Best Tools for Measuring Visibility in AI Search in 2026: 8 Tools Compared

Otterly is the simplest way to start measuring AI search visibility. The Lite plan at $29 per month tracks a small prompt set across core engines, including Google AI surfaces that many brands care about first. Share of voice views show how often your brand appears next to competitors, which is enough to spot a gap or a win.

The limits are prompt volume and engine breadth. Lite covers a small set, and adding engines raises the price, so a brand with many products or markets will outgrow it. For a first measurement program, Otterly gives a credible baseline without a large commitment, and that baseline is what makes later tool comparisons meaningful.

Peec AI measures visibility with a competitor lens, which is useful because AI search is a zero-sum answer. If a rival is cited and you are not, that gap is the story, and Peec shows it across prompts, models, and markets. Source analysis reveals which pages and publishers the engines cite, which helps a content team fix the right pages first.

Entry pricing at $95 per month covers a limited prompt set and a subset of models, with broader coverage on higher plans. That is a fair starting point for a mid-market team, but buyers who need every engine should price the higher tier first. For share of voice reporting that a manager can understand at a glance, Peec is a strong pick.

Profound measures AI visibility at enterprise scale, tracking up to nine engines on higher plans and pairing mention data with prompt volume and crawler signals. That combination helps a large brand see not just whether it appears, but how often people ask the underlying questions and whether AI crawlers can read the relevant pages. Integrations with hosting and analytics tools add context that smaller tools lack.

The price is the barrier. Enterprise plans are custom, and entry plans do not include the full engine list, so a small team will pay for depth it cannot use. Large brands with many products, markets, and competitors will find Profound the most complete measurement system on this list.

Scrunch measures visibility through citations and crawler behavior, which suits teams that want to know why an engine cites one page and not another. It tracks seven or more engines, maps citation patterns, and shows how AI crawlers interact with a site. That technical depth helps SEOs and developers fix crawl blocks, thin pages, and missing structure.

Entry pricing around $250 per month billed annually puts Scrunch above budget tools, and its reports reward a team that will dig into the data. A solo marketer who only needs a monthly mention count will find it heavy. For a technical team building an AI search program, Scrunch offers measurement that connects directly to site fixes.

AthenaHQ measures visibility across a broad engine list on a credit model, where each answer costs one credit. The free Essential plan lets a team test measurement on a small scale, while the Starter plan at $295 per month adds thousands of credits and more engines, including Claude. That breadth without an enterprise sales process is a real advantage for larger teams.

Credit math is the catch. Prompts, engines, and frequency all consume credits, so a team must model its real workload before signing. A team that tracks a few dozen prompts weekly will fit comfortably, while a team tracking hundreds daily may need a larger plan. For broad, self-serve measurement, AthenaHQ is a solid choice.

Semrush adds AI visibility tracking to a suite many SEO teams already use, which avoids a separate tool and a separate login. The AI Visibility Toolkit starts at $99 per month per domain, with a defined prompt allowance, and sits next to keyword, backlink, and site audit data. That context helps a team see AI visibility as part of search performance, not as an isolated metric.

The limit is that the toolkit is an add-on, so the total cost includes the base Semrush plan, and entry prompt counts are modest. Teams that do not already use Semrush may find a dedicated tool cheaper. For existing Semrush users, the toolkit is the most convenient way to add AI measurement.

Ahrefs Brand Radar brings AI visibility data into the Ahrefs world, tracking citations across AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini, and Copilot against a large prompt index. For a team that already trusts Ahrefs for backlinks and keywords, Brand Radar adds the AI layer without a new vendor relationship. Pricing starts at $199 per month per platform index in current listings.

The catch is cost and packaging. Brand Radar is sold separately, so the total bill includes the core Ahrefs plan, and the entry price rules it out for small teams. For an established SEO team that wants AI data next to backlink data, Brand Radar is a natural fit.

ZipTie suits teams that want flexible prompt volume without enterprise pricing. Paid plans start from $42.75 per month in current listings, with configurable prompt slots and seven engines on paid plans. That flexibility helps a team that tracks a focused set of high-value questions rather than a huge prompt library.

The trade-off is maturity and depth. ZipTie is less widely covered than Profound, Peec, or Semrush, and some advanced features sit on higher plans. A trial on your own brand and competitors will show quickly whether its data quality fits your needs. For flexible, budget-conscious measurement, ZipTie is worth testing.