Similarweb vs Ahrefs for AI Search Research: Which Tool Is Better?
Similarweb and Ahrefs answer different AI search research questions. Similarweb is strongest on the traffic side. Its AI Chatbot Traffic view estimates visits from ChatGPT, Perplexity, Gemini, Claude and others to any website, including competitors'. Its AI Brand Visibility tool shows topics, prompts, the top 30 brands for each topic, and the sources behind them. Ahrefs is strongest on the citation side. Brand Radar has a database of hundreds of millions of prompts, lists the pages AI answers cite, and connects them to Ahrefs' backlink and ranking data. Use Similarweb to see who wins AI referral traffic, and Ahrefs to understand why pages get cited. Teams doing serious research often need both, but for different reports.
How do they compare?
| Similarweb | Ahrefs | |
|---|---|---|
| Core data | Estimated web traffic, including AI chatbot referrals, for any site | Backlinks, rankings, and AI citations from Brand Radar's prompt database |
| AI traffic | AI Chatbot Traffic: estimated visits from ChatGPT, Perplexity, Claude and others, by site and page | Your own site's AI referrals through Ahrefs' web analytics; not estimates for competitors |
| AI answers | AI Brand Visibility: topics, prompts, top 30 brands per topic, sources behind mentions | Brand Radar: mentions and cited pages across AI Overviews, ChatGPT, Gemini, Perplexity, Copilot and AI Mode; custom prompts |
| Competitor view | Competitors' AI referral traffic and top pages | Competitors' cited pages, backlinks and rankings |
| Data type | Modelled estimates from Similarweb's data sources | Crawled links and sampled AI answers |
| Pricing | Self-service packages and custom quotes; free trial | Ahrefs Free and Starter ($29/mo) have no tracked AI prompts; tracked AI prompts start on Lite ($129/mo); Brand Radar AI from $199/mo; custom prompt packs from $50/mo |
What is Similarweb good for?
Similarweb added an AI Chatbot Traffic screen in April 2025, treating AI chatbots as a traffic source separate from search and other referrals. It shows estimated traffic volume from platforms such as ChatGPT, Perplexity and Claude, and which pages attract the most AI chatbot traffic. Because it estimates traffic for any domain, you can see which competitors receive the most AI referrals and on which pages. Your own analytics cannot tell you that.
Its AI Brand Visibility tool adds the answer side. It covers the topics you track, the prompts behind them, the top 30 brands for each topic, and the sources that influence mentions. Similarweb also offers trackers for traffic from ChatGPT, Gemini, Grok and Perplexity, and tools for AI Overviews and other zero-click features. It publishes market-level research on AI platforms' share of traffic too.
The caution is that traffic figures are estimates. Similarweb documents its methodology and explains why its numbers can differ from Google Analytics. Use its figures for comparisons and trends, and your own analytics for your own site.
What is Ahrefs good for?
Ahrefs' Brand Radar starts from AI answers. Its prompt database is dominated by AI Overviews, with smaller sets for ChatGPT, Gemini, Perplexity, Copilot and AI Mode. It shows how often brands are mentioned, which pages are cited, and which competitors appear. Custom prompts let you track your own questions daily. Because it sits on Ahrefs' link and ranking data, you can open any cited page and see its backlinks, organic rankings and traffic estimates. That is how you learn what the pages that win citations have in common.
Ahrefs' research also shows why this matters. Its study of 863,000 search results pages found that only 38% of AI Overview citations came from top-10 organic results. Ranking data alone no longer tells you who gets cited. How to run this research is covered in how to use Ahrefs to find pages and domains cited in AI answers.
Which is better for specific research tasks?
| Task | Better tool | Why |
|---|---|---|
| Which competitors get the most AI referral traffic? | Similarweb | Estimates AI chatbot traffic for any domain |
| Which of their pages attract AI visitors? | Similarweb | Top pages by AI chatbot traffic |
| Which pages do AI answers cite in my category? | Ahrefs | Cited pages across a large prompt database |
| Why are those pages cited? | Ahrefs | Backlinks, rankings and content of cited pages |
| What prompts do people use in my category? | Both | Similarweb shows prompts behind topics; Ahrefs has a prompt database and volume data |
| How is AI changing my market's traffic overall? | Similarweb | Market-level traffic and share data |
| Where should I earn links or mentions? | Ahrefs | Link data on the sources that win citations |
How do you use them together?
A research workflow for a competitive category:
- Size the prize with Similarweb. Find the competitors and pages receiving the most AI chatbot traffic.
- Explain it with Ahrefs. Look up those pages in Brand Radar and Site Explorer: which prompts cite them, what links they have, and what they cover that yours do not.
- Map the sources. Use both tools' source data to list third-party sites that shape answers in your category.
- Choose targets: pages to improve, and sources to earn mentions on.
- Measure your own results with your analytics, Search Console's generative AI report, and custom prompts.
What are the limits of each?
- Similarweb's estimates are weaker for small sites, where there is less underlying data, and for traffic that arrives without a referrer, such as visits from AI apps. A small competitor may appear to get no AI traffic when it gets some.
- Similarweb's prompt data shows prompts behind the topics you choose, which is a sample, not every question users ask.
- Ahrefs' prompt database leans heavily towards AI Overviews, so blended visibility figures reflect Google more than other assistants.
- Ahrefs' traffic figures for competitors are organic search estimates, not AI referrals.
- Neither tool sees what logged-in users with personal history are shown.
Keep these limits in mind when turning research into targets. Cross-check any surprising finding against your own analytics and a few manual searches.
Which should you choose if you can only have one?
- Choose Similarweb if your main questions are about traffic and market share, such as how much AI sends to competitors, which pages, and how that is changing. It also suits teams that already use Similarweb for competitive research.
- Choose Ahrefs if your main questions are about content and links: which pages get cited and what it takes to join them. It also suits SEO teams already using Ahrefs.
Related comparisons are in Profound vs Similarweb, Ahrefs vs Semrush for AI optimization and BrightEdge vs Semrush vs Ahrefs for AI agent citations.
What might a combined analysis look like?
Consider an illustrative project management software company. Similarweb showed that a competitor received several times more estimated ChatGPT referral traffic, most of it to three comparison pages and a template library. In Ahrefs, those comparison pages were cited in AI answers for "best project management tool for agencies" and similar prompts. They also had links from two widely cited review roundups. The company rebuilt its own comparison pages with clearer pricing and use-case tables, published a template library, and pitched the two roundups. It then tracked its own AI referrals in analytics and its citations with custom prompts in Ahrefs.
What do people ask about Similarweb and Ahrefs for AI research?
Is Similarweb's AI traffic data accurate?
It is modelled, so treat it as an estimate for comparing sites and trends. Your own analytics is more accurate for your site.
Can Ahrefs show competitors' AI traffic?
Not directly. It shows their AI citations, links and estimated organic traffic.
Which has better prompt data?
Both offer prompt insight. Ahrefs has a large prompt database with volume estimates, and Similarweb shows prompts behind the topics you track.
Do I need both?
For in-depth competitive research, often yes. For routine tracking, one tool plus your own analytics is usually enough.
Published by The Kovmere Team · updated Sep 29, 2026 · More resources