ChatGPT answers, unedited

For an early product launch where you want to track AI assistant mentions + sentiment in near real time, I’d look at tools that combine traditional social listening with newer LLM visibility monitoring. The right choice depends on whether you mean:

1. “Are people talking about our product in AI assistants?” (ChatGPT, Claude, Gemini, Perplexity mentions/recommendations)
2. “Are people talking about our product online?” (Reddit, X, forums, news, reviews)
3. Both (usually the launch-monitoring use case)

Recommended shortlist

1. Meltwater — best fit for AI assistant visibility + PR monitoring

Meltwater’s GenAI Lens is designed to track how brands appear in AI-generated answers across systems such as ChatGPT, Gemini, Claude, and Perplexity, including mentions, sentiment, competitive comparisons, and source citations. Its broader monitoring platform also covers social, news, forums, and alerts. Meltwater Meltwater

Good for:

• Product launches with PR/comms teams
• Tracking “Which AI assistant recommends us?”
• Monitoring competitor mentions
• Executive dashboards

Watch for:

• Enterprise pricing
• May be more platform than an early startup needs

2. Brandwatch — best for consumer sentiment and conversation analysis

Brandwatch is strong for analyzing online conversations, sentiment shifts, trends, and alerts across large volumes of consumer discussion. Brandwatch

Good for:

• Reddit/community monitoring
• Finding early adopter reactions
• Understanding why sentiment changes
• Product-market feedback loops

Watch for:

• Verify the exact AI assistant tracking coverage you need; its traditional strength is social listening.

3. Talkwalker — best for broad global monitoring

Talkwalker focuses on large-scale media and social monitoring, sentiment analysis, alerts, and AI-assisted summaries across many sources. Lumen by Talkwalker Lumen by Talkwalker

Good for:

• Global launches
• Consumer brands
• Visual/social mentions (images, videos, logos)

My practical recommendation for a launch team

If your goal is specifically:

“When someone asks an AI assistant ‘what’s the best product in this category?’ do we appear, and what does it say?”

Start with Meltwater GenAI Lens or a dedicated AI visibility tracker, and pair it with lightweight community monitoring. Meltwater

If your goal is:

“A customer posts a complaint or praise somewhere and we want to know immediately.”

Start with Brandwatch or Talkwalker. Brandwatch Lumen by Talkwalker

Metrics I’d set up on day one

• AI assistant mention frequency
• Share of AI recommendations vs competitors
• Sentiment by assistant/model
• Common phrases used to describe your product
• Top cited sources influencing AI answers
• Reddit/forum sentiment velocity
• Negative sentiment alerts
• “Unknown unknowns” — unexpected use cases or complaints

For an early-stage launch, I’d avoid only tracking raw mention count; AI assistants can mention a product rarely but still influence high-intent buyers. Track visibility + sentiment + narrative themes together.

Start with Meltwater GenAI Lens or a dedicated AI visibility tracker, and pair it with lightweight community monitoring. Meltwater

If your goal is:

“A customer posts a complaint or praise somewhere and we want to know immediately.”

Start with Brandwatch or Talkwalker.

Metrics I’d set up on day one

I’d recommend Brandwatch Listen for broad real-time mention and sentiment monitoring. It tracks 100M+ online sources, supports sentiment analysis, and provides AI alerts for unusual spikes. Brandwatch

If AI-assistant mentions specifically are your priority, Brandwatch’s Trajaan is particularly relevant: it monitors how leading LLMs such as ChatGPT discuss your brand and competitors across thousands of prompts. Brandwatch

For a launch, I’d pair those capabilities with alerts for brand name + product name + key features + common misspellings, and separately track positive/negative sentiment and emerging narratives.

If by “AI assistant mentions” you mean what ChatGPT, Gemini, Claude, Perplexity, etc. say about your product, I’d use an AI-answer monitoring tool, not a conventional social-listening platform.

My recommendation: Promptwatch

promptwatch.com is specifically designed to monitor brand sentiment and visibility across AI assistants. It tracks how assistants describe your brand, including sentiment, positioning, and competitor mentions. Promptwatch

For an early product launch, I’d set up monitoring around:

• Brand/product name — direct mentions and misspellings
• Category prompts — “best X for startups,” “alternatives to X,” etc.
• Problem prompts — questions your product is intended to solve
• Competitor prompts — whether assistants mention you alongside competitors
• Sentiment/framing — positive, neutral, negative, plus why the assistant describes you that way
• Citation/source tracking — which websites are influencing the answers

One important distinction: AI-answer monitoring and real-time web/social monitoring are different jobs. Promptwatch-type tools tell you what AI assistants are saying; tools such as eyeout.com monitor public mentions across web, Reddit, X, news, forums, reviews, etc., with AI sentiment and real-time spike alerts. EyeOut EyeOut

So for a launch, I'd consider Promptwatch + EyeOut if you want both sides of the signal: “What are people saying?” + “What are AI assistants saying?” If you only want one initially, I'd choose based on whether your main concern is AI visibility or overall launch sentiment.

If by “AI assistant mentions” you mean what ChatGPT, Gemini, Claude, Perplexity, etc. are saying about your product, I’d recommend Promptwatch as the first tool to evaluate. It is specifically oriented toward tracking brand sentiment and visibility across AI platforms, rather than just traditional social listening. Promptwatch

For a product launch, I’d shortlist:

• Promptwatch — Best fit if your priority is AI-assistant visibility: track how your brand appears in AI-generated answers and how sentiment/positioning changes.
• Brandwatch — Better if you want broader brand monitoring across social, news, forums, reviews, and emerging AI visibility. Its AI features include sentiment/tone analysis and anomaly detection. Brandwatch Sprinklr
• Lumen by Talkwalker — Strong for large-scale monitoring, with real-time alerts, sentiment analysis, and coverage across social networks and 150M websites. Lumen by Talkwalker Lumen by Talkwalker
• Sprinklr — Best for an enterprise launch where you need a real-time command center, crisis alerts, sentiment/emotion analysis, and monitoring across 30+ channels. Sprinklr Sprinklr

What I'd do for an early launch

Start with Promptwatch + a lightweight traditional social-listening tool if budget permits. AI-assistant mentions and conventional social mentions are different signals: the former tells you how AI systems recommend/describe you, while the latter tells you what actual people are saying.

For your dashboard, I'd track:

1. AI mention rate — % of tracked prompts where your product appears.
2. Recommendation/share of voice — how often you're recommended vs. competitors.
3. Sentiment — positive/neutral/negative, ideally by prompt/category.
4. Position/ranking — where you appear in AI recommendations.
5. Citation/source changes — which websites are influencing AI answers.
6. Competitor displacement — prompts where you gain or lose visibility.
7. Alerts — sudden negative sentiment or disappearance from previously strong prompts.

My pick: If the distinctive goal is “tell me in real time what AI assistants are saying about our newly launched product,” start with Promptwatch. If the goal is “give our marketing/PR team a complete real-time picture of the launch,” I'd choose Brandwatch or Sprinklr instead.

If you tell me your product category, expected mention volume, and approximate monthly budget, I can narrow this to the best 2–3 options and compare pricing/features.

I’d recommend Brandwatch for a product launch. It provides real-time mention tracking, sentiment analysis, anomaly/spike alerts, and coverage across 100M+ online sources. brandwatch.com brandwatch.com

If by “AI assistant mentions” you specifically mean how ChatGPT, Gemini, etc. describe your product, consider a dedicated AI-visibility tracker such as Promptwatch alongside Brandwatch. promptwatch.com

For an early product launch, I’d recommend peec.ai as the best starting point.

