ChatGPT answers, unedited

If you mean “track how different AI assistants (ChatGPT, Claude, Gemini, Perplexity, etc.) talk about our brand and score the sentiment of those mentions per model”, you’re looking for an AI brand monitoring / GEO (Generative Engine Optimization) tool, not a traditional social listening platform.

A few tools that fit:

My shortlist by use case

• CMO / brand reputation dashboard: Gumshoe or Neluris Gumshoe AI Neluris
• Need data piped into your own BI stack: MentionsAPI or Lettertrace MentionsAPI Lettertrace
• Already doing SEO/GEO work: Nightwatch Nightwatch

For evaluation, I’d make sure the tool gives you these dimensions (many “AI visibility” tools only provide mention counts):

1. Model-level sentiment

• ChatGPT: +0.42 sentiment
• Claude: +0.18
• Gemini: -0.05
• Prompt-level evidence

• The exact prompt that triggered the mention
• The exact AI response snippet
• Why it was classified positive/negative
• Competitor comparison

• “When users ask best X tools, how often are we mentioned vs competitors?”
• Sentiment-weighted share of voice
• Historical tracking

• Did a model update change how it describes your brand?
• Did a PR event change AI perception?

If you’re building this internally, the architecture is usually:
prompt library → query multiple LLMs → extract brand mentions → sentiment classifier → per-model dashboard. MentionsAPI is closer to the “data layer” approach, while Gumshoe/Neluris are closer to finished marketing products. MentionsAPI Gumshoe AI

I can also suggest a stack depending on whether you need this for brand monitoring, SEO/GEO optimization, PR, or an internal analytics product.

Yes. What you’re looking for is generally called AI brand monitoring / LLM visibility / GEO monitoring: the tool repeatedly asks the same prompts across different assistants and records whether your brand appears, how it is described, and the sentiment.

My shortlist

• centium.ai — closest match if sentiment/perception is the priority. It captures the actual language used about your brand at phrase level, associates it with the model and prompt, clusters themes, and assigns sentiment. It currently covers ChatGPT, Claude, Gemini, Grok, Perplexity, and Google AI Mode. Centium
• gumshoe.ai — strongest if you want to understand how different buyer personas experience your brand. It runs persona-based conversations across multiple models and provides model-level visibility, recommendation and sentiment analysis. Gumshoe AI
• rankr.so — simpler, focused dashboard for visibility + position + sentiment by model, currently covering ChatGPT, Claude, Perplexity and Gemini. Rankr
• v3.nightwatch.io — worth considering if you already use Nightwatch for SEO. It combines AI brand monitoring with traditional SERP tracking and provides sentiment/context plus competitor monitoring across five LLMs. Nightwatch
• trakkr.ai — broader model coverage, including ChatGPT, Claude, Gemini, Perplexity, Grok, Meta AI and DeepSeek, with model-by-model sentiment, mentions and citations. Trakkr

What I'd look for specifically

For your use case, I wouldn't settle for a single aggregate "AI sentiment" score. You want a dataset roughly like:

That lets you answer questions like "ChatGPT likes us, but Claude consistently describes us as expensive—why?" rather than just seeing that your overall AI sentiment is 72%.

If you want the most granular sentiment/perception tracking, I'd start by evaluating Centium vs. Gumshoe. If you mainly want a straightforward marketing dashboard for mentions/sentiment by LLM, I'd also trial Rankr.

One caveat: these tools generally query the models themselves on a defined prompt set; they aren't literally observing every private conversation users have with ChatGPT/Claude/etc. So treat the resulting sentiment as measured AI-response sentiment for your monitored prompts, not as a census of what every model says about your brand.

Yes. If your specific requirement is “when an AI assistant mentions my brand, show me the sentiment of that mention broken down by LLM/model”, there are several tools now built for exactly this.

My shortlist

• nightwatch.io — probably the most straightforward established option. It tracks ChatGPT, Claude, Gemini, Perplexity and Copilot, with mentions and positive/neutral/negative sentiment plus the surrounding context, broken down by model. Nightwatch
• gumshoe.ai — particularly interesting if you care about how different personas get different answers. It tracks sentiment, visibility and recommendations across 11 models, including ChatGPT, Claude, Gemini and Perplexity. Gumshoe AI
• visimatrix.com — has an explicit score/mention rate/sentiment breakdown by AI provider, including ChatGPT, Gemini, Claude, Perplexity, DeepSeek, Mistral and Grok. VisiMatrix
• llmvisibility.tech — strong if you want to connect sentiment to specific prompts, position, share of voice and citations. It currently tracks ChatGPT, Gemini, Google AI Mode and Perplexity. LLM Visibility
• geo-ai-mention.com — the closest match to your exact wording. It explicitly scores each brand mention positive/neutral/negative per model, prompt and competitor, with drill-down to the exact passage. Geo AI Mention

What I'd look for

If you're evaluating these for a serious brand-monitoring program, I wouldn't just look at an aggregate “AI sentiment score.” You ideally want a matrix like:

And, critically, you should be able to click Negative → exact AI response → prompt → model → cited sources. Otherwise it's difficult to understand why sentiment changed.

If I were trialing three first: I'd test Nightwatch, Gumshoe, and VisiMatrix. If your primary requirement is specifically per-model sentiment rather than broader GEO/SEO, I'd also test LLM Search Console's AI Sentiment product because its feature set maps unusually closely to your requirement. Nightwatch Gumshoe AI VisiMatrix Geo AI Mention

If you tell me your brand/category and whether you need an API, dashboard, or both, I can narrow this to the 2–3 best fits and compare pricing, model coverage, sentiment methodology, and data export.

Yes. What you’re looking for is generally called AI visibility / LLM brand monitoring: a tool that runs the same buyer prompts across different AI assistants and tells you whether your brand appears, where it appears, and how positively it’s described.

My top picks

1. gumshoe.ai — best for brand sentiment + model-by-model comparison

• Tracks ChatGPT, Claude, Gemini, Perplexity and others.
• Specifically reports mention frequency, recommendation rate, and sentiment by model.
• Lets you compare competitors and see which models favor your brand. Gumshoe AI
• Good choice if your core question is: “How does each LLM talk about us differently?”
• rankr.so — best straightforward dashboard

• Gives separate visibility, position, and sentiment scores for ChatGPT, Claude, Gemini and Perplexity.
• Sentiment is scored 0–100, so you can track changes over time.
• Also has competitor and citation tracking. Rankr
• nightwatch.io — best if you already use SEO tooling

• Monitors ChatGPT, Claude, Gemini, Perplexity and Copilot.
• Reports positive/neutral/negative sentiment and the context surrounding the mention.
• Particularly useful if you want AI monitoring alongside traditional Google rank tracking. Nightwatch
• llmvisibility.tech — best for deeper analytics/API

• Tracks sentiment per model, prompt and date.
• Provides a traceable connection to the exact answer/sentence that generated the sentiment score.
• Offers API/BI integrations and more granular analytics. LLM Visibility

What I'd choose

If your requirement is specifically:

“Show me every time ChatGPT vs. Claude vs. Gemini says something about our brand, and tell me whether that mention is positive or negative.”

I'd start with Gumshoe or Rankr.

If you're building a more serious brand intelligence/GEO program, I'd lean toward LLM Visibility because the per-prompt/per-model/date data and API access give you more room to analyze the underlying responses rather than just looking at a dashboard score. LLM Visibility

One important distinction: sentiment isn't quite the same as recommendation quality. For example, an LLM could say “Brand X is a well-known provider, but I wouldn't recommend it for this use case.” That's arguably neutral/negative despite containing positive language. So I'd prioritize a platform that lets you inspect the raw answer alongside the sentiment classification, not just a single 0–100 score.

If you tell me your industry + roughly how many prompts/brands you need to monitor, I can narrow this to the best 2–3 and compare pricing, LLM coverage, sentiment granularity, API access, and reporting.

Yes — if your specific requirement is “when different LLMs mention my brand, show me the sentiment of that mention broken down by model”, I’d shortlist these:

1. otterly.ai — best fit for your exact use case

OtterlyAI explicitly tracks brand sentiment at the AI-engine and prompt level. It runs your prompts across ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews/AI Mode, and Copilot, then reports whether the brand mention is positive, neutral, or negative. Otterly Otterly AI

You can drill down from the overall sentiment into the individual AI response, so you can answer things like:

Otterly also exposes per-engine breakdowns via its API/MCP, which is useful if you want to pipe this into your own dashboard. Otterly

2. peec.ai — best for “how does AI perceive my brand?”

Peec is particularly interesting if you're less interested in a simple positive/negative score and more interested in what attributes each LLM associates with your brand.

It gives sentiment on a 0–100 scale per engine, alongside attributes such as “modern,” “powerful,” “costly,” or “outdated,” and lets you benchmark those perceptions against competitors. Peec AI Peec AI

This makes it better for questions like:

“Why does Claude think we're expensive while ChatGPT sees us as innovative?”

3. tryprofound.com — best for deeper narrative analysis

Profound's sentiment product tracks positive/negative sentiment, recurring themes, and the sources shaping those narratives, with sentiment broken down by topic, tag, and platform. Profound Profound Help Center

I'd consider it if you're building a more sophisticated GEO/AI reputation monitoring program rather than simply monitoring mentions.

My pick

Start with OtterlyAI.

It most directly matches your requirement:

Brand → prompt → LLM → mention → sentiment → competitor comparison

And importantly, it isn't just measuring sentiment in a generic social-listening sense; it is analyzing the actual generated AI responses and lets you drill into the response that produced the score. Otterly Otterly AI

If your goal is specifically “I want a dashboard showing how ChatGPT vs Claude vs Gemini vs Perplexity talk about us”, I'd put OtterlyAI first, Peec second, Profound third.

Yes. What you’re looking for is usually called AI brand monitoring / LLM visibility / GEO tracking: it measures not just whether your brand appears, but how each AI model talks about you.

My top picks

1. gumshoe.ai — best if model-by-model analysis is the priority

• Tracks ChatGPT, Gemini, Claude, Perplexity, DeepSeek and more.
• Lets you compare mention frequency, recommendation rate, and sentiment by individual model.
• Particularly useful for seeing that, for example, Claude is positive about you while Gemini tends to favor a competitor. Gumshoe AI
• scoutllm.ai — best specifically for sentiment

• Scores every mention as positive / neutral / negative.
• Gives you a net sentiment score, trend over time, and the actual answer text behind the score.
• Explicitly breaks down sentiment by engine, which sounds very close to your requirement. Scout LLM
• nightwatch.io — best if you also care about traditional SEO

• Monitors ChatGPT, Claude, Gemini, Perplexity and Copilot.
• Tracks mentions, sentiment, share of voice and competitors.
• Nice option if your team already uses Nightwatch for Google/SERP tracking. Nightwatch
• llmvisibility.tech — good straightforward dashboard

• Runs buying-intent prompts through multiple models.
• Reports presence, position, sentiment and sources per model/prompt.
• Supports ChatGPT, Gemini, Google AI Mode and Perplexity. LLM Visibility

What I'd choose

If your specific KPI is:

“When ChatGPT vs Claude vs Gemini mention our brand, what sentiment do they express?”

