The SEO industry entered 2026 facing two pressures at once. AI Overviews and LLM-generated responses are reshaping what "ranking" even means, and the cost of accessing reliable search data keeps climbing. That makes the choice between Ahrefs and Semrush more consequential than it has been in years, because the two platforms have taken genuinely different bets on where the market is heading.
Ahrefs has doubled down on technical precision and developer-centric workflows. Its proprietary AhrefsBot, one of the world's most active web crawlers, feeds a backlink index of 3.3 trillion external links. The platform introduced Agent A and Model Context Protocol (MCP) support to pipe that data directly into AI assistants, and it added GitHub integration so technical teams can turn audit findings into pull requests without leaving their workflow. The trade-off is a credit-based pricing model that meters data consumption and can produce unpredictable monthly costs for high-volume teams.
Semrush took the opposite path. Rather than deepening one dimension of SEO, it expanded outward into a unified marketing command center covering SEO, social media automation, influencer analytics, paid advertising intelligence, and now dedicated AI search visibility tracking. For teams that need one platform to cover multiple channels, that breadth is clear, and the seat-based subscription model makes budgeting far more straightforward.
Neither platform is the obvious winner for every team. The right answer depends on whether your primary job is deep technical SEO and link intelligence, or whether you need a single operational hub that spans SEO, social, and paid channels while keeping an eye on how AI search is changing the visibility picture.
At a Glance: The 2026 Decision Matrix
The table below compares both platforms across the five primary decision axes. Each verdict is grounded in the capability evidence that follows in the detailed sections.
| Decision Axis | Ahrefs | Semrush | Edge |
|---|---|---|---|
| Cost Predictability | Credit-metered system; PAYG credits expire in 3 months | Subscription-based; fixed limits per tier; Additional users $45/mo | Semrush |
| Data Integrity & Index Depth | 3.3 trillion external links; world's 2nd most active crawler | Billions of keywords; 17-year search intelligence history | Ahrefs |
| AI Search (SGE) & LLM Visibility | Agent A + MCP to connect data to AI assistants | Dedicated AI Visibility Tracking; prompt-level metrics; ChatGPT & Google AI Mode monitoring | Semrush |
| Marketing Ecosystem Breadth | Specialist SEO suite; standalone Brand Radar add-on | Unified platform; 8-tool social toolkit; native Google & Meta Ads integration | Semrush |
| Technical Audit & Rendering Depth | 140+ issue categories; JS rendering; automated GitHub PR integration | Solid audits; AI-powered content optimization suggestions | Ahrefs |
The matrix tells a clear story: Ahrefs wins on raw data depth and technical granularity, while Semrush wins on operational breadth and cost predictability. The tie at the overall level is genuine, not a diplomatic dodge. The right platform depends entirely on which axes matter most to your team.
Deep Feature and Workflow Comparison
Before getting into pricing specifics or risk factors, it is worth spending real time on what each platform actually does day-to-day. The decision matrix above gives you the summary; this section gives you the working detail.
Core Feature Coverage
Ahrefs is built around five flagship tools: Site Explorer for competitor traffic and backlink analysis, Keywords Explorer for search volume and difficulty, Site Audit for technical health, Rank Tracker for position monitoring, and Content Explorer for content research. The platform's Domain Rating (DR) metric, calculated from the number of unique domains with at least one followed link to a target site, has become an industry-standard proxy for link authority. AhrefsBot crawls the web continuously, which means the backlink data reflects recent changes rather than periodic snapshots.
The 2026 additions that matter most for forward-looking teams are the Model Context Protocol integration and Agent A. MCP lets you connect Ahrefs data to AI assistants and agents to enhance their answers with real marketing insights, turning the platform into a data source for AI-driven workflows rather than just a standalone dashboard. Ahrefs also integrates with Google Search Console for verified site owners, and offers a Looker Studio connector for custom reporting.