It’s purpose-built for monitoring how AI assistants talk about brands, rather than adapting traditional social listening to AI. It tracks:

• Mentions and visibility across ChatGPT, Gemini, Perplexity, Claude and other AI engines.
• Sentiment and the attributes AI associates with your brand.
• Share of voice versus competitors.
• The exact prompts that generate mentions.
• Citations/sources influencing what the assistants say about you. Peec AI Peec AI
• Daily monitoring and trend tracking; its MCP integration can also expose the monitoring data to tools such as Claude and automation workflows. Peec AI

One caveat: "real-time"

For a product launch, I'd distinguish real-time alerts from continuous AI-answer monitoring. Most AI visibility platforms periodically rerun a defined set of prompts rather than literally watching every ChatGPT/Claude conversation happening on the internet. Peec describes its core tracking as updating daily. Peec AI

If actual real-time alerts are the overriding requirement, Mentionary explicitly advertises 24/7 monitoring, real-time alerts, and sentiment tracking across ChatGPT, Claude, Gemini, and Perplexity. Mentionary

For a more enterprise-oriented option, tryprofound.com is worth evaluating; it combines AI visibility, sentiment, share of voice, citations, and prompt-driven analysis. tryprofound.com help.tryprofound.com

My launch stack: start with Peec AI for structured AI visibility/sentiment measurement, then add a real-time alerting layer if you need immediate notification when sentiment or mentions spike.

For your use case, I’d recommend peec.ai as the first tool to evaluate.

It’s specifically built for monitoring how brands appear inside AI assistants/search, rather than traditional social listening. It tracks:

• Brand mentions across ChatGPT, Gemini, Perplexity, Google AI Mode/Overviews, and other AI engines.
• Sentiment — how positively or negatively the AI describes your product.
• Share of voice and position versus competitors.
• The actual prompts driving mentions, so you can see which customer-intent queries produce visibility.
• Citations/sources influencing the AI's answer, which is particularly useful for figuring out why you're being mentioned. Peec AI Peec AI

One caveat: “real-time” is worth clarifying. Peec's standard prompt tracking is currently described as running daily, not literally every time an assistant generates an answer. Peec AI So for an early product launch, I'd treat it as near-real-time trend monitoring, not a live firehose.

A strong alternative

tryprofound.com is probably the other one I'd put on your shortlist. Its Answer Engine Insights product tracks AI visibility, sentiment, recurring themes, citations, and inaccurate claims about your brand. Profound Profound

My pick: start with Peec if your primary question is “Are AI assistants mentioning us, how often, and with what sentiment?” Start with Profound if you also want a broader AEO/GEO platform for understanding and improving your AI-search presence.

For a launch, I'd track mention rate + sentiment + competitor share of voice + top prompts + cited sources from day one. That gives you a much more useful early-warning system than generic social sentiment alone.

If your priority is monitoring how AI assistants mention your new product and the sentiment around those mentions, I’d start with otterly.ai.

Why it fits:

• Tracks brand mentions across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude. Otterly Otterly
• Scores mentions for positive / neutral / negative sentiment, including the language that drove the score. Otterly
• Lets you define realistic customer prompts and monitor brand coverage, mentions, citations, competitors, and sentiment over time. Otterly
• Has an API, so you can pipe the data into your own dashboard or trigger Slack/Zapier-style alerts. Otterly
• Current monitoring is daily, rather than literally streaming every AI response in real time. Otterly

One important distinction

If by “real-time” you mean “alert me immediately when someone on the public web/social media says something about our product”, I'd pair AI visibility monitoring with a real-time brand-listening tool such as eyeout.com. It monitors web, news, Reddit, X, forums, podcasts, reviews, etc., with sentiment and spike/crisis alerts. EyeOut EyeOut

If you want a more enterprise/AEO-focused platform, tryprofound.com is another strong candidate; it combines AI visibility, sentiment, share of voice, citations, and competitor analysis. Profound Profound

My recommendation for a product launch: start with OtterlyAI for AI-assistant mentions + EyeOut for real-time broader conversation monitoring. That gives you both “What are AIs saying about us?” and “What are people saying about us right now?”

For an early product launch, I’d recommend brand24.com.

Why it fits particularly well:

• Real-time monitoring: tracks mentions across social media, news, blogs, forums, reviews, podcasts, and other sources. Brand24 Brand24
• Sentiment: automatically classifies mentions as positive, neutral, or negative, with emotion analysis for deeper context. Brand24 Brand24
• AI-specific visibility: Brand24 now has AI/LLM visibility capabilities, useful if by “AI assistant mentions” you mean how your product is being discussed or surfaced by AI systems. Brand24 Help Center Brand24
• Launch alerts: you can trigger notifications for important mentions, negative sentiment, keywords, and sudden spikes via email, Slack, or Teams. Brand24 Brand24
• Good fit for an early-stage launch: compared with enterprise platforms such as Meltwater, it is positioned toward smaller/midsize teams and is considerably simpler to get running. Meltwater

How I'd configure it

Create separate monitoring projects/queries for:

1. Exact product name + common misspellings
2. Product name + competitors
3. Product category + key use cases
4. Product name + “review,” “alternative,” “problem,” “bug,” “love,” etc.
5. AI-assistant queries around your category, so you can see when your brand appears in AI-generated recommendations

Then set immediate alerts for negative sentiment + high-engagement mentions, and a lower-priority daily digest for everything else.

If your primary goal is specifically “What do ChatGPT, Claude, Gemini, Perplexity, etc. say about our product?”, rather than general web/social conversation, I’d look at Meltwater GenAI Lens instead. It explicitly monitors brand/product mentions across those LLMs, although its monitoring runs are periodic rather than truly real-time. Meltwater

My pick: Brand24 for launch-day social/web sentiment; add an LLM-visibility product if AI-assistant recommendations are a major acquisition channel.

For an early product launch, I’d recommend presenc.ai if your primary concern is what AI assistants themselves are saying about your product.

It’s purpose-built for AI-assistant visibility rather than conventional social listening: it repeatedly runs buyer-intent prompts against ChatGPT and other AI assistants, captures mentions, position, sentiment, prompt context, and competitor comparisons, and can alert you to changes. Presenc AI

My shortlist

• Presenc AI — best fit for AI-assistant mentions. Tracks ChatGPT, Claude, and Perplexity responses and is designed around recurring prompt monitoring rather than conventional web/social mentions. Presenc AI
• koalr.ai — good if you want a dashboard around visibility, share of voice, sentiment, and competitor gaps across AI answer engines. Koalr
• eyeout.com — better if you mean the broader conversation about your product (web, news, Reddit, X, forums, reviews, etc.) in addition to sentiment. It advertises real-time spike alerts and AI sentiment analysis. EyeOut
• brand24.com — a strong general-purpose option for early-stage brand monitoring; current comparisons highlight its broad source coverage, sentiment analysis, anomaly detection, and AI visibility features. DemandSage

For a launch, I'd actually pair two signals: an AI-visibility tracker for “Are ChatGPT/Claude/etc. recommending us, and how?” plus a broader listening tool for “What are real people saying about us?” Traditional social-listening platforms aren't a complete substitute for AI-assistant monitoring because AI responses aren't published as a conventional mention feed. Presenc AI

If you tell me your budget and whether you're mainly launching B2B SaaS, consumer, or an AI product, I can narrow this to the best 2–3 and compare pricing, alert latency, AI coverage, and sentiment quality.

For an early product launch, I’d start with brand24.com.

It’s a strong fit because you want both real-time conversation monitoring and AI-assistant visibility, rather than just conventional social listening.