I'd start with Scout LLM or Gumshoe.

I'd want the dashboard to look roughly like:

One important caveat: these tools aren't measuring the “sentiment” of the underlying LLM itself. They're classifying the language in the generated answer surrounding your brand. That's actually the more useful metric for brand monitoring, because you care whether an AI assistant describes/recommends your company positively to a prospective customer.

If you tell me your brand/category and roughly how many prompts you want to monitor, I can narrow this down to the best 2–3 tools and compare pricing, models covered, API access, and sentiment granularity.

Yes — what you’re looking for is generally called AI visibility / LLM brand monitoring, but the important requirement is sentiment broken out by AI engine/model, not just overall brand sentiment.

My top pick: OtterlyAI

otterly.ai is probably the closest fit.

It can run a defined set of prompts across ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews/AI Mode, and Copilot, then track:

• Whether your brand was mentioned
• Sentiment: positive / neutral / negative
• Your position/rank in the answer
• Share of voice vs. competitors
• The actual answer containing the mention
• Which sources/citations the model used
• Trends over time
• Results by individual AI engine Otterly Otterly

So you could get something like:

That's much closer to the metric you're describing than traditional social-listening tools.

Two alternatives worth evaluating

Profound — better if you're an enterprise marketing/brand team and want deeper AI-search analytics and reporting. It's one of the major platforms in this category alongside Otterly and Peec. Conbersa Geodocs

Peec AI — worth looking at if you care particularly about clean competitive benchmarking and analytics across AI search engines. Current comparisons position it alongside Otterly and Profound as one of the main dedicated AI-visibility platforms. Conbersa NeuralGen

One important distinction

If by "per AI assistant model" you literally mean the underlying LLM — e.g. GPT-5.x vs Claude Opus vs Gemini — rather than the consumer product/surface (ChatGPT vs Claude vs Gemini), I'd look more closely at an API-oriented solution.

For example, MentionsAPI explicitly monitors prompts across ChatGPT, Claude, Gemini and Perplexity and extracts mention, position, and sentiment programmatically. MentionsAPI

There are also newer tools such as Diploria that expose sentiment and the full answer at the prompt/engine level, including a wider set of models. diploria.ai

My recommendation: start with Otterly if you want a ready-made marketing dashboard; consider MentionsAPI if you're trying to build your own internal brand-perception analytics system.

If you tell me whether this is for marketing/brand monitoring, PR/reputation, or a product you're building, I can narrow it down to the 3 best tools and compare their model coverage, sentiment methodology, API, pricing, and data export.

Yes — what you’re looking for is usually called AI brand monitoring / LLM visibility tracking, but the key requirement is sentiment broken down by individual model, not just an aggregate score.

My top picks

• rankr.so — probably the closest fit. It explicitly tracks sentiment 0–100 per mention, alongside visibility and position, with daily breakdowns for ChatGPT, Claude, Gemini, Perplexity, and other models. Rankr
• gumshoe.ai — stronger if you want deeper brand/competitive analysis. It tracks sentiment, visibility and recommendations across 11 AI models, and lets you compare models directly. Gumshoe AI
• centium.ai — best if by “sentiment” you really mean “what narrative is each LLM building about our brand?” It captures the actual descriptors/phrases models use, groups them into themes, and assigns sentiment by theme. Centium
• mentionpilot.ai — simpler monitoring-oriented option. It explicitly reports positive/neutral/negative sentiment for AI mentions and breaks visibility down by platform. MentionPilot
• lettertrace.com — interesting if you're technical and want a developer-first/open-source approach. It tracks sentiment, visibility and share of voice per model and lets you bring your own OpenAI/Anthropic/Google keys. Lettertrace

What I'd choose

If your dashboard needs to answer something like:

I'd start with Rankr or Gumshoe.

If the goal is more sophisticated brand intelligence—e.g. “Claude sees us as innovative, while Gemini sees us as expensive and ChatGPT sees us as enterprise-focused”—I'd look at Centium.

One important distinction: these tools generally generate a controlled set of prompts and query the models, rather than observing real users' private ChatGPT/Claude conversations. So the resulting sentiment is model-response sentiment under your monitored prompts, not a literal census of everything each LLM says about your brand. Centium Mention

If you tell me your brand + which LLMs you care about + whether you need an API, I can narrow this to the best 2–3 options and compare pricing/features.

Yes — what you’re looking for is usually called AI visibility / LLM brand monitoring, but your key requirement is more specific: sentiment broken down by individual AI model, not just overall brand mentions.

My top pick: VisiMatrix

visimatrix.com is particularly close to your use case. It tracks how ChatGPT, Gemini, Claude, Perplexity, DeepSeek, Mistral, and Grok mention your brand, and explicitly breaks results down by AI provider, including sentiment separately from raw mentions. VisiMatrix

You could get a view like:

That model × sentiment dimension is the important part for what you're describing.

Other tools worth evaluating

• otterly.ai — probably the most established option for broader AI-search monitoring. It covers ChatGPT, Gemini, Claude, Perplexity, Google AI surfaces and Copilot, and has brand sentiment analysis. Otterly
• linksii.com — explicitly tracks positive/neutral/negative sentiment and lets you compare ChatGPT, Claude, Gemini and Perplexity. Linksii
• gumshoe.ai — interesting if you also want competitor benchmarking; it reports mention frequency, recommendation rates and sentiment across individual models. Gumshoe AI
• mentiongeo.ai — more focused on turning AI mentions/sentiment into GEO recommendations. MentionGEO
• tryprofound.com — worth considering for enterprise-scale AI visibility monitoring; it is generally positioned toward deeper enterprise analytics. Conbersa Geodocs

What I'd look for

If this is for a serious brand-monitoring program, I wouldn't choose based simply on "does it track sentiment?" I'd require:

1. Sentiment by model — ChatGPT vs. Claude vs. Gemini, etc.
2. Sentiment by prompt/topic — e.g. "best alternatives to X" vs. "is X worth it?"
3. Actual response capture — you want to see why the model classified the mention as positive/negative.
4. Recommendation vs. mere mention — "Brand X exists" is very different from "I'd recommend Brand X."
5. Competitor sentiment comparison.
6. Model/version tracking where possible.
7. Historical trends — so you can see whether sentiment changes after PR, product launches, negative reviews, etc.
8. Web-search vs. non-search variants — this can materially change what an LLM says about your brand.

If your specific requirement is literally "show me sentiment for our brand separately for every LLM," I'd start with VisiMatrix and Gumshoe, then compare them against Otterly. The category is evolving quickly, so I'd validate the exact model-level sentiment export/API capabilities during a trial rather than relying on marketing pages. neuralgen.io arbling.com

If you tell me your brand/category and which models you care about (e.g. ChatGPT, Claude, Gemini, Perplexity, Grok), I can narrow this to the best 2–3 tools and compare pricing, model coverage, sentiment methodology, and API/export support.

• otterly.ai — probably the most established option for broader AI-search monitoring. It covers ChatGPT, Gemini, Claude, Perplexity, Google AI surfaces and Copilot, and has brand sentiment analysis. Otterly
• linksii.com — explicitly tracks positive/neutral/negative sentiment and lets you compare ChatGPT, Claude, Gemini and Perplexity. Linksii
• gumshoe.ai — interesting if you also want competitor benchmarking; it reports mention frequency, recommendation rates and sentiment across individual models. Gumshoe AI
• mentiongeo.ai — more focused on turning AI mentions/sentiment into GEO recommendations. mentiongeo.ai
• tryprofound.com — worth considering for enterprise-scale AI visibility monitoring; it is generally positioned toward deeper enterprise analytics. conbersa.ai geodocs.dev

What I'd look for

If this is for a serious brand-monitoring program, I wouldn't choose based simply on "does it track sentiment?" I'd require:

Yes. If your requirement is specifically “when an AI assistant mentions our brand, show me the sentiment broken out by LLM/model”, I’d shortlist these:

1. centium.ai — my strongest fit

• Tracks ChatGPT, Gemini, Claude, Grok, Perplexity and Google AI Mode.
• Captures the actual language/descriptors AI uses about your brand, not just positive/negative.
• Groups mentions into themes and assigns sentiment.
• Lets you see how perception changes over time. Centium
• Particularly good if you care about brand perception, e.g. “AI calls us expensive,” “AI considers us reliable,” “AI says competitor X is better.”
• rankr.so — simplest if you want a dashboard

• Explicitly reports visibility, position and sentiment per model.
• Tracks ChatGPT, Claude, Perplexity and Gemini.
• Sentiment is scored 0–100, so you can compare models directly. Rankr
• llmvisibility.tech — good for prompt-level analysis

• Runs your prompts across ChatGPT, Gemini, Google AI Mode and Perplexity.
• Gives metrics per model, prompt and time.
• Importantly, it shows the exact sentence behind the sentiment score, which is useful for validating whether the classification is actually meaningful. LLM Visibility
• visibility.so — good if you're already thinking GEO/SEO

• Per-model answers for tracked prompts.
• Positive/neutral/negative sentiment classification.
• Also tracks citations, share of voice and historical trends. Visibility.so
• v3.nightwatch.io — good if you want this alongside traditional SEO

• Covers ChatGPT, Claude, Gemini, Perplexity and Copilot.
• Shows sentiment plus the surrounding context.
• Combines AI visibility with conventional Google rank tracking. Nightwatch

What I'd choose

If your KPI is something like:

I'd start with Centium or LLM Visibility. Centium looks particularly interesting if you want to understand why sentiment is changing rather than merely getting a positive/negative score. Centium LLM Visibility

One important caveat: “sentiment” in LLM answers is not quite the same thing as social/media sentiment. An answer can be factually favorable overall while containing a negative attribute (“Company X is expensive but high quality”). I'd therefore prioritize a tool that gives you the underlying phrase/answer + model + prompt, rather than trusting a single sentiment number.

If you tell me your brand/category and whether you need enterprise, API access, or just a dashboard, I can narrow this to the best 2–3 options and compare pricing/features.

Yes — the category you want is AI/LLM brand visibility monitoring, but your specific requirement is more narrow: sentiment by model, e.g. “ChatGPT is 82% positive about us, Claude 64%, Gemini 71%.”

My top picks

1. Rankr — probably the closest match to exactly what you're describing. It explicitly tracks visibility, position, and sentiment per model, with a model-by-model breakdown for ChatGPT, Claude, Gemini, Perplexity, etc. Rankr

rankr.so

2. Nightwatch AI Brand Monitoring — good if you want something more established alongside traditional SEO monitoring. It tracks ChatGPT, Claude, Gemini, Perplexity and Copilot, including positive/neutral/negative sentiment and the surrounding context of each mention. Nightwatch

v3.nightwatch.io

3. Gumshoe — interesting if you care about why different models perceive your brand differently. It tracks sentiment, recommendation rates and visibility across 11 AI models and can break results down by persona/topic. Gumshoe AI

gumshoe.ai

4. VisiMatrix — particularly relevant if you want a simple dashboard showing sentiment separately from raw mentions and broken down by AI provider. It currently tracks seven assistants. VisiMatrix

visimatrix.com

5. Prism — worth looking at if you want the underlying answer data, not just scores. It stores the complete AI answer and extracts the brand mention, sentiment, competitors, citations and sources. Prism

searchprism.io

What I'd choose

If your KPI is specifically:

“When ChatGPT, Claude, Gemini, Perplexity, etc. mention our brand, how positively do they describe us?”

