Lourdes Paul Agilan · 2026-08-26

AI Visibility Tool or GEO Agency: Which One Do You Actually Need?

Note on verification: every price in this post was read directly from the vendor's own pricing page on 26 August 2026 and is dated as such, because prices in this category change fast. Where a vendor does not publish pricing, we say so rather than estimating. One vendor's prices (Peec AI) render client-side and could not be captured; that is flagged in the table rather than guessed. We deliberately sourced nothing from the "top 10 AI visibility tools" pages that dominate this query, for reasons the post explains.

Start with the distinction that matters: An AI visibility tool measures whether ChatGPT, Gemini, Perplexity and Google's AI surfaces mention your brand, by sending a list of prompts to those engines on a schedule and counting what comes back. That is a measurement product. It does not change why you are or aren't mentioned. Buying one without a plan for acting on what it shows is the single most common mistake at this stage of the market.

That isn't an argument against buying one. It's an argument for knowing which problem you're solving before you put a card down.

What an AI visibility tool actually measures

Strip away the marketing and the category does four things.

Mention or visibility rate. How often your brand appears across the prompts being tracked. Definitions vary more than you'd expect. Profound's help documentation defines its Visibility Score as the number of responses containing your brand divided by "the total number of responses that include at least one brand", which excludes brandless answers from the denominator and therefore reads higher than a naive percentage would (Profound help docs). Its own API documentation describes the same metric as "share of answers", which is a different calculation. Semrush's AI Visibility Score is different again: it is explicitly relative, reflecting mentions "compared to the median number of mentions for your top industry competitors" (Semrush Knowledge Base). A Semrush score and a Profound score are not the same unit.

Share of voice, or share of answer. Your mentions as a proportion of all brand mentions. Otterly publishes the cleanest formula we found: brand mentions divided by total brand mentions, with each prompt-engine execution counting as a maximum of one mention (Otterly help docs).

Citation tracking. Which URLs the engines link to. Worth separating from mentions: Kevin Indig's distinction is that a citation is a link and a mention is your brand named without one, and that mentions matter more to business outcomes (Growth Memo, Jul 27, 2026). Most tools blend both into one visibility number.

Sentiment. How the engine describes you. Otterly again publishes its formula (positive minus negative over total, scored −100 to +100). Profound and Semrush describe the concept without publishing the maths.

There's a fifth thing several vendors sell, and it deserves its own warning: prompt volume, an estimate of how many real people ask a given question. Profound is the most transparent about how this is built, and its own disclosure is the tell: figures come from licensed panels of real conversations, then "statistical modeling that corrects for demographic and geographic biases", with "volumes scaled to reflect the full population" (Profound). Those are extrapolations, not counts. Search Engine Land put the state of the art plainly: "No one really knows the real search volume of prompts" (Search Engine Land, Jan 8, 2026). One independent critique calls the category's prompt-volume figures "pseudo-accuracy" and notes practitioners comparing them against keyword data have found them to differ drastically (Jäckert & O'Daniel, Jan 2026).

What a tool can't do for you

This is the section most vendor content won't write, so here it is.

It can't get you into AI answers. Search Engine Land's list of hard truths about GEO measurement says it in one line: "No AI visibility tool can actually get you into AI answers. There's no tool that can do GEO for you" (Jan 8, 2026). Dashboards are instruments. Instruments don't steer.

It can't tell you why the number moved. Two independent studies establish how noisy the underlying signal is. Researchers at the University of St. Gallen tracked daily AI answers for six weeks across four engines and found only about 35% of cited sources overlapping between consecutive days, roughly 65% turnover, with similar churn when identical prompts were run simultaneously on the same day, ruling out news cycles as the explanation (Schulte et al., Apr 10, 2026). SparkToro and Gumshoe.ai, running 12 prompts 2,961 times across ChatGPT, Claude and Google's AI, found a less than 1 in 100 chance of two identical brand lists from the same question (SparkToro, Jan 28, 2026).

So when your visibility drops from 42% to 31%, you cannot tell from the dashboard alone whether that was your content, a competitor's PR, a model update, or noise. And here is the omission we'd call the most damning in the whole category: no vendor we surveyed publishes confidence intervals on its score.

It probably isn't running enough samples, and won't tell you. The two studies above disagree sharply on how much sampling is enough. St. Gallen prescribes at least seven runs per prompt per day for brand tracking; SparkToro says 60 to 100 runs per prompt before a visibility percentage means anything. That is an order-of-magnitude disagreement between two credible sources, and we won't pretend to resolve it. What matters commercially is that entry tiers are sold in units of prompts, not prompt runs, and only one vendor we found (Evertune) publishes its sampling rate at all, at 100 runs per prompt per model (Evertune). Ask every vendor how many times a day each prompt actually executes. Most will not have a public answer.

