Best LLM Monitoring Tools to Track Responses Across Models

Ask ChatGPT, Claude, and Gemini the same question about your brand today. You will likely get three different answers. One names you. One names a competitor. One skips you entirely.

That gap is the whole problem. Ranking first on Google no longer means an AI assistant mentions you at all, and each model reads the web in its own way. So how do you see all of them at once, without opening six chat windows every morning and copying answers into a spreadsheet?

That is the job llm monitoring tools do for you. They run your prompts across multiple models on a schedule, then report how often each one names you, links to you, and how you stack up against rivals over time. This is multi-llm tracking done for you: one dashboard instead of a manual audit you never quite finish.

Why does this matter now? Buyers have started asking AI assistants the questions they used to type into Google, and the answer they get shapes whether you make their shortlist. If a model describes you wrong or leaves you out, you rarely find out until a deal stalls. Watching those answers is how you catch it early.

If this feels like a lot, take a breath. You only need to pick one tool, and this guide compares ten of them so the choice gets smaller, not bigger.

How we picked these tools

A roundup is only as trustworthy as its criteria, so here are ours up front. Every tool on this list has to do all of the following:

• Cover at least ChatGPT plus one of Perplexity, Google AI Overviews, Claude, or Copilot. Single-engine trackers did not make it.
• Track both mention rate (your brand named in an answer) and citation rate (your URL used as a source). A tool that measures one and ignores the other misses half the picture.
• Compare your share of voice against a competitor set you define, so the numbers have context.
• Run prompts on a schedule and keep the answer history, not just a one-off snapshot.
• Attribute citations at the page level, so you know which of your URLs actually won.
• Offer self-serve access: a real free tier, a free trial, or transparent published pricing.

One clarification before we start, because it trips people up. This list is about marketing-side llm visibility tools, the kind that watch what public AI products say about your brand. It is not about engineering observability tools like LangSmith, Langfuse, or Helicone. Those trace tokens, latency, and retrieval inside an app your developers build. Different job, different buyer. The llm visibility tools below all point outward, at the models your customers are actually asking.

The 10 best LLM monitoring tools at a glance

Here is the whole field side by side. Empty cells mean the vendor does not publish that detail, and we left it blank rather than guess.

Now let's walk through each one, what it is best at, and where it falls short.

1. DeepSmith

Best for: content and marketing teams that want to monitor llm responses and close the gaps they find, in one workspace.

Most tools on this list stop at the report. They tell you where you are invisible, then hand the problem back to you. DeepSmith is built to keep going. It tracks how ChatGPT, Gemini, Perplexity, Claude, and Google AI Mode describe your brand, then lets you produce the on-brand content that fills the gap, all from the same data. That is the difference that matters when you are the one who has to fix the number, not just watch it.

On the monitoring side, you get mention rate, citation rate, share of voice, and a visibility trend, with a per-platform breakdown and a competitor leaderboard. It is built to monitor llm responses across engines on a schedule, not as a one-time check you run and forget. The Prompts view keeps full answer history for every question you track, so you can see what each model said last week versus today. The Pages view shows which of your URLs each engine cited and which prompt drove it, which is the detail that tells you what content is actually working. Discover Prompts even generates a starter set of questions from your product and buyer context, so you are not staring at a blank prompt list on day one.

Here is where it earns the top spot. When monitoring surfaces a gap, the same workspace turns it into a finished article. The Writer researches, drafts, links internally and externally, adds a cover image, and writes the metadata, so what comes out is publish-ready, not a first draft to rescue. Autowrite can schedule that article to write itself on a set date and land ready to review. The Apps Library then turns one article into LinkedIn, X, newsletter, Reddit, and other channel-native posts, so distribution stops falling off your plate. As Aditya G, Marketing Director at Bindbee, put it, "We are able to track prompts for which we rank in AI answers, generating meetings."

Engines covered, by tier: Pro tracks ChatGPT; Grow adds Perplexity; Scale adds Gemini; Enterprise covers all named engines including Claude and Google AI Mode.

Pricing: Pro is $99/mo, Grow is $199/mo, and Scale is $399/mo, with lower effective rates on annual billing ($80, $160, and $299 per month). Enterprise is custom. There is a 7-day free trial with real data and real drafts before you pay, plus no long-term contracts. Agencies can run multiple brands from separate, isolated workspaces.

Honest limitation: Claude and Google AI Mode monitoring sit on the top tiers rather than the entry plan, so a team that needs every engine from day one will price into Scale or Enterprise. The trial runs 7 days, shorter than the 14 days a couple of competitors offer. If all you want is a raw engine count with no interest in producing content, a pure monitor may feel lighter.

