Yes, partly. Semrush and Ahrefs both added AI visibility features: AI Overview presence in their keyword and rank data, and brand mention tracking across AI assistants (Ahrefs through Brand Radar, Semrush through its AI visibility tools). For many teams that is a good starting point. Dedicated AI visibility platforms usually go deeper on custom prompts, per-engine citations, sentiment and recommended fixes.
What SEO suites can do today
SEO suites built their AI features on top of large keyword and SERP datasets. That gives them real strengths.
| Capability | SEO suites (Semrush, Ahrefs) | Dedicated AI visibility platforms |
|---|---|---|
| AI Overview presence for tracked keywords | Strong | Varies |
| Brand mentions across AI assistants | Available, scope varies by plan | Core feature |
| Custom buyer prompt sets | Available in some products | Core feature |
| Every cited URL per engine | Partial | Usually detailed |
| Sentiment and accuracy | Varies | Usually included |
| Diagnosis and content recommendations | Limited, SEO-focused | Varies, often a focus |
| Backlinks, keyword research, site audits | Strong | Usually not |
Product details change quickly. Treat this as a guide to what to check, not a feature list, and confirm with each vendor’s current documentation.
Semrush
Semrush tracks AI Overviews as a SERP feature in keyword and position tracking, and offers AI visibility features for monitoring brand presence in AI assistants such as ChatGPT and Google’s AI surfaces. The benefit is having SEO and AI data in one place. See best Semrush AI visibility alternatives for how it compares with specialist tools.
Ahrefs
Ahrefs shows AI Overview data in its keyword and site tools, and Brand Radar tracks brand mentions across AI surfaces, letting you compare your share of mentions with competitors. Its strength is breadth of query data. Its focus is brand-level mention data rather than deep diagnosis of individual prompts.
Where dedicated tools differ
Dedicated platforms are built around prompts and answers rather than keywords and rankings. That usually means:
- Your prompts, run repeatedly. Answers vary between runs, so good tools run each prompt several times and average the results.
- Engine-by-engine breakdown. ChatGPT, Perplexity, Gemini, Copilot, Claude, AI Mode and AI Overviews can give very different answers.
- Cited-source analysis. Seeing which third-party URLs each engine relies on, which becomes your outreach list.
- Diagnosis. Explaining why you are missing: blocked crawler, weak page, missing third-party coverage, inaccurate facts.
- Action. Audits, recommendations and sometimes content generation to close specific gaps.
GrackerAI is one example, combining multi-engine monitoring with diagnosis, audits and recommendations for B2B SaaS. Others include Profound, Peec AI and Otterly.AI.
How to decide
flowchart TD
A[Is AI search a measured channel with its own targets?] -- No --> B[Start with AI features in your SEO suite]
A -- Yes --> C[Do you need custom prompts, cited URLs and fixes per engine?]
C -- No --> B
C -- Yes --> D[Add a dedicated AI visibility platform]
B --> E[Review in 90 days]
E --> C
Stick with your SEO suite if
- You are early and want a directional view of AI visibility
- Your main concern is AI Overviews for keywords you already track
- Budget only allows one tool and SEO data is the priority
Add a dedicated platform if
- Leadership asks for AI share of voice against named competitors
- You need to see answers and citations per engine for buyer prompts
- You want recommendations, not just numbers
- You report AI visibility to clients or the board
A practical test
Before buying, run the same 30 buyer prompts through both your SEO suite’s AI features and one or two dedicated tools for two to four weeks. Compare:
- Do the tools agree on where you are mentioned?
- Can you see the full answer and every cited URL?
- Does the data explain why competitors win?
- Does it lead to specific tasks your team can do this month?
- Can you export it into your reporting?
Whichever tool gives you clearer actions is usually the better buy.
Using both together
Teams that run an SEO suite and a dedicated platform side by side usually split the work like this:
- SEO suite: find the keywords that trigger AI Overviews, monitor rankings for the underlying queries, and audit technical health.
- AI visibility platform: track buyer prompts across chat assistants and Google’s AI surfaces, and analyze which sources each engine cites.
- Shared output: a single list of pages to rewrite, sources to pursue and technical issues to fix.
The overlap is smaller than it looks. Rankings explain much of AI Overviews visibility, while third-party coverage and page clarity explain much of ChatGPT and Perplexity visibility. Using both gives you the causes on each side.
Summary
SEO suites can track AI visibility at a useful level, especially for Google AI Overviews and brand mention trends. Dedicated platforms go further on prompts, engines, citations and fixes. Keep your SEO suite for the foundations, and add a specialist tool when AI search becomes a channel you are accountable for. For the feature checklist, see what features an AI visibility tool should have, and for metric definitions see GEO metrics and KPIs.
Frequently asked questions
Is Ahrefs Brand Radar an AI visibility tool?
Yes. Brand Radar is Ahrefs' product for tracking how often a brand is mentioned across AI surfaces, such as Google AI Overviews and chat assistants, and for comparing that with competitors.
Should I cancel my SEO suite if I buy an AI visibility tool?
No. SEO suites still cover keyword research, backlinks, technical audits and rankings, which remain the foundation for AI search. Most teams run both.
What is the biggest gap in SEO suites for AI visibility?
Usually depth on your own buyer prompts: running a custom prompt set repeatedly across many engines, showing every cited URL, and turning gaps into specific fixes. Check each vendor, as features change often.