It's measuring a simulation of your buyer. With one partial exception, every tool in this category sends the queries itself. Profound's marketing describes capturing "real user-facing data", which is true in two specific and defensible senses: the prompts it tracks are derived from licensed panels of real conversations rather than invented by a marketer, and responses are captured through the consumer browser interface rather than the API. But its own help documentation is unambiguous about the mechanism: "Profound queries these answer engines and uses the responses to populate a dataset" (Profound help docs). No tool observes what real users actually saw. Real ChatGPT users have memory, conversation history and custom instructions; a monitoring bot has none of those.

A blended cross-engine score is an average over near-disjoint populations. Indig found that 91% of citations appear in only one of ChatGPT, Perplexity, or AI Overviews (Growth Memo, Jul 27, 2026). Aleyda Solis' guidance follows directly: don't blend platforms, don't blend Google's AI Overviews with AI Mode, and remember that "a single run is an anecdote; a sample is a signal" (Aleyda Solis, Apr 23, 2026).

Default prompt sets won't reflect your business. Solis again, and this is the most actionable warning in the category: visibility tools "can be very useful for collection, monitoring and reporting, but their default prompt sets won't automatically reflect your products, audiences, markets, competitors, constraints or business priorities." Her recommendation is to start with 30 to 50 commercially relevant prompts organised by product line, audience, market and journey stage (Aleyda Solis, Jun 8, 2026).

One credit to the vendors who say this themselves: Otterly's methodology page states that "every OtterlyAI finding is an observed association, not a guaranteed mechanism" because "AI Search Platforms do not publish their ranking or citation logic" (Otterly, Jun 1, 2026). That is the most honest methodology statement we found from any vendor in this market.

The category, priced

All figures below were read from each vendor's own pricing page on 26 August 2026. Entry tier is the cheapest paid plan. Prices in this category change frequently; re-check before you buy.

| Tool | Entry tier | Prompts at entry | Engines covered | Self-serve? | |---|---|---|---|---| | Otterly.AI | $29/mo (Lite) | 15 | ChatGPT, Google AI Overviews, Perplexity, Copilot at base; Claude, Gemini, AI Mode are paid add-ons | Yes, free trial | | Profound | $99/mo billed yearly (Starter) | 50 | ChatGPT only at Starter; 3 engines at Growth ($399/mo); up to 9 at Enterprise | Yes to Growth; Enterprise is a sales call | | Semrush AI Visibility Toolkit | $99/mo per domain billed annually | 25 | ChatGPT, Google AI, Gemini, Perplexity | Yes, 7-day trial | | Ahrefs Brand Radar | $199/mo (select platforms); $699/mo all platforms | Not prompt-capped; index of 470M+ prompts | AI Overviews, AI Mode, ChatGPT, Copilot, Gemini, Perplexity | Yes; free AI Visibility Checker | | Scrunch AI | $250/mo billed annually ($300 monthly) | 350 custom + 1,000 industry | ChatGPT, Claude, Gemini, Perplexity, AI Mode, AI Overviews, Meta | Yes, 7-day trial | | AthenaHQ | Free tier (300 credits); $295/mo (Starter) | Credit-based, 3,600 credits | 10 models incl. ChatGPT, Perplexity, AI Overviews, Gemini, Claude, Copilot, Grok, DeepSeek, Meta AI | Yes; Enterprise is a sales call | | Peec AI | Could not verify. Pricing renders client-side and returned no figures on two fetches | Starter 50 / Pro 150 / Advanced 350 | Up to 11 models at Enterprise | Yes, free trial; Enterprise is a sales call | | Evertune | Not published. Demo required | Not published | 9+ incl. ChatGPT, Claude, Perplexity, Gemini, AI Mode, AI Overviews, Copilot, DeepSeek, Meta AI | No | | BrandRank.ai | Not published. Demo required | Not published | ChatGPT, Gemini, Perplexity, Copilot, Claude, Grok, Meta.ai | No | | HubSpot AI Search Grader | Free, one-time check | n/a | GPT-5.4 mini, Perplexity, Gemini | Yes, no account required |

Three things that table hides unless you look for them. First, cheap tiers are usually single-engine: Profound's $99 plan tracks ChatGPT and nothing else. Second, prompt counts aren't comparable across vendors that price by credits (AthenaHQ) versus prompts (most others) versus not at all (Ahrefs). Third, none of these prices tell you the sampling rate, which per the section above is the number that actually determines whether the output is signal or noise.

