Semrush

What is Semrush?

Semrush is a search marketing platform used for SEO, competitive research, content marketing, website auditing, traffic analysis, rank tracking, and digital marketing intelligence.

As search behavior has expanded into AI-generated answers, Semrush has extended its platform with dedicated AI search capabilities. Its AI Visibility Toolkit helps organizations understand how brands appear across AI-powered search experiences and how that presence compares with competitors.

Semrush therefore operates across both traditional SEO and emerging disciplines such as AI SEO, Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), and AI visibility monitoring.

What is the Semrush AI Visibility Toolkit?

The Semrush AI Visibility Toolkit is a collection of tools for measuring, analyzing, and improving brand presence across AI-generated search experiences.

It helps teams investigate whether their brand appears in AI answers, which competitors receive greater visibility, which websites and pages are cited, how AI systems describe the brand, and which prompts or topics represent potential opportunities.

The toolkit combines broad market-level AI search data with custom prompt tracking, allowing organizations to use existing Semrush datasets for discovery while also monitoring questions that are specifically important to their business.

What does the Semrush AI Visibility Toolkit do?

Semrush analyzes AI-generated responses and converts them into structured information about brands, competitors, prompts, citations, topics, and sources.

Teams can use this information to investigate questions such as:

• How visible is our brand across AI search?
• Which competitors appear more frequently?
• Which prompts and topics mention our brand?
• Which websites and pages are cited?
• How do AI platforms describe our brand?
• Where do competitors have stronger source coverage?
• Which AI search opportunities should we prioritize?

This expands search intelligence beyond traditional keyword rankings and into the generated answers users increasingly encounter during research and discovery.

What are the key AI search features of Semrush?

Semrush provides AI search capabilities across its AI Visibility Toolkit and broader search marketing platform.

• AI Visibility Overview: Provides a high-level view of a brand's presence across AI-generated answers.
• Brand Performance: Analyzes brand visibility, perception, topics, competitors, and sources across AI search.
• Prompt Research: Helps teams discover prompts related to topics, industries, products, and markets.
• Prompt Tracking: Monitors selected prompts over time across supported AI search platforms.
• Competitor Research: Benchmarks AI visibility against competing brands and identifies competitive gaps.
• Mentions: Measures where brands appear within AI-generated responses.
• Citation Analysis: Identifies domains and pages referenced by AI search platforms.
• Share of Voice: Measures a brand's relative presence compared with competitors.
• Sentiment and Perception: Helps teams understand how AI systems describe and represent a brand.
• Narrative Drivers: Connects visibility and citation data to the sources influencing how AI systems represent a brand.
• AI Search Opportunities: Helps identify prompt, topic, competitor, and source gaps that teams can investigate.
• AI-Readiness Site Audit: Identifies technical issues such as blocked AI crawlers that could affect AI discoverability.
• AI Traffic Analysis: Helps organizations analyze referral traffic originating from AI platforms.
• Content Optimization: Provides recommendations for improving content for both traditional and AI search visibility.

Which AI platforms does Semrush track?

Semrush monitors brand performance across several major AI-powered search and answer experiences.

Current AI visibility capabilities include coverage across platforms such as:

• ChatGPT.
• Google AI Overviews.
• Google AI Mode.
• Gemini.
• Perplexity.

Coverage varies between individual Semrush reports and products. For example, Brand Performance, Prompt Tracking, and other AI search reports can support different combinations of AI platforms.

Organizations should therefore evaluate platform coverage based on the specific Semrush workflow they intend to use rather than assuming every report contains identical AI engine data.

How does Semrush measure AI visibility?

Semrush analyzes AI-generated answers to understand how frequently and prominently brands appear across relevant prompts and topics.

The platform uses several signals and metrics to evaluate AI search performance, including:

• AI Visibility.
• Brand mentions.
• Citations.
• Share of Voice.
• Sentiment.
• Prompt-level visibility.
• Topic performance.
• Competitor presence.
• Cited pages.