Semrush approaches core features from a platform-first perspective. Technical SEO audits, local SEO and Google Business Profile management, and AI-powered content optimization suggestions are all native capabilities. The content optimization tool specifically identifies keywords where rankings sit between positions 8 and 20 and suggests topics that could realistically reach the top 5, which is a practical workflow shortcut for content teams.
Semrush has also integrated its search data directly into Lovable, the AI software creation platform, giving developers building in that environment native access to SEO and AI visibility tools. You can explore the full range of Semrush features to see how these capabilities fit together.
Buyer impact: If your core job is competitive research and link intelligence, Ahrefs gives you deeper raw material. If your team needs content optimization guidance alongside technical auditing, Semrush's suggestions-first approach reduces the gap between data and action.
Reporting and Analytics
Ahrefs' Site Audit covers technical SEO issues including performance, HTML tags, and localization, scanning for 140+ pre-defined categories. The standout capability for development-integrated teams is the GitHub integration: the platform can open a pull request in GitHub for priority audit fixes, which eliminates the manual handoff step between SEO analyst and developer. Ahrefs also supports a worker-based setup for Bot Analytics compatible with Cloudflare plans, useful for teams that need to understand how crawlers interact with their infrastructure.
Semrush's reporting layer is broader. Keyword monitoring and alerts notify you when competitors gain visibility that could affect your rankings, and the platform integrates with more than 20 marketing tools including Google Analytics, Google Search Console, and paid channel platforms.
The My Reports suite allows automated weekly summaries formatted for client presentations without building them manually each time. Flash AI models generate summaries for Base reports, while Pro reports use full AI functionality. Reports export to PDF.
Buyer impact: Ahrefs' GitHub integration is genuinely differentiated for teams where developers are part of the SEO workflow. Semrush's automated client reporting and broader tool integrations make it the stronger choice for agencies that need to package and communicate findings across multiple contributors.
API and Developer Access
Ahrefs runs on API v3 architecture, which is the current version for programmatic data access. Authentication uses OAuth 2.0 for third-party application security, and the platform provides standardized rate limits documented in the developer portal. An API Playground is available for non-Enterprise plan users who want to test endpoints before committing to a full integration. The Ahrefs Connect program lets developers bring Ahrefs data into third-party applications through a structured integration framework.
The Semrush API provides paid subscribers with automated data access and is documented through a dedicated developer portal. The Semrush Developer portal provides tools to integrate applications into the Semrush ecosystem, and developers who want to list an app in the Semrush App Center can submit via app-center@semrush.com. The App Center covers workflow automation, analytics connectors, and specialized tools that integrate directly into the main Semrush interface.
Buyer impact: Both platforms have mature API offerings. Ahrefs' OAuth 2.0 support and API Playground make it slightly more accessible for developers building standalone integrations. Semrush's App Center ecosystem is more relevant if you are building something intended for other Semrush users rather than internal tooling.
Data Freshness and History
Ahrefs' backlink index contains 3.3 trillion external links, maintained by AhrefsBot's continuous crawling. Historical data retention extends up to 60 months on the Advanced plan, giving you five years of trend data for project tracking. The continuous crawl model means new links and lost links appear in the index relatively quickly, though the specific refresh frequency for the Content Explorer tool is worth confirming directly with Ahrefs before relying on it for time-sensitive content research.
Semrush's data depth comes from a different angle: a keyword database built on 17 years of search intelligence, with data refresh options of hourly, daily, or weekly depending on the metric. The automated data connector supports flexible refresh scheduling, and the AI Visibility Tracking feature tracks prompt-level visibility and lets you analyze AI market share against competitors. The Content Optimization AI scores and optimizes content in real time, and automated post scheduling in the social toolkit uses historical performance data to recommend optimal timing.
Buyer impact: Ahrefs is the stronger choice when backlink freshness and historical link trend data are critical. Semrush's flexible refresh scheduling and AI visibility tracking make it better suited for teams monitoring fast-moving keyword positions and AI search presence simultaneously.
