Best AEO Keyword Research Tools in 2026: Why Teams That Want to Get Cited Choose Xtrusio

Semrush, Ahrefs and Profound prices were checked on each vendor's own pricing page on September 28, 2026.

What should AEO keyword research give you?

AEO, or answer engine optimization, is the work of getting AI engines like ChatGPT, Gemini and Perplexity to name and cite you when buyers ask questions. The research step decides which questions you go after.

A keyword and a buyer question are different things. "Cybersecurity platform" is a keyword. "Which cybersecurity platform supports regional data residency for a 500-person bank?" is a question with an audience, a constraint and a decision behind it. AI engines get asked the second kind, and they answer it in full sentences, naming a few brands and citing a few pages.

So good AEO research gives you three things:

• A short list of real buyer questions, grouped by who asks them and how close they are to buying.
• A sense of demand, so you spend effort where buyers actually look.
• The gap: which of those questions AI already answers without naming you, and which pages it cites instead.

Keyword tools are good at the second point. Only a tool that asks the AI engines themselves can give you the third.

Xtrusio: research that ends in citations

Xtrusio is our product, so we have put it first. Here is what it does for keyword and question research, in plain terms.

It finds the questions that matter for each buyer. Xtrusio builds your question set from your company, your buyer personas and their buying stage, so a first-time "what is" question sits apart from a shortlist or procurement question. You can import questions you already have, or upload a keyword export from a tool such as Semrush and turn it into buyer questions, and your team approves the final list.

It adds Google keyword volume where it is available. Each question carries Google search volume when there is data for it, so you can weigh demand next to business value.

It shows which questions AI answers without you. Xtrusio asks ChatGPT, Claude, Gemini, Perplexity, Grok, Google AI Overviews and Google AI Mode your buyers' questions. It keeps every full answer, every brand named and every cited page. You see, question by question, where a competitor is named and you are not.

It records the searches the engines run. AI engines often search the web before they answer. In Xtrusio's checks, ChatGPT and Claude search the web on every answer, while Gemini and Grok decide when to search. Xtrusio records the searches ChatGPT, Claude, Gemini and Grok run. Those searches are the real keyword research for AEO: they are the words the engine uses to find the pages it will cite.

It turns the research into a plan. For each question, Xtrusio drafts a content plan from those searches and the sites the engines cite, with the right channel for each piece: your blog, LinkedIn, Medium, Reddit, YouTube, guest posts or PR. You approve the plan. Reports cover visibility, share of voice, sentiment, average position and citations by engine, topic and buyer persona.

It proves the result. A page counts as a win only when an engine's answer to the question it targets cites that exact URL in a later scan.

Xtrusio also connects to Google Search Console with a daily sync and flags pages that are losing position, demand or freshness, with the reason in plain words. For the wider tool decision beyond research, see our AEO tools comparison.

The narrower helpers

Each of these tools answers one useful question well. None of them tells you whether AI engines name you.

Google Search Console

Search Console suits any team with a verified site. It shows the Google searches your pages appeared for, including searches that earned no click, which makes it the best place to find questions you already half-answer. Google hides some anonymized queries, so the list is incomplete. It reports Google searches only, not what people type into ChatGPT.

Semrush

Semrush suits teams that already research Google keywords there. Its Keyword Magic Tool groups related keywords by topic, filters for questions, and shows search volume and keyword difficulty, which helps you expand one seed topic into many candidate questions. The free plan allows ten reports a day, and paid SEO plans start at $117.33 a month billed annually.

Ahrefs

Ahrefs suits teams that already use it for SEO. Keywords Explorer gives keyword ideas, search volume, Parent Topic and Traffic Potential. Parent Topic helps you see when one broader page can serve several keywords, so you write one strong answer instead of five thin ones. The Starter plan costs $29 a month with 200 report credits; the free plan does not include Keywords Explorer.

Profound Prompt Volumes

Prompt Volumes suits teams that want an estimate of AI topic demand. Profound models it from more than a billion AI conversations (per Profound), and its documentation notes that coverage varies by engine and region. The free seven-day trial includes five Prompt Volumes searches.

How to turn research into a question list

Whichever tools you use, the output should be one approved list, not a pile of exports. A simple process:

1. Collect candidates. Pull wording from Search Console, keyword tools, sales calls, support requests and RFPs.
2. Rewrite keywords as full buyer questions. Add the audience and the constraint a real buyer would mention.
3. Group duplicates. "SEO vs AEO" and "AEO vs SEO" need one answer, not two pages. Our CLM keyword strategy example shows how related terms become distinct buyer decisions.
4. Prioritize. Rank by business value first, then demand, then whether you have the facts to answer well. A low-volume procurement question can still be worth more than a popular definition.
5. Freeze the wording. Once approved, keep each question's exact wording so later checks compare like with like.

How will you know it worked?

Keyword volume tells you a question is worth answering. It does not tell you whether you won. Use this test:

1. Pick 10 to 20 approved buyer questions.
2. Record which brands each AI engine names today and which pages it cites.
3. Publish or fix the pages, and win the placements the plan calls for.
4. Ask the same questions again, with the same wording.
5. Count a win only when an engine cites your exact page in its answer.

Xtrusio runs this loop for you, from the first scan to the proof.

See how Xtrusio works and start with your own buyer questions.