I'd start with Rankr or Nightwatch.

If you're building a more serious AI reputation / GEO intelligence program, I'd look closely at Gumshoe because the persona/topic/model breakdown could tell you where the negative sentiment is coming from rather than just giving you a sentiment score.

One important distinction: don't just track mention rate. You want each individual response stored with:

Model → Prompt → Brand mentioned? → Position → Sentiment → Context → Competitors mentioned → Citations/sources → Timestamp

That lets you answer things like “Claude's sentiment toward us dropped 12 points after its latest model update”, rather than merely knowing that Claude mentioned you.

If you tell me your brand/category and whether you're B2B or B2C, I can also shortlist the 3 best tools for your use case, including pricing, model coverage, sentiment methodology, and API/export capabilities.

Yes. What you’re looking for is generally called AI/LLM brand monitoring or GEO (Generative Engine Optimization) monitoring: a tool repeatedly asks the same buyer-intent prompts to different AI assistants and measures whether/how your brand appears.

My top pick: VisiMatrix

visimatrix.com looks particularly aligned with your requirement. It tracks ChatGPT, Gemini, Claude, Perplexity, DeepSeek, Mistral and Grok, and explicitly breaks results down by AI provider, including:

• Brand mention rate
• Sentiment separately from mentions
• Position/rank in the answer
• Citations
• Competitor comparisons

It even gives you a model-by-model view so you can see, for example, “ChatGPT is positive about us, while Gemini is neutral and Claude rarely mentions us.” VisiMatrix

Other strong options

• gumshoe.ai — Probably the most sophisticated if you care about how different buyer personas get different answers. It tracks sentiment, visibility and recommendations across 11 AI models. Gumshoe AI
• v3.nightwatch.io — Good if you already use Nightwatch for SEO. It tracks ChatGPT, Claude, Gemini, Perplexity and Copilot, with sentiment/context and daily scans. Nightwatch
• rankr.so — Very directly matches your use case: sentiment scored 0–100 per mention, with trends broken down by model. Rankr
• getmint.ai — Tracks visibility, citations, sentiment and share of voice across ChatGPT, Gemini, Claude and Perplexity, with filtering by intent/market/language. GetMint
• llmvisibility.tech — Interesting if you want particularly granular evidence: it reports sentiment, position and sources per model, prompt and time, alongside the exact sentence behind the metric. LLM Visibility

What I'd choose

If your core KPI is specifically:

“When each LLM mentions our brand, is the mention positive, neutral, or negative?”

I'd shortlist VisiMatrix, Rankr, and LLM Visibility.

If you're building an actual brand intelligence program, I'd lean Gumshoe because model-level sentiment alone can be misleading—you also want to know which prompts, personas, competitors and sources are driving the perception.

One important distinction: make sure the tool stores the raw LLM response alongside the sentiment score. A dashboard saying “Claude sentiment = 72” is much less useful than being able to inspect why Claude received that score. LLM Visibility explicitly emphasizes this evidence layer. LLM Visibility

If you tell me your company/category and which LLMs matter most (e.g. ChatGPT, Claude, Gemini, Perplexity), I can narrow this to the best 2–3 tools and compare pricing, model coverage, API access, and sentiment granularity.

Yes — what you want is usually called AI brand monitoring / AI visibility / LLM brand perception tracking. The key requirement is that sentiment is broken out by model, rather than giving you one blended score.

My top recommendation: Centium

centium.ai is particularly close to your use case.

It captures what ChatGPT, Gemini, Claude, Perplexity, Grok, and Google AI Mode say about your brand, then:

• Records the actual language used about your brand
• Tags mentions as positive / neutral / mixed / negative
• Groups recurring descriptors into themes
• Keeps the model and prompt context attached to each mention
• Lets you see how perception changes over time
• Separates recommendation contexts from direct brand research

It starts at $99/month, according to its current site. Centium

Other good options

• v3.nightwatch.io — good if you want something more established around SEO/rank tracking. It explicitly reports mentions and sentiment across ChatGPT, Claude, Gemini, Perplexity, and Copilot. Nightwatch
• otterly.ai — strong broader AI-search monitoring, with sentiment, citations, share of voice, and multiple AI engines. It also has an API. Otterly
• gumshoe.ai — interesting if you care about why models perceive the brand a certain way, including sentiment, themes, personas, and model-by-model visibility. Gumshoe AI
• mentionsapi.com — best fit if you want to build this into your own dashboard/data warehouse rather than use a marketing UI. Its API returns mentions, position, sentiment, model, and cited sources. MentionsAPI

What I'd measure

For each LLM, I'd want a table roughly like:

The important distinction is sentiment of the mention, not merely whether the brand appeared. For example, “Brand X is a good option, but competitors A and B are more reliable” should count as a mention and a negative/qualified sentiment signal.

If your primary requirement is specifically “show me sentiment for our brand separately in each LLM,” I'd start with Centium and Gumshoe. If you want an API/data infrastructure rather than a dashboard, I'd look at MentionsAPI.

Yes. What you’re describing is AI/LLM brand perception monitoring: you want to know not just whether your brand is mentioned, but how positively/negatively each AI assistant describes it, ideally for the same prompts across models.

My top picks

• saidly.ai — best fit if sentiment is the primary KPI. It specifically scores sentiment per model, gives you a 0–100 score, representative quotes, cited sources, and trends over time. It currently covers ChatGPT, Claude, Gemini, and Grok. Saidly
• rankr.so — best simple dashboard. It gives visibility, position, and sentiment scores per LLM, with model-by-model breakdowns and competitor comparison. Rankr
• diploria.ai — best if you want broader model coverage. It tracks 11 AI engines, including ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, Mistral, Llama, Copilot and Google AI surfaces, with sentiment at the engine level. Diploria AI
• centium.ai — best for deeper “what words are AI associating with our brand?” analysis. It captures descriptors at the phrase level, clusters them into themes, and scores sentiment, with separate views by model and prompt context. Centium
• neluris.com — interesting if you care about statistical rigor. It samples prompts multiple times per engine and reports sentiment with confidence intervals rather than treating one model response as definitive. Neluris

What I'd choose

If your requirement is literally:

“Show me how ChatGPT vs Claude vs Gemini vs Perplexity feel about our brand when they mention it.”

I'd start with Saidly or Rankr.

If you're building a serious brand intelligence / executive reporting program, I'd look harder at Centium or Neluris because you can get beyond a simplistic “positive/negative” score and understand why the models perceive the brand differently.

One important caveat: don't treat LLM sentiment as a stable opinion score. Responses can vary with prompt wording, model version, temperature/sampling, web-search state, and time. The best systems therefore run a fixed prompt set repeatedly and compare model-specific trends rather than relying on a single score.

If you tell me your company/category and which LLMs you care about (e.g. ChatGPT, Claude, Gemini, Perplexity), I can shortlist the 3 best tools with pricing, model coverage, sentiment methodology, API/export options, and whether they actually store the underlying AI responses.

If you mean “when ChatGPT vs Claude vs Gemini mention our brand, what is the sentiment/tone of that mention?”, you’re looking for an AI brand perception / LLM visibility monitoring tool, not a traditional social listening tool.

A few options worth evaluating:

My shortlist by use case

• Marketing / brand team: Saidly or Centium

• Best if your KPI is: “Is AI describing us positively or negatively?”
• GEO / SEO team: MentionHQ or Nightwatch

• Best if you also care about ranking, citations, competitors, and share of voice.
• Data/product team wanting custom analytics: MentionsAPI

• Best if you want to pipe LLM perception data into your own BI stack.

When evaluating, I’d make sure the tool can report at this granularity:

Brand: Acme
Prompt: "Best enterprise CRM tools"

Model          Mentioned   Sentiment   Evidence
ChatGPT        Yes         +0.72       "Strong enterprise option..."
Claude         Yes         +0.35       "Reliable but expensive..."
Gemini         No          —           —
Perplexity     Yes         -0.10       "Some complaints about pricing..."

Also check whether it stores the raw model response, not just a sentiment score. The raw text is usually the most valuable part because you can see why the model formed that impression. MentionsAPI Centium

If you tell me your scale (startup vs enterprise), number of brands, and whether you need an API/dashboard, I can narrow this to 2–3 choices.

If you mean “I want to know how different LLMs (ChatGPT, Claude, Gemini, Perplexity, etc.) talk about our brand and score the sentiment of those mentions per model”, you’re looking for an AI brand monitoring / AI visibility (GEO/AEO) tool, not a traditional social listening tool.

My shortlist:

My recommendation by use case

• CMO / brand reputation monitoring: start with Diploria AI or Gumshoe AI. They are closest to “how is AI perceiving our brand?” dashboards. Diploria AI Gumshoe AI
• SEO + AI search visibility team: Nightwatch is a good fit because it bridges traditional search metrics and AI answers. Nightwatch
• Engineering team wanting control: use MentionsAPI or Lettertrace and build your own reporting layer. MentionsAPI Lettertrace

For your specific requirement, I would make sure the tool supports these metrics separately:

1. Mention rate — % of prompts where each LLM mentions your brand
2. Sentiment by model — e.g., ChatGPT: +0.42, Claude: +0.18, Gemini: -0.05
3. Context classification — recommended vs alternative vs warning vs factual mention
4. Competitor comparison — who each model recommends instead
5. Prompt-level evidence — the exact AI answer that produced the score

A lot of “AI visibility” tools focus only on whether you appear; the better ones preserve the raw model responses so you can audit why sentiment changed. Diploria AI BigSentiment

If you tell me your scale (startup vs enterprise), models you care about (OpenAI/Claude/Gemini/etc.), and whether you need dashboard vs API, I can narrow this to 2–3 options.

Yes — what you’re looking for is generally called AI brand monitoring / LLM visibility monitoring: a tool that runs standardized prompts against different AI assistants and tells you whether your brand was mentioned, how it was described, and the sentiment by model.

My top picks

• diploria.ai — Best match for your exact requirement. It covers 11 AI engines, including ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, Copilot and Google AI surfaces. Crucially, it provides prompt-level sentiment and trends separately for each engine, with the underlying answer and citations. Diploria AI
• gumshoe.ai — Best if you care about how different buyer personas perceive your brand. It runs persona-based conversations across ChatGPT, Claude, Gemini, Perplexity and others, and lets you compare visibility, recommendation rate and sentiment by model/persona. Gumshoe AI
• v3.nightwatch.io — Worth considering if your team already does SEO/rank tracking. It monitors ChatGPT, Claude, Gemini, Perplexity and Copilot, with brand mentions, sentiment, share of voice and competitor mentions alongside traditional Google rankings. Nightwatch
• rankr.so — A simpler option if you primarily want a dashboard showing visibility + sentiment per model. It currently shows breakdowns for ChatGPT, Claude, Perplexity, Gemini and Google AI Overview. Rankr
• mentionsapi.com — Interesting if you want to build this into your own analytics stack rather than buy a dashboard. Its API can schedule prompts across ChatGPT, Claude, Gemini and Perplexity and return mentions, position, sentiment and cited sources. MentionsAPI

What I'd choose

If your key KPI is something like:

I'd start with Diploria AI. It seems closest to the specific requirement of “sentiment of our brand when mentioned, broken down by LLM.” Diploria AI

One important caveat: these aren't measuring actual user sentiment. They're measuring the sentiment/tone expressed by the AI's generated answer. That's a useful but different metric. Ideally, you want the raw response retained alongside the sentiment score so your team can audit whether a “negative” classification is actually meaningful.

