The Best AEO Tools for AI Visibility (2026 Guide)

AEO tools track whether AI answer engines cite your brand, and help you fix the gaps when they don't. As buyers move from typing keywords into Google to asking ChatGPT, Perplexity, and Google's AI Overviews, the question shifts from "where do we rank" to "does the AI mention us at all." This guide compares twelve tools built to answer that, from open-source trackers to enterprise platforms.

If you want the broader category that includes tools beyond pure answer engine optimization, see our roundup of the best AI visibility tools. This list stays focused on AEO: measuring and improving citations inside AI answers.

Key takeaways

Before the list, here is what actually separates these tools in practice.

Pricing reflects public information as of mid-2026. Always confirm on the vendor's site.

Recall is a managed AEO platform built around evidence. It tracks brand presence across ChatGPT, Claude, Gemini, Grok, Perplexity, Copilot, DeepSeek, Mistral, and Google's AI Mode and AI Overviews, records which sources get cited, and benchmarks competitors, pulling responses through the models' own APIs or OpenRouter.

What distinguishes it is what comes back with each number. Every figure opens onto the stored answers it was computed from and the pages each one cited, captured at the moment of citation, and carries its confidence interval. Where you are absent, Recall names the cause rather than lowering a score: the engines cannot fetch your pages, cannot resolve which company you are, are not reading sources that mention you, or describe you in terms your buyers do not use. Each has a different fix, and after one ships, the same questions are re-measured on a matched sample, so a lift is only called when the intervals separate. The trade-offs: it is closed-source with no self-hosted edition today, and ongoing measurement is paid, because every answer collected costs money to gather. The audit of your own site is free and needs no account.

Profound is an enterprise answer engine optimization platform, and it helped name the category. It monitors how AI represents your brand, analyzes the consumer queries behind that presence, and reaches beyond monitoring into content and agent building. Coverage spans Perplexity, ChatGPT, Claude, Gemini, Grok, Copilot, Meta AI, DeepSeek, and Google AI Overviews.

It fits mid-market and enterprise marketing teams running a serious AEO program. Pricing is not public; the site routes to a demo, and the enterprise framing puts it at the higher end. Our Recall vs Profound page goes deeper.

Peec AI is a self-serve AEO analytics tool built around share of voice. It measures how often your brand appears when AI systems answer buyer questions, tracks mentions and source citations, and benchmarks you against competitors. It lists ChatGPT, Perplexity, Gemini, Copilot, Grok, and Google's AI Mode and AI Overviews, with a dedicated product for agencies.

The appeal is transparent, relatively affordable pricing with unlimited users, purpose-built for AI search. Watch two things: cost scales with the number of tracked prompts, and reviews note that some engines beyond the core set carry per-model fees. See our Recall vs Peec AI comparison.

Scrunch AI goes past "did we appear" to explain why. It tracks mentions, citations, competitors, and sentiment, surfaces which sources shaped an answer, supports persona-based prompting, and audits whether AI agents can actually read your site. A GA integration attributes AI-referral traffic. Coverage includes ChatGPT, Claude, Gemini, Perplexity, Google AI Mode and AI Overviews, and Meta.

It is a good fit for brands and agencies that want source-level insight and site-readiness checks, not just a mention count. Entry pricing runs higher than several self-serve trackers, and prompt volumes are capped per tier. The Recall vs Scrunch page breaks down the differences.

Otterly is built around per-engine Brand Reports: brand mentions, coverage, domain citations, link-position changes over time, and competitive share of voice. It adds a GEO audit and a prompt-research tool, and it is notable for a low entry price with unlimited team members and daily tracking. Core tiers cover ChatGPT, Google AI Overviews, Perplexity, and Copilot.

It suits smaller businesses and lean teams that want affordable AEO tracking. The limits follow the price: Gemini and Google AI Mode are paid add-ons, and prompt counts are modest on lower tiers. See Recall vs Otterly for a direct look.

Rankshift runs answer engine monitoring on a credit-based model: you spend credits on prompts, models, and refresh frequency rather than paying a flat seat price. It captures answers from the AI web interfaces rather than the APIs, and tracks ChatGPT, Gemini, Claude, Perplexity, Mistral, and Meta AI. Its differentiator is a set of BI connectors that push results into Looker Studio, BigQuery, and Power BI.

