observation to active optimization. This shift is particularly important as AI platforms, and agents, become increasingly embedded in search and as decision makers.

A New Layer of Ecommerce Intelligence

AI shopping is revolutionizing traditional ecommerce channels and reshaping how discovery and comparison happen. Semrush Enterprise provides brands with the clarity needed to navigate this shift strategically.

Learn more about Enterprise AI Optimization and the new AI Shopping report

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New Bot and Agent Analytics capabilities give teams clearer understanding of how search engines and AI crawlers interact with their websites, unlocking new visibility opportunities.
Semrush Enterprise announces new log file analysis capabilities across two solutions: Bot Analytics in Site Intelligence and Agent Analytics in AI Optimization (AIO). Together, these features provide brands with a clearer, more accurate understanding of how search engine bots and AI search bots access and read their websites.
Bot Analytics offers depth and complete technical understanding with coverage for 30 bots (20 search engine and 10 AI) total.
Agent Analytic provides focused context for AI visibility, with targeted views for AI agent access that encourage deeper technical analysis where needed.
Log file analysis captures what simulated crawls cannot: real bot behavior at scale. By analyzing server log data, Semrush Enterprise enables teams to validate access, identify inefficiencies, and reduce visibility risk. All grounded in what bots actually do.

One Foundational Need, Two Complementary Features

While the process of log file analysis underpins both Bot Analytics and Agent Analytics, each is tailored to the use cases of each product.
Bot Analytics in Site Intelligence delivers a comprehensive understanding of website crawl health. Designed as a core capability within SI, it supports deep technical SEO use cases, including crawl efficiency, error detection, and large-scale site diagnostics. Bot Analytics provides two core reports:

• Overview: gives a snapshot of bot activity and crawl patterns
• URLs with bot visits: validates bot access and response behavior at the URL level

This reinforces Site Intelligence as the key solution when conversations focus on site health, crawl optimization, or technical performance at scale.

Agent Analytics in AIO, offers a view focused only on AI bots. This capability is designed to specifically support AI visibility use cases by helping teams understand whether AI agents can access key pages and how they interact with content. It complements, but does not replace, full technical analysis in Site Intelligence.

Both solutions ingest up to 10GB of log data per day with three months of fine-grained data retention, ensuring consistent, enterprise-ready data handling across products. Capacity can also be extended for larger or growing environments, supporting long-term scalability.

Why Log Files Matter More Than Ever

As search and discovery increasingly depend on automated agents, understanding machine-side behavior becomes crucial. Log file analysis allows teams to:

• Confirm which pages bots and agents actually access
• Identify crawl waste and inefficiencies that dilute visibility
• Detect errors or blocked content that may impact search or AI discovery
• Reduce risk by grounding decisions in real-world bot activity

By providing targeted data, Semrush Enterprise gives organizations the flexibility to apply log insights where they matter most—whether optimizing complete technical foundations or supporting AI visibility strategies.

A Unified Vision With Targeted Solutions

Visibility starts with access. If search engines and AI bots can’t access your key content, then your competitor will be showing up instead.
Semrush Enterprise provides log file analysis that’s refined to the different needs of different teams, ensuring brands can pivot between full technical depth and targeted AI context as required.

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

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

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

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

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,

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

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.