• Real-time mentions: monitors 25M+ online sources, including social platforms, news, blogs, forums, reviews, podcasts, and more. Brand24 Brand24
• Sentiment: automatically classifies mentions as positive, neutral, or negative, with emotion/topic analysis available as well. Brand24
• AI/LLM visibility: tracks how your brand appears across ChatGPT, Claude, Gemini, Perplexity, and other AI platforms, including visibility, sentiment, and the sources influencing AI answers. Brand24
• Launch alerts: you can get alerts for sudden spikes or negative sentiment via email, Slack, or Microsoft Teams. Brand24
• Useful for an AI product specifically: its AI Brand Assistant can analyze your live monitoring data, and Brand24 also has an official ChatGPT integration. Brand24 Help Center Brand24 Help Center

A good launch setup

I'd create separate monitoring groups for:

1. Brand/product name — exact and common misspellings.
2. Product + category terms — e.g. "product", "product alternative", "AI assistant for X".
3. Competitors — so you can benchmark share of voice and sentiment.
4. Problem/use-case language — conversations where people discuss the problem you're solving without mentioning you.
5. AI prompts — queries a prospective customer might ask ChatGPT, Gemini, Perplexity, etc., such as "best AI tools for X" or "alternatives to X".

One important distinction: social/web mentions and AI-answer visibility are different metrics. I'd dashboard both separately. A product can have lots of positive Reddit/Twitter discussion but still be absent from the AI answers prospective customers are receiving.

Runner-up: mentionlytics.com is worth evaluating if your priority is deeper reputation monitoring. It combines web/social listening and sentiment with AI-search visibility across ChatGPT, Perplexity, Copilot, Gemini, and AI Overviews, plus anomaly alerts. Mentionlytics Mentionlytics

My pick for a launch: Brand24 if you want the fastest path to “Who is talking about us, what are they saying, is sentiment changing, and are AI assistants mentioning us?” without assembling several tools. Brand24

For a product launch, I’d look for a tool that does more than classic social listening: you want AI assistant visibility tracking (ChatGPT/Claude/Gemini/Perplexity mentions), plus real-time sentiment and alerting across the web.

My shortlist:

Best fit: Mentient

mentient.io

• Built specifically around AI search/assistant visibility plus brand monitoring.
• Tracks how brands appear when users ask AI systems for recommendations, alongside broader web/community mentions.
• Adds sentiment trends and competitor comparisons. Mentient
• Good fit if your launch question is: “Are AI assistants recommending us yet, and what are they saying?”

Best for broad real-time reputation monitoring: EyeOut

eyeout.com

• Monitors web, news, X, Reddit, forums, podcasts, and reviews.
• Uses AI sentiment/theme analysis and spike alerts to catch sudden reputation shifts. EyeOut EyeOut
• Better if your launch risk is a Reddit thread, review backlash, or press narrative forming quickly.

Best if you care specifically about LLM recommendations: Nightwatch

nightwatch.io

• Tracks AI brand visibility signals across assistants such as ChatGPT, Claude, Gemini, and Perplexity.
• Includes sentiment/context analysis around those mentions. Nightwatch
• Useful if your growth strategy depends on being surfaced in AI-generated answers.

My recommendation for an early launch stack

If you’re a startup with limited bandwidth:

1. Use Mentient (or a similar AI visibility tracker) for:

• “Does ChatGPT recommend us?”
• “What competitors appear instead?”
• “What prompts trigger mentions?”
• Pair it with EyeOut for:

• Reddit/community monitoring
• launch sentiment
• crisis alerts

Before launch, I’d set up tracked queries like:

• "Your Brand"
• "Your Product Category + alternatives"
• "Your Brand vs Competitor"
• "best tools for [category]"
• "is [category tool] worth it"
• "alternatives to [competitor]"

Also define sentiment buckets up front:

• Positive: recommendations, praise, adoption stories
• Neutral: comparisons, feature questions
• Negative: bugs, pricing complaints, trust concerns

For a first 30–60 day launch window, I’d prioritize AI assistant visibility + Reddit/community monitoring over vanity mention counts. That’s where early product narratives usually form.

For an early product launch, I’d recommend Peec AI as the first tool to evaluate.

peec.ai

Why it fits

• Tracks actual AI-assistant mentions across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, and other major AI surfaces. Peec AI Peec AI
• Measures sentiment, not just whether you're mentioned—so you can see whether AI is describing the product positively, neutrally, or negatively. Peec AI
• Tracks competitors and share of voice, useful for seeing whether your launch is gaining ground or being displaced by alternatives. Peec AI
• Shows the sources behind AI answers, which is particularly valuable early on: you can identify the Reddit threads, reviews, publications, and other pages influencing how assistants describe you. Peec AI
• It currently refreshes tracked prompts daily, so I'd characterize it as near-real-time monitoring rather than literal second-by-second alerting. Peec AI

One alternative worth evaluating: tryprofound.com. Its Answer Engine Insights similarly tracks AI visibility, sentiment, citations, competitors, and inaccurate claims, and it queries the user-facing AI experiences rather than relying solely on APIs. Profound

For a launch, I'd set up a prompt set around “best [category]”, “[competitor] alternatives”, “[problem] tools”, “[product category] for [persona]”, plus your exact brand/product name. Then monitor mention rate + sentiment + position/share of voice + cited sources week over week.

If you tell me your product category and target customer, I can recommend the best 2–3 tools and the exact monitoring prompts I'd use.

If your goal is specifically early product mentions + sentiment inside AI assistants, I’d start with mentionpilot.ai.

It’s purpose-built for AI visibility and monitors ChatGPT, Gemini, Perplexity, and Google AI Overviews, including the actual prompts/responses, brand mentions, competitive visibility, and sentiment. Its entry plan is currently $69/month and runs tracked prompts daily. MentionPilot

My shortlist

• mentionpilot.ai — best overall starting point. Good combination of prompt-level monitoring, sentiment, competitor tracking, and multiple AI engines. MentionPilot
• livesov.com — best for a startup/budget-conscious launch. Tracks ChatGPT, Claude, Gemini, Perplexity and Grok, with sentiment, share of voice, cited sources, and hallucination detection; plans start at $9/month. Livesov
• tutka.ai — best if you also care about Reddit/Quora/open-web conversation. It combines AI citation tracking with broader mention monitoring and sentiment. Tutka
• aigeowatch.com — worth evaluating if “real-time” is the priority. It advertises live monitoring of mentions, sentiment/positioning, share of voice, and competitor displacement across major AI engines. Your Site Name

One important distinction: most “AI monitoring” products aren't literally listening to every consumer's private ChatGPT/Claude conversation. They generally run representative prompts against the public/accessible AI systems and analyze the resulting answers. That makes prompt selection extremely important.

For a product launch, I'd track roughly 50–100 buyer-intent prompts such as:

• “best [category] tools”
• “[competitor] alternatives”
• “best [category] for [use case]”
• “[problem] software”
• “compare [your product] vs [competitor]”
• “is [your product] worth it?”
• “[your product] reviews”
• “[your product] pricing”

Then alert on new mentions, sentiment changes, competitor displacement, ranking changes, and incorrect/hallucinated product claims.

If you tell me your product category and whether you're B2B or consumer, I can narrow this to the best 2–3 tools and suggest the initial prompt set.

For an early product launch, I’d recommend brand24.com as the strongest all-around choice.

Why it fits:

• AI-assistant monitoring: its Chatbeat capability tracks how ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, Copilot, and Google AI Overviews mention your brand. DemandSage
• Sentiment + context: you can distinguish positive, neutral, and negative mentions rather than simply counting appearances.
• Competitive tracking: useful for seeing whether assistants recommend you versus competing products and measuring AI share of voice. DemandSage
• Broader listening: unlike a pure LLM-visibility tracker, it can also monitor conventional web/social conversations, giving you one view of human sentiment + AI perception.

If "real-time" is the top priority

I'd also look at mentionsflow.com. It is specifically built around AI-answer tracking and monitors mentions, citations, comparisons, and sentiment across major assistants. Mentions Flow

One caveat: many products marketed as "real-time" actually poll AI assistants on a schedule rather than continuously observe every user conversation. For launch monitoring, I'd prioritize prompt-level tracking + alerts + sentiment + competitor share of voice over the "real-time" label.