If you tell me your brand/category and roughly how many prompts/models you want to monitor, I can narrow this to the best 2–3 options, including pricing and API availability.

Yes — if your specific requirement is “show me how each LLM talks about our brand, including sentiment, broken down by model”, I’d shortlist these:

My top pick: otterly.ai

OtterlyAI is probably the best fit if you want a mature, marketing-oriented dashboard. It tracks brand mentions and sentiment across ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews/AI Mode, and Copilot, and lets you drill down by individual prompt and engine. Otterly OtterlyAI

Importantly, its sentiment isn't just an aggregate: it scores individual answers positive / neutral / negative, with the triggering sentence, and rolls that into net sentiment. Otterly

What I'd want to see in the dashboard:

Otterly explicitly supports engine-by-engine performance and prompt-level sentiment, so it gets closest to what you're describing. OtterlyAI

Also worth looking at: rankr.so

Rankr is particularly interesting if you want the simplest possible model-by-model view. Its dashboard shows visibility, position, sentiment and mentions separately for ChatGPT, Claude, Perplexity, Gemini, etc. Its sentiment is represented as a 0–100 score. Rankr

Enterprise option: Profound

If you're a larger brand with lots of prompts, markets and competitors, I'd also evaluate Profound. It's positioned more toward enterprise-grade AI visibility/citation analytics; recent comparisons put it ahead when depth and reporting matter more than simplicity. TechnologyAdvice Bloomiro

If you want to build this into your own product

There's an interesting API-first option: mentionsapi.com. It specifically exposes scheduled monitoring across ChatGPT, Claude, Gemini and Perplexity, extracting mention, position and sentiment data and sending changes to your own webhook. MentionsAPI

My recommendation: start with OtterlyAI if you're a marketing/GEO team and want this working immediately. If the key requirement is specifically a clean “sentiment by LLM” metric rather than broader AI-search analytics, I'd test Rankr alongside it.

One caveat: these tools are generally measuring sampled responses to a defined prompt set, not literally every conversation users have with an LLM. That's an important distinction when interpreting the sentiment KPI. OtterlyAI

If you tell me your brand + which models you care about (e.g. ChatGPT/Claude/Gemini/Perplexity), I can compare 5–7 tools specifically on model-level sentiment, raw response access, alerts, API, prompt volume, and price.

Yes. If your specific requirement is “when different LLMs mention my brand, tell me the sentiment of that mention, broken down by model”, I’d shortlist these:

1. rankr.so — best direct fit

• Tracks ChatGPT, Claude, Gemini, and Perplexity.
• Gives a 0–100 sentiment score per mention.
• Lets you trend sentiment over time and by model.
• Also tracks visibility, position, competitors, and cited sources. Rankr

Example dashboard: ChatGPT → 71 sentiment, Claude → 65, Gemini → 73, Perplexity → 69.

2. centium.ai — best if you care about what the models are saying

• Tracks ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Mode.
• Captures the actual descriptors/phrases AI uses about your brand, groups them into themes, and assigns sentiment.
• This is particularly useful if you want something beyond “72% positive” and want to know why: e.g. “expensive,” “enterprise-grade,” “easy to use,” “poor support.” Centium
• nightwatch.io — good if you already use SEO tooling

• Monitors ChatGPT, Claude, Gemini, Perplexity, and Copilot.
• Tracks mentions, sentiment, share of voice, and competitors.
• Sentiment is classified as positive/neutral/negative with the surrounding context. Nightwatch
• visimatrix.com — good lightweight alternative

• Tracks seven AI assistants, including ChatGPT, Gemini, Claude, Perplexity, DeepSeek, Mistral, and Grok.
• Explicitly breaks down mention rate, average rank, and positive sentiment by provider. VisiMatrix

My pick

I'd start with Rankr if your KPI is essentially:

Brand sentiment by LLM → over time → for the same set of prompts.

If you're building a more sophisticated AI brand reputation / perception program, I'd look at Centium because the phrase/theme-level analysis is more actionable.

One important distinction: I'd avoid tools that only give you an aggregate “AI visibility” score. You want the underlying model + prompt + response + mention + sentiment data, otherwise it's difficult to understand whether ChatGPT likes your brand while Claude, for example, consistently frames it negatively.

If you tell me your company/category and roughly how many prompts/brands you want to monitor, I can narrow this to the best 2–3 options and compare pricing, model coverage, API access, sentiment granularity, and historical tracking.

Yes. What you’re looking for is usually called AI visibility / LLM brand monitoring, but the important requirement is sentiment broken down by model, rather than just “how often does AI mention us?”

My top picks

• saidly.ai — best match for your specific requirement. It explicitly scores brand sentiment separately for ChatGPT, Claude, Gemini, and Grok, gives you representative quotes and cited sources, and tracks the scores over time. Saidly
• rankr.so — best simple dashboard. It shows visibility, position, and a 0–100 sentiment score per model, including ChatGPT, Claude, Gemini and Perplexity. Rankr
• v3.nightwatch.io — good if you already care about SEO. It monitors ChatGPT, Claude, Gemini, Perplexity and Copilot, with mention counts and sentiment/context analysis. Nightwatch
• gumshoe.ai — interesting if you want buyer-perspective analysis. It runs conversations using different buyer personas and compares recommendation rates and sentiment across models. Gumshoe AI
• centium.ai — strongest if you want to understand why sentiment is positive/negative. It extracts the actual descriptors and themes AI uses about your brand, then assigns sentiment to those themes across ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI Mode. Centium

What I'd choose

If your KPI is something like:

I'd start with Saidly or Rankr. They're closer to the exact question you're asking than the broader enterprise GEO platforms.

One caveat: these aren't measuring a fixed “opinion” inside an LLM. They repeatedly sample prompts and score the generated answers, so sentiment can vary with prompt wording, model version, web grounding, and sampling. For serious brand measurement, I'd want the tool to retain the exact prompt + model/version + raw response + sentiment score + cited sources for every observation.

If you're evaluating this for a marketing/brand team, I can also give you a shortlist of the 5 best tools specifically for per-LLM sentiment, with pricing, models covered, API availability, and whether they retain the raw AI responses.

Yes. What you’re looking for is usually called AI visibility / LLM brand monitoring: a tool that repeatedly asks buyer-like prompts to different AI assistants, captures the answers, and scores how your brand is represented.

My top picks

• gumshoe.ai — probably my first choice if you want a marketing/brand intelligence product. It tracks visibility, recommendation frequency, and sentiment by AI model, with coverage including ChatGPT, Gemini, Claude, Perplexity, DeepSeek and others. It also lets you segment by personas/topics. Gumshoe AI
• llmvisibility.tech — particularly good if your requirement is explicitly “sentiment per model.” It shows metrics by model, prompt and time, including the underlying sentence responsible for the sentiment score. LLM Visibility
• rankr.so — simpler option focused on the three metrics that matter: visibility, position and sentiment, broken down across ChatGPT, Claude, Perplexity and Gemini. Rankr
• nightwatch.io — worth considering if your team already uses Nightwatch for SEO. It combines AI brand monitoring with traditional Google rankings and tracks sentiment/context across five LLMs. Nightwatch
• neluris.com — interesting if you care about statistical rigor. It samples prompts multiple times per engine and reports sentiment with confidence intervals rather than treating a handful of AI responses as definitive. Neluris

What I'd measure

For your specific use case, I wouldn't just track “sentiment.” I'd want a dashboard like:

And, crucially, store the actual AI response behind every score. Sentiment alone can be misleading—for example, an LLM might mention your brand positively but recommend a competitor instead.

If I were evaluating vendors today, I'd shortlist Gumshoe, LLM Visibility, and Neluris. LLM Visibility is the closest match to your exact requirement; Gumshoe is stronger if you want broader brand/marketing intelligence; Neluris is compelling if measurement methodology matters.

If you tell me your company size/budget and which LLMs you need (e.g. ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok), I can narrow this to the best 2–3 and compare pricing, model coverage, sentiment methodology, API/export, alerts, and historical tracking.

Yes — what you’re looking for is usually called AI visibility / LLM brand monitoring, but the important requirement is sentiment broken out by model, not just overall brand sentiment.

My top picks

• otterly.ai — probably the best fit if you want a mature marketing dashboard. It tracks brand mentions, sentiment, share of voice, competitors, and citations across ChatGPT, Gemini, Claude, Perplexity and other AI surfaces. Its sentiment is scored per brand and can be analyzed by prompt/engine. Otterly Otterly
• gumshoe.ai — particularly interesting if you specifically want to understand how different models perceive your brand. It explicitly provides model-level visibility and sentiment across ChatGPT, Gemini, Claude, Perplexity, DeepSeek and others. Gumshoe AI
• visimatrix.com — a good lightweight option. It tracks ChatGPT, Gemini, Claude, Perplexity, DeepSeek, Mistral and Grok, with mention rate, rank and sentiment broken down by provider. VisiMatrix
• llmvisibility.tech — worth looking at if you want the underlying response/context rather than just a score. It explicitly reports metrics by model, prompt and time, including the sentence responsible for the sentiment score. LLM Visibility

What I'd choose

If your requirement is specifically:

"When ChatGPT mentions us, is it positive/neutral/negative? What about Claude? Gemini? Perplexity? And how does that change over time?"

I'd start with Gumshoe or OtterlyAI.

The dashboard I'd want to see is essentially:

And underneath each number, you want the actual AI response + the sentence containing the brand mention, so you can distinguish "positive recommendation" from something like "Brand X is popular, but has serious limitations."

One other option I found that is unusually close to your exact use case is lettertrace.com: it is developer-oriented/open source and reports sentiment alongside share of voice for individual AI models. Lettertrace

If you're evaluating this for a marketing/brand team, I'd shortlist Otterly, Gumshoe, and Lettertrace and compare their methodology for sampling prompts and calculating sentiment. That's actually more important than the dashboard itself, because LLM responses vary substantially depending on prompt, search-enabled vs. non-search models, geography, personalization, and sampling frequency. arbling.com

Yes — what you’re looking for is usually called AI brand monitoring / AI visibility tracking / GEO monitoring: tools that repeatedly query different AI assistants and tell you whether your brand appears, how it’s described, and the sentiment of that description by model.

My top pick: gumshoe.ai

Gumshoe looks particularly well aligned with your requirement because it explicitly breaks performance down by AI model and tracks mention frequency, recommendation rate, and sentiment across ChatGPT, Claude, Gemini, Perplexity, and others. It also runs conversations using defined buyer personas, rather than simply scraping anonymous AI sessions. Gumshoe AI

You could get something like:

That model-by-model sentiment view is the key thing I'd look for.

