Best AI Visibility Software in 2026: LLM Visibility Tools Compared

How this list was made

A dated selection method, not a popularity contest.

This is a dated editorial comparison checked on August 6, 2026 against public first-party product and pricing pages. “Best” means best fit for a clearly described operating job—not the largest logo list or the highest score. WatchLLMs is ranked first because its public workflow connects buyer-prompt monitoring to citation gaps, a practical fix, and a verification run; it is also the publisher of this guide, so read the disclosure and source links before deciding.

1. 01Monitored engines: count the answer engines a public plan actually names, and label add-ons or plan-dependent coverage instead of treating every logo as included.
2. 02Prompt and usage capacity: compare prompts, responses, credits, brands, projects, and other units that determine how much a team can monitor.
3. 03Cadence and freshness: separate weekly, daily, flexible, and plan-dependent collection schedules.
4. 04Citations and source intelligence: check whether the product exposes cited URLs, source gaps, competitor sources, or page-level blockers.
5. 05Action workflow: distinguish a reporting dashboard from recommendations, a specific fix, an execution surface, or a verification loop.
6. 06Reporting, price, and fit: compare exports, dashboards, integrations, public prices, custom terms, and the team required to use the output.

Product-by-product comparison

AI visibility software comparison: one dated view

This comparison-table snapshot is for buyers evaluating AI search visibility tools, AI search monitoring tools, and AI visibility tools. It separates what each platform monitors from how it exposes citations, turns a gap into action, reports progress, and charges for the workload. Product and pricing links open the first-party pages checked on August 6, 2026.

Snapshot checked on August 6, 2026. Verify current limits on each vendor page.

Market map

AI visibility platforms split into three operating models.

Public starting prices

The price floor is wide and the units are different.

• Rankscale Pro$99
• Otterly.AI Lite$29
• watchLLMs Starter$59
• Profound Starter$99 annual
• Semrush One Starter$165.17 annual
• Scrunch Core$250
• AthenaHQ Starter$295
• Goodie Explorer$399

Public starting prices checked August 6, 2026 are not directly comparable: WatchLLMs and Otterly.AI use prompts and credits, Peec AI uses prompts and models, Profound uses engines, prompts, responses, and Agent credits, Scrunch uses prompts and audits, Rankscale uses credits, and Goodie uses prompts, responses, and actions. The chart excludes Peec AI because its public price is useful only when paired with its plan and model limits; it also excludes custom enterprise terms.

The shortlist

The best AI visibility software, ranked by fit.

WatchLLMs is listed first because its public product is built around an action loop: identify a buyer prompt, understand the source gap, make a specific change, and verify the next answer. The remaining tools are ordered by the distinct job they handle well—not by a generic feature score. Read each card with the table and source links.

The honest exception

WatchLLMs disclosure

WatchLLMs is the publisher of this comparison and is included in the list. It appears first because its documented product workflow is unusually direct for one common buying job: find a buyer prompt where a competitor wins, inspect the citation gap, make a fix, and verify the answer. That ordering is an editorial fit judgment, not an independent market certification, and every buyer should check the linked first-party pages against a representative prompt set.

• The guide uses public product and pricing pages checked on August 6, 2026; product limits, model coverage, and prices can change.
• WatchLLMs is not presented as the best choice for every team: daily reporting, broad model coverage, site or agent experience, enterprise scope, closed-loop attribution, and SEO-suite consolidation may point elsewhere.
• No vendor is scored by a generic feature count. The table separates engines, prompts, cadence, citations, action workflow, reporting, price, and best-fit team.
• Custom, add-on, or plan-dependent claims are labeled so a buyer knows which questions to confirm during evaluation.

Evaluation checklist

How to choose AI visibility platforms fairly.

1. 01

   Bring real prompts

   Use ten questions your buyers ask before they know your brand, not a vendor-generated demo set.

2. 02

   Inspect the answer

   Ask to see the original response, competitor mentions, sources, sentiment, and what changed between runs.

3. 03

   Model your units

   Count prompts, engines, and cadence, then add regions, brands, seats, API, add-ons, and history.

4. 04

   Name the owner

   Decide who owns content, technical, PR, commerce, and verification work before buying more platform.

5. 05

   Run a proof loop

   Make one fix and re-check the same prompt set. If your team cannot close that loop, buy less platform.

6. 06

   Re-check current pricing

   Use the first-party links in this guide before signing a contract because this market moves quickly.

FAQ

Frequently asked questions about AI visibility software.

Evidence trail

First-party sources checked

Pricing and product snapshot checked August 6, 2026 against public first-party pages. Monthly prices are shown where the vendor publishes them; annual prices are labeled. Prices exclude tax, add-ons, usage overages, and negotiated terms. “Custom” means custom—the guide does not turn contact-sales language into a guessed number.

• watchLLMs homepage
• watchLLMs pricing
• Otterly.AI pricing
• Otterly.AI features
• Peec AI pricing
• Peec AI product docs
• Profound pricing
• Profound platform features
• Scrunch pricing
• Scrunch homepage
• AthenaHQ pricing
• AthenaHQ product page
• Rankscale pricing
• Goodie pricing
• Semrush One pricing