by Semrush · semrush.com ↗
Digital marketing suite with AI search visibility features for tracking brand presence in generative answers.
Semrush is a broad digital marketing platform built for teams that need to understand and improve how their brand shows up across search, AI answers, and the rest of the web. Its messaging centers on visibility: finding the keywords people actually search, tracking competitor movement, measuring AI mentions and sentiment, and turning those signals into actions through content, audits, reporting, and campaign planning. For buyers, that means one system can support both day-to-day SEO work and the newer problem of managing brand presence inside generative answers.
The platform is especially relevant for marketing teams, agencies, and enterprise organizations that want more than a standalone point solution. Semrush positions AI visibility alongside SEO, market analysis, local search, backlinks, content creation, and advertising research, which makes it useful for organizations that need shared workflows and common reporting across multiple stakeholders. The supplied materials also show a pricing ladder that starts with free access and extends into higher-volume plans, suggesting the product is meant to scale from exploration to more advanced operational use.
What Semrush helps teams do
At the center of the product is a mix of discovery and measurement tools. Buyers can research keywords, analyze competitors, track rankings, audit technical issues, and create content with AI-aware workflows. On the AI side, Semrush says teams can track prompt-level visibility, monitor brand sentiment, compare share of voice against competitors, and understand which sources and prompts influence whether they appear in AI-generated answers. That combination makes the platform useful for marketers who need to connect classic search optimization with emerging AI discovery behavior.
Who it is for
Semrush is a fit for in-house marketing teams, agencies, and larger brands that care about organic growth, reporting, and competitive benchmarking. It works well when the buying team wants a single platform for SEO, AI visibility, and broader marketing intelligence rather than a narrow tool dedicated to only one channel. Buyers who only need one isolated capability may find the suite broader than necessary, but teams trying to coordinate multiple workflows can benefit from the platform’s reach.
Pricing and packaging
Semrush offers a free plan plus paid tiers that increase in scale and feature depth. The SEO and AI Search plans shown in the pricing page include entry-level, starter, pro, and advanced options, while the Advertising Toolkit is sold separately with Base and Pro plans. Add-ons for extra users, lead generation, and reporting further extend the platform for agencies and teams that need collaboration or client-facing deliverables.
Semrush’s AI visibility capabilities are designed to help teams understand where their brand appears in AI-generated answers and how that presence changes over time. The platform emphasizes prompt-level visibility, sentiment, citations, and competitor comparison so marketers can identify gaps and act on them. It also ties those insights back to the broader SEO and content workflows that influence discoverability. This makes the toolkit useful for teams trying to keep pace with how search behavior is shifting toward AI-assisted answers.
Semrush says its AI Visibility features help you see how often your brand appears in answers from AI platforms such as ChatGPT, Perplexity, Gemini, Claude, and AI Overviews. The product page also says you can track prompt-level visibility and analyze AI market share against competitors.
The features page says Semrush can help you understand how LLMs describe your brand, products, and competitors. It highlights sentiment, accuracy, and the narratives AI reinforces, which can help teams spot reputation or positioning issues in generated answers.
Semrush describes prompt research as a way to discover the prompts your audience uses in ChatGPT, Perplexity, and other AI tools, with volume, intent, and winning brands. The blog article adds that teams can use prompt-level gaps and related topics to monitor visibility over time and improve AI presence.
Beyond AI visibility, Semrush positions itself as a full SEO platform for research, planning, and optimization. The product site and features page emphasize keyword discovery, competitor analysis, rank tracking, technical auditing, and content creation. That combination is aimed at teams that need one place to uncover opportunities and execute on them. For buyers, the main value is reducing the number of separate tools needed to manage organic growth.
Semrush says users can find keywords their customers actually search for, see difficulty, and identify opportunities with real traffic potential. The features page also notes daily rank tracking across locations, devices, and search engines, with SERP feature and competitor movement visibility.
Semrush states that competitor analysis can show how competitors get traffic, rank for keywords, get cited by AI, and run ads. The same workflow is meant to surface weaknesses and opportunities so teams can benchmark performance and prioritize their next moves.
Semrush says its technical site audit tools crawl a site for issues that hurt search and AI visibility, including broken links, slow pages, schema gaps, and crawlability blockers. The blog also notes that its AI-focused audit can help identify issues that limit LLM access to pages.
Semrush also supports broader marketing operations through traffic analysis, reporting, and advertising tools. The homepage highlights market and traffic intelligence, while the pricing pages show reporting add-ons and advertising toolkit plans. This makes the platform relevant not only for SEO teams, but also for agencies and performance marketers who need recurring deliverables and cross-channel context. The result is a suite that can serve both tactical optimization and executive reporting.
Semrush says its Traffic and Market tools help you analyze traffic on any website, benchmark competitors, and unlock deeper audience insights. The site also describes market analysis as a way to understand market size, audience demographics, and traffic dynamics across an industry or region.
The features page says Semrush supports branded reports and dashboards that pull data from across the platform, with scheduled delivery to clients or stakeholders. Its pricing page also lists report add-ons with scheduling, PDF export, integrations, and white-labeling options.
