Best AEO Tools in 2026: Which AI Visibility Tool Should You Buy?

By Victor Xu

Founder, SIGNALS · AI Visibility Intelligence · LinkedIn

Updated October 2026

If your organic traffic is dropping, you already know why: your customers are asking ChatGPT, Claude, and Perplexity for recommendations — and getting direct answers that cite your competitors. The question is what to do about it.

There are three categories of AEO tools in 2026. Understanding which category you need is more important than picking within a category. Citation trackers tell you whether you're appearing in AI responses. Enterprise platforms add share-of-voice monitoring and reporting at scale. AEO agencies do the whole optimization program for you on a monthly retainer. Each serves a different need and a different budget.

What should you judge an AEO tool on?

Judge an AEO tool on seven criteria, read in this order: the prompt or credit allowance, which engines it reads, how often it samples, how many times it runs each prompt, whether it shows the sources behind each answer, whether it explains why you are missing, and who does the work the report implies. The first four decide whether the number you get means anything at all. The last three decide whether you can act on it. Every option below is described against these seven.

Two of the seven are worth a number rather than a principle. On sampling frequency, SISTRIX re-sampled the same prompt set weekly for 17 weeks across six countries and three platforms, 82,619 qualified prompts and 1,548,213 snapshots in all, and found Google exchanging 56% of its cited sources a week in AI Mode and ChatGPT exchanging 74%, while AI Overviews held completely stable for just over half of queries (SISTRIX, AI Citation Drift, checked 7 October 2026). A tool that samples monthly cannot separate a real drop from that week's rotation, which is the distinction our guide to measuring AI citation decay works through with the arithmetic. On allowance, read the unit before the headline price, because a plan quoted in credits charges one credit per AI response and the same money buys very different panels depending on how often each prompt is run.

TL;DR — the fastest answer

Tool prices re-checked 9 September 2026 against published vendor pricing and 2026 third-party platform comparisons, with sources named in each section below. Three rows were re-read against the vendors' own pricing pages on 21 October 2026, and how this comparison is compiled says which. The two SEO suite rows, Semrush and Ahrefs, were added and checked on 25 September 2026, the Athena HQ row on 7 October 2026, and the Conductor and Evertune rows on 12 October 2026; the earlier rows stand from the September 9 check. Neither Conductor nor Evertune publishes a self-serve rate card, which is why both read as quoted, and the section on platforms that do not publish a price gives the sources and the figures reported by third parties. Vendor pricing in this category changes within months, so treat every figure here as accurate on the date given and check the vendor's own page before you buy. This page is reviewed quarterly; next review due December 2026.

How was this AEO software comparison compiled?

Three sources go into this AEO software comparison, used in a fixed order of preference, and every row says which one it came from. First choice is the vendor's own published pricing page, read on a date printed beside the figure. Second, where a vendor publishes nothing a reader can check, two independent third-party comparisons that agree with each other, both named. Third, where neither exists, the row reads "quoted" or "no rate card published" and carries no number at all, because an invented figure about a named company is worse than an admitted gap.

What this page does not claim is a controlled trial. The options compared here have not been run side by side on the same prompt set for the same month, and nothing on this page is presented as a test result. That distinction is worth drawing because the language of testing is common in this category and rarely backed. Rankability's 2026 roundup, read 21 October 2026, is titled "Tested & Compared" and publishes no test queries, no scan dates, no sample sizes and no scoring weights, and its pricing note reads "verified July 2026" against an article dated 2 October 2026. A buyer cannot tell a measured ranking from an asserted one unless the page says which it is, so this one says.

Two further things a reader is entitled to know. This page is published by SIGNALS, which appears in the table above, so read our own row the way you would read any vendor's account of itself, and note that most of the roundups you will meet for this query are published by a tool that ranks itself first. And the figures decay: vendor pricing in this category moves within months, seven rows have now been re-read against the vendors' own pages across two October 2026 passes, three of them corrected a claim this page had been making, and the page is reviewed quarterly with the next review due December 2026. Where a figure matters to a purchase, open the vendor's page before you sign anything.

The 21 October 2026 pass re-read three rows against the vendors' own pages, and the results show what the order of preference buys. Otterly's full tier ladder and its add-on engines now come from Otterly rather than from a review of Otterly, which turned up two things no third-party summary carried: Claude, Gemini and Google AI Mode are charged as add-ons at every tier, and extra prompts are sold at $99 per hundred. Peec's plan contents are now the vendor's, and they contradicted a claim this page had been making, that Peec tracks six engines; its published self-serve tiers let you choose three. Scrunch's entry price is confirmed from Scrunch's own page. Profound's pricing page could not be read from this network at all, so that row stands at its September figure with its September source named, rather than being quietly restated as current.