My pick: Brand24 if you want a broader launch-monitoring system; MentionsFlow if you primarily care about how AI assistants are describing and recommending the product.

If you tell me your product category and approximate budget (e.g. <$100/mo, $500/mo, enterprise), I can narrow this to the best 2–3 options.

For a product launch, I’d start with foglift.io if your priority is specifically AI-assistant mentions + sentiment, rather than traditional social listening.

• AI coverage: tracks how ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews represent your brand. Foglift Foglift
• Sentiment: analyzes whether mentions are positive, neutral or negative and tracks it over time. Foglift
• Competitive monitoring: lets you see when competitors are being recommended instead of you and tracks share of voice. Foglift
• Prompt-level evidence: useful during a launch because you can monitor the actual buyer questions producing mentions, rather than just getting a generic visibility score.
• Automation: paid plans include API/webhooks, which makes it practical to push alerts into Slack or your launch dashboard. Foglift Foglift
• Cost: its Launch plan is currently advertised at $49/month, including daily monitoring across five engines. Foglift

One important distinction

If by “mentions” you mean people talking about your product on Reddit, X, news sites, etc., rather than AI assistants mentioning your product in their answers, I'd use a broader social-listening platform alongside an AI visibility monitor.

For AI-assistant tracking, alternatives worth comparing are ahrefs.com and indexly.ai. Ahrefs is particularly interesting if your team already uses it for SEO; its monitoring covers AI mentions, citations, custom prompts and competitive benchmarking. Ahrefs Indexly adds AI referral traffic to mentions, citations and sentiment. Indexly

My launch setup: track 30–100 high-intent prompts (e.g. “best [category] for X,” “[competitor] alternatives,” “is [product] worth it?”), monitor mention rate + recommendation position + sentiment + citations + competitor share of voice, and alert on sudden negative sentiment or competitor displacement.

If you tell me your product category and target market, I can narrow this to the best 2–3 tools and the exact monitoring setup I'd use.

For an early product launch where you want to track AI assistant mentions (ChatGPT, Claude, Gemini, Perplexity, etc.) plus sentiment, I’d look at a newer category of AI visibility / answer monitoring tools, rather than only traditional social listening.

My shortlist:

Best fit: mentionary.ai

Best for: “How are AI assistants describing our product?”

• Tracks brand mentions across major AI assistants.
• Measures mention frequency, share of voice, and sentiment/context of mentions. Mentionary
• Useful for launch teams because you can monitor: - “best tools for X” prompts
• competitor comparisons
• incorrect product descriptions
• negative narratives forming in AI answers

Strong alternative: signalkit.ai

Best for: AI search visibility and competitive benchmarking

• Monitors how multiple AI models describe brands.
• Tracks visibility, share of voice, ranking position, and sentiment in AI-generated answers. SignalKit
• Good if your goal is “are we becoming the recommended choice when users ask AI?”

If you also care about social/web buzz: sprinklr.com

Best for: enterprise-grade reputation monitoring

• Real-time brand mention tracking across many channels.
• AI sentiment analysis and trend detection. Sprinklr
• Better for PR/crisis workflows than specifically AI assistant visibility.

More startup-friendly social listening: mention.com

Best for: broader internet monitoring

• Tracks web and social mentions with sentiment analysis.
• Useful for catching Reddit, blogs, news, and community reactions after launch. Mention

My recommendation for a product launch stack

For the first 90 days:

1. AI assistant visibility: Mentionary AI or SignalKit
2. Community sentiment: Mention (or a Reddit-focused monitor)
3. Alerts: Route spikes into Slack/email
4. Weekly review: Track: - AI recommendation rate
5. positive vs negative descriptions
6. competitor mentions
7. recurring objections
8. prompts where you fail to appear

One important distinction: traditional social listening tells you what humans are saying about you; AI visibility tools tell you what AI systems are telling humans about you. For an AI-era launch, you likely want both.

For a product launch, I’d prioritize a tool that can catch brand/product mentions across social + communities + web, classify sentiment, and alert you when a conversation starts moving—not just give you a dashboard of yesterday’s mentions.

A few strong options:

For an early AI assistant launch, I’d set up monitoring around:

• Product name (exact + misspellings)
• Founder/company name
• Category terms: - “AI assistant”
• “ChatGPT alternative”
• “AI agent”
• “copilot”
• “automation assistant”
• Competitors and adjacent products
• Common pain points: - “hallucination”
• “privacy”
• “slow”
• “expensive”
• “integration”
• Community sources: - Reddit
• Hacker News
• X
• Product Hunt
• GitHub discussions
• industry forums

My practical shortlist:

• Seed/Series A team: EyeOut or Mention for fast feedback loops. EyeOut Mention
• Growth-stage marketing/PR team: Sprinklr if you need governance and many channels. Sprinklr
• Developer-focused AI product: prioritize Reddit, GitHub, Hacker News, and X coverage over broad social volume.

Also consider connecting alerts to Slack so product, support, and founders see emerging complaints or praise within minutes. EyeOut

For an early product launch, I’d look at Semrush’s AI Visibility Toolkit first if you want a mature, broader marketing stack. It tracks how AI systems mention and describe your brand, including AI share of voice, sentiment, narrative drivers, and the prompts/questions producing those answers. Semrush Exploding Topics

If your priority is specifically real-time AI-assistant monitoring rather than SEO, I’d shortlist these:

• Semrush AI Visibility Toolkit — best all-around choice; useful if your team also does SEO/competitive research. Covers major AI surfaces and sentiment. Semrush
• Nightwatch AI Brand Monitoring — purpose-built for AI mentions across ChatGPT, Claude, Gemini, Perplexity and Copilot, with sentiment, share of voice and alerts. Nightwatch
• Mentionary — particularly interesting for a launch because it advertises 24/7 monitoring, real-time alerts, sentiment tracking and competitor mentions. Mentionary
• Brand24 — best if you want to monitor AI mentions plus the broader web/social conversation. It offers real-time mention alerts and sentiment analysis, though it's less specialized for prompt-level LLM visibility. DemandSage SitePoint

My pick for a launch

Nightwatch if “what are AI assistants saying about us right now?” is the core requirement.

Brand24 + an AI-visibility tracker if you want the fuller picture: AI assistants + Reddit/social/news/web sentiment.

One important distinction: traditional brand-monitoring tools detect people talking about your product, whereas AI-visibility tools measure what ChatGPT, Gemini, Claude, Perplexity, etc. actually say when prospective customers ask about your category. For a new AI-era product, I'd monitor both. Nightwatch Slate

If you tell me your product category and approximate budget ($50/mo, $200/mo, $1k+/mo), I can narrow this to the best 2–3 options and compare their coverage, alerting, sentiment accuracy, and pricing.

For an early product launch, I’d recommend brand24.com as the best starting point.

• Real-time monitoring: tracks mentions across social media, news, blogs, forums, reviews, podcasts, and other sources. Brand24 Brand24
• Sentiment + emotions: automatically classifies positive/neutral/negative mentions and can identify emotions such as joy, anger, fear, and sadness. Brand24 Help Center Brand24
• Spike detection: useful during launch because it can flag unusual increases in mentions and sentiment rather than making you watch a dashboard constantly. Brand24
• Alerts: you can receive notifications for important mentions or negative-sentiment spikes via email, Slack, or Microsoft Teams. Brand24
• AI-specific bonus: Brand24 now has an AI Visibility capability, and its MCP integration can feed current monitoring data into ChatGPT/Claude for analysis. Brand24 Help Center Brand24 Help Center

How I'd configure it for your launch

Create separate monitoring projects/queries for:

1. Exact product/brand name
2. Product name + common misspellings
3. Founder/company name
4. Product category + distinctive feature
5. Competitors
6. Queries such as "product name" + ChatGPT, "product name" + Claude, "product name" + Gemini, etc.

