AI visibility & AEO tools FAQ: setup, pricing, and data sources
Straight answers to the questions buyers ask before choosing an AI visibility or AEO tool: what they measure, how their methodologies differ, what they cost in 2026, how they get their data, and how monitoring differs from a system built to move the number. Every figure sourced.
AI visibility tools — also called AEO tools or answer engine optimization tools — measure and improve whether AI assistants like ChatGPT, Perplexity, Claude, Gemini, and Grok name and cite a brand when they answer a buyer's question. The category is new and moving fast: Profound raised a $96M Series C at a $1B valuation in February 2026, and priced tools now span from $59/month (AIClicks, accessed August 2026) to $800/month (Evertune Pro, accessed August 2026), plus enterprise plans that don't publish a number at all. This FAQ answers the questions buyers actually ask before choosing one: what these tools measure, how their methodologies differ, what they cost, how they get their data, and how "monitoring" tools differ from a system built to move the number. Every figure below carries a dated source so the answers are verifiable rather than asserted.
What is an AI visibility tool?
An AI visibility tool measures how AI assistants represent a brand and, in most cases, tracks that representation over time. The core job is to run a set of buyer questions through models like ChatGPT, Perplexity, Gemini, Claude, and Grok, then record whether the brand is cited as a source (its URL appears in the answer's references) and whether it is named in the answer (the assistant recommends it in prose). Those two axes come apart — a brand can be read by the model yet never recommended, which is the difference between the 10-Point AI Citation Framework's cited and named dimensions.
The category goes by several names — AI visibility, answer engine optimization (AEO), and generative engine optimization (GEO). The distinctions between those terms are covered in AEO vs SEO vs GEO.
How do AI visibility tools actually get their data?
Most AI visibility tools submit a defined set of prompts to each AI assistant on a schedule and parse the responses for brand mentions and cited sources. The methodologies differ on three variables: how many models they cover, how many times they sample each prompt, and whether they query official APIs or the consumer interface.
Sampling depth is the variable buyers most often overlook. Evertune samples each prompt 100 times across every model (accessed August 2026) to smooth out the run-to-run variance inherent in generative models. Data for AI Search runs a multi-sample scan (K3 by default) for the same reason — a citation that appears in one sample but not the next three is noise, not a confirmed result. A tool that samples a prompt once reports a coin flip as a measurement.
The signals underneath these tools are observational. The most-cited public dataset is the SERanking November 2025 study of 300,000 domains, which is also the basis for the 40-Point AEO Content Geometry Standard.
What do AI visibility tools cost in 2026?
Priced AI visibility tools in 2026 range from roughly $59/month to $800/month for published self-serve tiers, with enterprise plans quoted by sales. The table below shows current published pricing, each figure sourced to the vendor's own pricing page as of August 2026.
| Tool | Entry price (published) | Top self-serve tier | Enterprise |
|---|---|---|---|
| AIClicks | $59/mo (Starter) | $499/mo (Business) | Custom |
| Profound | $99/mo (Starter, billed yearly) | $399/mo (Growth) | Custom |
| Evertune | $800/mo (Pro) | $800/mo (Pro) | Custom |
| Data for AI Search | Free 10-point audit | See pricing | — |
Enterprise pricing at Profound and Evertune is not published; third-party reviews estimate Profound enterprise deals in the low-thousands per month, but that figure is not stated by the vendor and should be treated as an estimate.
Which AI assistants do these tools track?
Most AI visibility tools track the same core set — ChatGPT, Perplexity, Google Gemini, Claude, and Microsoft Copilot — and coverage of Google AI Overviews and Grok varies by tool. Profound's homepage lists eight surfaces including Grok and DeepSeek (accessed August 2026), and AIClicks lists ten including Grok (accessed August 2026), though AIClicks gates the number of models by tier (three on Starter, up to all on Enterprise). Evertune tracks eleven models but does not list Grok among them (accessed August 2026). Data for AI Search covers ChatGPT, Perplexity, Claude, Gemini, and Grok. Buyers whose audience skews toward one assistant should confirm that specific model is covered on the tier they intend to buy, not just the marketing page.