What changed when the vendor pricing pages were re-read in October 2026?

Two rows changed materially when the 26 October 2026 pass opened the two vendor pages the 21 October pass could not reach, and both corrections went against figures this page had been publishing.

Profound's own pricing page no longer publishes a price for brands. It lists a free seven-day Trial of 50 daily prompts across three engines, and a quoted Enterprise plan whose feature table reads up to nine answer engines. The $99 Starter tier this page carried came from a third-party comparison checked on 9 September 2026 and is not on Profound's page today, so it is gone from every row, answer and recommendation here, and the engine claim has come down from "10+" to what the vendor itself states.

Athena HQ's pricing page opened too, and settled a gap this page had been admitting since 7 October. Its $295 Starter tier names 11 models, not eight, and a free Essential tier with 300 credits sits underneath it. The $545 Growth tier that two reviews reported is not on the vendor's page today and is no longer stated here as current.

Both readings went the same way, which is the argument for the order of preference rather than a coincidence. Neither third-party figure was wrong when it was written. Both were simply older than they looked, and a buyer reading a roundup has no way to tell the difference unless the page prints the date it read the source.

The criteria the comparison judges on are set out in full in what you should judge an AEO tool on, above the options rather than after them, because the criteria are the part of a comparison that transfers when the prices change.

Which AEO tools actually increase AI citation frequency, and which only measure it?

None of the products in this comparison increases your AI citation frequency on its own, because all of them are measurement products. A tracker tells you which prompts name you, which name a competitor, and how that changed since last week. Citation frequency itself moves when the pages move, so the lift comes from the editing work the report sets off, and the tool's contribution is knowing where to aim rather than aiming for you.

That distinction decides what you are actually buying. A tracker subscription is a reporting cost plus the internal capacity to act on the reports, and the second half is usually the larger one. Several vendors in this category also ship on-page recommendations alongside the tracking, which is genuinely useful, but a recommendation is still a recommendation: somebody on your side has to make the edit, get it reviewed and publish it. Where nobody has that time, the findings pile up and the numbers do not move. In our own client work that is the most common reason a tool budget gets written off after a couple of quarters.

Effect sizes are from GEO: Generative Engine Optimization, Aggarwal et al., KDD 2024 (preprint arXiv:2311.09735), which tested nine content modifications against a benchmark of roughly 10,000 queries, and from ConvertMate's GEO Benchmark Study 2026. Both checked 16 September 2026.

What raises citation frequency, and who has to do it?

Citation frequency is raised by editing the pages you already own, and the work falls to whoever writes them. The first three rows above are the ones buyers underestimate, and all three are writing tasks. The Princeton team behind the KDD 2024 paper found that adding statistics and adding quotations with cited sources were the two strongest of the nine changes it tested, at up to 41% and 28% on its two visibility measures, while fluency work returned 15% to 30%. Every one of those is an edit to a page you already own, and none of them is something a subscription performs for you.

The last two rows are where the money question usually gets decided. ConvertMate's GEO Benchmark Study 2026 reports that brands are 6.5 times more likely to be cited through third-party sources than through their own domain, which is off-site work that no tracker in this table performs either, and the same benchmark reports that 83% of AI Overview citations point to pages outside the organic top 10. That second figure is the reason a tracker is worth paying for at all: your Google rank has stopped predicting whether an engine quotes you, so the only way to know is to measure the answers themselves, engine by engine and prompt by prompt.

Read the comparison below as two separate purchases. The measurement is cheap and you should buy it. The change is writing, and it either comes from a team you already have or from somebody you hire to do it, which is the difference between the tracker rows and the service rows in the table at the top of this page. If you want the seven page-level signals that decide whether a passage gets quoted, they are set out in the SIGNALS framework.

What can AEO software measure, and what can it not predict?

AEO software can measure whether you were named and cited in an answer, on the prompts it ran, on the engines it covers, on the day it asked. What no AEO software can do is predict whether a given page of yours will get cited, because the largest study built to separate the causes finds that most of the variation sits outside the page entirely. Treat a visibility score as a reading of an outcome, not a forecast of one, and the whole category becomes easier to buy.