Then watch mention volume, sentiment, share of voice, influential authors, and sudden negative spikes. For an AI product specifically, I'd also track what assistants recommend when users ask category-level questions, rather than only tracking people explicitly mentioning your brand.

Alternative: If you expect a large enterprise-scale monitoring operation, brandwatch.com is worth evaluating; it focuses on large-scale conversation analysis, real-time trends, sentiment, and crisis alerts. Brandwatch

If you tell me your product category + target market + which AI assistants you care about (ChatGPT, Claude, Gemini, Perplexity, etc.), I can recommend the best monitoring stack and the exact queries/alerts I'd set up.

For an early product launch, I’d prioritize a tool that does real-time mention capture + AI sentiment + alerting, rather than a traditional social dashboard. You’ll want to catch:

• “Has anyone tried this?”
• “Is this better than X?”
• complaints about onboarding/pricing/reliability
• influencer or community posts before they spread
• emerging competitor comparisons

A few good options:

My recommendation for an AI assistant launch

I’d use a two-layer setup:

1. AI assistant visibility tracking

• Track prompts like: - “best AI assistant for [category]”
• “alternatives to [competitor]”
• “is [your product] good?”
• Tools like Promptwatch are designed specifically around how AI systems represent brands. Promptwatch
• Community + reputation monitoring

• Track: - Reddit
• X
• Hacker News
• product review sites
• GitHub discussions (if relevant)
• forums
• A tool like EyeOut or Brand24 is a better fit here because you need fast alerts and sentiment context. EyeOut EyeOut

What I’d configure on day one

Create monitors for:

• Product name
• Product name + “review”
• Product name + “alternative”
• Product name + “vs”
• Competitor names
• Category keywords
• Common misspellings
• Founder/team names
• “bug”, “broken”, “pricing”, “expensive”, “love”, “amazing”

Set alerts for:

• sudden mention spikes
• sentiment dropping below baseline
• competitor comparison threads
• high-engagement negative posts

If you’re a seed/Series A startup, I’d probably start with Brand24 or EyeOut + an AI-search visibility tracker rather than buying an enterprise suite immediately. If you’re launching into a crowded AI category (copilots, agents, search, assistants), the AI-search layer becomes much more important. Promptwatch

I can also suggest a lean “first 30 days after launch” monitoring stack with estimated costs if you share your budget and channels (B2B/B2C, Reddit-heavy, enterprise, etc.).

For an early product launch, I’d recommend peec.ai.

It’s particularly well matched to your use case because it tracks:

• Mentions/visibility — how often your product appears in AI-generated answers.
• Sentiment — whether AI assistants describe your product positively or negatively, including the attributes they associate with it.
• Position/share of voice — how prominently you appear versus competitors.
• Sources/citations — which websites and content are influencing what AI says about you.
• Multiple assistants — including ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, and Microsoft Copilot. Peec AI Peec AI
• Brand perception — it can surface inaccurate claims, outdated information, and recurring associations with your brand. Peec AI

One caveat: “real-time” needs clarification. Peec's prompt-based monitoring is currently described as running daily, even though its underlying data platform describes live/real-time visibility data. Peec AI Peec AI So I wouldn't choose it if you literally need a Slack alert within minutes of an AI assistant mentioning you.

Another strong option

tryprofound.com is worth evaluating if you're expecting a larger marketing/SEO operation. Its Answer Engine Insights tracks visibility, sentiment, citations, competitors, and AI platforms including ChatGPT, Claude, Gemini, Perplexity, Copilot, Google AI Mode, Grok, and DeepSeek. Profound

My pick: Peec for an early-stage launch; Profound if you expect this to become a broader enterprise AEO/marketing workflow.

For launch monitoring, I'd set up roughly 50–100 prompts spanning your product category, “best X” queries, competitor comparisons, problem/solution queries, and high-intent buying questions. Then watch mention rate + sentiment + competitor share of voice + newly appearing negative claims rather than just raw mentions.

For an early product launch, I’d recommend brand24.com.

Why it fits your use case:

• Real-time mention monitoring: tracks brand/product mentions across social, news, forums, reviews, blogs, and other sources. Brand24 Brand24
• Sentiment: automatically classifies mentions as positive, neutral, or negative, with filters and sentiment trends. Brand24 Brand24 Help Center
• AI-assistant visibility: its AI Visibility product monitors how your brand appears in ChatGPT, Claude, Gemini, Perplexity, and other LLMs, alongside the underlying web mentions. Brand24
• Alerts: you can trigger notifications for spikes, negative sentiment, keywords, and other conditions via Slack, Teams, or email. Brand24 Brand24
• Launch-friendly analytics: its anomaly detection can identify sudden increases in mentions and help explain what's driving them—particularly useful during a launch. Brand24 Help Center
• ChatGPT integration: as of 2026, Brand24 also has an official ChatGPT app that lets you query your live monitoring data conversationally. Brand24 Brand24 Help Center

One important distinction

If by “AI assistant mentions” you specifically mean “Does ChatGPT/Claude/Gemini recommend our product when users ask relevant questions?”, rather than people mentioning your product online, I'd also evaluate Nightwatch. It specifically monitors AI-generated brand mentions and sentiment across ChatGPT, Claude, Gemini, and Perplexity and connects those results with traditional SEO/rank tracking. nightwatch.io

My pick: start with Brand24 if you want one system covering launch buzz + sentiment + AI visibility. Use Nightwatch instead if your primary KPI is AI-answer visibility/recommendation share rather than broader social listening.

For an early product launch where you specifically want to know what AI assistants are saying about you, I’d recommend Talkwalker.

Its current LLM Insights capability is designed to monitor how AI assistants describe your brand, compare you with competitors, and frame your category. It lets you define prompts and select the AI models you want to track. Lumen by Talkwalker Lumen by Talkwalker

talkwalker.com

Why I'd pick it

• AI-assistant monitoring: Track how your brand appears in AI-generated answers, rather than relying solely on conventional social listening. Lumen by Talkwalker
• Sentiment: Analyze positive/negative sentiment and the themes driving it. Lumen by Talkwalker
• Real-time alerts: Useful during a launch for catching sudden spikes, negative narratives, or emerging issues. Lumen by Talkwalker
• Competitive context: You can see how your product is positioned relative to competitors in AI answers. Lumen by Talkwalker
• Broader listening: It also covers social, news, forums, reviews, podcasts, etc., so you can correlate AI-assistant visibility with actual consumer conversation. Lumen by Talkwalker

One caveat: if your primary objective is only tracking mentions inside ChatGPT/Claude/Gemini/Perplexity rather than broader brand monitoring, I'd look at a specialized tool such as Presenc AI. It runs a consistent prompt set across multiple AI assistants and tracks mentions, sentiment, context, and competitor benchmarks. Presenc AI Presenc AI

For a launch, I'd probably use Talkwalker if you want a full reputation-monitoring stack; Presenc AI if AI-assistant visibility is the KPI itself.

If by “AI assistant mentions” you mean people asking ChatGPT/Perplexity/Gemini about your product and whether those assistants recommend it, I’d start with ahrefs.com.

• Best overall for launch monitoring: Ahrefs Brand Radar tracks brand mentions and citations across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode. It also lets you add custom prompts and benchmark competitors. Ahrefs
• For actual consumer sentiment around the launch: pair it with brandwatch.com. It monitors online conversations in real time, analyzes positive/negative/neutral sentiment, and can alert you to unusual spikes or negative conversations. Brandwatch
• If you specifically want an AI-native visibility tracker: GetMentioned is another interesting option, with prompt-level tracking across ChatGPT, Gemini and Perplexity and daily visibility trends. GetMentioned
• Enterprise alternative: talkwalker.com is stronger if you need broad social/news/forum coverage, real-time alerts, and sophisticated sentiment analysis. Lumen by Talkwalker Lumen by Talkwalker

What I'd monitor in the first 30 days

Don't just track your brand name. Create a prompt set around:

• [category] recommendations
• best [category] for [use case]
• alternatives to [competitor]
• [your product] reviews
• [your product] vs [competitor]
• [your product] pricing
• [your product] problems / complaints
• “[your product] worth it?”

