Semrush AI Tools: What’s New and How to Use AI in Your SEO Workflow

By Guy Sheetrit, CEO of Over The Top SEO

How Semrush Is Integrating AI Into Its SEO Workflow

Semrush has been one of the most comprehensive competitive intelligence and SEO platforms in the industry for over a decade, combining rank tracking, keyword research, backlink analysis, site auditing, content marketing tools, and advertising intelligence in a single platform. Over the past two years, Semrush has made significant investments in AI integration — adding generative AI features, machine learning-enhanced analytics, and an AI assistant across its core toolset.

The AI strategy Semrush has pursued is dual-track: applying machine learning to improve the accuracy and actionability of its core data products (rank tracking signals, keyword difficulty, backlink quality scoring) while also adding generative AI capabilities for content creation, brief generation, and strategic recommendation. The resulting AI feature set in 2026 is one of the most comprehensive among major SEO platforms, though the quality and utility of specific features varies considerably.

Understanding which Semrush AI features represent genuine workflow improvements versus which are still maturing helps practitioners allocate platform time effectively. This guide covers the complete Semrush AI feature landscape as of 2026, with practical assessment of where AI adds the most value in SEO workflows. At Over The Top SEO, we use Semrush across client research, competitive analysis, and content strategy workflows and have tested each AI feature across diverse site types and verticals.

Semrush ContentShake AI: Content Creation and Optimization

ContentShake AI is Semrush’s dedicated generative AI content tool, integrated with Semrush’s keyword and SERP data to produce content briefs, AI-written article drafts, and content optimization recommendations. It represents Semrush’s most significant generative AI investment and is the AI feature most likely to change practitioner content workflows.

AI article writing: ContentShake generates complete article drafts from a keyword input, structured around SERP data for that keyword — analyzing top-ranking pages to determine what sections to include, what questions to answer, and what content depth is competitive. The generated drafts are better than generic LLM output because they’re grounded in Semrush’s actual SERP analysis rather than generic training data, but they require significant human review and editing before publication. Treat ContentShake drafts as first drafts that need a subject matter expert to inject genuine expertise, validate factual claims, and add the original perspective that differentiates AI-assisted content from AI-generated content that doesn’t rank.

Content brief generation: ContentShake’s brief generation is more consistently useful than its article writing feature — briefs based on SERP analysis that recommend title structures, section topics, recommended word count, semantic keywords to include, and questions to answer are actionable starting points for human writers. The briefs are grounded in competitive data and reduce research time significantly, even for practitioners who prefer to write content themselves rather than edit AI output.

SEO content optimization: ContentShake provides real-time SEO optimization scoring as you write, grading content against the competitive SERP for your target keyword. The scoring checks semantic keyword coverage, readability, content structure, and competitive benchmark alignment. This feature works well for optimizing existing content that needs improvement — the gap between your current content score and the competitive benchmark identifies specific optimization opportunities.

Content repurposing: ContentShake can transform existing articles into different content formats — LinkedIn posts, Twitter threads, email newsletters — extending the distribution reach of content assets without full recreation. This repurposing feature is genuinely time-saving for content teams with distribution channels that require format-specific adaptation.

Semrush AI Writing Assistant (SEO Writing Assistant)

Semrush’s SEO Writing Assistant is a longer-standing tool that has been enhanced with AI features — it provides real-time optimization feedback as content is created, now augmented with AI-generated improvement suggestions, tone of voice analysis, and readability optimization.

AI smart writer: The Smart Writer feature within SEO Writing Assistant can rephrase sentences, expand paragraphs, and suggest alternative formulations that maintain the SEO optimization score while improving readability or tone. This feature is most useful for improving AI-generated content that needs humanization or for optimizing existing content where specific sections are underperforming.

Tone of voice consistency: An AI model analyzes the tone and voice of your existing content library and provides a consistency score for new content — flagging sections that deviate significantly from your established brand voice. For brand-consistent content at scale, this feature reduces the editing cycle required to maintain voice standards across a large content team.

Plagiarism detection: Built-in plagiarism detection checks content against published web content before publication — important for AI-assisted content workflows where model training data overlap can produce output similar to existing published content. Running plagiarism detection on AI-assisted content before publication is a workflow best practice that SEO Writing Assistant integrates into the content creation process.

AI-Enhanced Keyword Research in Keyword Magic Tool

Semrush’s Keyword Magic Tool has integrated AI enhancements that improve the efficiency and strategic value of keyword research — particularly the steps between raw keyword data and prioritized content strategy.

AI keyword clustering: Keyword Magic Tool applies machine learning to cluster related keywords by topic and search intent, automatically grouping variants that should be targeted by a single page versus variants that represent distinct topical areas requiring separate pages. The clustering quality is generally high for well-defined commercial topics and less reliable for highly technical or niche topics where semantic relationships are more nuanced. Treat cluster groupings as starting points that require practitioner review for high-priority keyword groups.