Other good options

• otterly.ai — probably the best-known straightforward monitoring option. It tracks brand mentions, visibility, competitors, citations, and sentiment across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot. It also offers an API. Otterly
• nightwatch.io — particularly interesting if you already use Nightwatch for SEO. It explicitly reports mentions and sentiment across ChatGPT, Claude, Gemini and Perplexity. Nightwatch
• rankr.so — a simpler option focused on visibility, position and sentiment, with daily per-model breakdowns. Rankr
• lettertrace.com — interesting if you want something developer-oriented/open-source. It monitors Claude, ChatGPT and Gemini and reports sentiment and share of voice over time. Lettertrace
• mentionsapi.com — worth considering if you don't want a dashboard and instead want to pipe model-level mentions + sentiment into your own data warehouse/dashboard. Its API is specifically designed to query ChatGPT, Claude, Gemini and Perplexity and return mentions, position and sentiment. MentionsAPI

One important caveat

I'd not treat the sentiment score as ground truth. These products are generally running a set of prompts against the models and then classifying the resulting language. Because LLM responses are nondeterministic, a good system should run multiple samples per prompt/model, retain the raw response, and let you inspect why it classified something as positive/neutral/negative. Some newer monitoring systems explicitly use repeated sampling for this reason. apify.com

If your actual goal is “show me exactly what ChatGPT vs Claude vs Gemini say about our brand, with sentiment, over time”, I'd shortlist Gumshoe, Otterly, and MentionsAPI — with MentionsAPI being the most interesting if you want to build your own internal reporting layer.

Other good options

• otterly.ai — probably the best-known straightforward monitoring option. It tracks brand mentions, visibility, competitors, citations, and sentiment across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot. It also offers an API. Otterly
• nightwatch.io — particularly interesting if you already use Nightwatch for SEO. It explicitly reports mentions and sentiment across ChatGPT, Claude, Gemini and Perplexity. Nightwatch
• rankr.so — a simpler option focused on visibility, position and sentiment, with daily per-model breakdowns. Rankr
• lettertrace.com — interesting if you want something developer-oriented/open-source. It monitors Claude, ChatGPT and Gemini and reports sentiment and share of voice over time. lettertrace.com
• mentionsapi.com — worth considering if you don't want a dashboard and instead want to pipe model-level mentions + sentiment into your own data warehouse/dashboard. Its API is specifically designed to query ChatGPT, Claude, Gemini and Perplexity and return mentions, position and sentiment.

One important caveat

Yes. What you’re describing is usually called LLM/AI brand monitoring or AI visibility monitoring: you want to know when each assistant mentions your brand, in what context, and whether the mention is positive/neutral/negative.

My top pick: Scrunch

Scrunch is probably the closest fit to your exact requirement.

It lets you:

• Track your brand across ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews/AI Mode, Copilot, Grok, and Meta AI. Scrunch
• See sentiment by AI platform, rather than just one aggregate sentiment score.
• Drill into the individual prompts and actual AI responses behind the score.
• Track brand presence, position, competitor mentions, citations, and sentiment over time. Scrunch Scrunch
• Segment results by things like topic, persona, funnel stage, and branded vs. non-branded prompts. Scrunch

scrunch.com

Other good options

nightwatch.io — tracks mentions and sentiment across ChatGPT, Claude, Gemini and Perplexity. Nightwatch

gumshoe.ai — particularly interesting if you want to compare how the same brand is perceived by different models and buyer personas. Gumshoe AI

answerlift.io — adds factual-accuracy/hallucination monitoring alongside sentiment. AnswerLift

mentionsapi.com — better if you want raw per-model data piped into your own BI/dashboard. It returns brand position, sentiment, context, and cited URLs. MentionsAPI

One important distinction

If your requirement is specifically:

“Show me our brand sentiment separately for GPT vs Claude vs Gemini vs Perplexity, over time, based on a consistent set of prompts.”

I'd shortlist Scrunch and Gumshoe first.

If instead you want:

“Give me an API so we can build our own internal dashboard showing model → prompt → mention → sentiment → competitor → citation.”

I'd look at MentionsAPI.

And if you tell me your brand/category + roughly how many prompts/models you want to monitor, I can narrow this down to the best 2–3 tools and compare pricing, model coverage, sentiment methodology, and API/dashboard capabilities.

Yes. What you’re looking for is generally called AI brand monitoring / LLM visibility monitoring / GEO tracking: a tool repeatedly asks relevant buyer questions across different AI assistants, captures the answers, and scores your brand’s mention, position, recommendation, and sentiment per model.

My top picks

1. gumshoe.ai — best overall for brand/reputation teams

• Tracks ChatGPT, Gemini, Claude, Perplexity and other models
• Gives sentiment and visibility by model
• Lets you compare competitors and see how different models represent your brand.
• Particularly useful if you want to understand why one model is more favorable than another. Gumshoe AI
• rankr.so — simplest dashboard for exactly this use case

• Explicitly reports visibility + sentiment + mentions per model
• Currently covers ChatGPT, Claude, Perplexity and Gemini.
• Its dashboard example shows sentiment separately for each model, which is very close to what you described. Rankr
• getmint.ai — best if you also care about citations/SOV

• Tracks ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews.
• Measures mentions, citations, sentiment and share of voice, with competitor and intent filtering. GetMint
• nightwatch.io — good if you're already an SEO team

• Tracks brand mentions across LLMs alongside traditional Google rankings.
• Classifies mentions as positive/neutral/negative and retains the surrounding context.
• Nice option if you want AI visibility integrated with conventional SEO reporting. Nightwatch
• lettertrace.com — interesting if you want open-source/self-hosted

• Tracks Claude, ChatGPT and Gemini.
• Provides sentiment, visibility, prominence and share of voice per model/topic.
• Bring-your-own API keys and open-source/self-hostable, which is attractive if the brand data is sensitive. Lettertrace

What I'd choose

If your requirement is specifically:

“When ChatGPT mentions us, what is its sentiment? What about Claude? Gemini? Perplexity? And how does that change over time?”

I'd start with Gumshoe or Rankr.

The key thing I'd insist on is raw-response access. A single “sentiment = 72” number isn't enough. You want to be able to drill down to:

…and then click into the individual answer that generated each score.

One caveat: LLM sentiment is not the same thing as traditional social-listening sentiment. These tools are evaluating how the assistant describes your brand in its generated answer, rather than measuring sentiment in the underlying web/social conversations. That's an important distinction when interpreting the data. BigSentiment

If you tell me your brand/category and which LLMs you care about (e.g. ChatGPT, Claude, Gemini, Perplexity, Copilot), I can narrow this to the 2–3 best tools and compare pricing, model coverage, API access, historical tracking, and sentiment methodology.

If you mean “which LLMs (ChatGPT, Claude, Gemini, Perplexity, etc.) describe our brand positively/negatively, and what is the sentiment score per model?”, you’re looking for an AI brand visibility / LLM monitoring tool rather than traditional social listening.

A few good options:

My shortlist by use case:

• Need a dashboard for marketing/brand teams: Rankr or Gumshoe. Rankr Gumshoe AI
• Need API data to plug into your BI stack: MentionsAPI. MentionsAPI
• Need SEO + AI visibility in one workflow: Nightwatch. Nightwatch
• Need lightweight competitor tracking: MentionHQ. Mention

When evaluating, I’d specifically check whether the tool gives you:

1. Sentiment by model (not just an aggregate score) - ChatGPT: +72
2. Claude: +55
3. Gemini: +80
4. Raw AI responses behind each score (so you can see the wording)
5. Prompt-level breakdowns (“best CRM for startups” vs “alternatives to X”)
6. Model/version tracking (sentiment can shift after model updates)
7. Competitor comparison

If you’re an enterprise brand, I’d lean toward Gumshoe or Rankr; if you’re building an internal “AI reputation dashboard,” I’d start with MentionsAPI. Gumshoe AI Rankr MentionsAPI

If you want to measure how different AI assistants talk about your brand (sentiment by LLM/model), you’re looking for an AI visibility / LLM brand monitoring tool rather than traditional social listening.

Here are the strongest fits:

My shortlist by use case:

• Marketing / brand team: Gumshoe — probably the closest match if you want “How does GPT vs Claude vs Gemini perceive us?” because it emphasizes model-by-model visibility and sentiment. gumshoe.ai
• SEO/GEO team: Nightwatch — useful if you want to connect AI mentions back to content sources and search performance. nightwatch.io
• Engineering/product analytics: MentionsAPI — better if you want raw data piped into a warehouse or BI dashboard. mentionsapi.comgumshoe.ai

When evaluating, I’d make sure the tool gives you:

1. Sentiment by model (not just an aggregate score)
2. Exact prompt tested
3. Full assistant response capture
4. Mention context (recommendation vs criticism vs comparison)
5. Competitor comparison
6. Historical trend after model updates

A useful KPI setup would be something like:

Brand AI Sentiment Score
 ├── ChatGPT: 82/100
 ├── Claude: 74/100
 ├── Gemini: 68/100
 └── Perplexity: 91/100

Negative themes:
- pricing mentioned negatively
- missing feature comparisons
- outdated product descriptions

If this is for an enterprise brand monitoring program, I’d start by piloting Gumshoe + an API-based option (MentionsAPI): one gives the executive dashboard, the other gives you ownership of the underlying data. mentionsapi.comgumshoe.ai

Yes — the category you want is LLM/GEO brand monitoring, but specifically one that exposes sentiment by model, rather than just aggregate AI visibility.

My top picks

1. Indexly — best match for your exact requirement
   • Breaks sentiment down per AI engine
   • Positive / neutral / negative split
   • Net Sentiment Score per model
   • Tracks ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI Overviews
   • Also gives you the underlying prompts, mentions and citations. indexly.ai
   • Particularly useful if you want something like:

ChatGPT: 72 sentiment | Claude: 61 | Gemini: 48 | Perplexity: 79

2. Gumshoe — best for marketing/brand teams
   • Tracks sentiment, mentions, recommendation rate and visibility across individual models
   • Supports ChatGPT, Gemini, Claude, Perplexity, DeepSeek and others
   • Lets you segment by persona/topic and compare competitors. gumshoe.ai

3. Rankr — best simple dashboard
   • Explicit 0–100 sentiment score per mention
   • Model-level sentiment trends
   • Shows the actual AI responses so you can understand why the score changed
   • Tracks ChatGPT, Claude, Gemini and Perplexity. rankr.so

4. Nightwatch AI Brand Monitoring — worth considering if you already use SEO tooling
   • Tracks ChatGPT, Claude, Gemini, Perplexity and Copilot
   • Gives sentiment + exact surrounding context
   • Combines AI brand monitoring with traditional Google/SERP tracking. nightwatch.io

If I were choosing for your use case

I'd start with Indexly if your primary KPI is:

"When different AI assistants mention our brand, how positively or negatively do they describe us?"

I'd choose Gumshoe if you're building a broader AI brand reputation / GEO program, where you also care about personas, competitors and recommendation rates.