These measurements help teams move beyond a simple question of whether a brand appears and toward understanding its relative presence across topics, competitors, sources, and AI platforms.

How does Prompt Research work in Semrush?

Semrush Prompt Research helps marketers discover questions and conversational searches associated with a topic, industry, product category, or market.

Instead of requiring teams to manually create every prompt they want to investigate, the report provides access to Semrush's broader AI search dataset.

Teams can use Prompt Research to identify questions where brands or competitors appear, investigate related sources, understand demand, and discover new areas for AI search optimization.

This makes prompt research useful for both AI visibility measurement and content planning.

How does Prompt Tracking work in Semrush?

Semrush also allows organizations to monitor a custom set of prompts that are particularly important to their business.

Prompt Tracking repeatedly checks selected questions across supported AI search platforms and records how brand visibility changes over time.

This allows teams to monitor high-value customer questions independently from the broader prompt database and evaluate whether optimization work is associated with changes in AI visibility.

Using Prompt Research and Prompt Tracking together creates two complementary workflows: discovering AI search behavior at scale and continuously monitoring strategically important prompts.

How does Semrush analyze AI citations?

Semrush identifies domains and pages referenced within AI-generated responses.

Citation analysis can help teams understand:

• Which owned pages receive AI citations.
• Which competitor pages are being cited.
• Which third-party domains influence important AI answers.
• Which sources repeatedly appear around specific topics.
• Where competitors receive citations while the brand does not.
• Which source gaps may represent optimization opportunities.

These insights can support content optimization, digital PR, authority building, partnerships, community strategies, and competitive research.

How does Semrush analyze competitors in AI search?

Semrush applies competitive intelligence principles from traditional SEO to AI-generated search experiences.

Teams can compare their visibility with competing brands and identify differences across mentions, topics, prompts, citations, sources, and Share of Voice.

Competitor Research can also surface areas where competing brands appear but the analyzed brand does not.

These gaps can then be investigated to determine whether the difference is associated with content coverage, third-party sources, brand authority, topic relevance, or other factors.

How does Semrush analyze brand perception in AI answers?

AI search visibility is not only about whether a brand appears. How AI systems describe that brand can also influence customer perception.

Semrush includes sentiment and perception analysis designed to help organizations understand the narratives associated with their brands across AI-generated answers.

The Narrative Drivers report connects visibility and citation information to the sources influencing these narratives, helping teams investigate why AI platforms may describe a brand in a particular way.

This makes AI visibility data relevant beyond SEO and AEO teams, including brand, communications, reputation, and PR functions.

How does Semrush identify AI visibility gaps?

Semrush uses prompt, topic, source, competitor, and narrative data to help organizations identify areas where their AI search presence may be weaker than competing brands.

Potential gaps can include:

• Prompts where competitors appear but the brand does not.
• Topics with limited brand visibility.
• Sources supporting competitors more frequently.
• Missing or weak citations.
• Brand narratives that differ from intended positioning.
• Content opportunities associated with relevant AI search demand.

These gaps provide teams with a starting point for deciding which content, authority, technical, or off-page initiatives deserve further investigation.

How does Semrush connect AI search with traditional SEO?

One of Semrush's distinguishing characteristics within the AI visibility market is that its AI search capabilities exist alongside a large traditional SEO and digital marketing dataset.

Teams can analyze AI visibility together with signals such as:

• Organic keywords.
• Search rankings.
• Backlinks.
• Search demand.
• Website authority.
• Technical SEO.
• Organic traffic.
• Competitor search performance.

This allows organizations to investigate AI search and traditional search as connected discovery environments rather than treating AI visibility as an isolated marketing channel.

Semrush One combines the AI Visibility Toolkit and SEO Toolkit for organizations that want to work across both environments within the same platform.

How does Semrush measure AI referral traffic?

Semrush provides several ways to investigate traffic associated with AI platforms.

