Key takeaways
- Traditional keyword research tools were built for Google's 10-blue-links world -- they're useful but incomplete for AI search, where the goal is getting cited, not just ranked.
- Ahrefs and Semrush have added AI-specific features (like AI Search Intents and AI Overviews tracking) but their core data is still built around traditional SERP rankings.
- Question-focused tools like AlsoAsked and AnswerThePublic are more naturally aligned with how AI models pull answers -- they surface the conversational queries AI engines actually respond to.
- kwrds.ai is purpose-built for AI search query research, making it worth considering if AI visibility is your primary goal.
- The smartest approach in 2026 is to combine tools: use a traditional platform for volume and competition data, then layer in question-based and AI-native tools to find the prompts AI models are actually answering.
Something shifted in 2025 that most SEO teams are still catching up to. It's not that Google rankings stopped mattering -- they still do -- but a growing chunk of search behavior now happens inside ChatGPT, Perplexity, Google AI Overviews, and similar interfaces. Users type conversational questions, get synthesized answers, and never click through to a traditional SERP.
That changes what keyword research is actually for. If you want to appear in those AI-generated answers, you need to know which questions AI models are answering, which sources they're citing, and what your content is missing. The tools built for 2019-era SEO weren't designed with any of that in mind.
So let's look at the five tools named in this comparison -- Ahrefs, Semrush, AlsoAsked, AnswerThePublic, and kwrds.ai -- and be honest about what each one does well, where it falls short, and when you'd actually reach for it in 2026.
What AI search actually needs from keyword research
Before getting into the tools, it's worth being clear about what "keyword research for AI search" means in practice.
When a user asks ChatGPT "what's the best project management tool for remote teams," the model doesn't look up a keyword ranking. It draws on training data and, in some cases, real-time retrieval to synthesize an answer. The sources it cites are the ones that answered that specific question clearly, with enough authority that the model trusts them.
So the research task is different. You're not just looking for high-volume keywords with low difficulty. You're looking for:
- The specific questions people are asking AI models (not just Google)
- The angle or framing that AI models tend to use when answering those questions
- The content gaps on your site -- questions the AI wants to answer but can't find good sources for
Some tools help with parts of this. None of them do all of it perfectly yet.
Ahrefs: still the gold standard for traditional data, with AI features bolted on
Ahrefs remains one of the most trusted keyword research platforms in the industry, and for good reason. Its keyword database is enormous, its backlink data is reliable, and the Keywords Explorer interface is genuinely well-designed -- cleaner and more intuitive than Semrush's equivalent.
In 2026, Ahrefs added an "AI Search Intents" metric that tries to classify which keywords are likely to trigger AI-generated answers rather than traditional results. It also tracks which keywords appear in Google AI Overviews, which is useful if Google's AI Mode is a priority for you.
What Ahrefs does well for AI search:
- Identifying keywords that trigger AI Overviews in Google
- Understanding search intent at scale (informational vs. commercial vs. navigational)
- Finding question-based keywords through its "Questions" filter in Keywords Explorer
- Competitive gap analysis to see what topics competitors rank for that you don't
Where it falls short: Ahrefs is fundamentally a Google-first tool. It doesn't tell you what queries people are typing into ChatGPT or Perplexity. It doesn't show you which sources those models are citing. The AI features are useful additions, but they're built on top of a traditional SEO foundation -- which means you're still working with Google SERP data, not AI model behavior.
For teams that do most of their work in Google and want AI Overviews coverage as a secondary priority, Ahrefs is hard to beat. If ChatGPT or Perplexity visibility is your main goal, you'll need to supplement it.
Semrush: more features, similar limitations
Semrush has always competed with Ahrefs on breadth rather than depth. It covers more ground -- PPC data, social tracking, content optimization, site audits -- but the individual modules are sometimes less polished than Ahrefs' equivalents.
On the AI search front, Semrush has been active. Its Keyword Magic Tool now flags keywords associated with AI Overviews, and the platform tracks AI Overview presence for monitored keywords. There's also a ContentShake AI tool that helps generate content optimized for both traditional and AI search.
The honest assessment: Semrush's AI search features are useful if you're already a Semrush subscriber and want to layer in some AI visibility awareness. But like Ahrefs, the core data engine is Google-centric. The "AI search" features are mostly about Google's AI Overviews, not about ChatGPT or Perplexity behavior.
One area where Semrush has an edge over Ahrefs: its Keyword Magic Tool surfaces more long-tail and question-based variations, which tend to be more relevant for AI search research. The sheer volume of keyword suggestions can be overwhelming, but it's useful for finding conversational query patterns.
AlsoAsked: underrated and genuinely useful for AI search
AlsoAsked is a smaller, more focused tool that scrapes Google's "People Also Ask" boxes to map out question clusters. You enter a seed keyword, and it shows you a tree of related questions that Google surfaces for that topic.
This sounds simple, but it's actually quite well-aligned with how AI search works. AI models tend to answer questions that have clear, established patterns of user intent -- and "People Also Ask" data is a reasonable proxy for that. If Google is surfacing a question in PAA boxes, there's a good chance AI models are fielding similar queries.
What AlsoAsked does well:
- Mapping question clusters around a topic quickly
- Showing the hierarchy of questions (which questions lead to which sub-questions)
- Identifying the specific phrasing people use when asking conversational questions
- Exporting question data for content planning
The limitation is that AlsoAsked is a research tool, not a full SEO platform. It doesn't give you search volume, keyword difficulty, or competitive data. You'd use it alongside Ahrefs or Semrush, not instead of them. But for understanding the question landscape around a topic -- which is exactly what you need for AI search content -- it punches above its weight.
