The Best AI Visibility Tools in 2026: GEO Tools Ranked (Honest Roundup)

The short answer

If you are a solo founder or a small team, start with GetIntel ($29/mo) or Otterly.AI ($29/mo); if you want a free starting point, LLMrefs has one. If you already pay for Ahrefs or SE Ranking at a tier that includes AI tracking, use that module before buying a second subscription. Semrush's AI Visibility Toolkit is different: it's a separate $99/mo purchase even for existing Semrush customers, so it doesn't get the same free pass. If you are buying through procurement and need engine breadth, Profound is the established choice.

Everything below is the reasoning, the pricing and the trade-offs behind that, grouped by who you are rather than by vendor.

Two things worth knowing before the list. Most of these tools price for enterprises, so a small team gets drowned in dashboards built for ten-person marketing departments. And tracking citations is only half the job: the tools that move the needle also tell you why you are not cited and what to change.

Disclosure: GetIntel publishes this roundup and sells one of the tools in it. We list ourselves first in the tier we fit. Read it as a vendor's buyer-side comparison, not an independent test, and check every price against the vendor's own page before deciding.

Comparison Table

Prices checked 12 August 2026, then re-verified against each vendor's own pricing page between 18 and 27 August 2026 (dates and full breakdowns linked per row below). They still move often in this category; check the vendor's own page before deciding.

Which of these do AI engines actually cite?

Every roundup in this category, including this one, ranks tools by the writer's judgement. We also measured it, which is the part nobody else publishes.

On 12 August 2026 we ran 20 neutral buyer questions - written deliberately without our own positioning or vocabulary, because our own tracked prompt set flatters us - across ChatGPT, Perplexity, Gemini and Google AI Overviews, twice each. That produced 2,166 citations across 474 domains, and the established SEO suites led, followed by the better-funded startups in the category.

GetIntel was not cited at all in that run. We are reporting it rather than leaving it in a file nobody opens, because it is the obvious objection to a vendor ranking itself first: our recommendation above is about fit, price and workflow, not citation share, and on citation share we currently lose to companies with a decade of published content. The full ranking and all 20 prompts are published, and the AEO-specific version is broken out separately because engines answer that question with a different set of vendors. We have put it in the dataset rather than the page because a leaderboard of competitors is not what a buyer's guide is for, and the numbers are there for anyone who wants to check our working.

What that measurement does and does not tell you matters more than the order. It does not measure product quality: citation counts reward publishing about the category and say nothing about whether the software works. What it measures is which vendors an engine names today, which is a function of how long a company has been publishing and how much of it, so it favours incumbents and tells a buyer very little about fit.

If you are a solo founder or a small team

GetIntel: best for solo SaaS founders who also need the fix shipped

GetIntel was built for solo SaaS founders and very small teams who need to know whether AI models cite their product, and what to do about it if they do not.

You enter your brand and the queries your buyers actually ask. GetIntel runs them daily across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews, scores you on 5 pillars, and drafts the specific fix rather than telling you to "create more content." From $29/month, with a free AI citation checker if you want a baseline before paying anything.

Honest assessment: GetIntel is narrow by design. It is not a full SEO suite, it does not do backlink analysis, and it does not have agency-scale reporting. If you need multi-client dashboards or enterprise-grade data pipelines, look elsewhere. If you are a founder who wants to stop guessing and start fixing, it is the most direct path from "I have no idea if AI mentions me" to "here is my fix list."

Otterly.AI: best for SMBs and indie hackers who need multi-market coverage

Otterly.AI sits at the more accessible end of the market and has built a solid reputation among SMBs and indie hackers who want to monitor their AI search presence without a procurement process.

It tracks mentions across ChatGPT, Perplexity, and Google AI Overviews, shows you where competitors appear, and alerts you when your visibility changes. The interface is clean and setup time is short. The full four-tier ladder ($29, $189, $489, and from $1,000) is in Otterly AI pricing 2026, read from their page on 22 August 2026.