Its AI Traffic dashboard can be used to estimate AI-driven referral traffic within a market and benchmark competitors, while reporting integrations can connect owned-site analytics with AI visibility data.

Semrush reporting can also incorporate Google Analytics and Google Search Console information, allowing teams to evaluate AI visibility alongside website traffic, conversions, and traditional search performance.

Connecting AI visibility with downstream website behavior helps organizations evaluate whether AI-generated discovery contributes to measurable business outcomes.

What is Semrush's AI-Readiness Site Audit?

Semrush extends its Site Audit capabilities with checks designed specifically for AI search accessibility.

The audit can identify whether a website is blocking important AI crawlers and surface technical barriers that could prevent content from being discovered or used by AI search systems.

This creates a technical layer for AI search optimization alongside the platform's prompt, citation, competitor, and content intelligence capabilities.

Who is Semrush for?

Semrush is designed for a broad range of organizations working across search, content, brand, competitive intelligence, and digital marketing.

Potential users of its AI search capabilities include:

• SEO teams.
• AEO and GEO teams.
• Content marketing teams.
• Brand teams.
• Digital PR teams.
• Growth teams.
• Marketing leaders.
• Agencies.
• Enterprise marketing organizations.

Its combination of traditional search and AI search intelligence can be particularly relevant to organizations that want to manage both channels within a broader search strategy.

How does Semrush fit into AI SEO, AEO, and GEO?

Semrush operates across traditional SEO and the emerging AI search optimization ecosystem associated with AI SEO, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO).

Its AI Visibility Toolkit extends conventional search intelligence into generated answers by analyzing prompts, mentions, citations, competitors, sentiment, sources, and AI visibility.

This approach reflects the broader shift from optimizing only for ranked search results toward understanding the complete discovery environment across search engines and AI answer platforms.

How is the Semrush AI Visibility Toolkit different from traditional SEO tools?

Traditional SEO tools primarily analyze keywords, rankings, backlinks, organic traffic, technical performance, and conventional search engine results.

The Semrush AI Visibility Toolkit adds questions such as:

• Does AI mention our brand?
• Which competitors receive more AI visibility?
• Which prompts trigger brand mentions?
• Which websites and pages are cited?
• How do AI systems describe our brand?
• Which sources influence those narratives?
• Where do competitors have stronger AI search presence?

Because these capabilities exist within the broader Semrush ecosystem, teams can connect AI search intelligence with traditional SEO rather than operating separate measurement systems for every search surface.

What should teams consider when evaluating Semrush for AI visibility?

Organizations evaluating Semrush should consider whether they need AI visibility monitoring alone or a broader combination of SEO, AI search, content, traffic, and competitive intelligence.

Semrush distributes AI search capabilities across multiple products and toolkits, including the AI Visibility Toolkit, Semrush One, Traffic & Market Toolkit, Content Toolkit, Site Audit, and enterprise offerings.

Teams should therefore evaluate which features are included within their selected subscription and whether the available AI platform coverage, custom prompt limits, geographic data, competitor analysis, reporting, integrations, and optimization capabilities match their requirements.

Organizations should also avoid evaluating AI search performance using a single visibility score. Mentions, citations, prompts, sources, sentiment, traffic, competitive presence, and business outcomes can provide important additional context.

Semrush and the AI Search tools ecosystem

Semrush represents the expansion of an established SEO and digital marketing platform into AI search intelligence.

Its AI Visibility Toolkit combines large-scale AI search data with custom prompt monitoring, mentions, citations, sentiment, competitor intelligence, source analysis, and optimization opportunities.

The broader ecosystem also includes dedicated AI visibility platforms, citation intelligence products, prompt monitoring systems, AI traffic analytics tools, content optimization platforms, and other established SEO products expanding into AI search.

Ansvisor maintains a broader directory of AI SEO, AEO, GEO, AI visibility, and AI search tools to help teams understand this evolving ecosystem and evaluate platforms based on their specific requirements.