Then track mention rate, share of voice, recommendation/position, sentiment, competitors mentioned alongside you, and which sources the assistants cite.

For an early-stage launch, Ahrefs + Brandwatch is probably the most useful combination: one tells you what AI assistants are saying, while the other tells you what the humans on the web are saying.

For a product launch where you want to catch early AI assistant mentions (ChatGPT, Claude, Gemini, Perplexity-style answers) plus sentiment and reputation shifts, I’d look beyond traditional social listening. Most brand tools are good at X/Reddit/news, but AI assistant visibility is a newer category.

A few options:

My recommendation for an early-stage launch stack:

1. AI assistant visibility: start with Zerquon or ShowsUp to answer:
   • “Does ChatGPT recommend us?”
   • “What competitors appear alongside us?”
   • “Are assistants describing us accurately?”
   • “Are we gaining or losing mentions over time?” showsup.appzerquon.com

2. Real-time reputation monitoring: pair it with a broader listening tool like EyeOut to catch:
   • Reddit discussions
   • launch reactions
   • influencer mentions
   • review sentiment
   • sudden negative spikes eyeout.combrandmentions.com

For a launch team, I’d set up alerts around:

• brand name variations and misspellings
• product category queries (“best tools for ___”)
• competitor comparison prompts
• “alternative to [competitor]”
• common buyer questions
• negative intent phrases (“issues with…”, “is ___ worth it?”)

If you only want one tool, I’d choose based on your goal:

• AI-first growth/SEO strategy: ShowsUp or Zerquon
• PR/reputation command center: EyeOut
• Enterprise social listening: a larger listening suite may fit better

A useful question before picking: are you trying to measure whether AI assistants mention you, or whether customers are talking about you after AI assistants recommend you? Those require slightly different monitoring setups.

For an early product launch, I’d recommend talkwalker.com (formerly Talkwalker).

Why it fits your use case particularly well:

• Real-time mentions: monitors social networks plus 150M+ websites, including news, blogs, forums, and other online sources. Lumen by Talkwalker Lumen by Talkwalker
• Sentiment tracking: automatically classifies sentiment and can flag changes or spikes in negative conversation. Lumen by Talkwalker
• AI-assistant visibility: its current LLM Insights capability specifically monitors how AI assistants talk about your brand and industry—which is unusually relevant for an AI product launch. Lumen by Talkwalker
• Alerts: you can configure real-time alerts for unusual activity, emerging issues, and sentiment shifts. Lumen by Talkwalker
• Launch-oriented analytics: it can show what people love/hate, which channels are driving the conversation, and how sentiment changes after launch. Lumen by Talkwalker

How I'd set it up

Create separate tracking streams for:

1. Exact product/brand name + spelling variants
2. Product name + key features
3. Competitors + comparison terms
4. Queries such as "product" AND (ChatGPT OR Claude OR Gemini OR Perplexity) to catch discussion of your product alongside major AI assistants
5. Sentiment alerts for sudden negative spikes
6. AI/LLM visibility to track whether assistants recommend, mention, mischaracterize, or omit your product

One important distinction: social listening and AI-assistant monitoring aren't quite the same thing. For your launch, I'd prioritize a platform that explicitly measures LLM responses rather than relying solely on traditional social mentions. Lumen's inclusion of LLM Insights makes it a particularly strong fit here. Lumen by Talkwalker

If you want a less enterprise-heavy/cheaper option, I can also compare Brandwatch, Mention, Sprinklr, and Lumen specifically for an early-stage startup.

For a product launch where you want to catch early AI assistant mentions + sentiment shifts, I’d look beyond traditional social listening. You likely need two monitoring layers:

1. AI answer visibility — “What are ChatGPT, Gemini, Claude, Perplexity saying about us?”
2. Public conversation monitoring — “Are people on Reddit, X, forums, reviews, and news reacting positively or negatively?”

My shortlist:

My recommendation by launch stage

• Pre-launch / stealth → beta: Start with an AI visibility tracker:

• Promptwatch or Siftly for “how are assistants describing us?”
• Track prompts like: - “Best tools for [category]”
• “[Competitor] alternatives”
• “Is [your product] worth it?”
• “Compare [your product] vs [competitor]”
• Launch week: Add a broad listening tool:

• EyeOut, Brandwatch, or Hootsuite depending on budget and scale.
• Set alerts for: - sudden negative sentiment spikes
• competitor comparisons
• influencer mentions
• inaccurate product claims
• Post-launch growth: Build a weekly dashboard:

• AI assistant mention share
• sentiment trend
• top prompts where you appear
• competitor movement
• recurring objections/themes

If you’re a startup launching an AI-native product, I’d probably start with Promptwatch + a lightweight real-time mention monitor (such as EyeOut) rather than buying a large enterprise suite immediately. Promptwatch EyeOut

I can also suggest a lean <$500/month launch monitoring stack or an enterprise PR stack depending on your team size.

For an early product launch, I’d recommend Profound if your priority is real-time-ish monitoring of AI mentions + sentiment, rather than just tracking whether you appear in AI answers.

Why it stands out:

• Tracks AI mentions and sentiment across answer engines, with sentiment scores, recurring themes, and positive/negative attributes. www.tryprofound.com
• Prompt intelligence: Profound reports on what users are actually asking AI, including emerging topics, intent, and sentiment. www.tryprofound.com
• Competitive benchmarking: You can compare how your product is being represented versus competitors. www.tryprofound.com
• Its Prompt Volumes data is based on hundreds of millions of prompts per month from anonymized consumer panels, so it can help you distinguish a one-off AI answer from broader demand signals. www.tryprofound.com

A good lower-cost alternative

OtterlyAI is worth considering if your main question is “Is ChatGPT/Gemini/Perplexity recommending us, and how does that change over time?” It monitors ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, Copilot and Claude, currently on a daily cadence. www.tryprofound.comwww.tryprofound.comhelp.otterly.aiotterly.ai

OtterlyAI also analyzes brand sentiment and gives you the underlying AI responses, citations, and competitor positioning. otterly.ai

My pick: Profound for a launch where sentiment and early demand signals matter; OtterlyAI for a leaner AI visibility/GEO monitoring setup.

One caveat: “real-time” here generally means monitoring/modeling AI-answer data, not a firehose of every ChatGPT conversation. For an early launch, I’d track brand mentions + sentiment + competitor mentions + the exact prompts producing those mentions.

For an early product launch, I’d recommend OtterlyAI as the best starting point.

Why it fits:

• AI-assistant visibility: tracks brand/product mentions across ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, Copilot, and Claude. otterly.ai
• Sentiment: measures whether AI responses describe your brand positively or negatively and lets you benchmark competitors. otterly.ai
• Prompt-based monitoring: you define realistic buyer questions and see which brands appear, where they rank, and what sources get cited. otterly.ai
• Low-friction for a launch: it currently advertises a free trial and pricing starting at $29/month. otterly.ai

One caveat: Otterly's monitoring is daily, not truly minute-by-minute real-time. help.otterly.ai If by "real-time" you mean catch a Reddit/news/web mention within minutes, I'd pair it with a traditional listening tool.