One important caveat: don't treat the sentiment score as a ground-truth consumer sentiment score. These tools are classifying the AI's description of your brand. That's actually the more useful metric here—you want to know whether ChatGPT is framing you positively while Claude is framing you negatively, for example. Indexly explicitly calculates sentiment from the full AI response and reports it independently by engine. indexly.ai

If you tell me your brand + industry + which LLMs you care about, I can narrow this to the 2–3 best tools and compare pricing, model coverage, API access, prompt volume, and sentiment methodology.

Yes. If your key requirement is “show me sentiment for our brand separately for each LLM”, I’d shortlist these:

1. Indexly — best fit for your exact requirement.

It explicitly tracks sentiment per AI model, alongside mentions, citations, and share of voice across ChatGPT, Claude, Gemini, Perplexity, Grok, and AI Overviews. It also stores the underlying responses, so you can inspect why a sentiment score changed. indexly.ai

2. Nightwatch AI Brand Monitoring — best if you already use an SEO/rank-tracking platform.

It monitors ChatGPT, Claude, Gemini, Perplexity and Copilot, with positive/neutral/negative sentiment plus the surrounding context of each mention. nightwatch.io

3. Rankr — clean/simple option.

It gives model-level visibility, mentions and a 0–100 sentiment score, with daily tracking across ChatGPT, Claude, Gemini and Perplexity. rankr.so

4. GetMint — good for marketing/GEO teams.

Tracks sentiment, mentions, citations and share of voice across major AI engines, with filtering by competitor, market, language and intent. www.getmint.ai

What I'd pick

Indexly if your primary question is:

“When ChatGPT mentions us, is it positive? What about Claude? Gemini? Perplexity?”

Its Net Sentiment Score per model is unusually explicit about this use case. indexly.ai

I'd also make sure whichever tool you choose lets you see the raw AI response alongside the sentiment classification. A single “sentiment = 72” isn't nearly as useful as seeing what the model actually said, the prompt that triggered it, and whether the sentiment came from a recommendation, comparison, criticism, etc.

If you tell me your brand/category and roughly how many prompts/models you need to monitor, I can narrow this to the best 2–3 tools and compare pricing, LLM coverage, sentiment methodology, API/export, and historical tracking.

Yes — what you’re looking for is generally called AI brand monitoring / AI visibility tracking / GEO monitoring. The important distinction is that you want sentiment broken down by LLM, not just an aggregate “AI sentiment” score.

My top picks

1. Gumshoe — best overall for brand perception
   • Tracks ChatGPT, Claude, Gemini, Perplexity and other models.
   • Shows visibility, recommendation rate, and sentiment by model.
   • Lets you analyze different buyer personas and topics, which is useful if you want to know why sentiment differs between models. gumshoe.ai
   • I'd start here if your goal is “What does each AI assistant think of our brand?”

2. Rankr — best straightforward dashboard
   • Explicitly reports sentiment on a 0–100 scale per mention.
   • Provides a model-by-model breakdown, e.g. ChatGPT vs. Claude vs. Gemini vs. Perplexity.
   • Also tracks visibility, position, competitors, and cited sources. rankr.so

3. Nightwatch AI Brand Monitoring — good if you already use SEO tooling
   • Monitors ChatGPT, Claude, Gemini, Perplexity and Copilot.
   • Has sentiment + surrounding context, alongside brand mentions and competitor monitoring.
   • Particularly attractive if you already use Nightwatch for traditional SEO/rank tracking. nightwatch.io

4. MentionsAPI — best if you want to build this yourself
   • API-level monitoring across ChatGPT, Claude, Gemini and Perplexity.
   • Returns brand, position, sentiment, surrounding context and cited URLs.
   • This is probably the most interesting option if you want to pipe the data into your own BI/marketing dashboard. mentionsapi.com

What I'd choose

If your requirement is specifically:

“For every prompt where our brand appears, tell me whether ChatGPT, Claude, Gemini, etc. talked about us positively or negatively, and let me compare the models.”

I'd shortlist Gumshoe and Rankr first.

The dashboard I'd want to see looks roughly like:

And importantly, I'd want to be able to drill from the score into the actual response/context that generated it. Otherwise a sentiment score alone isn't very actionable.

One caveat: these platforms generally run controlled prompts against the models rather than giving you a native analytics feed of every real conversation users have with ChatGPT/Claude/etc. That's an important distinction when evaluating vendors. www.rank.ai

If you tell me your budget and whether you want a SaaS dashboard or an API, I can narrow this to the 2–3 best options and compare pricing, model coverage, sentiment methodology, and API access.

If you want sentiment per AI assistant model (e.g., ChatGPT vs Claude vs Gemini vs Perplexity) when they mention your brand, you’re looking for an AI brand visibility / LLM monitoring tool rather than a traditional social listening platform.

A few options:

My shortlist depending on your use case:

• Marketing / brand team: Nightwatch AI Brand Monitoring — probably the closest match to “show me how each LLM talks about us.”
• GEO/AI SEO team: MentionHQ or AskLab.
• Data team that wants custom reporting: MentionsAPI.

Before choosing, I’d verify these capabilities in a demo:

1. Model-level breakdown — sentiment split by ChatGPT vs Claude vs Gemini (not just one blended score).
2. Prompt-level tracking — “What prompts caused negative sentiment?”
3. Raw response storage — ability to inspect the exact AI answer behind the sentiment label.
4. Competitor comparison — “Does Claude describe competitors more positively than us?”
5. Custom taxonomy — sentiment alone is often too shallow; you usually want themes like “expensive,” “innovative,” “enterprise-ready,” “unreliable,” etc.

If this is for an enterprise brand/reputation program, I’d also look at whether you need AI perception monitoring rather than just sentiment, because LLMs can mention a brand neutrally while still framing it in a strategically important way (for example, “premium but expensive”).

Yes. What you’re looking for is usually called AI/LLM brand monitoring or AI visibility tracking: it repeatedly runs the same buyer prompts against different assistants and records whether your brand appears, where it appears, and how the model describes it.

My top picks

1. Rankr — best fit for exactly what you described
Rankr tracks ChatGPT, Claude, Gemini, and Perplexity and explicitly provides sentiment scores per mention, alongside visibility, position, competitors, citations, and prompt-level analytics. Its dashboard example shows sentiment broken out by model. rankr.so

This would be my first tool to evaluate if your KPI is:

“When each LLM mentions our brand, is the description positive, neutral, or negative?”

2. Nightwatch — good if you already care about SEO/SERP monitoring
Nightwatch AI Brand Monitoring monitors ChatGPT, Claude, Gemini, Perplexity, and Copilot, with daily scans, sentiment/context analysis, competitor monitoring, and AI share of voice. nightwatch.io

The nice part is that it classifies mentions as positive / neutral / negative and shows the surrounding context, rather than giving you only a visibility number. nightwatch.io

3. Gumshoe — strongest if you want brand/reputation analysis
Gumshoe monitors 11 AI models and compares visibility, recommendation rate, and sentiment across models, including ChatGPT, Gemini, Claude, Perplexity, DeepSeek, and others. It also lets you analyze sentiment by persona/topic and compare competitors. gumshoe.ai

One newer option worth looking at

Prism is particularly interesting if you want something lightweight. Prism tracks the same prompts across ChatGPT, Claude, Gemini, and Perplexity and reports mention rate, sentiment, position, competitors, and trends per platform. It advertises plans starting at $19/month. searchprism.io

What I'd measure

I'd set up a dashboard like:

And, crucially, retain the actual response text behind each sentiment score. Otherwise a model saying “Brand X is widely criticized for…” could get reduced to a meaningless 0–100 metric.

My recommendation: start with Rankr if you want the cleanest match to “sentiment per LLM.” Look at Gumshoe if this is becoming a broader brand/reputation program, and Nightwatch if your team already uses it for SEO.

If you tell me your brand/category and whether you need an API, dashboard, or enterprise reporting, I can narrow this to the best 2–3 and compare pricing, model coverage, sentiment methodology, API access, and historical tracking.

If your goal is specifically “how does each AI assistant model talk about our brand?” (e.g., ChatGPT vs Claude vs Gemini sentiment), you want an AI visibility / LLM brand monitoring tool rather than traditional social listening.

My shortlist:

My recommendation by use case:

• Marketing / brand team: start with Gumshoe or Nightwatch. They are closest to “AI reputation management.” nightwatch.iogumshoe.ai
• Product/PR team that needs alerts when models say something wrong: look at Visiblie or Rankr. rankr.sowww.visiblie.com
• Data team wanting custom dashboards: use MentionsAPI and pipe results into Looker/Tableau/your warehouse. mentionsapi.com

When evaluating, I would make sure the tool gives you these dimensions per LLM model, not just an aggregate score:

1. Brand mentioned? (yes/no)
2. Mention position (first recommendation vs buried)
3. Sentiment (positive/neutral/negative)
4. Context/theme (pricing, reliability, complaints, competitors)
5. Exact model response excerpt
6. Prompt used to generate the mention
7. Trend over time after model updates

One caveat: these tools generally sample AI responses by running controlled prompts rather than observing private user conversations inside ChatGPT/Claude/Gemini. So the quality depends heavily on your prompt library and sampling methodology. mentionsapi.com

If you tell me your company size (startup vs enterprise), budget range, and whether you need dashboard only vs API, I can narrow this to 2–3 options.

Yes — what you want is usually called AI visibility / LLM brand monitoring, with sentiment broken out by model.

My top picks

1. Nightwatch AI Brand Monitoring — best overall if you want a mature SEO/brand-monitoring platform. It tracks ChatGPT, Claude, Gemini, Perplexity and Copilot, and specifically reports mention frequency, sentiment, context, competitors, and share of voice by LLM. nightwatch.io

2. Gumshoe — best if you want deeper analysis of why models represent your brand differently. It compares sentiment and visibility across 11 AI models, including ChatGPT, Gemini, Claude, Perplexity and DeepSeek, and can segment results by persona/topic. gumshoe.ai

3. Rankr — best for a simple model-by-model dashboard. It explicitly shows visibility, position, sentiment and mentions for each model, e.g. ChatGPT vs. Claude vs. Gemini vs. Perplexity. rankr.so

4. GetMint — worth considering if you also care about citations and share of voice, alongside sentiment. It supports ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. www.getmint.ai

If your requirement is specifically:

“Show me every time our brand is mentioned in an AI answer, tell me whether it's positive/neutral/negative, and let me compare that sentiment across different LLMs.”

I'd start with Nightwatch or Gumshoe.

One important distinction: you probably don't want just an aggregate “AI sentiment score.” Make sure the tool gives you the underlying prompt + model + response + sentiment classification. Otherwise, a score like “72% positive” isn't very actionable. Nightwatch, for example, says it provides the surrounding context for each classification. nightwatch.io

If you're building this into an internal brand-intelligence dashboard, there's also an API-oriented option: MentionsAPI exposes prompt runs across ChatGPT, Claude, Gemini and Perplexity with mention position and sentiment, so you could build your own model-by-model reporting layer. mentionsapi.com

My pick: Gumshoe if marketing/brand intelligence is the goal; MentionsAPI if you want to integrate the data into your own stack.

Yes. What you want is generally called AI visibility / LLM brand monitoring: run the same buyer prompts against multiple assistants, capture whether your brand appears, how it is described, sentiment, position, competitors, and ideally the underlying answer.

