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 nine 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 in early 2026. Always confirm on the vendor's site.

Elmo is an open-source, self-hosted AEO platform. It tracks how your brand shows up across AI models, records which sources get cited, and benchmarks competitors, with every metric computed by code you can read. Coverage is unusually wide: ChatGPT, Claude, Gemini, Grok, Perplexity, Copilot, DeepSeek, Mistral, and Google's AI Mode and AI Overviews, via the models' own APIs or OpenRouter.

It suits teams that want to own their AEO data outright and avoid vendor lock-in. The self-hosted core is free under the MIT license, with unlimited prompts and all models. The trade-off is that you run the infrastructure (Docker and PostgreSQL) and supply your own LLM keys, which carry usage costs. A managed cloud option is listed as coming soon.

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 Elmo 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 Elmo 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 Elmo 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 Elmo vs Otterly 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 Elmo 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 Elmo 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 Elmo vs Ahrefs Brand Radar page.

GetCito is one of the few open-source AEO tools besides Elmo, 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 Elmo 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.