Honest assessment: Otterly is a good monitoring tool. It shows you what is happening. It is lighter on the "here is exactly what to change" side, so you may find yourself looking at data and needing to figure out the next step on your own. For teams that have the SEO knowledge to translate data into action, that is fine. For founders who want a more guided path, the workflow is less complete.

LLMrefs: best free starting point

LLMrefs is the most accessible entry point on this list: it offers a genuinely free tier, alongside free tools like an llms.txt generator, and tracks brand mentions across the major engines including ChatGPT, Perplexity, Gemini, and Google AI Overviews.

The platform leans into AI search volume and fan-out query analysis, trying to answer not just "am I mentioned" but "how much demand exists for the prompts I am missing."

Honest assessment: the free tier makes LLMrefs a reasonable first stop if you have never checked your AI visibility and do not want to enter a credit card. As with most free tiers, the limits arrive quickly and the fix-generation side is thinner than paid alternatives. Use it to establish a baseline, then decide whether you need something with more depth. The paid tier ($79/mo for 500 prompts) and what its free-tier limits actually are is covered in LLMrefs pricing 2026.

LLM Pulse: best for multi-engine tracking on a budget

LLM Pulse covers an unusually wide surface for its price point. Plans start at 49 euros/month with a 14-day trial, and every tier tracks ChatGPT, Perplexity, Gemini, Google AI Mode, and Google AI Overviews with unlimited team seats: that is broader default engine coverage than most tools at that price.

Beyond prompt tracking, the platform layers on citation source analysis, sentiment tracking, YouTube and Reddit intelligence, AI traffic analytics, and a GEO writer. Claude, Copilot, Grok, DeepSeek, and Alexa for Shopping are available as paid add-ons on every self-serve tier, not gated behind Enterprise, though none carry a published individual price.

Honest assessment: for a team that wants multi-engine coverage without an enterprise conversation, the entry pricing and unlimited seats are hard to argue with. The Reddit and YouTube source intelligence is a real differentiator given how heavily AI engines lean on those sources. The main caveat is that the Claude add-on has no stated price, so you can't compare its true cost until you talk to sales. Its five tiers actually split by tracking cadence at two different prices each, worked through in LLM Pulse pricing 2026.

If you are a growing team or an agency

Dageno: best for small teams who want AEO agents

Dageno is differentiated by its agent-based workflow rather than by citation volume, and it takes a different angle than pure monitoring: it is built around "agents" that do the work (Opportunity Analyst, Content Writer, Pitch Builder, SEO/GEO Auditor, Backlinks), with limits measured in agent credits rather than just prompts.

Pricing starts at $79/month for 50 prompts across any 3 platforms of your choosing, with daily tracking and up to 10 competitors. The full tier breakdown, including the agent-credit allowances and how the per-prompt rate compares with rivals, is in Dageno pricing 2026. $199 Growth gets 150 prompts, $499 Scale gets 500. Every non-enterprise tier caps you at 3 platforms.

Honest assessment: the agent-based model is genuinely differentiated, and the pre-sales pitch reports make it interesting for agencies. The catch is the 3-platform cap on every non-enterprise tier: if you want to watch all five major engines, you are either paying for Enterprise or accepting blind spots. Worth evaluating if you like the do-the-work-for-you framing and can live with tracking a subset of engines.

Peec AI: best for marketing teams and agencies wanting unlimited seats

Peec AI is focused on GEO analytics for marketing teams and agencies, with a particular emphasis on competitive intelligence. Its share-of-voice tracking across AI engines is one of its strongest features: you can see not just where you appear but how your presence compares to specific competitors across different query categories.

Every self-serve tier picks any 3 engines from a list of 6 (ChatGPT, Google AI Mode, Google AI Overviews, Microsoft Copilot, Perplexity, Gemini), and Enterprise expands to 11. Pricing is tiered and includes agency-friendly features like multi-client reporting; the actual numbers, $80/$205/$420 a month billed annually or $95/$245/$495 monthly, are in Peec AI pricing 2026.

Honest assessment: Peec is a strong choice for agencies managing GEO for multiple clients, or for in-house teams that need to present competitive data to stakeholders. It is less well-suited to the solo founder who wants a simple "am I cited and what do I fix" answer. The learning curve is real.