2. Profound

Best for: enterprise teams that need the broadest published engine coverage plus security controls like SOC 2 and SAML.

Profound runs daily scheduled prompts across up to ten AI engines and reports mention and citation rates, share of voice, and prompt volume estimates. Its Answer Engine Insights show which domains each engine cites most, and extra modules add Shopping Agent Analytics for commerce queries, an Agents module for autonomous workflows, and Sheets for bulk prompt operations. Multi-language and multi-region support round it out.

Engines covered: Starter ($99/mo) tracks ChatGPT; Growth ($399/mo) adds Perplexity and Google AI Overviews; Enterprise (custom) reaches up to ten engines including Claude, Gemini, and Copilot.

Honest limitation: the three-engine Growth tier is the first plan with meaningful multi-llm tracking, and full breadth means a custom Enterprise contract with pricing Profound does not publish.

3. Otterly AI

Best for: solo marketers and small teams that want a low-cost monitor with optional GEO add-ons.

Otterly tracks brand presence and sentiment across ChatGPT, Perplexity, Google AI Overviews, and Copilot. It adds an LLM Visibility Audit that grades how engines interpret your site, a Link Optimization tool that scores your external citation sources, and a Looker Studio connection for custom reporting.

Engines covered: the base tiers cover four engines, with Claude, Google AI Mode, and Gemini available as paid add-ons.

Pricing: Lite is $29/mo (15 prompts, weekly runs), Standard is $189/mo (100 prompts), and Premium is $489/mo (400 prompts), with lower annual rates.

Honest limitation: the engines many teams care about most, Claude and Gemini, are add-ons rather than part of the base plan. The Lite tier also runs weekly, so your resolution is coarser than a daily competitor's.

4. Peec AI

Best for: marketing teams that want every major engine on every paid tier, with Looker Studio, MCP, and SSO higher up.

Peec is AI search analytics aimed at marketing teams and SEO agencies. You get visibility scores per engine, prompt-level analysis with sentiment, tag-based prompt organization, source and citation analysis, and project workspaces for running several brands at once.

Engines covered: all paid tiers include ChatGPT, Google AI Mode, Google AI Overviews, Copilot, Perplexity, and Gemini.

Honest limitation: Claude is not on the public engine list, and pricing above the Starter tier is sales-led rather than published.

5. AthenaHQ

Best for: marketers who want a usable free tier before committing budget.

AthenaHQ is an AI search optimization platform with brand visibility tracking, agent-driven content recommendations, weekly GEO audits, and cross-model comparison. Its named agents handle content suggestions and SEO research so recommendations come with next steps attached.

Engines covered: the free tier tracks five engines (ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini). The $295/mo Starter plan adds Claude, Copilot, Grok, and Meta AI for nine total.

Pricing: Free, Starter at $295/mo, and custom Enterprise.

Honest limitation: the daily refresh is labeled Beta on their materials, and the free tier, while genuinely useful, is limited in prompt volume.

6. LLMrefs

Best for: SEO teams that already think in keyword lists and want the widest single-product engine roster.

LLMrefs works like a keyword tracker pointed at AI answers. You submit keyword groups, it runs them across nine engines, and it reports brand rankings, share of voice, sentiment, and citations. It also bundles an AI-content module for production.

Engines covered: nine, including ChatGPT, Claude, Google AI Mode, Grok, Copilot, Meta AI, Gemini, Google AI Overviews, and Perplexity.

Honest limitation: pricing is sales-only, and some engines appear in marketing copy before full data parity is confirmed, so verify the coverage you need during a demo.

7. Knowatoa

Best for: marketers who want a free weekly audit and an affordable step up.

Knowatoa runs weekly AI visibility audits, reports per-engine visibility percentages, and surfaces the actual questions buyers are asking AI engines about your category. It sends Slack and email alerts and pairs findings with content-action recommendations.

Engines covered: the free tier covers ChatGPT, Google AI Overviews, and Google AI Mode. The $199/mo Growth tier adds Claude, Perplexity, Gemini, Copilot, and Grok.

Pricing: Free, Growth at $199/mo, and custom Enterprise.

Honest limitation: the free tier refreshes weekly rather than daily, and Meta AI is not on the list.

8. Scrunch AI

Best for: enterprise teams that also care about how AI agents crawl their content.

