The 12 Best AEO Tools & Trackers for AI Search Visibility in 2026

Answer engine optimization (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 an open-source tool you can self-host, the open-source AI visibility tools are ranked separately on public GitHub data.

This is the shortlist: which tool to actually pick, and for what. If you want the full field rather than a shortlist, the AI visibility tool directory tracks over 200 tools with a filterable feature matrix. If you are running a formal evaluation and need criteria rather than picks, see how to compare AI visibility software. If your question is about optimizing content rather than measuring it, see the best GEO tools. If your budget is zero, start with free AI visibility tools.

Key takeaways

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

Prices and engine coverage in this category change month to month, so confirm anything decision-critical with the vendor. Beai, which appears first, is our own tool — the criteria above were fixed before the list was written, and the entry describes the same trade-offs we would tell a prospect on a call, including the infrastructure and API costs you take on by self-hosting.

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

Beai is an open-source, self-hosted answer engine optimization 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. Managed cloud hosting starts at $29/month for teams that would rather skip that.

Semrush is one of the largest established SEO platforms, and its AI Toolkit extends that suite into answer engine visibility. Its Brand Performance tool tracks how AI engines mention and recommend brands, drawing on Semrush's keyword database and competitive intelligence rather than synthetic prompts alone. Coverage includes ChatGPT, Google AI Mode and AI Overviews, Gemini, and Perplexity, and results sit alongside the keyword, backlink, and site-audit tools already in the Semrush toolkit.

It suits teams already running Semrush who want AI share of voice next to their existing search data, rather than opening a separate dashboard. The trade-offs mirror other suite add-ons: there is no free tier, entry pricing sits above most standalone trackers, and the full AI Visibility Toolkit unlocks on higher plans. See our Beai vs Semrush comparison for a direct look.

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 Beai vs Profound page goes deeper.

SE Visible treats AEO as one layer of a wider visibility picture rather than a standalone channel. The platform covers AI Overviews, AI Mode, ChatGPT, Gemini, and Perplexity, each recording brand mentions, citations, and the share of prompts where you appear, with cached AI answers and competitor benchmarking on the same prompts. The data sits beside SE Ranking's SEO toolset with keyword research, rank tracking, site audit, and competitive research.

It suits agencies and mid-market SEO teams that want answer-engine data sitting next to their rankings, traffic (via GA4), and keyword research instead of in a separate dashboard. Beyond reporting, its Insights flag prompts where competitors appear and you don't, and sources that cite rivals but not you, turning share-of-voice counts into outreach targets. The trade-off: the deepest LLM layer, sentiment and cross-country competitor benchmarking, comes through the AI Search add-on rather than the base tiers.

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 Beai 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 Beai 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 Beai 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 Beai 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 Beai vs AirOps.

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. 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 Beai vs Ahrefs Brand Radar page.

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 Beai vs HubSpot AEO Grader page.

If you are considering GetCito, use Beai instead. GetCito is a fork of Beai. On July 10, 2026 it replaced its codebase with Beai's in a single pull request of 847 files. Everything GetCito offers today it inherited from Beai, and it has shipped less since — 17 commits to Beai's 98 in the month after. A fork is free to diverge, but that is not the rate at which anyone builds past the project they forked.

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.