Best AEO Analysis Tools in 2026: 8 Tools Compared

Profound is built for brands that need to know, week after week, how AI answers describe them and their competitors. It tracks prompts across major AI engines, records citations and share of voice, and adds reporting that a marketing team can share with leadership. That depth is why it appears at the top of many enterprise shortlists in 2026.

The drawback is access. Full pricing is quote-based, and the free trial covers only a limited set of engines. A small business with ten prompts to watch will get more value from a cheaper tracker. A larger brand with hundreds of prompts, multiple markets and a need for integrations will find the structure easier to justify.

Semrush makes sense if your team already lives in Semrush for classic search work. Its AI Visibility toolkit adds mentions and source views for AI answers, so you can see search rankings and AI citations in the same place. That shared view helps when a page ranks well in Google but never gets cited by an AI answer, since the fix may be structure or clarity rather than authority.

The cost adds up once you include the add-on, and prompt allowances are lower than some dedicated trackers at the same price. Still, for a team that would pay for Semrush anyway, adding AI tracking there is simpler than buying, learning and reporting from a second tool.

Scrunch pairs answer monitoring with the technical work that helps AI crawlers read your site. It tracks how your brand appears in AI answers, audits pages for gaps, and reports on agent and crawler traffic that classic analytics often miss. That combination suits mid-size teams that want both measurement and a fix list, not just a chart.

Pricing starts in the mid-hundreds per month on public plans, which puts it out of reach for a single blogger or a very small shop. If you have a content team that can act on weekly audits, the extra cost can pay for itself in faster fixes. If no one owns the audit list, a simpler tracker will serve you better.

Otterly.ai is the starting point we would suggest to a small team that wants proof of AI visibility without a large contract. For around $29 per month, you can track AI Overviews, ChatGPT and Perplexity for a focused set of prompts, see which sources get cited, and run basic content audits. That is enough to learn whether AI answers mention you at all, and where competitors are winning citations.

The limits show up as soon as your prompt list grows. You will need a higher plan for more prompts, more engines or deeper reporting. Even so, starting small is a strength here: pick your ten most valuable buyer questions, watch them for a month, and only upgrade when the data starts shaping content decisions.

Peec AI focuses on the details inside an AI answer: who is mentioned, which pages are cited, how sentiment reads, and where your brand is missing. Those gap reports are practical, because they turn a vague goal like "get cited more" into a list of questions and pages to improve. Teams that already write regularly will find the reports easy to turn into briefs.

The trade-off is price and scope. Peec AI costs more than the cheapest trackers, and it is stronger on measurement than on writing or publishing the fix. Pair it with a content tool if your bottleneck is production, not diagnosis. Used on its own, it still gives a clear weekly picture of where you stand.

Ahrefs Brand Radar brings AI prompt tracking into a tool many SEO teams already use daily. You can watch how ChatGPT, Perplexity and Gemini mention your brand, then check the same brand in keyword and backlink data without switching tools. That joined-up view helps when an AI answer cites a competitor page that also ranks well, since you can study that page in full.

Buying Ahrefs only for AEO would be wasteful, since the entry plan starts at $129 per month and the AI feature is not the whole product. For an existing Ahrefs user, though, it is the simplest way to add AI visibility. Start with the prompts your buyers already ask, compare your citations with two or three rivals, and expand only if the reports change your content plan.

AthenaHQ leans toward the content side of AEO. It produces briefs tuned for answer extraction, tracks prompts across AI engines, and adds a content agent on higher plans. That mix suits a content team whose main problem is not knowing what to write, but writing pages that AI engines can quote cleanly and confidently.

Credit pricing is the catch. Costs depend on how many models, prompts and checks you run, so a busy month can cost more than a quiet one. The free essential tier helps you test the workflow before committing. Use it to build two or three answer-first pages, track their citations for a few weeks, and then decide whether the paid coverage is worth the variable cost.

Surfer does a different job from the trackers above, and that difference matters. It scores a draft against top-ranking pages and suggests structure, terms and headings that make a page easier to quote. For AEO, that means clearer answers near the top of the page, direct FAQ sections and tables that an AI engine can lift without confusion.

Do not buy Surfer expecting a dashboard of AI mentions, because that is not its core job. Pair it with a tracker such as Otterly.ai or Peec AI: use the tracker to find questions where you are missing, then use Surfer to shape the page that should win the citation. On its own, Surfer improves the content; with a tracker, you can prove whether the improvement worked.