AnswerThePublic: good for content ideation, less precise for AI search
AnswerThePublic has been around for years and remains popular for content ideation. It generates a visual map of questions, prepositions, comparisons, and related terms around a seed keyword, drawing on autocomplete data from Google and Bing.
The tool was acquired by Neil Patel's NP Digital, and the free version now has significant limitations (a small number of daily searches). The paid version is more useful but competes with tools that offer more data for similar prices.
For AI search specifically, AnswerThePublic is useful but imprecise. The question formats it surfaces ("how," "what," "why," "can," "will") do match the conversational style of AI search queries. But the data is based on autocomplete suggestions, which can be noisy and doesn't tell you which questions AI models are actually prioritizing.
Where it still earns its place: early-stage content ideation, especially for teams that want a visual overview of a topic's question landscape. It's good for brainstorming, less good for precise AI search optimization.
kwrds.ai: purpose-built for AI search queries
kwrds.ai is the newest entrant in this comparison and the one most explicitly designed for the AI search era. Rather than adapting traditional keyword data for AI use cases, it's built from the ground up to surface queries that AI models are answering.
The core idea: kwrds.ai analyzes what questions are being asked in AI interfaces and which content is being cited in response. This is a fundamentally different data source than Google's search index, and it produces meaningfully different keyword suggestions -- longer, more conversational, more specific.
Features worth noting:
- AI-native query discovery (not just Google autocomplete)
- Question clustering by topic and intent
- Citation analysis showing which types of content AI models prefer for each query type
- Integration with content brief workflows
The honest caveat: kwrds.ai is newer and its data coverage is still maturing compared to Ahrefs or Semrush. For traditional SEO metrics -- search volume, keyword difficulty, backlink data -- you'll still want one of the established platforms. But for teams specifically trying to optimize for ChatGPT, Perplexity, or Google AI Mode, it fills a gap that the bigger tools don't.
Head-to-head comparison
| Tool | AI search queries | Traditional SEO data | Question mapping | Volume/difficulty data | Price range | Best for |
|---|---|---|---|---|---|---|
| Ahrefs | Partial (AI Overviews) | Excellent | Good (Questions filter) | Excellent | $129-$449/mo | Teams prioritizing Google rankings + AI Overviews |
| Semrush | Partial (AI Overviews) | Excellent | Good (Keyword Magic Tool) | Excellent | $139-$499/mo | Teams wanting an all-in-one platform |
| AlsoAsked | Good (PAA proxy) | None | Excellent | None | Free / ~$15-$49/mo | Question cluster mapping, content planning |
| AnswerThePublic | Moderate | None | Good | None | Free / ~$11-$99/mo | Content ideation, brainstorming |
| kwrds.ai | Excellent | Limited | Good | Limited | ~$29-$99/mo | AI-first keyword research |
How to combine these tools in practice
No single tool covers everything you need for AI search keyword research in 2026. The practical approach is to use them in layers:
Start with Ahrefs or Semrush to understand the traditional search landscape. What are the high-volume keywords in your space? What's the competitive difficulty? What topics do your competitors rank for that you don't? This gives you the strategic foundation.
Then use AlsoAsked to map the question clusters around your target topics. For each major topic, run it through AlsoAsked and export the question tree. These questions are your AI search content targets -- the specific queries you need to answer clearly and completely.
Layer in kwrds.ai for AI-native query discovery. The questions it surfaces will often be longer and more specific than what you find in traditional tools, and they're more likely to match what users are actually typing into ChatGPT or Perplexity.
Finally, use AnswerThePublic for ideation when you're starting a new topic area and want a broad overview before narrowing down.
This stack isn't cheap if you're paying for all of them, but you don't have to. AlsoAsked has a useful free tier, and kwrds.ai is affordable enough to add on top of an existing Ahrefs or Semrush subscription.
The gap these tools don't fill: tracking what AI models actually cite
Here's the honest limitation of all five tools in this comparison: they help you find queries to target, but they don't tell you whether your content is actually being cited by AI models after you publish.
That's a different problem -- and it requires a different category of tool. If you're serious about AI search visibility, you eventually need to track which AI models are citing your pages, which competitors are getting cited instead of you, and which content gaps are costing you visibility. Tools like Promptwatch are built specifically for that -- tracking citations across ChatGPT, Perplexity, Google AI Overviews, and other AI engines, and identifying the answer gaps you need to fill.
The keyword research tools in this guide are the starting point. They help you figure out what to write. But closing the loop -- knowing whether it worked -- requires visibility tracking that goes beyond keyword rankings.
Which tool should you actually use?
If you're already paying for Ahrefs or Semrush, don't cancel them. Their AI search features are improving, and their traditional data is still essential for understanding the competitive landscape. Add AlsoAsked to your workflow for question mapping -- it's cheap enough that there's no reason not to.
If AI search is your primary focus and you're starting fresh, kwrds.ai is worth a serious look. It won't replace a traditional SEO platform, but it gives you data that Ahrefs and Semrush simply don't have yet.
AnswerThePublic is useful for content ideation but has been somewhat overtaken by AlsoAsked for question-specific research. If you're choosing between the two, AlsoAsked gives you more structured, actionable data.
The shift to AI search doesn't make keyword research obsolete -- it makes it more important and more complex. The teams that figure out how to research AI-native queries, create content that answers them clearly, and track whether that content gets cited will have a real advantage in 2026 and beyond.