The Advertising Toolkit knowledge base says Semrush offers tools for researching, planning, launching, and optimizing paid ad campaigns, with competitor insights on display, video, and social ads in the Pro plan. The toolkit includes Ads Launch Assistant, Ads AI Agent, Advertising Research, and PLA Research.
Owns organic growth, rankings, and technical search performance
Plans content around search demand and AI-ready topics
Manages reporting, competitor benchmarking, and multi-client visibility
Semrush presents itself as a broad digital marketing platform built around search visibility, with AI visibility now positioned alongside SEO, traffic intelligence, content, local, advertising, and reporting. The homepage says the platform is built on 17 years of search intelligence and is designed to help brands be found across virtually every digital channel.
The homepage describes Semrush as a platform to grow and measure brand visibility across digital channels.
The product site says Semrush One unites SEO and AI visibility in one place.
The features page lists capabilities for keyword research, competitor analysis, market analysis, local search, AI brand sentiment, backlink analysis, prompt research, content creation, technical site audit, digital PR, marketing reports, rank tracking, and AI visibility.
Semrush competes in a crowded SEO and AI visibility market, but the supplied documents position it as a broader platform than point solutions focused only on prompts or mention tracking. The features and homepage emphasize a wider workflow that includes search, AI answers, content, reporting, ads, and market analysis. That breadth suggests it is meant to compete with both SEO suites and newer AI visibility vendors.
These candidates come from measured co-mentions or source-backed alternatives. A full comparison is published only after both products have supporting evidence.
Semrush is presented in the fetched marketplace and review-platform pages as a broad SEO and marketing suite with clear pricing signals, plan structure, and trial availability. For buyers evaluating AI visibility and brand presence workflows, that matters because the product is being framed as an established platform for ongoing search marketing operations rather than a narrow point tool. The sources here do not provide star ratings or review-count totals, so this page intentionally focuses on the evidence that is actually present: pricing, value positioning, and buyer-fit clues.
The most concrete sentiment signal in the supplied material is that Semrush has a published starting price and is described as offering strong value for money, while also being potentially expensive for freelancers. That creates a fairly consistent story for agencies, in-house teams, and multi-project marketers who can justify the spend, but a less favorable one for solo practitioners or buyers with only occasional needs. The pricing pages also surface a free trial, which can reduce adoption risk for teams that want to validate fit before committing.
Because the fetched documents are primarily product-profile and comparison pages, the review evidence is indirect rather than testimonial-heavy. Even so, the sources align on a few buyer-facing themes: broad capability, visible pricing, and an established marketplace presence. If you are comparing Semrush against lighter or cheaper alternatives, the supplied documents suggest the tradeoff is straightforward: more platform breadth and marketing utility in exchange for a higher entry price.
Examples of how assistants answer real buyer questions in this category.
View all AI Visibility prompts →For tracking brand mentions across ChatGPT, Claude, Gemini, and Perplexity, several dedicated AI visibility platforms offer comprehensive monitoring capabilities. Ryze AI's AI Rank Lab is a highly recommended platform, described as the "most mature dedicated platform for tracking brand mentions across all four major AI engines." It provides a dashboard that runs custom prompts across ChatGPT, Claude, Gemini, and Perplexity simultaneously, scoring position, sentiment, and citation frequency for your brand against competitors. Another strong contender is Keywordly's AI Brand Visibility Tracker. This platform explicitly monitors brand visibility and sentiment across ChatGPT, Claude, Gemini, and Perplexity, offering features like competitor tracking, sentiment analysis, and content gap identification to help improve AI search results. Other notable platforms that cover these specific AI models include: * Semrush's AI Visibility Toolkit (or Semrush Enterprise AIO) tracks brand mentions, citations, and sentiment across ChatGPT, Perplexity, Gemini, Google AI Mode, and Copilot, integrating these insights with its broader SEO and content tools. * Writesonic offers brand visibility tracking across over 10 AI platforms, including ChatGPT, Gemini, Perplexity, and Claude, providing a visibility score and share of voice. * Nightwatch.io monitors brand mentions across ChatGPT, Claude, Gemini, Perplexity, and Copilot, unifying this data with your traditional SERP data. * Serpstat's LLM Brand Monitor provides actionable insights across 100+ AI models, including ChatGPT, Claude, Gemini, and Perplexity, for tracking brand mentions and competitor share-of-voice. * Arvow's LLM Rank Tracker allows you to monitor brand mentions in ChatGPT, Gemini, Claude, and Perplexity, detailing sentiment and citation sources. * BeeSeen scans your brand across ChatGPT, Claude, Gemini, and Perplexity to measure visibility, identify citation gaps, and enhance Generative
For tracking brand mentions specifically across ChatGPT, Claude, Gemini, and Perplexity, Otterly.AI is the best dedicated platform for most teams, offering a clean interface and a useful free tier to start . If you need enterprise-grade depth with optimization capabilities (finding gaps and creating content to win mentions), Promptwatch is the most complete platform, covering 10 models including your four targets . For teams already using Semrush, SE Visible (SE Ranking) is the strongest integrated choice, providing accurate strategic views across these exact four platforms . ### Recommended Ordering by Use Case | Priority | Platform | Best For | Key Coverage | | :--- | :--- | :--- | :--- | | 1 | Otterly.AI | Startups & SMBs needing a dedicated, easy-to-use tracker | ChatGPT, Claude, Gemini, Perplexity (+ Copilot, AI Overviews) | | 2 | Promptwatch | Teams needing an "action loop" to fix visibility gaps | 10 models including all 4 targets; core differentiator is content creation | | 3 | SE Visible | SEO teams already standardized on Semrush | ChatGPT, Perplexity, Gemini, Claude (+ AI Mode, AIO) | | 4 | Frizerly | Unified reputation management & automated boosting | ChatGPT, Claude, Gemini, Perplexity (+ Grok) | Why not Evertune or Profound? While Evertune is the most comprehensive *end-to-end* enterprise platform, it is often priced for large organizations and may be overkill for simple mention tracking . Profound is the strongest *dedicated monitor* for deep enterprise reporting but lacks the content-creation optimization loop found in Promptwatch . Action Step: Start with Otterly.AI's free tier to run a baseline audit across your four target models, then upgrade to Promptwatch if you need to actively generate content to improve your AI share of voice .