The study is by Mahe Chen and Nick Koudas, What Drives AI Citations? Content, Retrieval and Model Knowledge in Generative Engine Optimization (GEO), arXiv 2610.15033, submitted 10 October 2026 and read at source on 26 October 2026. It collected 158,099 answers carrying 468,037 citations across two 90-day windows in contrasting markets, compared pages within the same website rather than across websites, and replayed the same questions through the engines' own APIs to see what retrieval had returned. Which pages the engine's own search retrieved explained about 32% of the variation; properties of the pages themselves explained 2.8%. The same study found that ChatGPT wrote brands it already knew into the sub-queries it generated, favoured sites it knew, and named brands with no retrieved page behind them at all, and that changing only the brand name in a controlled test reordered its product rankings over identical facts.

What should you ask a vendor about its AI visibility score?

Three questions come out of that study, and all three are worth putting to a vendor before you sign.

A score that moves is not proof that the work caused it. If a third of the variation is which pages the engine's own index happened to return, a score can move because the engine reindexed, not because your page improved. Ask the vendor how it separates the two. The honest answer involves a fixed prompt set, repeated runs and a stated variance, which is the same ground as the sampling depth question in the next section.

Being named is partly a brand outcome, and software cannot sell you that half. A tool can tell you that a competitor is being recommended without a page in the answer, which is useful and often the most valuable thing on the dashboard. It cannot make that happen for you, and neither can a page edit. That work is third-party presence and whatever makes a model know who you are, and it does not live in any product on this page.

The one page-level lever the study keeps is the one worth buying tooling for. Within a single site, the pages cited more often are the ones whose titles and paragraphs match the questions people actually ask. FAQ blocks, structured data, summary boxes and page speed separated pages only when the comparison ran across different websites, which is the signature of a site-level confound rather than a page-level lever. So a tool that shows you the prompts you are losing and the language they are phrased in is pointed at the thing that moves. A tool that scores your page against a checklist of on-page features is scoring the part the study could not make predictive. What that work actually consists of is set out in our guide to AI citation optimization.

This cuts against our own product as much as anybody's, and it belongs on the page for that reason. SIGNALS publishes a seven-dimension page score, and the honest claim for it is diagnostic rather than predictive: it tells you which stage of the citation decision your page fails, which is actionable, and it does not tell you how many citations a fix will buy, which nobody can tell you. A vendor in this category who will claim the second thing is a vendor who has not read the research the category rests on.

How many times does an AEO tool run each prompt, and does the vendor publish it?

Almost no AEO tool publishes how many times it runs each prompt, and that number decides whether the chart you are shown is a measurement or an artefact of its own sampling. A plan sold as fifty prompts normally means fifty answers per cycle, one run of each, and one run of one prompt on one engine is a draw rather than a reading. Ask for the figure before you ask for the price.

The research on this is recent and direct about it. Don't Measure Once: Measuring Visibility in AI Search (GEO), by Julius Schulte, Malte Bleeker and Philipp Kaufmann, posted to arXiv as 2604.07585 on 8 April 2026, argues that visibility has to be read as a distribution across repeated runs rather than as a single observation, and derives its minimum run count from ten simultaneous runs across 128 engine and prompt groups, drawing 2,000 random subsamples per group at each subsample size. Secondary coverage of the paper puts the working bar at seven runs per prompt per day before a per-brand detection rate is stable enough to act on. We could not open the preprint from this network, so the seven-run figure is reported here as it appears in that coverage, checked 12 October 2026.

One vendor in this category treats sampling depth as the product. Evertune states on its own methodology page and in its published FAQ that it samples each prompt 100 times per model, to account for the probabilistic output of the models, and that its prompts are drawn from a panel it describes as more than 150 million real user conversations (Evertune, platform methodology and FAQ, checked 12 October 2026). Whether that justifies its price is a separate question, and it does not publish one. What it does establish is that depth is achievable and publishable, which makes its absence from every other vendor's marketing a question worth putting to them.

Two questions settle this with any vendor. How many times is each prompt put to each engine before the dashboard figure is calculated, and is that figure a mean, a median or one observation. Read "daily tracking" as one run a day unless the vendor says otherwise.

Which AEO citation trackers are worth paying for?

The AEO citation trackers worth paying for are the ones you will actually open. A tracker tells you whether your brand appears in AI answers, which is the measurement half of the problem, and both tools below do that at a price that does not require a business case. Neither one tells you why you are missing, so pair either with a process for acting on what it shows.

Which AEO tracking tool works best for an agency reporting on several clients?