Athena (AthenaHQ): best for growth-stage brands

Athena (AthenaHQ) positions itself as a comprehensive GEO platform for growth-stage brands. It covers the major AI engines and offers a structured approach to improving AI visibility through content and brand optimization guidance.

The platform emphasizes prompt testing, letting you simulate what AI engines see when they respond to queries relevant to your category. That is genuinely useful for understanding the gap between your current brand footprint and what would get you cited.

Honest assessment: Athena is one of the more thoughtful platforms in the category. It's not fully custom-quote: a self-serve Starter tier shows $295 on page load (not confirmed as either a monthly or an annual-equivalent rate), read 26 August 2026, in AthenaHQ pricing 2026, well above the entry price of most tools on this list but potentially reasonable for a Series A company with a marketing budget. The product roadmap appears active and the team is clearly building toward a complete GEO workflow rather than just a monitoring dashboard.

If you already pay for an SEO suite

SE Ranking: best if you already pay for SE Ranking

SE Ranking is an established, full-stack SEO platform that added an AI visibility tracker rather than a startup built AI-first. That heritage is the whole point: you get AI citation tracking sitting next to keyword rank tracking, site audits, backlink monitoring, and competitor research in one subscription.

The AI visibility tracker covers the major engines and slots into SE Ranking's existing reporting, which means it inherits the platform's white-label client reporting: genuinely useful for agencies already running client SEO through it.

Honest assessment: the same logic as Ahrefs applies, though it's the opposite pricing structure from Semrush: SE Ranking's AI prompt tracking is bundled into its $129-$279 SEO platform tiers, plus a separate $89 add-on, read from seranking.com/pricing.html on 26 August 2026 (full breakdown in SE Ranking AI visibility pricing 2026). If you already pay for SE Ranking, turning on AI visibility tracking is an easy call. If you do not, the AI-specific depth is not a strong enough reason to migrate your whole SEO stack. The advantage is consolidation, not best-in-class GEO depth.

Ahrefs Brand Radar: best if you already pay for Ahrefs

If you already use Ahrefs, Brand Radar is worth enabling. It is included in select Ahrefs plans and tracks your brand's mentions and citations across ChatGPT, Perplexity, and Google AI Overviews.

The integration with the broader Ahrefs ecosystem is a real advantage. You can connect your AI visibility data with your backlink profile, organic keyword rankings, and content audit in one place. For SEOs who live in Ahrefs, this removes the need for a separate tool for basic AI monitoring.

Honest assessment: Brand Radar is not a standalone GEO platform. It is a useful addition to an existing Ahrefs workflow. The depth of analysis and the number of engines covered is more limited than dedicated GEO tools. If you do not already pay for Ahrefs, it is not worth subscribing just for Brand Radar. If you do, turn it on.

Semrush AI Visibility Toolkit: a standalone $99/mo product, not a Semrush-tier perk

Unlike Ahrefs' Brand Radar, this isn't something that unlocks at a higher Semrush tier: it's sold as its own $99/mo-per-domain product with its own checkout, confirmed on Semrush's own pricing page as of 27 August 2026 (full breakdown in Semrush AI Visibility Toolkit pricing 2026). You manage it from inside the same Semrush account as your keyword and backlink work, but you pay for it separately whether or not you already have a Semrush plan.

Semrush has integrated AI visibility data into its familiar interface, which reduces the learning curve significantly for teams already running SEO reporting through the platform. Coverage spans ChatGPT, Google AI, Gemini and Perplexity, with 25 tracked prompts and 300 AI analysis reports a day at the base tier.

Honest assessment: The Semrush AI Visibility Toolkit is best understood as an add-on you can buy alongside an existing Semrush workflow, not a free upgrade you unlock by paying more for core SEO. The standalone value for GEO-specific work is reasonable but not differentiated compared to purpose-built tools. For teams already on Semrush, activating it means learning one more product inside a familiar account rather than a genuinely bundled feature.

If you are buying through procurement

Profound: best for enterprise breadth, at enterprise prices

Profound is the most serious enterprise player in the GEO analytics space. It was one of the first platforms to systematically track brand visibility across AI answer engines at scale, and the depth of the product reflects that.

