| Product | Ideal for | Price from | Free version | |
|---|---|---|---|---|
| Dedicated LLM tracking | See website | Free trial | Visit | |
| LLM plus content insights | See website | Free trial | Visit | |
| SEO teams adding LLM | See website | Free trial | Visit | |
| Mid-market LLM tracking | $95 per month | Free trial | Visit | |
| Enterprise LLM programs | See website | Free trial | Visit | |
| Budget LLM tracking | $29 per month | Free trial | Visit | |
| Prompt research at scale | $199 per month | No | Visit |
Large language model visibility means whether models like ChatGPT, Gemini, Claude and Perplexity mention or recommend your brand when users ask relevant questions. Tracking tools send a fixed set of prompts to those models on a schedule, then record mentions, citations, sentiment and competitor presence. The tools below differ in models covered, prompt limits and price, so compare entry tiers carefully.

Ideal for: Dedicated LLM tracking

Rankscale is our pick for dedicated LLM visibility tracking. It focuses specifically on how brands appear inside LLM answers, with prompt monitoring across major models, citation views and competitor comparisons. That focus makes reporting clear for SEO teams who want LLM data without a full enterprise platform.
Pricing varies by plan and prompt volume, so confirm the tier that covers your models and prompt count. As a newer platform, Rankscale has less history than Semrush or Ahrefs, but its dedicated LLM focus makes it the most straightforward choice for teams whose main question is LLM visibility.

Ideal for: LLM plus content insights

ZipTie suits teams that want LLM tracking plus insight into why pages get cited. Prompt monitoring across major models sits alongside site and content analysis, helping teams connect LLM mentions to the pages and content that earn them. Developer-friendly data access suits teams that want to export or integrate results.
Pricing varies by plan and prompt volume, and the tool is more technical than a simple tracker. For teams that want LLM measurement plus content diagnostics, ZipTie offers a strong combination.
Ideal for: SEO teams adding LLM

SE Ranking AI Visibility Tracker suits SEO teams already using SE Ranking, since LLM tracking sits alongside keyword rankings, site audits and backlink data. That integration helps teams manage traditional and AI search in one platform, with competitive pricing compared with standalone enterprise tools.
The AI tracker may sit on top of a base plan, so confirm total cost, and prompt limits vary by tier. For SE Ranking users who want to add LLM tracking without a new platform, this is the natural choice.

Ideal for: Mid-market LLM tracking
Peec AI suits mid-market teams that want clear LLM tracking without enterprise complexity. It monitors brand mentions, position and sentiment per prompt across several AI engines, with unlimited seats for the whole team. Setup is straightforward, and the interface stays readable as prompt counts grow.
Engine coverage on the entry plan is limited, so check that the models your buyers use are included at the tier you choose. For lean teams that want reliable LLM tracking at a mid-market price, Peec AI is a strong pick.

Ideal for: Enterprise LLM programs
Profound suits enterprise teams running LLM visibility programs at scale. Reporting is polished, prompt-demand data shows what buyers actually ask, and workflows turn findings into assigned actions. For multi-brand programs where reporting quality matters to leadership, Profound is a strong choice.
Smaller teams face custom pricing and a sales process, with a free trial for evaluation. Budget trackers cover the core LLM measurement job for far less. For enterprise programs, Profound reporting and scale justify the conversation.

Ideal for: Budget LLM tracking
Otterly.AI is the budget pick for LLM visibility tracking. Daily prompts check whether AI answers mention your brand, with a built-in audit highlighting basic site readiness issues. The low entry price makes it practical for startups and small teams to start measuring LLM presence.
Prompt limits are tight at entry level, and some engines cost extra, so growing programs need a higher tier. For a first LLM tracker that answers the basic question, are we mentioned, Otterly.AI is the cheapest honest start.

Ideal for: Prompt research at scale
Ahrefs Brand Radar suits teams that want prompt research at scale across LLM and AI search surfaces. Large prebuilt indexes of real prompts show which questions trigger AI answers in your market, and citation views link those answers to backlink data, helping SEO teams understand why certain pages get cited. For market research, that depth is hard to match.
Cost is the limit, since pricing is per AI index and a base Ahrefs plan may be required, so covering every model multiplies the bill. For ongoing simple tracking, cheaper tools suffice. For research-led teams that want prompt scale and citation analysis, Brand Radar is powerful.
We compared official pricing pages, feature documentation and public reviews for LLM visibility tools available in October 2026. We kept tools that query live language models on chosen prompts, show citations, and name competitors, and we checked entry prices and model coverage as vendors state them. Prices in this fast-moving category change often, so confirm current terms before buying. We did not claim hands-on testing.
Start with your models and prompts, not with a feature list. List the models your buyers actually use, such as ChatGPT, Gemini, Claude and Perplexity, then check which models each entry tier covers. A cheap plan that excludes your main model is not cheap at all.
Then count prompts honestly. Entry plans often cover 15 to 50 prompts, which suits one brand in one market but not an agency with many clients. Check prompt limits, seat limits and whether pricing is per brand, per workspace or per model. Finally, remember that measurement alone does not improve visibility: budget time for quotable pages, structured data, third-party authority and factual corrections, since that work earns recommendations.
A useful habit for LLM visibility work is to save example answers for your most important prompts each month, including the full text and the cited sources, so you can compare wording changes over time. Dashboards show whether mentions rise or fall, but saved answers show why, such as a competitor gaining a citation or your own page being quoted differently. That qualitative record turns a tracking tool from a scoreboard into a guide for content improvements.
It is the practice of measuring how your brand appears inside answers from large language models like ChatGPT, Gemini, Claude and Perplexity. Tracking tools send a fixed set of prompts to those models on a schedule, then record mentions, cited sources, sentiment and competitor presence over time.
Self-serve trackers start around $29 to $95 per month, mid-market tools run around $95 to $250 per month, and enterprise platforms use custom pricing. Free trials exist for evaluation, but ongoing daily tracking needs a paid plan. Confirm model coverage and prompt limits before comparing prices.
Mostly they measure it. They show where you are absent and who gets recommended instead, which is essential, but the work that earns a recommendation, such as quotable pages, schema, third-party authority and factual corrections, remains yours. A few tools add action guidance to prioritize that work.
Track the models your buyers use most, typically ChatGPT, Gemini, Claude and Perplexity, plus Google AI Overviews or AI Mode for search-driven buyers. Start with two or three models and expand only if the data shows buyers use others.
For a first look, yes, through free trials and limited free tiers from some vendors. Ongoing tracking with daily prompts and competitor views needs a paid plan, starting around $29 per month.