Search intent classification: Each keyword receives an AI-generated intent classification (informational, commercial investigation, transactional, navigational) based on SERP analysis. The classification informs content type decisions — informational keywords require educational content, commercial investigation keywords require comparison and evaluation content, transactional keywords require conversion-optimized pages. The accuracy is high for clear-intent queries; ambiguous queries may be misclassified and should be validated manually.

Keyword gap AI analysis: The Keyword Gap tool, which identifies keywords your competitors rank for that you don’t, has been enhanced with AI prioritization that scores gap opportunities by a combination of search volume, competitive difficulty, and estimated traffic impact of closing the gap. This prioritization replaces manual sorting of large gap reports and surfaces the highest-impact opportunities efficiently — particularly valuable for large sites with extensive competitor analysis requirements.

Position Tracking and AI SERP Analysis

Semrush’s Position Tracking has integrated AI to improve the interpretability of rank tracking data — moving from reporting what rankings are to explaining why they changed and what to do about it.

Algorithm update impact analysis: When Google algorithm updates cause ranking changes, Position Tracking’s AI analysis identifies which of your tracked keywords were affected by the update versus which experienced ranking changes from other causes. This distinction — algorithm-affected versus site-specific ranking changes — guides the correct response: wait and monitor for algorithm volatility versus actively investigate site-level causes.

Featured snippet opportunity detection: AI analysis identifies keywords where you’re ranking in positions 2-10 with characteristics that make featured snippet acquisition achievable — question-format queries, definition queries, how-to queries where your current page’s structure could be optimized for snippet eligibility. Featured snippet optimization has a high ROI when targeted intelligently; AI identification of the most accessible opportunities focuses effort correctly.

SERP feature tracking: Semrush now tracks SERP feature presence (AI Overviews, featured snippets, People Also Ask, Local Pack, Shopping) for tracked keywords, with AI analysis of how SERP feature prevalence correlates with click-through rate changes. This is strategically important as AI Overviews expand: keywords where AI Overviews capture click share require different optimization approaches than traditional organic listings.

Semrush Copilot: AI Strategic Recommendations

Semrush Copilot is an AI assistant that analyzes your account data across the entire platform and surfaces prioritized strategic recommendations — synthesizing insights from Site Audit, Position Tracking, Backlink Analytics, and Content tools into a unified action list.

The core value proposition is synthesis: practitioners who use multiple Semrush tools simultaneously face information overload from parallel data streams. Copilot’s AI synthesizes these streams into a prioritized to-do list that surfaces the most impactful available actions across all tools. A practitioner who reviews Copilot recommendations daily can work from a continuously updated priority queue rather than manually reviewing each tool’s dashboard for new insights.

The quality of Copilot recommendations varies: high-quality recommendations include identifying new technical issues from Site Audit that need attention, flagging significant ranking drops for monitored keywords, and surfacing content gaps that have opened as competitors published new ranking pages. Lower-quality recommendations include generic best-practice suggestions that lack site-specific context and may not reflect actual priorities for a given site’s situation.

Best use of Copilot: use it as a daily triage tool to identify the most time-sensitive issues requiring attention (ranking drops, technical issues, competitive movements), while relying on practitioner judgment for strategic decisions where Copilot’s recommendations lack the site-specific context to be authoritative. Think of it as an intelligent news feed for your SEO program rather than an autonomous strategic advisor.

Integrating Semrush AI into Your SEO Workflow

Semrush’s AI features deliver maximum value when they’re integrated into established workflows at the specific steps where AI acceleration is most effective — not as a replacement for the entire workflow, but as an enhancement to the high-volume, data-intensive steps that benefit most from machine learning assistance.

Recommended integration points:

• Keyword research: Use Keyword Magic Tool’s AI clustering to organize large keyword sets in minutes rather than hours; validate high-priority clusters manually before finalizing content strategy
• Content creation: Use ContentShake for first-draft generation and SEO Writing Assistant for optimization scoring; require human expert review of all AI-assisted content before publication
• Competitive analysis: Use Keyword Gap AI prioritization to surface the most impactful gap opportunities from large competitor datasets
• Rank monitoring: Use Position Tracking’s algorithm update analysis to distinguish update-related fluctuations from site-specific ranking changes
• SERP optimization: Use featured snippet opportunity detection to identify quick-win optimization opportunities in current rankings
• Daily prioritization: Use Copilot as a triage tool for identifying the most time-sensitive issues across your portfolio

The practitioners who extract the most value from Semrush AI are those who maintain strong SEO judgment about when to trust AI outputs and when to override them — using AI acceleration for data synthesis and pattern recognition while applying human expertise for strategic decisions requiring nuanced judgment. Want to build a Semrush AI-powered SEO workflow for your site or agency? Talk to our team about how we structure Semrush workflows for maximum efficiency and results.