The platform covers a wide range of AI engines and provides the kind of reporting infrastructure that large marketing teams need to present upward. The analytics go deep on competitive share-of-voice data, sentiment tracking, citation context, and historical trends.

Honest assessment: Profound is built for big brands with dedicated analytics teams and budgets to match. Pricing is custom and enterprise-tier. If you are a solo founder or a team under ten people, the complexity and cost will outweigh the value. If you are a brand with a real marketing organization that needs attribution modeling and boardroom-ready reporting, Profound is worth serious consideration.

Scrunch AI: best for enterprise brand teams

Scrunch AI focuses on brand presence monitoring across AI engines at enterprise scale. It is built for organizations that need to track how their brand, products, and messaging are represented in AI-generated content across a large volume of queries and markets.

The platform has capabilities around brand safety: understanding not just whether you are cited but whether you are cited accurately and in the right context. For a large brand, that distinction matters.

Pricing used to be entirely sales-led, but that changed: Scrunch now publishes a self-serve Core tier at $250/month, confirmed on its own pricing page as of 26 August 2026 (full breakdown in Scrunch AI pricing 2026). Above Core, expect a sales conversation; whether that comes with an annual commitment isn't stated clearly on the page.

Honest assessment: Scrunch is still built enterprise-first in product design, but it is no longer pricing-opaque the way it was earlier in 2026. The $250/mo Core tier gives a mid-market team a real self-serve entry point to evaluate fit before a bigger commitment; the accuracy-monitoring depth above that still targets brand teams tracking many markets, and the cost climbs from there.

Conductor / Bluefish AI: best for enterprise SEO teams

Conductor is a well-established enterprise content intelligence platform that has added AI visibility and GEO capabilities as part of its broader roadmap. Bluefish AI represents the more AI-native layer being built on top of that foundation.

For enterprise SEO teams that already use Conductor for content planning, editorial workflows, and organic performance tracking, the GEO additions are a natural extension. The platform has the enterprise integration depth (CMS connectors, workflow tooling, team permissions) that large organizations require.

Honest assessment: Conductor is a serious platform for serious enterprise teams, and the AI visibility layer is an extension of that rather than the reason to buy it. It is not a tool you adopt quickly or cheaply: expect procurement, onboarding, and a real implementation timeline. Neither Conductor nor Bluefish AI publishes a price at all, as of 26 August 2026 (full check here), so budgeting for either starts with a sales call, not a pricing page. If your organization already has a Conductor relationship, the AI visibility features are worth evaluating on their own merits. If you are starting from scratch and only want AI citation tracking, the onboarding investment is far larger than a purpose-built tool.

If you are already paying for an SEO suite, the switching question is worth its own look.

How to Choose the Right GEO Tool

The right AI visibility tool depends almost entirely on where you sit:

Solo founder or very small team: Start with the free AI citation check to understand your baseline. If you need to act on what you find, GetIntel is built for this exact situation: multi-engine tracking, a scored framework, and specific fixes, at a price that makes sense for a bootstrapped product.

SMB or small marketing team: Otterly.AI ($29/mo) and LLM Pulse (49 euros/mo) are the accessible entry points, with LLM Pulse covering more engines by default. Dageno is worth a look if you want its agent-based workflow. Peec AI is worth a look if competitive intelligence is a priority.

Agency managing multiple clients: Peec AI and Athena both have agency-friendly features. The right choice depends on which reporting workflow fits your existing stack.

Enterprise or large brand: Profound, Scrunch, and Conductor are the platforms designed at your scale. Evaluate based on your existing toolchain, your team's technical capacity, and your specific use case (monitoring vs. attribution vs. content strategy).

One thing is true across all of these: understanding how AI models rank and cite content is not optional anymore. The brands that treat GEO as a 2027 problem will spend 2027 catching up.

If you are not sure where you stand today, the fastest first step is a free audit. Run your brand through GetIntel's free AI citation checker. It takes two minutes, covers the five major AI engines, and gives you a concrete starting point. No credit card, no sales call.