We should also say plainly what happened when we researched this. Searching for pricing and reviews in this category returns a results page composed almost entirely of AI-generated comparison pages published by other GEO vendors, recycling each other's numbers. None of the pricing above came from any of them. There's an irony worth sitting with: the category that sells you help beating low-quality AI content has produced a search results page made almost entirely of it.

When a tool is enough, and when it isn't

A tool alone is probably enough if: you're in a narrow, well-defined category; you have someone in-house who can act on findings; you need directional awareness rather than diagnosis; and your budget for this is under a few hundred dollars a month. The narrow-category point is evidence-based rather than intuitive: SparkToro found visibility percentages were reasonably stable in tight markets (one cancer hospital appeared in 69 of 71 ChatGPT responses; top headphone brands appeared 55 to 77% of the time) and collapsed into noise in broad ones like "design agencies".

You need a program on top if: your category is broad enough that the measurement itself is unstable; you need to know why the number moved rather than just that it did; the work indicated is off-site (the highest-correlating factor in Ahrefs' 75,000-brand study was branded web mentions at 0.664, versus a weak correlation for backlinks, and no dashboard does PR); or nobody internally owns acting on it. Semrush's survey of 481 marketers found 45% could not measure their visibility in AI answers at all and 40% were using manual ChatGPT checks as their primary tracking method (Semrush, Jun 3, 2026). A tool fixes that. It does not fix the 49% who said they couldn't connect any of it to pipeline.

Two structural notes for anyone sizing this decision. Uncomfortable one first: standalone measurement may not be a durable category. The market leader, Profound, raised $96M at a $1B valuation in February 2026 and used the announcement to reposition around "AI Marketing" agents rather than pure visibility tracking (Profound, Feb 24, 2026); Adobe completed its $1.9B acquisition of Semrush in April 2026 (Adobe, Apr 28, 2026). Second, keep the channel in proportion: Conductor's benchmark across 13,770 enterprise domains and 3.3 billion sessions found AI referral traffic at 1.08% of all website traffic, of which 87.4% came from ChatGPT alone (Conductor, Nov 13, 2025). If almost nine in ten AI referrals come from one engine, paying extra for nine-engine coverage is a strange first purchase.

We work through the wider evaluation question, including how to test any vendor's methodology on a sales call, in How to Choose a GEO Agency for B2B SaaS. The platform-versus-service-model distinction is covered in GEO Agency vs. AI Visibility Program.

Where GeoCited sits

We're a program, not a tool, and not a general-purpose agency, so we're a third option rather than a neutral referee. Here is what's comparable.

We track a defined metric, Share of Answer, against a disclosed prompt set that we build with the client rather than inheriting from a vendor default, which is the specific failure mode Aleyda Solis' guidance above warns about. We publish our methodology under what we call a Glass Box standard: the prompt list, the run counts, the raw output. The entry point is a Citation Gap Report at $1,500, a one-off diagnostic that tells you where you stand and what's causing it, deliberately structured so you can act on it with someone else, or nobody. The ongoing program runs at $4,000/month.

We're publishing those numbers because the section above criticises vendors who don't, and it would be incoherent to do the same. Compare them against the table. If your problem is genuinely "I want to see the number weekly", a $29 to $99 tool is the better purchase, and we'd rather tell you that than sell against it.

FAQ

Do I need an AI visibility tool or an agency? Different problems. A tool answers "am I mentioned, and how often." An agency or program answers "why, and what would change it." If you already know the answer to the second question and just need the number tracked, buy the tool. If the number is going to sit in a dashboard nobody acts on, the tool is a subscription, not a strategy. Most teams that end up doing this well use both, with the tool as the measurement layer underneath the work.

What's the cheapest AI visibility tool? Of the paid tools we verified on 26 August 2026, Otterly.AI at $29/month for 15 tracked prompts is the cheapest credible entry point. AthenaHQ offers a free tier with 300 credits, and HubSpot's AI Search Grader is free but is explicitly a one-time check based on training data rather than continuous monitoring. The caveat from earlier applies hardest at this price point: 15 prompts run once a day is a very small sample against a signal that turns over roughly 65% of its sources overnight.

Which tool tracks the most LLMs? On published engine counts as of 26 August 2026, Peec AI's Enterprise tier (up to 11 models) and AthenaHQ (10 models) list the most, with Profound's Enterprise tier at up to nine and Rankscale advertising 10+. But engine count is close to a vanity spec. Given that 87.4% of AI referral traffic comes from ChatGPT and 91% of citations appear on only one engine, breadth of coverage buys you fragments of near-disjoint data rather than a fuller picture. Depth of sampling on the engines your buyers actually use is the more useful thing to pay for, and almost nobody sells it that way.