Scrunch monitors your brand across LLMs and layers on an Agent Experience Platform that shapes how AI agents read your pages. The Core plan covers four engines; Enterprise unlocks nine and adds crawler analytics, sentiment analysis, and an AI content optimizer.

Engines covered: Core ($250/mo) covers ChatGPT, Perplexity, Google AI Overviews, and Copilot. Enterprise (custom) adds Google AI Mode, Gemini, Claude, Grok, and Meta AI.

Honest limitation: at $250/mo for four engines, Core is the most expensive entry point here, and full breadth plus the agent platform needs a sales-led contract.

9. XFunnel

Best for: marketing leaders who want AI visibility tied to pipeline and revenue.

XFunnel monitors your presence across five LLMs, attributes citation sources, and offers recommendations. Its differentiator is revenue attribution: it links AI visibility to on-site behavior and pipeline through HubSpot, Salesforce, Google Analytics, and Segment.

Engines covered: ChatGPT, Perplexity, Claude, Gemini, and Copilot.

Honest limitation: pricing is opaque with demos required, and there is no free tier or trial to test before you talk to sales.

10. Rankshift

Best for: SEO teams that want a familiar rank-tracker feel applied to AI search.

Rankshift takes the classic rank-tracking workflow (keyword lists, projects, tags, trend reporting) and redirects it at AI engines, with competitor benchmarking built in. If your team already lives in a rank tracker, the learning curve here is short.

Engines covered: ChatGPT, Perplexity, Google AI Overviews, Claude, and Gemini.

Honest limitation: the engine roster is smaller than the category leaders, and pricing is not published.

A few worth knowing about

The category is growing fast, so a handful of tools sit just off the main list. Wellow.ai is a budget option with limited public detail. Ahrefs Brand Radar is Ahrefs' AI visibility module covering eight engines, handy if you already pay for Ahrefs. Social-listening platforms like Brand24 and Mention have added AI mention detection, which complements a dedicated monitor rather than replacing it. And Dark Visitors focuses on which AI crawlers hit your site, a different angle on the same shift.

What good LLM response monitoring actually looks like

Feeling unsure which features are non-negotiable? Here is the short checklist to hold every tool against when you compare llm response monitoring options. It is the same standard we used above.

• Multi-model coverage. The minimum is ChatGPT plus one of Perplexity, Google AI Overviews, Claude, or Copilot. Serious coverage means four or more engines.
• Mention rate and citation rate together. A mention is your brand named; a citation is your URL used as a source. You want both.
• Page-level citation attribution. When a model cites you, which URL did it use, and which prompt drove it?
• Share of voice against named competitors. Absolute scores hide context. Your board wants the relative number.
• Prompt-level answer history. Without a time series, you cannot tell whether a content change moved anything.
• Tag or cluster organization. Most teams run 50 to 500 prompts. Without tags, the data is unusable.
• Sentiment and context. Were you named positively, negatively, or as a comparison foil?
• An action loop into content. Either clean export to your editorial workflow, or an in-product writer that turns gaps into articles.
• Transparent pricing and a trial. Self-serve validation beats a sales-gated black box.

If a tool nails the first five, you are in good shape. The rest are how you separate a decent monitor from one you will still love in six months.

How to choose the right one for you

Let's make this simple. You do not need the tool with the most logos on its engine list. You need the one that fits how your team works.

Pick DeepSmith if you are the person who has to both measure visibility and fix it, and you would rather not stitch a monitor to a separate writing tool. Watching the gap and closing it in one workspace is the point.

Pick Profound or Scrunch if you are an enterprise buyer who needs ten-engine breadth, security paperwork, and agent-level crawler analytics, and a custom contract is normal for you.

Pick Otterly, Knowatoa, or AthenaHQ if you are a solo marketer or a lean team and budget is the deciding factor. A free tier or a $29 to $199 plan lets you start today and prove value before you scale up.

Pick Peec or LLMrefs if you think in keywords and want every major engine on one screen. Pick XFunnel if tying AI visibility to CRM pipeline is the number your leadership cares about most.

There is no wrong first step here. Any of these beats the spreadsheet you are keeping now, and you can switch once you know what you actually use. The best tool is the one your team will open every week, so weigh fit and habit as heavily as the feature list.

Start monitoring, then close the gaps

You have the shortlist. The next move is small: pick one tool and run your real buyer questions through it this week.

If you want the monitoring and the fix in the same place, start a DeepSmith free trial and see your real numbers, and your first drafts, before you pay a cent. You have already done the hard part by getting clear on what to look for. Now let the tool do the watching.