Team Collaboration and Access
Ahrefs provides access to over 10 years of web-scale data and supports project-based organization, but its collaboration features are less explicitly documented in primary sources. The platform supports Google Search Console integration for verified owners, which allows project imports tied to real site data. Specific details on role-based access controls and asset sharing workflows are worth confirming directly before deploying across a large team.
Semrush has more explicitly documented collaboration infrastructure. The platform supports account owners, admins, and users with different levels of visibility and asset management rights. When the Full Sharing toggle is disabled, assets such as folders and keyword lists are not automatically shared across the team; owners and admins can view and manage all assets, while other users must share assets manually to collaborate. Semrush also integrates with Slack for team notifications, keeping distributed teams informed without requiring everyone to log into the platform.
Buyer impact: For agencies or in-house teams with multiple contributors, Semrush's documented role hierarchy and Slack integration make collaboration setup more predictable. Ahrefs' collaboration depth should be confirmed directly for multi-user deployments, particularly if role-based access control is a requirement.
Daily Workflow Fit
A typical Ahrefs day involves pulling competitor traffic data to identify which pages and keywords drive the most visits, running or reviewing a Site Audit for technical issues, monitoring rank progress over time, and, for developer-integrated teams, using the GitHub connection to push fixes. The MCP integration means Ahrefs data can now feed into AI coding assistants and agents, which is a workflow accelerator for teams already using tools like Claude or Cursor in their development process. You can see how these use cases fit together on the Ahrefs use cases page.
Semrush's daily workflow is broader by design. The platform's direct integration with Google Ads and Meta Ads lets paid search teams fuel campaign decisions with organic intelligence from the same interface. The 8-tool Social Toolkit automates the full social media workflow from content planning to performance tracking.
AI-powered workflow automation tools handle recurring reporting tasks, and the AI summary feature generates competitive snapshots without manual data assembly. For a team managing SEO, social, and paid simultaneously, that consolidation reduces the context-switching cost of moving between separate tools.
Buyer impact: Ahrefs fits teams whose daily work centers on search data analysis and technical site health. Semrush fits teams whose daily work spans multiple channels and who want automated reporting to reduce the overhead of keeping contributors informed.
The TCO Gap: Credits vs. Seats
Pricing figures use official pricing pages: Ahrefs pricing and Semrush pricing.
Pricing is where the philosophical difference between the two platforms becomes most concrete. Ahrefs uses a consumption model; Semrush uses a subscription model. That distinction matters more as team size and report volume grow.
Pricing and Team-Size TCO
| Plan | Ahrefs | Semrush | Key Limits |
|---|---|---|---|
| Entry | Lite €119/mo | SEO $139.95/mo | Ahrefs: 5 projects, 750 tracked keywords, 6 months history. Semrush: 5 websites, 500 keywords/day, AI search tracking included |
| Mid-tier | Standard €229/mo | -- | Ahrefs: 20 projects, 2,000 tracked keywords, 24 months history |
| Growth | Advanced €419/mo | -- | Ahrefs: 50 projects, 5,000 tracked keywords, 60 months history |
| Power | Enterprise €929/mo | Advanced $549/mo | Ahrefs: 100 projects, 10,000 tracked keywords. Semrush: 40 websites, 5,000 keywords/day, 200 AI prompts tracked/day, API access |
| Add-ons | Brand Radar (from $199/mo) | Additional users $45/mo; Lead Generation $90; Base Report $10; Pro Report $20 | Semrush add-ons are flat fees; Ahrefs PAYG credits expire after 3 billing months |
Solo practitioner scenario: At entry level, Ahrefs Lite €119/mo and Semrush SEO $139.95/mo are roughly comparable in monthly outlay. Semrush includes AI search tracking at that tier, which Ahrefs handles separately. For a solo practitioner running a modest number of reports, the credit system is unlikely to cause friction.