To measure your share of voice in AI-generated answers, you'll want to look at specialized tools that track brand mentions and visibility across AI platforms like ChatGPT, Perplexity, Claude, and Google's AI Overviews. Let me search for the current solutions available in this space.Based on the search results, I can provide you with a comprehensive answer about measuring share of voice in AI-generated answers. ## How to Measure Your Share of Voice in AI-Generated Answers To track your brand's visibility in AI platforms like ChatGPT, Perplexity, Gemini, and Google AI Overviews, you'll need specialized AI visibility tracking tools. Here are your best options: ### Top Recommended Solutions 1. Semrush AI Visibility Toolkit (Enterprise-focused) Semrush offers AI share of voice tracking through both their AI Visibility Toolkit and Enterprise AIO solution, showing how often your brand appears in AI-generated answers and how your visibility compares to competitors. You can track performance across ChatGPT, Google AI Mode, and Perplexity with competitive benchmarking built in. 2. HubSpot AEO (Mid-market to Enterprise) HubSpot's AEO tool shows your brand visibility score, how that score trends over time across ChatGPT, Gemini, and Perplexity, and includes a competitive landscape with share of voice metrics. HubSpot suggests prompts based on your company, competitors, and industry, making setup easier. 3. OtterlyAI (Budget-friendly) OtterlyAI offers a free trial with pricing starting at $29/month, providing citation tracking across six AI platforms, competitive benchmarking reports, and alerts when brand mentions change. 4. Nightwatch (SEO-focused teams) Nightwatch tracks AI share of voice automatically as part of its AI tracking tool, including sentiment, position, and competitor share across ChatGPT, Perplexity, Google AI Mode, and AI Overviews. 5. Additional Options: - Scrunch - Collects real responses across all configured AI platforms
To measure your share of voice in AI-generated answers, you need specialized LLM (Large Language Model) monitoring tools that systematically query various AI models and analyze their responses for brand mentions, citations, and recommendations. This new metric, often called AI Share of Voice (SOV), reflects how AI engines evaluate your brand's credibility and relevance compared to competitors. Here's a concise recommendation with product names: 1. Define Your Query Library: Start by identifying 25-50 high-intent buyer prompts that represent how customers search for products or services in your category. 2. Utilize Specialized LLM Monitoring Platforms: These tools automate the process of running your query library across multiple AI engines and tracking brand mentions. Key platforms to consider include: * Siftly: This platform runs your prompt library daily across major AI platforms like ChatGPT, Claude, Perplexity, and Google AI Overviews, counting and categorizing brand mentions to compute your AI SOV. * Serpstat's LLM Brand Monitor: Offers real-time AI brand monitoring across over 100 AI models (including ChatGPT, Claude, Gemini, and Perplexity), tracks competitor share-of-voice, and provides actionable recommendations. * LLM Pulse: Provides automated measurement across ChatGPT, Perplexity, Gemini, Google AI Mode, and Google AI Overviews, complete with sentiment overlay and competitive benchmarking. 3. Measure Repeatedly and Analyze Depth: AI outputs are dynamic, so consistent, repeated measurement (e.g., weekly or monthly) is crucial. Focus not just on mentions, but also on citations and recommendations, as well as "ghost citations" (URL mentions without explicit brand names) which can be a significant part of AI brand presence. Other notable tools for various needs include Profound for enterprise-scale insights, Otterly.AI as an affordable and easy-to-set-up entry point, SE Visible (within SE Ranking) for existing SE Ran
Use Slate to monitor Semrush over time, understand the source and positioning gaps that influence recommendations, and prioritize what to improve next.