It fits data teams that would rather report AEO metrics inside the BI stack they already use than open another dashboard. The credit model is flexible, but cost tracks usage, so heavy prompt or refresh volumes add up, and there is no free tier. See the Recall vs Rankshift comparison for a direct look.

AirOps pairs AEO tracking with a content-operations engine, so it is as much a fix-it tool as a measure-it one. On the tracking side it covers citations, competitors, and share of voice; on the execution side, its Quill agent produces and refreshes content at scale, and the platform unifies SEO, AI search, and GA4 data.

It fits content and SEO teams that want to act on the data by shipping content, not just watch a dashboard. The catch for visibility-only buyers: multi-engine tracking is gated to the Pro tier, while free and Solo tiers track ChatGPT only. There is a genuinely free tier to start. See Recall vs AirOps.

Frase began as a content-optimization and SERP-research tool, pulling headings, questions, and sources from top pages into writer-ready briefs, and has added GEO optimization and AEO tracking. It can both create content and lightly monitor how it performs in AI answers. Every plan includes its AI agent, content optimization, tracking, and site audits; only volume changes by tier.

It fits content marketers who want one tool to produce search-optimized content and keep an eye on AI citations. The caveat is depth: the AEO tracking is newer and lighter, and prompt allowances are small at entry tiers. The Recall vs Frase page shows where each focuses.

Ahrefs Brand Radar is an AEO module inside the Ahrefs SEO suite. It draws on Ahrefs' database of real, search-backed prompts rather than synthetic queries, and it sits beside the keyword, backlink, and site-audit tools Ahrefs users already rely on. It tracks AI Overviews and AI Mode, ChatGPT, Perplexity, Copilot, Gemini, and Grok.

It is the natural pick for existing Ahrefs customers extending into AEO. Two caveats: some independent reviews report accuracy issues on ChatGPT and Perplexity, and because it is priced on top of an Ahrefs subscription, full AI coverage adds up. Compare on the Recall vs Ahrefs Brand Radar page.

Semrush's AI Toolkit adds answer engine visibility to one of the largest established SEO platforms. Its Brand Performance tool tracks how AI engines mention and recommend your brand, drawing on Semrush's keyword database and competitive intelligence rather than synthetic prompts alone. It sits beside the keyword, backlink, and site-audit tools Semrush users already run, covering ChatGPT, Google AI Mode and AI Overviews, Gemini, and Perplexity.

It is the natural pick for teams already on Semrush who want AI share of voice next to their search data. The trade-offs mirror other suite add-ons: there is no free tier, entry pricing runs above most standalone trackers, and the full toolkit unlocks on higher plans. Our Recall vs Semrush comparison breaks down the differences.

HubSpot's AEO Grader is a free, one-off audit from HubSpot's marketing suite. You point it at a page and it grades content structure, schema markup, and AI readability, then returns recommendations for making that content easier for AI answer engines to parse and cite. It is free to run and needs no HubSpot subscription.

Be clear on what it is not: a grader is a point-in-time check, not continuous multi-engine tracking. It will not report your share of voice across ChatGPT and Perplexity or benchmark you against competitors over time. Treat it as a quick readiness check to pair with a monitoring tool, not a replacement for one. Compare the two approaches on the Recall vs HubSpot AEO Grader page.

GetCito is one of the few open-source AEO tools, licensed under MIT. Its standout idea is an AI Crawlability Clinic that checks how well AI bots can reach and parse your content, and the team also sells GEO playbooks and consulting. If you want a quick read on crawlability, the concept is useful.

The honest caveat is maintenance. The public repo has had a single substantive code commit since it launched in late 2025, and it is run by a marketing agency rather than a dedicated product team, so do not expect ongoing fixes or new engine support. Our GetCito vs Recall post covers this in detail.

Start with how you will use it, not a feature checklist. If you want full control and no per-seat fees, an open-source tool you self-host fits. If you want a hosted dashboard your team can open tomorrow, a self-serve subscription is simpler. If AEO is a board-level priority with budget behind it, an enterprise platform earns its keep.

Then weigh coverage, citation depth, prompt volume, and competitor benchmarking against your budget. The goal is the same either way: a reliable, repeatable read on whether AI answers cite you, and a clear path to the content and technical fixes that move the number. For the discipline behind the tools, see our guide to answer engine optimization, and the related best GEO tools guide if you frame the work as generative engine optimization instead.