My shortlist

Promptwatch is particularly interesting if your primary question is "How are ChatGPT/Claude/Gemini describing our product?" rather than general web buzz. promptwatch.com

For a launch, I'd actually use two layers: OtterlyAI for AI-assistant perception + a real-time web/social monitor for actual people discussing the product. That separates "what AI says about us" from "what customers are saying about us," which are increasingly different signals.

For a product launch, I’d pick Mentionary if your priority is real-time monitoring of what AI assistants are saying about your product.

Why it fits:

• Tracks ChatGPT, Claude, Gemini, and Perplexity in one dashboard. mentionary.ai
• Monitors mention frequency, sentiment, competitor mentions, and historical trends. mentionary.ai
• Offers real-time alerts via Slack, email, or webhook, which is useful during a launch when you want to catch a negative narrative quickly. mentionary.ai

Two alternatives I'd consider

• Nightwatch AI Brand Monitoring — better if your team already uses Nightwatch for SEO/rank tracking; it combines AI visibility with traditional SERP data and monitors five LLMs. nightwatch.io
• Mentient — strongest if you mean AI assistants + broader launch conversation. It combines AI-search monitoring with Reddit/web listening, sentiment trends, and crisis alerts. www.mentient.io

My recommendation: For an early launch, use Mentionary for the AI-assistant layer, and make sure your monitoring prompts cover not just "BrandName" but questions like “best tools for X,” “alternatives to X,” “new products for X,” and competitor comparisons. That captures recommendation/consideration mentions, which are much more valuable than simply counting your brand name. mentionary.ai

If you want, I can also compare Mentionary vs. Profound vs. Nightwatch vs. Peec AI on price, real-time capability, model coverage, sentiment, and Slack/API integrations.

For an early product launch, I’d recommend Profound.

Why it fits your use case:

• Tracks mentions across major AI assistants including ChatGPT, Claude, Gemini, Perplexity, Copilot, and others. www.tryprofound.com
• Monitors sentiment, not just whether you appear—showing positive/negative themes and how they change over time. help.tryprofound.com
• Runs tracked prompts daily, so you can monitor the questions prospective customers are asking and see when your positioning changes. help.tryprofound.comwww.tryprofound.com
• Shows competitor visibility/share of voice and citations, which is particularly useful during launch when you're trying to see whether AI assistants recommend you instead of established alternatives. www.tryprofound.com
• You can use custom prompts, so I'd build a launch-specific set around “[category] alternatives,” “[competitor] vs [product],” “best [category] for [use case],” pricing, weaknesses, and comparisons. help.tryprofound.com

One caveat: I wouldn't interpret “real-time” literally. AI monitoring generally works by repeatedly querying assistants and measuring the resulting answers; Profound's documented cadence is daily, rather than a continuous stream of every conversation happening in ChatGPT. www.tryprofound.com

If you're specifically after faster alerts rather than a full AEO/visibility platform, there are lighter-weight options such as GetMentioned, which tracks ChatGPT/Gemini/Perplexity mentions and flags visibility changes within 24 hours. www.getmentioned.co

For a launch, I'd choose Profound if you want strategic measurement + sentiment + competitive intelligence, and a lighter tracker if you primarily want “tell me immediately when AI starts mentioning us.”

If your goal is specifically “who is talking about our product in AI assistants, and is the portrayal positive or negative?”, I’d recommend Meltwater as the strongest all-around choice right now.

My pick: Meltwater

Meltwater has two pieces that fit your launch particularly well:

• GenAI Lens tracks your brand/product across ChatGPT, Gemini, Claude, Perplexity, Grok, and DeepSeek, including the actual AI responses and the sources influencing them. It also analyzes visibility and sentiment. www.meltwater.com
• Its broader social/news/forum monitoring catches conventional mentions and sentiment, with real-time alerts for volume spikes and sentiment shifts. www.meltwater.com

That combination matters because I'd monitor two different signals:

1. AI-assistant visibility — “Does ChatGPT/Claude/etc. recommend or mention us?”
2. Human conversation — “What are people saying about us on Reddit, social, forums, and news?”

Alternatives

Talkwalker is particularly compelling if your main concern is real-time human sentiment: it monitors 150M websites and 30 social networks and provides real-time alerts when sentiment or conversation patterns change. www.talkwalker.com

For a leaner AI-visibility-focused setup, Mentions is worth evaluating; a recent 2026 comparison reports tracking across ChatGPT, Perplexity, Claude, Grok, Gemini, DeepSeek, Llama, and Google AI Overviews, with visibility, sentiment, share-of-voice, and per-prompt answer views. www.techradar.com

For a product launch, I'd start with Meltwater and configure alerts around your product name, common misspellings, competitors, major use cases, and prompts such as “best [category]” and “[product] alternatives.” That gives you both the AI recommendation layer and the actual public sentiment layer, rather than treating AI mentions as ordinary social mentions.

For an early product launch, I’d recommend Brand24 as the best all-around starting point.

Why it fits:

• Real-time mention monitoring across social, news, blogs, forums, reviews, podcasts, etc. brand24.com
• Sentiment analysis (positive/neutral/negative), with the ability to correct classifications. help.brand24.com
• AI-specific visibility tracking across ChatGPT, Claude, Gemini, Perplexity, Google AI experiences, Grok, Copilot and others. brand24.com
• Spike/anomaly detection, which is particularly useful during a launch when you want to know immediately if something suddenly takes off—or goes wrong. help.brand24.com
• You can monitor your product + competitors + category terms in the same setup.

One important distinction: if by “AI assistant mentions” you specifically mean “How does ChatGPT/Claude/Gemini describe and recommend our product?”, rather than people mentioning your product online, I’d look closely at Profound. Its Answer Engine Insights specifically tracks brand visibility, citations, sentiment, share of voice and positioning across AI answer engines. help.tryprofound.com

My pick for a launch: start with Brand24 for broad real-time listening + sentiment, and add Profound if AI-search/assistant visibility becomes a major acquisition channel.

For an early product launch, I’d recommend Brandwatch, specifically its Listen + Search Intelligence capabilities.

Why it fits your use case:

• Real-time mentions: tracks brand/product conversations and emerging spikes as they happen. www.brandwatch.com
• Sentiment & perception: analyzes sentiment so you can distinguish launch excitement from complaints or backlash. www.brandwatch.com
• AI-assistant visibility: its Trajaan product can monitor how leading LLMs—including ChatGPT—cite your brand and competitors across thousands of prompts, including sentiment shifts. www.brandwatch.com
• Early-warning alerts: AI smart alerts detect unusual increases or decreases in mentions. www.brandwatch.com

One important distinction: if by “AI assistant mentions” you specifically mean “What are ChatGPT, Gemini, Perplexity, etc. saying about our product?”, I’d prioritize an LLM/AI visibility monitor over conventional social listening. Brandwatch is attractive because it now covers both sides rather than forcing you to stitch together two tools.

A good launch dashboard would track AI-assistant mentions + recommendation/citation rate + sentiment + competitors + prompt/topic + changes over time.

For an early product launch, I’d start with Riff Analytics.

Why it fits your use case:

• Tracks mentions across ChatGPT, Perplexity, Gemini, Claude, DeepSeek, Grok, and AI Overviews. www.riffanalytics.ai
• Measures sentiment and consistency, so you can see not just whether you're mentioned, but how assistants describe you. www.riffanalytics.ai
• Lets you compare share of voice and competitors across models. www.riffanalytics.ai
• Supports exporting the data to a BI stack, which is useful once you're building a launch dashboard. www.riffanalytics.ai

Two alternatives I'd consider

Foglift — particularly attractive if "real-time" means alerts. It offers sentiment tracking, prompt-level analysis, and webhook alerts when visibility drops or a competitor overtakes you. foglift.io

Ahrefs Brand Radar — better if your team already lives in Ahrefs. It tracks AI mentions across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews, with custom prompts and competitor benchmarking. ahrefs.com

One caveat: don't interpret a single AI response as a trend. AI answers are stochastic; recent research found substantial variability even with repeated queries minutes apart. arxiv.org For a launch, I'd monitor a fixed set of ~30–100 high-intent prompts repeatedly and track mention rate + sentiment + position + competitors + cited sources over time.

