Best LLM Visibility Monitoring Tools (2026)

LLM visibility monitoring tools track whether ChatGPT, Claude, Perplexity, Gemini and Google's AI answers name your brand when buyers ask. For marketers, the main options in 2026 are TrendlyAI ($19/mo), Otterly.AI ($29/mo), Rank Prompt ($49/mo), LLMrefs ($79/mo), SE Visible ($89/mo), Peec AI ($95/mo), Semrush ($99/mo) and Profound (custom).

Key takeaways🔗

• This post is about marketing visibility: whether large language models (LLMs) mention and recommend your brand. It is not about LLMOps tools that monitor the cost, speed or errors of an AI app your engineers built.

• The tools differ on four limits: engines covered, prompts allowed, how often they scan and how many answers they collect per prompt.

• As of October 2026, LLMrefs lists the most engines for the money ($79/mo), and Rank Prompt covers six engines on every plan.

• Daily tracking costs more. Weekly scans are enough for most teams to see whether a change worked.

• We build TrendlyAI, so weigh that. Every competitor detail below comes from the vendor's own site, checked in October 2026.

What is LLM visibility monitoring?🔗

LLM visibility monitoring is tracking, over time, whether AI assistants built on large language models mention your brand in their answers to the questions your buyers ask. A tool sends a list of prompts, like "best payroll software for a 30-person company," to engines such as ChatGPT, Claude, Perplexity and Google AI Overviews. It saves each answer and reports whether you were named, where you ranked, which competitors appeared and which sources were cited.

Think of it as rank tracking for AI answers. The difference is that there is no fixed results page. The same prompt can produce a different answer each time, so monitoring is about trends across many prompts and many runs, not a single position. Our guide to how an AI visibility score works explains how tools turn answers into a number.

Is LLM visibility monitoring the same as LLM observability?🔗

No. LLM observability (often called LLMOps monitoring) is an engineering category: tools that trace prompts, latency, token costs, errors and output quality inside an AI product your own team runs. If you are a developer debugging a chatbot, that is what you want.

LLM visibility monitoring is a marketing category. You do not run the model. You want to know what OpenAI's, Anthropic's, Perplexity's and Google's models say about your brand to the public. Every tool in this post is in the second group. If your search for "LLM monitoring" turns up tracing dashboards and SDKs, you are in the wrong aisle.

What should a marketer look for in an LLM monitoring tool?🔗

A marketer should look at five things before buying an LLM monitoring tool.

1. Engines. ChatGPT, Google AI Overviews and Perplexity are the usual base. Claude, Gemini, Copilot, Grok and Google AI Mode are often extra or missing.

2. Prompts. How many questions you can track. One brand usually needs 15 to 25 good buyer prompts to start; several products or regions need more.

3. Frequency. Daily, weekly or on demand.

4. Samples. How many answers the tool collects per prompt per engine on each run. LLM answers vary, so more samples give a steadier read. Few vendors publish this number, so ask.

5. Sources and competitors. Which URLs were cited, and which rivals were named instead of you. This is what tells you what to fix.

Our guide to tracking ChatGPT performance over time explains why one run is never enough.

Which LLM visibility monitoring tools are best in 2026?🔗

These are the tools we checked on each vendor's own pricing or help page in October 2026. Prices are monthly in USD unless noted.

Sources: Otterly.AI pricing, Rank Prompt pricing, LLMrefs pricing, SE Visible pricing, Peec AI pricing, Semrush AI Visibility Toolkit help page, Profound pricing, TrendlyAI methodology.

1. TrendlyAI: for marketers who want gaps and drafted fixes🔗

We build TrendlyAI, so weigh that. TrendlyAI checks whether ChatGPT, Perplexity, Claude and Google AI Overviews name your brand or your competitors when buyers ask. It saves the full answer text and every cited source, flags gaps where a competitor is recommended and you are not, and drafts a fix: a comparison page, an FAQ page with schema, a Reddit answer, an llms.txt file, a best-of list or a product page rewrite. Later scans detect won citations. It also makes white-label PDF reports and share links.

Solo is $19/mo ($16/mo billed yearly) for 1 brand, 25 prompts, 2 competitors and 10 fix drafts a month. Pro is $49/mo ($39/mo yearly) for 3 brands and unlimited fix drafts. Agency is $149/mo ($124/mo yearly) for 10 client brands.

The weak points are real. It tracks only 4 engines: no Gemini, Grok, Copilot or Google AI Mode. It scans weekly with 1 sample per prompt per engine, so it shows trends rather than day-to-day swings, and a single odd answer can move a weekly number. It has no prompt-volume data, few public reviews and a small team. TrendlyAI tracks its own domain, and I publish our own score, which is low. There is a 7-day free trial with no credit card, and no free plan.

2. Otterly.AI: for daily monitoring on a short prompt list🔗

Otterly.AI's Lite plan is $29/mo ($25 yearly) for 15 prompts with daily tracking on ChatGPT, Google AI Overviews, Perplexity and Copilot. Claude costs $29/mo extra on Lite, and Google AI Mode and Gemini cost $9/mo each. Standard is $189/mo for 100 prompts with API and MCP access. Every plan includes unlimited team members. See our Otterly alternative post.