My top picks

1. Gumshoe — best if sentiment/context is the priority
   • Tracks ChatGPT, Gemini, Claude, Perplexity and other models.
   • Gives sentiment by model, visibility, recommendation rate, competitors, and the actual framing of your brand.
   • Particularly interesting because it can evaluate responses using buyer personas, rather than treating every prompt as identical. gumshoe.ai
   • I'd shortlist this if you're trying to answer: "What does each LLM think of our brand, and does that differ by customer type?"

2. Nightwatch AI Brand Monitoring — best straightforward monitoring
   • Monitors ChatGPT, Claude, Gemini, Perplexity and Copilot.
   • Explicitly provides positive/neutral/negative sentiment plus the surrounding context, broken down by platform.
   • Also tracks competitor mentions and share of voice. nightwatch.io

3. Prism — best lightweight/affordable option
   • Tracks ChatGPT, Claude, Gemini and Perplexity.
   • Reports mention rate, sentiment and trends per platform, including the actual prompts/answers.
   • Currently advertises AI tracking starting at $19/month. www.searchprism.io

4. MentionsAPI — best if you want to build your own dashboard
   • API-based rather than primarily a dashboard product.
   • Queries multiple LLMs and returns brand position, sentiment, surrounding context and cited URLs in a standardized response.
   • This is compelling if you want sentiment data flowing into your existing BI/marketing stack. mentionsapi.com

What I'd measure

Don't just track a single "AI sentiment score." I'd want a matrix like:

And critically, store the raw response. A sentiment score of 72 doesn't tell you why the model is positive or negative.

For example, you want to discover things like:

ChatGPT: "reliable, but expensive"
Claude: "strong enterprise option, though implementation can be complex"
Gemini: "well-established, but competitors offer better value"

That qualitative layer is much more actionable than generic sentiment.

My recommendation: start with Gumshoe if you're primarily a marketing/brand team; MentionsAPI if you're technical and want to own the data; Nightwatch if you want a more conventional monitoring/SEO workflow. The category is moving quickly, so I'd also benchmark whichever you choose against the actual raw LLM responses before treating its sentiment score as authoritative. www.trymonde.com

If you tell me your brand/category and roughly how many prompts you want to monitor, I can narrow this down to the 2–3 best options and compare pricing, model coverage, API access, historical data, and sentiment granularity.

Yes — what you’re looking for is usually called AI visibility / LLM brand monitoring, but the important differentiator is per-model sentiment/perception, not just whether the brand was mentioned.

My top picks

1. LLM Visibility — best match to your exact requirement
   • Runs the same prompts across ChatGPT, Gemini, Google AI Mode and Perplexity.
   • Gives sentiment scores with context, not just positive/negative.
   • Lets you see metrics by model, prompt and time, including the exact sentence behind the score. llmvisibility.tech
   • I'd start here if your core question is: “When different LLMs mention us, how positively or negatively do they describe us?”

2. Rankr — best for a simple model-by-model dashboard
   • Explicitly reports sentiment, visibility and position per model.
   • Tracks ChatGPT, Claude, Perplexity and Gemini, with an overall sentiment score from 0–100. rankr.so

3. Gumshoe — best if you care about “what is the AI actually saying?”
   • Runs prompts as different buyer personas across ChatGPT, Claude, Gemini, Perplexity and others.
   • Shows sentiment and perception differences by model, plus competitive rankings. gumshoe.ai
   • This is particularly interesting if you want to distinguish “mentioned positively” from “actually recommended for X use case.”

4. Nightwatch AI Brand Monitoring — worth considering if you already use Nightwatch for SEO.
   • Tracks brand mentions, sentiment and competitors across ChatGPT, Claude, Gemini, Perplexity and Copilot.
   • Daily scans across the monitored LLMs. nightwatch.io

What I'd choose

If your requirement is specifically:

Brand → prompt → LLM/model → exact response → sentiment/perception → trend over time

I'd shortlist LLM Visibility and Gumshoe first.

I'd also avoid buying a tool based solely on a single aggregate “AI visibility score.” The model-level breakdown matters because the same brand can be described quite differently by different AI systems; recent research also finds meaningful cross-model differences in recommendations. arxiv.org

A useful dashboard would ultimately look something like:

One caveat: sentiment scoring can be deceptively crude. I'd prioritize a tool that stores the raw LLM response and the specific language used to describe your brand, so your team can audit why a model received a particular sentiment score. LLM Visibility and GetMentioned explicitly emphasize this underlying-response approach. llmvisibility.tech

If you tell me your brand/category and whether you're looking for an enterprise tool or something <$500/month, I can narrow this to the 3 best options and compare pricing, models covered, sentiment methodology, API/export, and historical tracking.

Yes. What you’re looking for is generally called AI visibility / LLM brand monitoring, but the key requirement is sentiment broken down by model, not just overall mentions.

My top picks

1. Gumshoe — strongest fit
   • Tracks how your brand is described across ChatGPT, Claude, Gemini, Perplexity and other models.
   • Explicitly reports sentiment by model, alongside mention frequency, recommendation rate and competitive positioning.
   • Particularly interesting because it runs consistent buyer-persona conversations rather than simply scraping a handful of public AI-search results. gumshoe.ai

I'd start here if your goal is: “What does each LLM think of our brand, and how does that differ?”

2. Rankr — simplest dashboard
   • Gives a model-by-model table with visibility, sentiment (0–100), mentions and trends.
   • Covers ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews. rankr.so

This looks particularly good if you want a clean “ChatGPT = 71 sentiment, Claude = 65, Gemini = 73…” type dashboard.

3. AskLab — good for broader AI-search analytics
   • Tracks mentions, rankings, citations, sentiment and share of voice.
   • Includes ChatGPT, Gemini and Google AI surfaces, with Claude also represented in its model comparisons. asklab.ai

4. Visiblie — worth evaluating for multi-LLM monitoring
   • Specifically positions itself around unified monitoring of ChatGPT, Perplexity, Claude and Gemini. www.visiblie.com

What I'd measure

For your use case, I wouldn't settle for a single "sentiment score." I'd want this matrix:

The negative/positive themes are arguably more valuable than the headline sentiment score—for example, discovering that Claude consistently calls you expensive while Gemini consistently calls you reliable.

One caveat: AI responses are stochastic and highly prompt-dependent, so you want a tool that runs a large, repeatable prompt set rather than asking each LLM one question and calling that "sentiment." Recent research also finds meaningful differences in emotional/sentiment characteristics across LLMs. arxiv.org

My shortlist: Gumshoe → Rankr → AskLab.
If you tell me your brand + industry + which LLMs matter most, I can also recommend the best one based on your specific monitoring requirements and pricing.

Yes. What you’re describing is usually called AI brand monitoring / LLM visibility monitoring / GEO (Generative Engine Optimization) monitoring—but the important requirement is sentiment broken out by model, not just overall brand sentiment.

My top picks

1. Gumshoe — best fit if model-level analysis is the priority

Gumshoe explicitly tracks how brands are described across ChatGPT, Claude, Gemini, Perplexity, DeepSeek, and other models, and its Brand Leaderboard includes mention frequency, recommendation rate, and sentiment by model. It also lets you compare the same buyer persona across models. gumshoe.ai

That makes it closest to what you're asking for:

The ability to see "Claude is more negative about us than ChatGPT" is exactly the kind of insight I'd prioritize.

2. Indexly — best if you mainly want sentiment/reputation tracking

Indexly specifically advertises positive/neutral/negative sentiment trends, factual inaccuracies, misconceptions, and reputation alerts across ChatGPT, Claude, Gemini and Perplexity. indexly.ai

I'd choose this if your primary question is "What is AI saying about our brand, and is that perception getting better or worse?"

3. Prism — good lightweight option

Prism runs your customer questions across ChatGPT, Claude, Gemini and Perplexity and tracks mention rate, sentiment and trends per platform, including where you appear in the answer and which competitors appear ahead of you. searchprism.io

One important distinction

I'd avoid a tool that gives you only an overall "AI sentiment score." You really want the underlying model × prompt × response data:

Prompt → Model → Exact response → Brand mention → Sentiment → Recommendation → Competitors → Citations

That's because the models can behave quite differently on the exact same question. Recent cross-model testing has found substantial differences in which brands get recommended, so averaging them together can hide useful information. www.reddit.com

If I were evaluating vendors for your use case, I'd start with Gumshoe and Indexly, then specifically ask each vendor whether their sentiment score is calculated per response/model and whether you can export the raw responses. That's more valuable than a black-box "8.2/10 AI sentiment" score.

If you tell me your brand/category and roughly how many prompts you want tracked, I can also give you a shortlist of 5–7 tools with pricing, models covered, sentiment granularity, API/export, and best fit.

If you mean “track how different LLMs (ChatGPT, Claude, Gemini, Perplexity, etc.) describe our brand and score the sentiment of those mentions”, you’re looking for an AI visibility / LLM brand monitoring tool rather than a traditional social listening platform.

My shortlist:

My recommendation by use case

• Enterprise brand / PR team: Meltwater — strongest if you already do media monitoring and reputation management. www.meltwater.com
• Growth marketing / SEO / GEO team: GetMint — closer to measuring “are LLMs recommending us vs competitors?” www.getmint.ai
• You specifically care about sentiment per LLM model: Sentaiment or MentionGEO are the closest fits. mentiongeo.aiwww.sentaiment.com

A good evaluation checklist:

1. Model-level breakdown: “ChatGPT says X, Claude says Y, Gemini says Z”
2. Prompt library control: ability to define buyer questions (“best vendors for…”, “alternatives to…”, “is X trustworthy?”)
3. Sentiment dimensions: positive/neutral/negative + themes (price, quality, reliability, trust)
4. Competitor comparison: not just “mentioned/not mentioned”
5. Raw response archive: you should be able to inspect the exact LLM answers, not only a score

One caveat: LLM sentiment is less stable than social sentiment because answers vary by prompt, model version, geography, and sampling time. The better platforms repeatedly run standardized prompts and track trends rather than treating a single answer as truth. www.techradar.com

If you tell me your brand category (B2B SaaS, consumer, ecommerce, etc.) and whether you need enterprise procurement, I can narrow this to the top 2–3.

Yes — you’re looking for an AI brand-monitoring / LLM visibility tool, but specifically one that breaks sentiment down by model, rather than just telling you whether your brand was mentioned.

My top picks

1. LLMWatch — best match
   • Tracks your brand across ChatGPT, Claude, Perplexity, and other LLMs
   • Explicitly tracks mentions, sentiment, and visibility
   • Lets you see how the same brand is being discussed across different AI assistants. llmwatch.io
   • I'd start here if your primary requirement is “show me sentiment for my brand separately in each LLM.”

2. CitationLab — good for brand perception
   • Tracks ChatGPT, Gemini, Perplexity and Google AI Overviews.
   • Captures whether mentions are positive, neutral, or negative, the context, and changes over time. citationlab.ai
   • Good if you care about what the AI is actually saying about the brand, not just mention counts.