For an agency reporting on several clients, the AEO tracking tool that works best is the one priced by client project rather than by engine, which in this comparison is Peec AI. An agency's constraint is not how many models a plan watches, it is how many separate brands it can keep apart in one account without buying a second subscription, and that is the number to read first on any plan page.

Do you already pay for AI visibility tracking without knowing it?

You may already pay for AI visibility tracking, and it is worth checking before you add a fifth subscription, because the large SEO suites have all added it to products you might already hold. Semrush sells AI visibility two ways, and the cheaper one is easy to miss. Its standalone AI visibility plan, which the page heads Base, is $99 a month billed annually and covers one domain, 25 tracked prompts and mentions from ChatGPT, Google AI, Gemini and Perplexity, with extra users at $45 a month on top, per Semrush's own AI visibility pricing page, re-read 26 October 2026. Its main plan ladder, read the same day, instead bundles daily prompt tracking into the SEO and AI Search plans, with Starter at $199 a month tracking 50 prompts daily and Pro+ at $299 a month tracking 100, so a team that needs both SEO and prompt tracking should price the bundle against the standalone before buying either. Ahrefs went a third way and bundled Brand Radar into its subscription ladder rather than selling it alone, so Brand Radar is listed from the Lite plan at $129 a month and the allowance rises with the tier, with a separate Brand Radar AI add-on offered on top from $199 a month, per Ahrefs' published plan pricing, re-read 26 October 2026. HubSpot and Conductor have both added AI search tracking inside their existing platforms as well, and neither publishes a separate figure for that component.

Read the prompt allowance before the headline price, because that is the number that decides whether the tool can answer your question. Twenty-five prompts is a reasonable panel for one product in one geography and a thin one for a category with several buying questions and a few competitors worth watching, and the bundled tiers start lower than that. A panel too small to cover your category produces a number that moves for reasons you cannot explain, which is worse than no number, and the fix is more prompts rather than more engines.

The honest case for the suite options is continuity rather than depth. The data sits beside your ranking and backlink history, one login, one invoice, one team already trained on the interface, and for a company treating AI visibility as one more line on an existing SEO report that is worth more than a better dedicated tool nobody opens. The case against is the same one that applies to every bundled feature: it is built to be adequate rather than best, and if AI citation is the channel you are betting on, a dedicated tracker from the sections above will go deeper on prompts, engines and source-level detail.

Which AEO tools can you check your AI visibility with for free?

You can check your AI visibility for free with two tools worth the ten minutes, and both come from companies that also sell a paid version. A free checker answers a narrower question than a subscription does: whether an engine names you today, rather than whether that is getting better or worse. Run one before you buy anything, because a baseline reading is often enough to tell you whether you have a measurement problem or an absence problem.

• HubSpot AI Search Grader. A one-time brand check that needs no account, scoring sentiment, presence quality, brand recognition, share of voice and market position out of 100 across ChatGPT, Gemini and Perplexity (HubSpot, AI Search Grader, checked 7 October 2026). HubSpot also sells continuous AEO tracking inside its marketing platform. We found no figure for that component we could confirm from two independent sources, so none is quoted here.
• Semrush AI Search Visibility Checker. Free, no sign-up, three runs a day, covering ChatGPT, Gemini and Google AI Overviews (Semrush free tools, checked 7 October 2026). It is a separate product from the paid AI Visibility Toolkit in the section above, and the free version does not keep a history for you.

The cheapest method of all is still manual, and for one product in one geography it is competitive with a cheap subscription. Ask each engine the questions your buyers ask, in their words, and write down who gets named and which pages are cited. That gives you the source list a tracker charges for, at the cost of an afternoon, and our guide to how many prompts you need to track sets out how large that panel has to be before the result stops being anecdote. What no free checker does, and no paid one either, is tell you which part of your page lost the citation. If the engines cannot read the page at all, the free diagnostic that matters is checking whether AI can read your website, because no amount of tracking fixes a page a crawler never reached.

Which AEO platforms bill by credits, and how do you budget for one?

Athena HQ bills by credits rather than by prompts, and budgeting for it means converting your panel into AI responses before you compare the price with anything else on this page. One credit is one AI response, so the arithmetic is prompts multiplied by engines multiplied by runs per month. A modest-looking panel of ten prompts across five engines, sampled daily, works out at 1,500 responses a month per the credit definition set out below, which is well past the entry allowance. Credit metering is not a trick, and it is arguably the honest unit, because it prices what the vendor actually spends. It does mean the headline figure tells you less than it does on a prompt-based plan.

