Best AI Visibility Checking Software in 2026: 9 Apps Compared

Otterly.AI works well as a checking routine because it keeps the job simple. You set a prompt list, it runs those prompts across ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot, and you can read the full answer text rather than just a score. That full text matters when you need to check why a brand was missed, because the reason is often in the wording of the answer or in the sources it cites. The entry plan suits a small brand with a focused list. If you check many prompts or need Gemini and Claude included, add-ons raise the cost, so confirm engine coverage before you build a long prompt list. For a weekly or daily check that a small team will actually read, Otterly.AI is a practical starting point.

Peec AI is built for teams that want to check the same prompts every day and watch trends. Prompt-level history shows whether a brand appears consistently or only on some runs, which is important because AI answers change often. Competitor checks on the same prompts help you see whether a drop in your visibility is a general answer change or a competitor gaining ground. Before you buy, check that your key engines are included on the plan you choose, because self-serve plans limit model choice and enterprise plans cover more engines. For a marketing team that reports visibility weekly, Peec AI gives a clear, repeatable checking routine without enterprise complexity.

Profound suits larger brands that need checking as part of a formal reporting routine. It runs prompts on a schedule, tracks citations and competitor presence, and supports reporting that can be shared with leadership or across regions. That structure helps when checking must be consistent, auditable and comparable month to month. Smaller teams may find the buying process heavy, because Profound does not offer a simple published monthly plan in every listing. If you need enterprise controls, multi-region checking or a dedicated reporting workflow, Profound is worth the sales conversation. If you only need a quick weekly check, start with Otterly.AI or Peec AI.

Semrush is a good checking choice for SEO teams that already open Semrush daily. The AI Visibility Toolkit lets you check prompts, track mentions and citations, and keep AI checks next to organic rank data, so the team does not need a second dashboard for a routine task. Prompt discovery from a large database can also help you find buying prompts you had not planned to check. Check prompt limits and add-on pricing for your Semrush plan, and test chatbot engines separately from AI Overviews. If your buyers mainly use ChatGPT or Gemini chat, confirm that Semrush checking covers those answers in the way you need before you make it your only checker.

Ahrefs Brand Radar checks brand presence from a web and citation perspective, which complements chatbot-specific checkers. It tracks mention trends, helps you discover prompts at scale, and links AI exposure to web signals that SEO teams already monitor. For a research-heavy team, that breadth helps you check not only whether you appear, but which web sources drive that appearance. The cost is higher than entry checkers, because Brand Radar sits on top of Ahrefs plans in many listings. It fits best for teams already paying for Ahrefs who want AI checking in the same workflow. For a standalone weekly check, a dedicated tool is usually cheaper and simpler.

RankPrompt is useful when checking should lead directly to a fix. It tracks prompts across ChatGPT, Perplexity, Google AI Mode, Claude, Gemini and Grok in its listings, reports citations and competitor gaps, and suggests fixes for schema, citations and content gaps. That link from check to action helps small teams that otherwise collect reports without changing pages. Suggestions are not automatic improvements. You still need to edit pages, earn citations or fix technical issues, and then check again to see whether visibility moves. Use RankPrompt when you want a checking routine that ends with a short, assigned fix list each week, not just a score.

LLMrefs appeals to teams that want to check many engines without paying enterprise prices. Listings describe coverage across 11 AI engines, including Claude and Grok, on a single plan, which helps you compare answers across models instead of assuming one engine represents them all. That breadth is valuable because cited sources differ sharply by engine. As a newer tool, LLMrefs has less long-term public history than Profound or Semrush. Test it on your core prompts for a few weeks, compare its answer captures with a manual check on one engine, and judge it on whether the history and citation views help you act. For broad checking on a budget, it is worth a trial.

Mangools AI Search Watcher is a budget checker for teams that want multi-engine coverage without a large subscription. It runs prompts multiple times across major engines, which helps smooth out the variation you get from a single AI answer. A free AI Search Grader lets you test the concept before you pay, which is useful for a small brand that is new to AI checking. Depth is the trade-off. Reporting and competitor analysis are thinner than Profound or Peec AI, so Mangools fits best as a regular checker for a focused prompt list. Use it to spot changes and citation gaps, then use a deeper tool or manual review when a prompt shows a persistent problem.

HubSpot AEO, which stands for answer engine optimisation, suits teams already using HubSpot who want checking close to CRM data. Standalone plans run a set number of prompts daily across ChatGPT, Gemini and Perplexity, with citation and competitor views. Higher Marketing Hub plans add CRM-informed prompt suggestions, which can help you check prompts tied to real customer segments. Prompt limits matter. Standalone checking covers a modest prompt list, so prioritise buying prompts over broad topic lists. If your team already uses HubSpot for marketing and sales, AEO keeps checking in a familiar system. If you need many prompts or many engines, a dedicated checker may offer more room.