Small agency scenario (3-5 users): This is where the models diverge. Semrush's Additional users $45/mo per seat means a 3-person team on the SEO plan carries a predictable per-seat overhead. On Ahrefs, the credit consumption from three active users running regular reports and audits can push effective monthly costs above the listed plan price, particularly if PAYG credits are purchased to cover overages and then expire unused within three months.
Scaling team scenario: At enterprise volume, Ahrefs Enterprise €929/mo includes 100 projects and 10,000 tracked keywords. Semrush Advanced $549/mo includes 40 websites, 5,000 keywords per day, 200 AI prompts tracked daily, and API access. If AI prompt tracking is a priority, Semrush's Advanced plan bundles it at a lower headline price. If raw project and keyword volume is the primary need, Ahrefs Enterprise offers more headroom on those dimensions.
The credit expiry risk is the most important operational detail in Ahrefs' pricing structure. PAYG purchases including report credits, export rows, crawl credits, and API units last for three billing months including the current one. If your agency runs a large audit in month one and then has a quieter month two, those credits do not roll forward indefinitely. For high-volume agencies with uneven workloads, this can translate into real waste.
Ahrefs' refund policy adds to the operational risk picture. The platform does not issue refunds in general, and for monthly subscriptions, a refund is available only if the service has not been used. That is a stricter policy than many SaaS tools, and it is worth factoring in if you are evaluating on an annual billing basis. Specific support SLA details are not publicly documented in Ahrefs' primary sources, so confirm those terms directly before committing to an annual plan.
The SEO Engine: Backlink Depth vs. Keyword Breadth
Ahrefs' core competitive advantage is its proprietary backlink index. The 3.3 trillion external links in that index are maintained by AhrefsBot, which crawls the web continuously. The result is backlink data that reflects recent link acquisition and loss with relatively high freshness, making it the preferred tool for link-building campaigns where link velocity and recency matter.
Historical data retention up to 60 months on the Advanced plan also means you can track a site's link profile evolution over five years, which is useful for understanding recovery patterns after algorithm updates. The free Website Authority Checker gives a quick sense of how Ahrefs calculates domain-level link authority before you commit to a paid plan.
Semrush's data advantage is on the keyword side. Seventeen years of search intelligence data gives the platform a longitudinal view of keyword trends that is hard to replicate. The database of billions of keywords, combined with AI-powered keyword research tools, makes it particularly strong for identifying emerging search opportunities and understanding keyword seasonality over long periods. Data refresh frequencies of hourly, daily, or weekly give rank tracking teams flexibility that is not always available in Ahrefs' rank tracker.
Neither platform is weak on the other's primary dimension. Semrush has a substantial backlink database, and Ahrefs has a capable keyword research tool. But when the margin between tools matters, Ahrefs is the benchmark for backlink analysis and Semrush is the benchmark for keyword breadth and historical search trend data.
SGE and LLM Visibility: Tracking the Post-Search Landscape
Traditional rank tracking tells you where you appear on page one of Google. In 2026, that is no longer the complete picture. AI Overviews, ChatGPT search, and Google AI Mode are generating answers that may cite your content without a traditional blue link, or may surface a competitor instead of you without a ranking change you would normally detect.
Semrush's AI Visibility Tracking offers the more direct answer to this problem. The platform provides dedicated tools for tracking prompt-level visibility and analyzing AI market share against competitors, with explicit support for monitoring brand presence in ChatGPT and Google AI Mode. That means you can see which prompts surface your brand, how your share of AI-generated mentions compares to competitors, and where gaps exist. The MCP common use cases documentation outlines how Semrush connects these AI tracking capabilities into practical workflows. The Semrush Advanced plan includes 200 prompts tracked daily as a native feature, not an add-on.