Which enterprise AEO platforms cover the most engines?

Enterprise AEO platforms cover the most engines and charge accordingly, and the two below are the names that come up in almost every 2026 buyer shortlist. Profound is the broadest monitoring platform in the category; Scrunch AI adds site audits that flag some of the structural reasons an engine skips you. Both measure and diagnose. Neither writes the fix or applies it.

Which AEO platforms do not publish a price, and what do they cost in practice?

Four names a buyer meets on other 2026 shortlists do not publish a rate card at all, and leaving them out would make this page shorter rather than more useful. What follows is what can be verified about each, with the figure's source and date, and nothing where the sources did not agree.

Profound joined this group during October 2026 rather than belonging to it all along, which is worth saying because most roundups still quote it at a price. Its pricing page carries a free trial and a quoted Enterprise plan and no self-serve figure, read 26 October 2026, so the honest entry for Profound is a conversation rather than a number.

Conductor is the enterprise organic search platform that folded AI visibility into a product companies already licensed, which is a different purchase from any dedicated tracker above: you are extending a contract rather than starting one. Its own AEO and GEO tools guide lists plans from $1,500 a month, with a footnote that entry-level plans may not carry the full AI tracking features. Independent trackers do not corroborate that figure as a real entry point: a tool directory checked in September 2026 lists Conductor's three tiers with no dollar figures and states that none are published, and a competing vendor's comparison page cites contract data from the procurement platform Vendr running from $26,800 to over $500,000 a year with a median near $49,000, while Trakkr's comparison describes third-party estimates of roughly $30,000 to $150,000 a year. All three checked 12 October 2026. Read the $1,500 as an advertised floor and budget for an annual enterprise contract. The reported deal figures come from vendors who compete with Conductor, which is a reason to treat them as indicative rather than as a price list.

Evertune is the one platform whose published methodology answers the sampling question in the section above, at 100 samples per prompt per model. It has no self-serve tier, and third-party reviews of its pricing disagree with each other: one puts a Pro tier at $800 a month, another describes it as starting from $3,000 a month, and a tool directory checked in July 2026 records it as quote-based with no public tiers. We are not picking one of those, so this page records Evertune as having no published rate card and names the disagreement instead.

Brandlight is positioned for brand reputation and governance in AI answers rather than for tracking alone, and publishes no rates. SE Visible, the AI visibility product from SE Ranking, appears on several 2026 shortlists in this category. We have not been able to verify figures for either from two independent sources, so neither carries a number here. A name without a price is still worth knowing when you are assembling a vendor list, and a price we cannot stand behind would be worse than the gap.

Should you hire an AEO service instead of buying a tool?

Hire an AEO service instead of buying a tool when nobody on your team is going to act on a dashboard. Every tool above measures; none of them rewrites a page, earns a mention on a source an engine trusts, or decides what to publish next. If those tasks have no owner internally, a tracker subscription buys you a clearer view of a problem you will not fix. What a done-for-you engagement covers stage by stage, and who it is wrong for, is set out on our page about AI citation optimization services.

Where does SIGNALS fit in this comparison?

SIGNALS fits in the service category above rather than among the tools, and the honest version of that is worth stating plainly on a page we publish ourselves. Every product compared here is software you operate. We are the option where the diagnosis is scored for you and the page work is then carried out for you, which is a different purchase at a different price, and the wrong one for a team that just wants a dashboard.

How to choose the right option

The right tool depends entirely on what problem you're trying to solve:

If you want to monitor citation trends over time — Otterly AI at $29/month, per its published pricing, is the most accessible entry point. Add Peec if you need multi-brand agency reporting across 6 engines.

If you're an enterprise with a dedicated AEO program and need the broadest engine coverage: Profound is the most comprehensive platform, and you will not find its price before you talk to it. Its own pricing page lists a free seven-day trial and a quoted Enterprise plan covering up to nine answer engines, read 26 October 2026. Scrunch AI is the better fit if your priority is technical site audits alongside tracking.

If you have budget for a fully managed program and don't want to touch it internally — an AEO agency makes sense, but be careful to pick one with genuine AEO expertise rather than rebranded SEO services.

If you'd rather have the diagnosis and optimization work done for you than operate a tool yourself — that's a done-for-you service rather than software. SIGNALS works this way, scoring pages against a model published in full on our methodology page. The simplest way to see where you stand is to request a free visibility assessment.

Frequently asked questions about AEO tools

Frequently asked questions about sampling depth and quoted pricing

Frequently asked questions about tools versus services