3. Rank Prompt: for six engines on every plan🔗

Rank Prompt includes ChatGPT, Perplexity, Google AI Mode/AI Overviews, Claude, Gemini and Grok on every plan. It bills in credits: one prompt on up to three engines costs 1 credit, and on four to six engines costs 2. Starter is $49/mo ($39 yearly) for 150 credits; Pro is $89/mo ($71 yearly) for 500. Credits reset monthly and do not roll over. The free plan gives 10 credits a month, with API and MCP access. Our Rank Prompt alternatives post compares it in detail.

4. LLMrefs: for the widest engine list per dollar🔗

LLMrefs has one plan at $79/mo for 500 prompts, unlimited projects and unlimited team members, with API access and CSV export. Its pricing page lists ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI and DeepSeek, and says every keyword updates at least once a week. It also includes a Reddit threads finder and an llms.txt generator. You build fixes yourself.

5. SE Visible: for daily data and reporting connectors🔗

SE Visible, from SE Ranking, starts at $89/mo ($71/mo billed yearly) for 75 prompts and 5 projects, with daily tracking on ChatGPT, AI Overviews, AI Mode, Gemini and Copilot. Every plan includes unlimited seats and competitors, a Data Studio connector, API and MCP access, and a 10-day free trial. Perplexity is not listed, and Claude is marked as coming soon.

6. Peec AI: for marketing teams that want daily data and fact checks🔗

Peec AI's Starter plan is $95/mo for 50 prompts and 1 project, with daily tracking of visibility, position, sentiment and share of voice. Self-serve plans run 3 active models at a time. Starter also includes 5 "fact-checked prompts," which check AI answers against facts you set. API access starts on Pro ($245/mo).

7. Semrush AI Visibility Toolkit: if your team already lives in Semrush🔗

Semrush's help page lists the toolkit at $99/mo for 1 domain and 25 prompts, with daily prompt tracking and 50 more prompts for $60/mo. It names ChatGPT and Google AI Mode. Our Semrush AI toolkit alternatives post covers when it fits.

8. Profound: for enterprise teams with a procurement process🔗

Profound has no public paid price. Its free trial runs 50 prompts daily for 7 days on ChatGPT, Gemini and Google AI Overviews. The custom Enterprise plan tracks up to 9 engines, including Perplexity, Claude, Copilot and Google AI Mode, and adds API, CSV and JSON exports, SSO/SAML and SOC 2 compliance. Its pricing page also lists a Prompt Volumes feature. See our Profound alternative post.

How should you run LLM visibility monitoring week to week?🔗

You should run LLM visibility monitoring as a short weekly routine built around gaps, not as a dashboard you glance at. This is the loop that works for most teams:

1. Pick 20 to 25 prompts buyers actually ask. Mix category ("best X for Y"), comparison ("X vs Y") and alternatives ("alternatives to X") questions.

2. Track two to five real competitors. The useful output is the list of prompts where they are named and you are not. Our guide to competitor AI visibility analysis shows how to read it.

3. Fix one gap at a time. Publish a fair comparison page, an FAQ with schema, or a helpful answer where the engine finds its sources.

4. Wait several runs before judging. LLM answers vary between runs. Look at the trend over three or four weeks, not one scan.

5. Spot-check by hand. Ask the same prompt in ChatGPT yourself now and then. The tool should match what you see most of the time.

More guides like this are on the GEO hub.

Can you try LLM visibility monitoring for free?🔗

You can try LLM visibility monitoring for free with a one-off check or a trial before you commit. TrendlyAI's free AI visibility check needs no signup, takes about 30 seconds and runs 5 prompts on ChatGPT and Perplexity. Rank Prompt has a free plan with 10 credits a month, and LLMrefs, SE Visible and Profound offer free trials.

Frequently asked questions🔗

What is the best LLM visibility monitoring tool for a small team?🔗

For a small team on a budget, TrendlyAI Solo ($19/mo, 4 engines, drafted fixes), Otterly.AI Lite ($29/mo, daily) and LLMrefs ($79/mo, many engines) are the most common starting points as of October 2026. We build TrendlyAI, so weigh that, and try the free options first.

Is LLM monitoring the same as LLM observability?🔗

No. LLM observability tools help engineers trace cost, latency and errors in their own AI apps. LLM visibility monitoring tools help marketers see whether public AI assistants like ChatGPT and Claude mention their brand.

Which LLM monitoring tool covers the most engines?🔗

Among the tools we checked, LLMrefs lists the most on one plan, including ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI and DeepSeek. Rank Prompt covers six engines on every plan.

Why do LLM monitoring results change from week to week?🔗

LLMs do not return a fixed ranking. The same prompt can give a different answer each run, and engines change their models and sources over time. Look at trends across many prompts and several weeks rather than a single result.

Does TrendlyAI monitor Gemini or Google AI Mode?🔗

No. TrendlyAI tracks ChatGPT, Perplexity, Claude and Google AI Overviews on every plan. It does not track Gemini, Grok, Copilot, Meta AI or Google AI Mode.

Related reading🔗

• Best ChatGPT rank tracking tools

• Best affordable AI visibility tools under $100

• What is AI search visibility?