What is the difference between a tracker and a system that improves visibility?
A tracker measures the number; a system does the work to change it. This is the single most consequential distinction in the category, and it explains most of the price spread. A monitoring-only tool runs prompts, charts mentions, and emails an alert when the number drops — genuinely useful, and cheap to operate, because a prompt check is one low-cost model call. What it does not do is find why a competitor wins the answer or produce the off-site authority, entity, and content work that moves the result. That distinction is unpacked in full in AI visibility trackers vs. a system that gets you cited. Some tools sit on both sides: Evertune and Profound add content and optimization modules on top of monitoring, while lightweight prompt checkers stop at the dashboard.
Do I need schema markup or an llms.txt file to get cited?
Schema markup helps; llms.txt does not. Structured data — Organization, Article, and FAQPage schema — gives assistants machine-readable trust signals, and its role is detailed in schema markup for AI search. The llms.txt proposal, by contrast, has no measured effect: the SERanking November 2025 study found zero correlation with AI citation, and Google confirmed it does not read the file, which is why Data for AI Search removed it as a scored signal. Spending effort on llms.txt in place of schema, entity consistency, and extractable content is effort misallocated.
How long does it take to see results from AEO work?
Measurable movement typically takes weeks, not days, because the inputs that change AI citation — third-party mentions, directory and entity signals, and extractable content — take time to be recrawled and re-synthesized. A monitoring tool shows the number moving in real time once the underlying work lands; it does not accelerate the work itself. Because AI assistants are third-party systems that change their models without notice, no honest tool guarantees a specific outcome by a specific date. What a real system commits to is working on the inputs that move citation and re-measuring the same queries the same way to prove the lift is real.
Frequently asked questions
What is an AI visibility tool? An AI visibility tool measures how AI assistants (ChatGPT, Perplexity, Claude, Gemini, Grok) represent a brand — whether it is cited as a source and named in answers — and usually tracks that over time. The category is also called AEO (answer engine optimization) or GEO (generative engine optimization).
How much do AI visibility tools cost? Published self-serve pricing in 2026 ranges from about $59/month (AIClicks Starter) to $800/month (Evertune Pro), with Profound's self-serve tiers at $99 and $399/month. Enterprise plans at Profound and Evertune are custom-quoted and not published. Data for AI Search offers a free 10-point audit before any paid tier.
Which AI assistants do these tools track? Most cover ChatGPT, Perplexity, Gemini, Claude, and Copilot. Grok and Google AI Overviews coverage varies — Profound and AIClicks list Grok; Evertune does not. Model coverage is often gated by pricing tier, so confirm the specific assistant is included on the plan you intend to buy.
What is the difference between an AI visibility tracker and a system that gets you cited? A tracker measures whether AI mentions you and alerts on changes; a system also finds why a competitor wins the answer and does the off-site authority, entity, and content work to change it, then re-measures to prove the lift. Trackers are cheaper because a prompt check is one low-cost model call; the work that moves the number is the expensive part.
Do I need an llms.txt file to get cited by AI? No. The SERanking November 2025 study of 300,000 domains found zero correlation between llms.txt and AI citation, and Google confirmed it does not read the file. Schema markup (Organization, Article, FAQPage) does help and is worth the effort; llms.txt is not.
How long does AEO take to show results? Weeks, not days. The inputs that move AI citation — third-party mentions, entity and directory signals, extractable content — take time to be recrawled and re-synthesized. Monitoring shows the movement once the work lands but does not speed up the work, and no honest tool guarantees a specific outcome on a fixed date because the assistants are third-party systems that change without notice.
Related: AI visibility trackers vs. a system that gets you cited · The 10-Point AI Citation Framework · Best AI Visibility tools in 2026 · AEO vs SEO vs GEO.