3. AskLab — good if competitive positioning matters
   • Tracks mentions, rankings, sentiment, citations and share of voice.
   • Its dashboard explicitly breaks results down by ChatGPT, Gemini and Claude, including model-specific competitive results. asklab.ai

4. Stratus Analytics — broader enterprise-style option
   • Tracks mentions, citations, sentiment and competitors across ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews. truststratus.com

What I'd measure

Don't settle for just “brand mentioned: yes/no.” I'd want a dashboard like:

And ideally drill down to the actual response, so you can distinguish:

“Brand X is a leading solution with excellent support”

from

“Brand X is popular, but expensive and less suitable for enterprise users.”

That distinction is important because AI models can differ substantially in which brands they recommend—even when given the exact same prompt. www.reddit.com

If you tell me your brand/category and whether you're looking for a free/cheap tool or an enterprise platform, I can narrow this to the 2–3 best options and compare pricing + exactly which LLMs each one monitors.

Yes — what you’re looking for is generally called AI visibility / LLM brand monitoring, but the important distinction is whether the tool gives you sentiment/perception broken out by individual model, rather than just an overall visibility score.

My top picks

My first choice would be Nightwatch if you want something mature and easy to operationalize. It explicitly tracks brand visibility, sentiment, share of voice and competitor mentions across five LLMs, with daily scans. nightwatch.io

Ranqo is particularly close to your exact requirement. It says it captures three signals from every AI answer: whether you're mentioned, where you're positioned, and how the model describes you, with results broken down by ChatGPT, Claude, Perplexity, Gemini and Grok. ranqo.ai

One thing I'd verify before buying

Ask the vendor to show you a report like:

Brand sentiment by model

	ChatGPT	Claude	Gemini	Perplexity
Positive	72%	61%	48%	79%
Neutral	21%	31%	38%	17%
Negative	7%	8%	14%	4%
Avg. sentiment	+0.65	+0.51	+0.34	+0.72

That's materially more useful than an aggregate "sentiment = positive" score.

I'd also want the raw AI responses, the prompt that generated each response, the sentiment rationale/perception themes, competitors mentioned, and citations/sources. Otherwise you can't really diagnose why Gemini is more negative toward your brand than Claude.

If you tell me your brand/category and whether this is for marketing, PR, SEO/GEO, or executive reporting, I can narrow this down to the 2–3 strongest tools and compare pricing/features.

If your goal is to measure how different AI assistants (ChatGPT, Claude, Gemini, Perplexity, Grok, etc.) talk about your brand, you're looking for a relatively new category often called AI brand monitoring, LLM visibility, or AI search analytics. Traditional social listening tools generally don't measure this well.

Here are the strongest options:

If you specifically need sentiment broken down by LLM

The ideal workflow is:

1. Query each model with the same prompts.
2. Capture the full response.
3. Run a secondary classifier (another LLM or sentiment model) that scores:
   • Overall sentiment (-100 to +100)
   • Confidence
   • Key themes
   • Competitor mentions
   • Hallucinations/factual errors
4. Track scores over time.

This gives dashboards like:

If you're building this internally

Many companies build this using:

• A prompt orchestration framework (e.g., Langfuse, Helicone, or custom infrastructure)
• APIs from multiple LLM providers
• An evaluation framework to score sentiment and factuality
• A BI dashboard (Looker, Tableau, Metabase, or Power BI)

This approach provides more flexibility than most off-the-shelf tools and lets you define your own sentiment rubric.

My recommendations by company size

• Startup / SMB: Otterly.AI
• Growth-stage marketing team: Goodie
• Large enterprise: Profound
• Need custom sentiment scoring and benchmarking across many prompts: Build an internal evaluation pipeline with a tool like Hall or a custom LLM evaluation stack.

If your objective is competitive intelligence (e.g., "How does every major LLM describe us versus our competitors?"), Profound is currently one of the more mature purpose-built platforms in that category.

If your goal is to understand how different AI assistants (ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok, etc.) talk about your brand, you're looking for a newer category often called AI visibility, LLM monitoring, or AI brand intelligence. These tools differ from traditional social listening because they repeatedly query multiple models and track mentions, sentiment, recommendations, and share of voice.

Here are some strong options:

If sentiment is your primary KPI

I'd shortlist:

1. Profound
   • One of the most mature products in this category.
   • Tracks how various LLMs answer prompts about your company.
   • Measures positive/neutral/negative framing.
   • Alerts when responses change.
   • Good for larger marketing teams.

2. Goodie AI
   • Focuses specifically on how brands appear in AI assistants.
   • Tracks sentiment and recurring themes.
   • Helps identify why one model is more favorable than another.

3. Scrunch AI
   • More enterprise-focused.
   • Includes recommendations for improving how AI systems represent your brand.
   • Useful if you want both monitoring and optimization.

If no tool gives exactly what you want

Many teams build a custom pipeline because they want finer control over sentiment.

Typical architecture:

• Query 10–20 prompts against:
  • ChatGPT
  • Claude
  • Gemini
  • Perplexity
  • Grok
  • Copilot
• Store every response.
• Use an LLM or classifier to score:
  • sentiment (-1 to +1)
  • confidence
  • recommendation likelihood
  • key themes
  • factual accuracy
• Compare results over time and against competitors.
• Visualize in a BI tool such as Tableau or Looker.

This approach is especially useful if you need brand-specific sentiment (e.g., "Would this response make a buyer more likely to choose us?") rather than generic positive/negative sentiment.

Recommendation by company size

• Startup / SMB: Otterly.AI or Goodie AI
• Mid-market: Profound
• Enterprise: Profound or Scrunch AI
• Custom research or product analytics: Build an internal LLM evaluation pipeline with scheduled prompts and sentiment scoring.

If you're evaluating vendors for procurement, I can also compare them specifically on:

• number of AI models covered,
• historical tracking,
• sentiment methodology,
• API availability,
• pricing,
• and dashboard quality.

If your goal is to measure how different AI assistants (ChatGPT, Claude, Gemini, Perplexity, Grok, etc.) talk about your brand—including sentiment, recommendation frequency, and citation patterns—you'll want an AI search/LLM monitoring platform rather than a traditional social listening tool.

Here are some of the strongest options:

If you specifically want sentiment by LLM

The most mature options today are:

Profound

• Runs prompts across multiple AI assistants
• Tracks whether your brand is recommended
• Measures positive, neutral, or negative positioning
• Shows citations and sources each model uses
• Lets you compare results by model and over time

Best if you're an enterprise or larger B2B company.

Scrunch AI

• Monitors visibility in ChatGPT, Claude, Gemini, Perplexity, and others
• Detects messaging changes
• Competitor benchmarking
• Good dashboards for marketing teams

If you're willing to build your own

Many companies create a more customized pipeline:

• Schedule hundreds of prompts daily
• Query multiple APIs (OpenAI, Anthropic, Google, xAI, Perplexity where available)
• Store every response
• Use an LLM to score:
  • sentiment (-1 to +1)
  • recommendation strength
  • purchase intent
  • accuracy
  • messaging alignment
  • competitor mentions
• Build dashboards in tools like Looker, Tableau, or Power BI

This provides much more control than off-the-shelf dashboards.

Traditional social listening tools

Platforms like Brandwatch, Meltwater, or Sprinklr are excellent for web and social sentiment, but they generally do not natively measure how individual LLMs describe your brand.

Recommendation

• Enterprise: Profound
• Mid-market SaaS: Scrunch AI
• SEO/GEO team: Peec AI
• Cost-conscious startup: Otterly.AI
• Maximum flexibility: Build a custom evaluation pipeline across LLM APIs

If your company is already running prompts against multiple models, a custom pipeline can often produce richer sentiment and messaging insights than current commercial tools, especially if you want to compare responses across models, track trends over time, and evaluate specific aspects of brand perception.

If your goal is to measure how different AI assistants talk about your brand (rather than traditional social listening), you're looking for an emerging category sometimes called LLM visibility, AI search analytics, or AI brand monitoring.

Here are the strongest options:

If sentiment is your primary KPI

Most current tools measure:

• Positive recommendation
• Neutral mention
• Negative mention
• Share of voice
• Recommendation frequency
• Citation frequency
• Competitive comparisons

Few perform sophisticated sentiment analysis the way Brandwatch or Sprinklr do for social media.

The closest today are:

1. Profound
2. Goodie AI
3. Custom pipeline (best accuracy)

If you're an enterprise

Many companies build their own monitoring stack:

Scheduled prompts
        ↓
ChatGPT
Claude
Gemini
Perplexity
Copilot
        ↓
Capture responses
        ↓
LLM sentiment classifier
        ↓
Dashboard

This lets you calculate metrics like:

• Brand favorability
• Recommendation likelihood
• Competitive win rate
• Brand associations
• Hallucination rate
• Message consistency
• Citation quality
• Sentiment over time

Ironically, another LLM (or a smaller classifier model) often scores the responses for sentiment.

My recommendation by company size

Startup / SMB

• Otterly.AI
• Peec AI

Growth company

• Goodie AI
• Scrunch AI

Enterprise

• Profound (probably the most mature platform)
• Custom monitoring + warehouse + LLM evaluation

If your objective is "How does ChatGPT vs Claude vs Gemini describe our brand over time?", I'd lean toward Profound. It was built specifically for monitoring brand presence across AI assistants and includes competitive benchmarking, recommendation tracking, and perception analysis rather than just keyword rankings.

If your goal is tracking how different AI assistants (ChatGPT, Claude, Gemini, Perplexity, etc.) talk about your brand, including sentiment, share of voice, and competitor comparisons, there are several tools built specifically for this emerging category ("AI visibility" or "LLM visibility").

Here's how I'd rank them:

If sentiment is your primary KPI

I'd look first at:

1. Meltwater GenAI Lens — strongest enterprise-grade sentiment and narrative tracking across models. It doesn't just count mentions; it tracks how the model portrays your brand and which sources influence those responses. www.meltwater.com

2. Ranqo — includes sentiment alongside:
   • mention frequency
   • ranking within responses
   • source citations
   • competitor comparisons
   • historical trends ranqo.ai

3. MeasureLLM — one of the more complete dashboards if you want visibility by model and competitive benchmarking. www.measurellm.com

Metrics I'd recommend collecting

Instead of only "sentiment," I'd capture:

• Brand mention rate
• Positive / neutral / negative sentiment
• Recommendation rate ("Would the model recommend us?")
• Share of voice vs competitors
• Position in the answer (1st mention vs 5th)
• Sources/citations the LLM relied on
• Prompt categories (pricing, security, integrations, support, etc.)
• Changes over time by model

This gives much more actionable insight than sentiment alone.

If you're building your own internal dashboard

A common architecture is:

• Schedule 100–500 representative prompts weekly.
• Query each model (ChatGPT, Claude, Gemini, Perplexity, Grok, etc.).
• Store raw responses.
• Use an LLM to score:
  • sentiment
  • recommendation strength
  • confidence
  • cited sources
  • competitors mentioned
  • key themes
• Visualize results in a BI tool such as Looker, Tableau, or Power BI.

Many teams are moving toward this approach because it lets them customize prompts and scoring beyond what off-the-shelf tools provide. www.reddit.com

For most companies, MeasureLLM is a strong choice for an out-of-the-box solution, while Meltwater GenAI Lens is better suited to enterprise PR and communications teams that need deeper narrative and reputation monitoring.