Best LLM Visibility Optimization Tools in 2026

Profound started as a visibility tracker and has grown into an optimization platform for larger brands. It tracks prompts across ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews, Google AI Mode, and other engines on higher tiers, and it shows which sources those answers cite. That citation view is the optimization starting point, because it names the third-party pages and owned pages that shape an answer.

Profound also adds agent analytics that trace AI crawler behavior, which helps technical teams see whether AI systems can reach and read key pages. The trade-off is complexity and cost. Small teams may find the dashboard heavy and the sales-led pricing slow to evaluate, while larger teams with a dedicated analyst will get more from the depth. For enterprise optimization programs, Profound is the most complete platform in this list.

Scrunch AI frames optimization as a site problem, not just a prompt problem. Its Core plan, listed at $250 per month in recent pricing guides, tracks prompts across ChatGPT, Perplexity, Google AI Overviews, and Copilot, and adds audits that check how AI systems parse your pages. From there, it surfaces content recommendations, such as clearer facts, better structure, or missing coverage for prompts you lose.

That audit-to-action loop is why Scrunch ranks high for optimization, rather than tracking alone. The limit is price and scope: smaller teams may struggle to justify $250 per month before they see movement, and expanded engine coverage sits on Enterprise. If you have a content team ready to act on audit findings each week, Scrunch gives that team a clear queue.

Goodie positions itself as a bridge between measurement and action. It monitors how models describe a brand across ChatGPT, Claude, Perplexity, Gemini, Copilot, and other engines, then connects those findings to optimization work, including content updates and citation targets. For teams that have tried a tracker and then stalled, that action link is the main selling point.

The drawback is transparency. Goodie does not always publish a simple entry price, so buyers need a demo or sales conversation to confirm prompt limits and plan details. That is common in this category, but it makes budgeting slower. If you want a tool that pushes you toward fixes rather than only charts, Goodie deserves a trial alongside Scrunch and Profound.

AthenaHQ is notable for letting teams test with real data before committing to a large plan. Its free Essential tier offers limited credits, while Starter, listed at $295 per month in recent guides, adds more credits, more models, and unlimited members on published plans. The platform tracks brand visibility, analyzes sources and responses, and turns findings into prioritized content and technical fixes.

That free start is useful, but credits are the constraint. A broad prompt set with daily checks can use credits fast, so teams should start with a tight list of buyer prompts and expand only after they see which fixes matter. For B2B SaaS teams and lean marketing teams that want analysis rather than a mention log, AthenaHQ is a strong optimization entry point.

Peec AI helps optimization teams answer a specific question: are we cited because the model retrieved our page, or because it mentioned us without citing us. That distinction matters, because a retrieval problem needs technical or content structure fixes, while a citation problem may need stronger third-party coverage. Peec tracks selectable models, including ChatGPT, Google AI Mode, AI Overviews, Gemini, and Copilot, with add-ons for more engines.

Starter, listed at $95 per month in recent US pricing guides, includes 50 prompts and three selected models, with unlimited users, which suits agencies and mid-market teams. Optimization support is more analytical than prescriptive: Peec shows where you lose and to whom, but your team still writes the fix. For competitor-aware programs, that clarity is valuable.

Otterly.AI is the most accessible optimization starting point. Lite, at $29 per month, tracks a small prompt set daily across ChatGPT, Google AI Overviews, Perplexity, and Copilot, and includes a GEO audit that checks whether a page is ready to be cited. That audit gives small teams a concrete fix list without paying for an enterprise platform.

The limits are prompt count and engine add-ons. Fifteen prompts cover a core category, but not a full product line, and adding Gemini or AI Mode costs more. Otterly is best for a pilot: pick your most important buyer questions, fix the pages the audit flags, and recheck daily to see if mentions improve. If the pilot works, upgrade or move to a larger optimization platform.

Rankability appeals to agencies and teams that want tracking and content help in one place. Starter, listed at $97 per month, includes a large daily query allowance across many platforms in recent pricing comparisons, which is generous for the price. That volume lets a team track core prompts, competitor prompts, and pricing questions without trimming the list to fit a tiny plan.

The trade-off is maturity. Rankability is less established in independent lists than Profound, Peec, or Otterly, so buyers should trial it with real prompts and check whether its content recommendations fit their editorial standards. For teams that will act on content weekly, the bundle can be more useful than a tracker alone.

Promptwatch combines prompt monitoring with a path to content action. Essential, at $95 per month, includes 50 prompts and a large response allowance, with daily tracking and API access, while higher plans add AEO article credits that help teams turn tracked gaps into published pages. That structure suits teams that want to measure, then publish, without buying a separate content tool.

The limit is model choice. Each plan covers four models from a larger catalog, so you must choose which engines matter most for your buyers. Essential also lacks AEO articles, so content work on that tier is manual. For teams with a clear engine priority and a publishing cadence, Promptwatch is a practical optimization bridge.