Ahrefs approaches the AI search challenge differently. Agent A provides AI-driven marketing insights, and the Model Context Protocol integration lets you connect Ahrefs data to AI assistants and agents to enhance their answers with real marketing insights. This is a workflow-level integration: it makes AI tools smarter by feeding them Ahrefs data, rather than tracking how AI tools are surfacing your content to users. Brand Radar, available as a standalone add-on, monitors brand visibility across traditional search and AI platforms, but the granularity of prompt-level tracking available in Semrush is not replicated in Ahrefs' core offering.
Workflow impact: If your primary concern is understanding where your brand appears in AI-generated responses and how that compares to competitors, Semrush gives you a more direct measurement framework. If your primary concern is making your internal AI workflows smarter with real search data, Ahrefs' MCP integration is the more relevant capability.
Technical SEO: Developer Handoff vs. Content Optimization
Ahrefs' Site Audit is the most developer-friendly technical SEO tool in either platform. The 140+ issue categories cover performance, HTML tags, localization, crawlability, and indexation. JavaScript rendering support means the audit sees your pages the way modern search engines do, catching issues that a non-rendering crawler would miss. The GitHub integration is the capability that sets Ahrefs apart for engineering-integrated teams: the platform can analyze a Site Audit and open a pull request in GitHub for priority fixes, automating the handoff from SEO finding to developer task without manual ticket creation.
For teams running Cloudflare, Ahrefs' worker-based Bot Analytics setup provides visibility into how crawlers interact with the site infrastructure, which is useful for diagnosing crawl budget issues at the CDN level.
Semrush's technical audit capabilities are solid and cover the same fundamental issue categories, but the differentiation is on the content side rather than the developer handoff side. The AI-powered content optimization tool identifies keywords where rankings sit between positions 8 and 20 and suggests specific topics that could realistically move to the top 5. That is a practical prioritization mechanism for content teams who want data-driven guidance on where to focus writing effort. Both platforms support JavaScript rendering, so the core capability for modern web frameworks is present in each.
What to verify before choosing: Ahrefs' GitHub integration is a meaningful differentiator for teams where developers are part of the SEO workflow. If your technical SEO process ends with a report delivered to a developer rather than a collaborative fix-and-deploy cycle, the advantage is less material. Confirm the specific crawl credit consumption for large-scale JS rendering audits on Ahrefs before running them at high volume.
Beyond SEO: Social, PPC, and Influencer Integration
This dimension is where the two platforms have the most asymmetric coverage, and it is a decisive factor for multi-channel agencies.
Semrush functions as a genuine marketing command center. The Social Toolkit consists of 8 interconnected tools designed to automate the full social media workflow, from content planning and scheduling to performance tracking and competitive analysis. You can track any brand's social presence by entering its domain, evaluate influencer engagement metrics, and schedule posts at optimal times based on historical performance data.
Direct integration with Google Ads and Meta Ads lets paid search teams fuel campaign decisions with organic competitive intelligence from the same platform. Automated post scheduling, cross-platform planning from a single dashboard, and Slack and email notifications for team coordination are all included. The Semrush workflow automation collection shows how these tools connect into repeatable processes for agencies managing multiple clients.
Ahrefs does not have native social media management, influencer analytics, or direct ad platform integration. Brand Radar, available as a standalone add-on, monitors brand visibility across traditional search and AI platforms, which addresses part of the brand monitoring need. But if your team's daily work includes social scheduling, influencer campaign tracking, or paid media optimization, those workflows will require separate tools alongside Ahrefs.
Buyer impact: For a pure SEO team, Ahrefs' specialist focus is an advantage rather than a limitation. For an agency or brand team that needs to consolidate tool spend and reduce the overhead of managing separate platforms for SEO, social, and paid, Semrush's breadth delivers real operational value.
Semrush's Adobe integration is noted in operational signals as a move toward unifying brand visibility, SEO, and AI-driven customer experience, but the specific technical requirements for that integration are not fully detailed in current documentation. If Adobe integration is a factor in your evaluation, confirm the current implementation details directly before treating it as a production-ready capability.
What to Confirm Before Choosing
A few practical checks will save you from surprises after you commit to either platform.
