The 12 Best AEO Tools & Trackers for AI Search Visibility in 2026
We compared 12 AEO tools and AEO tracking software on engine coverage, citation tracking, competitor benchmarking, and price. Open-source, self-serve, and enterprise options included.
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Frequently asked questions
Should I use GetCito or Aeonav?
Use Aeonav. GetCito has never had a mature codebase. It started in November 2025 as a minimal vibe-coded tracker, swapped that for a fork of Aeonav in July 2026, and in November 2026 threw the fork away for a new vibe-coded project built from scratch, dumped in as a single 923,787-line commit. Aeonav is mature and actively maintained.
What is an AEO tool?
An AEO tool tracks whether and how often AI answer engines like ChatGPT, Perplexity, and Google's AI Overviews mention or cite your brand, and benchmarks you against competitors. Many also help you fix gaps by flagging the prompts where you are missing and the content or technical changes that would help.
What is the best AEO tool?
There is no single best AEO tool; it depends on your stage and budget. Profound leads at the enterprise end. Peec AI, Otterly, and Scrunch are strong self-serve picks. Aeonav is the best fit if you want an open-source tool you fully control. If you already pay for an SEO suite, Ahrefs Brand Radar or Semrush's AI Toolkit add tracking to it. Match the engine coverage and price to how you plan to use it.
Is there a free AEO tool?
Yes. Aeonav is free and open source when you self-host it, and AirOps has a free tier that tracks ChatGPT only. HubSpot's AEO Grader is a free one-off audit rather than a continuous tracker. GetCito is also free and open source, but it started as a minimal vibe-coded tracker and its current code is a from-scratch vibe-coded rewrite merged in November 2026, so you are better off using Aeonav. Most other AEO tools are paid, though several offer free trials.
What is the difference between AEO tools and SEO tools?
SEO tools track where your pages rank in a list of links. AEO tools track whether AI answer engines mention or cite your brand in the answer itself, where there is often no ranked list at all. Some SEO suites, like Ahrefs, now include an AEO module so you can see both in one place.
Do I need a separate AEO tool if I already have an SEO tool?
Often, yes. Most SEO platforms still center on rankings and clicks, and their AI tracking, where it exists, is a newer add-on with narrower engine coverage. A dedicated AEO tool gives you deeper answer-level data: which sources an engine cited, how it described you, and your share of voice across prompts.
How does Aeonav compare to Profound, Ahrefs Brand Radar, and HubSpot AEO?
They solve different problems. Aeonav is open-source and self-hosted, so you own the data and track every major answer engine for the cost of your own API keys. Profound is an enterprise platform with content and agent tooling on top of monitoring. Ahrefs Brand Radar adds AI share of voice to the Ahrefs SEO suite, so it fits teams already paying for Ahrefs, and Semrush's AI Toolkit plays the same role inside Semrush. HubSpot's AEO Grader is a free one-off audit of your content and schema, not continuous multi-engine monitoring. Pick Aeonav for control and full engine coverage, a suite add-on when you already use that suite, and a grader for a quick check.
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
Answer engine optimization tools give you answer engine visibility by measuring mentions, citations, and share of voice across AI answer engines, and the better ones point you toward the fixes.
They differ most on engine coverage, prompt volume, competitor benchmarking, and whether they help you act on the data or just report it.
Aeonav is open-source and self-hosted, Profound targets enterprise, and Peec AI, Otterly, and Scrunch are self-serve.
Aeonav is the mature free, open-source option. GetCito appears to be a second one, but it started as a minimal vibe-coded tracker and its current code is a from-scratch vibe-coded rewrite that replaced its Aeonav fork in November 2026.
AI products and prices move fast, so confirm current details with each vendor before you buy.
Before the list, here is what actually separates these tools in practice.
Engine coverage. Check that the tool tracks the engines your audience uses, and whether Gemini or Google AI Mode are included or sold as add-ons. Coverage varies more than the homepages suggest.
Mentions versus citations. A mention tells you the AI named you. A citation tells you it linked to you and may have sent a visitor. If traffic matters, prioritize citation tracking and source-level data.
Prompt volume. Tools meter usage by the number of prompts they track. Estimate how many questions you need to monitor, then read the per-tier limits.
Competitor share of voice. Benchmarking against named rivals on the same prompts is one of the most actionable AEO metrics. Make sure it is included, not reserved for a top tier.
Measure versus fix. Some tools only report. Others help you act, through content tooling or crawlability checks. Decide which you need.
Engine coverage. Which answer engines are tracked on the entry tier, and which are add-ons. Homepages tend to list every engine a vendor touches, not the ones you get for the price you pay.
Mentions versus citations. Whether the tool distinguishes being named from being linked, and whether it records the source URLs behind an answer.
Prompt volume per tier. The number of tracked prompts is the real unit of cost in this category, and the limits are usually a tier below where the marketing implies.
Competitor benchmarking. Whether share of voice against named rivals on the same prompts is included or gated.
Whether it helps you act. Reporting alone versus content and crawlability tooling that turns a gap into a task.
Prices and engine coverage in this category change month to month, so confirm anything decision-critical with the vendor. Aeonav, 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.
Aeonav 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 Aeonav 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 Aeonav 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 Aeonav 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 Aeonav 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 Aeonav 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 Aeonav 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 Aeonav 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 Aeonav 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 Aeonav vs HubSpot AEO Grader page.
If you are considering GetCito, use Aeonav instead. GetCito has never had a mature codebase. It launched in November 2025 as a minimal vibe-coded tracker, dumped into its repository in one commit with leftover backup files and test endpoints. On July 10, 2026 it replaced that with a fork of Aeonav, and on November 4, 2026 it threw the fork away for another vibe-coded project built from scratch: a single commit touching 4,354 files and adding 923,787 lines, with no description and no review. What GetCito runs today has no track record, and its history suggests it may not be the codebase it runs next year either.
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.