For Ahrefs:
Confirm the credit consumption rates for your specific use cases, particularly for large-scale Site Audits with JavaScript rendering enabled. Credit costs for high-volume crawls are not published in a standardized per-operation table, so get a direct estimate from the team if you are running 100k+ page audits regularly.
Review the refund policy terms carefully before choosing annual billing. Ahrefs does not issue refunds in general, and the conditions for monthly subscription refunds are narrow. Support SLA details are not publicly documented in primary sources, so ask specifically about response time commitments before signing an enterprise agreement.
Confirm the current data refresh frequency for Content Explorer if you are relying on it for time-sensitive content research. That specific detail is worth confirming directly.
For non-GSC platform integrations beyond the documented Ahrefs Connect program, verify current integration documentation directly rather than assuming coverage from third-party sources.
For Semrush:
Confirm the specific technical requirements for the Adobe integration if unified brand visibility across the Adobe stack is part of your evaluation criteria.
Verify the exact prompt tracking methodology for AI Visibility Tracking, particularly how it handles Google AI Mode versus ChatGPT versus other LLM surfaces, to ensure the measurement approach matches your reporting needs.
Confirm the data refresh frequency guarantees for rank tracking at your specific plan tier. Hourly, daily, and weekly options are documented, but plan-level availability should be verified directly.
For both platforms:
- Both Ahrefs and Semrush have low public sentiment scores on Trustpilot, with billing disputes and refund policy frustrations being the most commonly cited issues. Ahrefs reviews show similar patterns. This is worth noting as a risk signal, though thin review sentiment should not override the capability evidence. Treat it as a prompt to read the terms carefully before committing to annual billing.
Frequently Asked Questions
How does Ahrefs' credit system actually impact daily agency workflows?
The credit system meters data-intensive operations including reports, exports, crawl credits, and API units. For an agency running daily competitor research, weekly audits across multiple client sites, and regular export pulls, the monthly credit allocation can be exhausted faster than the plan's headline price implies. PAYG credits purchased to cover overages expire after three billing months including the current one, so unused credits from a lighter month do not carry forward indefinitely. The practical implication is that agencies with uneven workloads should model their expected monthly consumption against the plan limits before choosing a tier, and factor in the possibility of credit purchases during peak periods.
Can Semrush track rankings in ChatGPT and Google AI Mode?
Yes. Semrush's AI Visibility Tracking provides dedicated tools for monitoring brand presence in AI search engines including ChatGPT and Google AI Mode. The feature supports prompt-level visibility analysis and lets you compare your AI market share against competitors.
The Advanced plan includes 200 prompts tracked daily as a native feature. The specific methodology for how tracking works across different AI surfaces is worth confirming directly to ensure it matches your measurement requirements.
What happens to my data if I cancel my Ahrefs or Semrush subscription?
For Ahrefs, you retain access to your plan until the end of your current subscription period after cancellation. Historical data retained within the platform, up to 60 months on the Advanced plan, is tied to your active subscription. For Semrush, confirm the specific data retention and export terms before cancelling, particularly for projects, keyword lists, and audit history that you may want to preserve. Neither platform publishes a detailed post-cancellation data access policy in a standardized format, so confirm the current terms directly before making a decision.
Which tool is better for a developer building custom SEO dashboards?
Ahrefs' API v3 architecture, OAuth 2.0 authentication, standardized rate limits, and API Playground access for non-Enterprise users make it a strong choice for developers building internal tools and custom dashboards. The MCP integration also allows Ahrefs data to feed directly into AI coding assistants. The Semrush API overview provides automated data access for paid subscribers and is well-documented through the developer portal, with an App Center ecosystem for developers who want to build tools for other Semrush users. If you are building internal tooling, both APIs are capable; Ahrefs' API Playground gives it a slight edge for rapid prototyping without an Enterprise commitment.
Verdict: Which SEO Suite Earns Its Price in 2026
The Ahrefs vs Semrush decision in 2026 is not a quality comparison. Both platforms are capable, and both have genuine strengths that the other does not replicate. The decision is about operational fit.
Choose Ahrefs if:
Deep backlink analysis and competitive link intelligence are your primary use cases. The 3.3 trillion link index is still the industry benchmark.
Your SEO team works closely with developers and would benefit from GitHub-integrated audit workflows.
You are building custom data pipelines or AI-enhanced workflows and need a mature API v3 with OAuth 2.0 and an accessible Playground for prototyping.
Your work is SEO-specialist rather than multi-channel, and you want the most granular technical auditing available.
Choose Semrush if:
Your team needs to track brand visibility in AI search engines including ChatGPT and Google AI Mode, and wants prompt-level metrics rather than just traditional rank data.
You are managing SEO alongside social media, influencer campaigns, or paid advertising and want to consolidate those workflows into one platform.
Budget predictability matters more than credit flexibility. Semrush's subscription model with flat-fee user add-ons at $45/mo makes monthly cost forecasting straightforward.
You need automated client reporting with PDF export and AI-generated summaries that reduce the manual overhead of agency deliverables.
The honest summary is this: Ahrefs is the non-negotiable choice for technical purists and link-builders who want the deepest possible data on how the web links together. Semrush is the superior operational choice for multi-channel agencies and brands that need to track AI search visibility, automate social workflows, and manage multiple contributors from a single predictable subscription. If you are choosing between Ahrefs and Semrush purely on SEO capability depth, the margin is narrow. If you are choosing on operational breadth and 2026 AI search readiness, Semrush has the clearer lead.
References
Ahrefs official site: ahrefs.com
Free Keyword Rank Checker Tool: ahrefs.com
How it works | Ahrefs for Developers: docs.ahrefs.com
How to Do Keyword Research for SEO (Start to Finish): ahrefs.com
Introduction | Ahrefs for Developers: docs.ahrefs.com
ahrefs.com pricing page
Trustpilot reviews: Read Customer Service Reviews of ahrefs.com
Ahrefs for Developers: docs.ahrefs.com
AI marketing platform for every marketer: ahrefs.com
Free AI Product Description Generator: ahrefs.com
SEO Content: The Beginner's Guide: ahrefs.com
SEO: The Complete Guide for Beginners: ahrefs.com
The Beginner's Guide to Technical SEO: ahrefs.com
Website Authority Checker: Check the "Authority" Of Any...: ahrefs.com
Style Factory, Ahrefs Review (2026), All the Pros and Cons Explained (03:58-04:10)
How to Hippo 🦛: Ahrefs Tutorial for Beginners | SEO Software Crash Course (00:55-01:02)
Gustav Eriksson: Ahrefs Tutorial for Beginners: Step-By-Step Guide to Using Ahrefs 2023 (00:35-00:43)
Official Ahrefs Tutorial: How to use Ahrefs to Improve SEO (01:33-01:46): youtube.com
Ahrefs: This AI Tool Generates Viral Thumbnails (Prompts Included) (04:58-05:04)
Semrush official site: semrush.com
Automatically import your data into Google Sheets: semrush.com
Discover Marketing Apps in the Semrush App Center: semrush.com
How to Keep Your Semrush Team on the Same Page: semrush.com
How to Secure Transparency in a Team Account: semrush.com
Quick start | Semrush API: developer.semrush.com
What is My Reports Suite and how does it work?: semrush.com
What Semrush Social Toolkit can help you with: semrush.com
semrush.com pricing page
Trustpilot reviews: Read Customer Service Reviews of semrush.com
semrush.com Website Analysis for April 2026: similarweb.com
Trustpilot reviews: Ecommerce Apps by Semrush Reviews 18
Best Workflow Automation Tools | Streamline Processes...: semrush.com
Semrush API overview: developer.semrush.com
Semrush Developer | Semrush API: developer.semrush.com
official website: Semrush Features
official website: Use Cases - MCP
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