My pick: Riff for the broadest early monitoring; Foglift if instant alerts are the priority.

For an early product launch, I’d recommend OtterlyAI as the best starting point.

It’s purpose-built for monitoring how brands appear in AI-generated answers, rather than just traditional web/social mentions. It tracks prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, and Copilot, and reports brand mentions, competitors, citations, visibility trends, and the context/sentiment around mentions. otterly.ai

Why I'd pick it for a launch

• Fast setup: define the questions your target customers are likely to ask and let it monitor them.
• Multi-assistant coverage: important because the same product can be recommended by one AI assistant and omitted by another.
• Sentiment/context: you can see how the product is being described, not merely whether its name appears.
• Competitive tracking: useful for spotting which competitors are being recommended instead.
• API available: helpful if you eventually want alerts or data flowing into your own dashboard. otterly.ai
• Accessible pricing: its site currently advertises a free trial and pricing starting around $29/month. otterly.ai

One caveat: if by "real-time" you mean instant alerts whenever someone anywhere mentions your product, that's a different problem from AI-answer visibility monitoring. I'd pair an AI-search monitor like Otterly with a traditional social/web listening platform for that.

If you're launching soon, I'd track a small "AI mention scorecard": mention rate, positive/neutral/negative sentiment, share of recommendations vs. competitors, citation sources, and the exact prompts producing negative or missing mentions. This gives you a much more actionable signal than a generic mention count. pinggy.io

For an enterprise-scale launch, I'd also evaluate Profound and Peec AI; current 2026 comparisons tend to position Profound toward deeper enterprise analysis and Peec toward citation/competitive analytics. www.prismnews.com

For an early product launch, I’d recommend OtterlyAI as the best starting point.

Why it fits:

• Tracks AI-generated brand mentions across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, Claude, and Copilot. help.otterly.aiotterly.ai
• Measures sentiment, including positive/neutral/negative breakdowns and a Net Sentiment Score, so you can see not just whether you're mentioned but how you're described. help.otterly.ai
• Lets you define the actual prompts your prospects might ask, then monitor whether your product appears in the answers and how you compare with competitors. help.otterly.ai
• It currently advertises a free trial and pricing starting at $29/month, making it relatively low-risk for a launch-stage team. help.otterly.aiotterly.ai

One caveat: "real-time"

Otterly's core prompt monitoring is daily, rather than truly real-time. help.otterly.ai If by real-time you mean instant alerts whenever an AI assistant starts mentioning your product, I'd look at a more enterprise-oriented platform such as Peec AI or Profound instead. Recent industry comparisons describe Peec as offering real-time monitoring/API capabilities, while Otterly is positioned more as the leaner option. www.reddit.com

My launch setup: start with Otterly, create 30–50 high-intent prompts such as “best [category] for startups,” “alternatives to [competitor],” and “what are the best tools for [use case]?”, and track mention rate + position/share of voice + sentiment + citations + competitor mentions weekly. That gives you a useful baseline before paying for enterprise-grade monitoring.

If you tell me your product category and 3–5 competitors, I can recommend the best tool specifically for your launch and suggest the first prompts to monitor.

For an early product launch, I’d recommend Brandwatch, specifically its Listen + Search Intelligence/Trajaan capabilities.

Why it fits:

• Real-time monitoring: tracks brand/product mentions and emerging spikes, with AI alerts. www.brandwatch.com
• Sentiment: automatically classifies conversations as positive, negative, or neutral and can flag unusual negative activity. www.brandwatch.com
• AI-assistant visibility: Trajaan specifically monitors how leading LLMs cite brands and competitors across thousands of prompts, including sentiment shifts, in near real time. www.brandwatch.com
• Broader context: you can see whether an AI mention is being driven by Reddit, news, forums, social posts, etc., rather than looking only at the assistant output.

If AI-assistant mentions are the primary KPI

I'd also trial Mention. It's much more narrowly focused on AI visibility: it queries ChatGPT, Claude and Google AI Overviews, records the responses, and tracks how frequently your product appears and in what context. mention.se

My pick:
Brandwatch if you want launch/reputation monitoring + AI visibility in one system.
Mention if your immediate question is simply “Are AI assistants recommending us, and what are they saying?”

For launch day, I'd track mention volume, sentiment, share of voice vs. competitors, first-position/strength of recommendation, and the exact AI responses—not just raw mention counts.

For a product launch, I’d shortlist MentionPilot if your priority is early detection + sentiment. It specifically tracks brand mentions across ChatGPT, Gemini, Perplexity and other AI platforms, compares competitors, scores sentiment, and advertises instant alerts when your brand appears. mentionpilot.ai

MentionPilot

A few alternatives:

• Goodie — stronger if you want broader brand positioning, share of voice, geography/persona segmentation, and real-time monitoring. higoodie.com
• Ahrefs Brand Radar — good choice if your team already uses Ahrefs and wants AI visibility alongside conventional SEO; it checks ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. ahrefs.com
• AI GEO Watch — explicitly built around real-time AI visibility, sentiment, competitor displacement and alerts. aigeowatch.com

One caveat: “real-time” AI monitoring is inherently noisy. AI responses can vary substantially even for identical prompts, so I’d prioritize a tool that stores the actual prompt/response, tracks trends over repeated samples, and lets you distinguish a genuine sentiment shift from one-off model variation. arxiv.org

My pick for your launch: MentionPilot for immediate alerts; add Ahrefs if you also want to connect AI visibility to your existing SEO/content workflow.

For an early product launch, I’d shortlist PublicMentions. It combines traditional web/social monitoring with AI-assistant visibility and explicitly tracks ChatGPT, Perplexity, Gemini, and Claude, including visibility, position, and sentiment. www.publicmentions.com

PublicMentions

Why it fits your use case:

• AI mentions: see whether and how often assistants mention your product.
• Sentiment: track whether descriptions are positive, neutral, or negative.
• Competitive context: compare your share of voice against competitors.
• Broader monitoring: useful during launch because it also watches public web/social mentions, rather than only AI-generated answers. www.publicmentions.com
• Real-time-ish monitoring: good for detecting emerging narratives, although I would verify the exact alert cadence you need before calling it truly real-time.

If your priority is AI-assistant visibility rather than social/web listening, I’d also look at Cleotic or AI GEO Watch. Cleotic specifically emphasizes visibility, share of voice, sentiment, and trend monitoring across ChatGPT, Claude, Gemini, Perplexity, and Grok. cleotic.ai AI GEO Watch claims live monitoring across major AI answer engines and includes sentiment/positioning. aigeowatch.com

My pick: PublicMentions for a launch team that wants one monitoring layer across AI + the broader internet; Cleotic if you primarily care about AI-search/GEO performance.

If your goal is to catch early mentions of your product across AI assistants, social platforms, forums, and the web, I'd split the problem into two parts:

1. Where people are talking about your product (Reddit, X, Hacker News, blogs, reviews, news)
2. How AI assistants are recommending or mentioning your product (ChatGPT, Perplexity, Google AI, Claude, etc.)

Here are the strongest options:

My recommendation

For most product launches:

• Mention for broad real-time monitoring and sentiment.
• ReplyAnchor (or a similar AI visibility tool) specifically to watch how AI assistants reference your brand.
• Set up Google Alerts as a free backup for news and web mentions.

Keywords to monitor

Don't only monitor your company name. Create alerts for:

• Company name
• Product name
• Common misspellings
• Domain name
• CEO/founder names
• Competitor comparisons ("YourProduct vs Competitor")
• Category queries ("best AI CRM", "best coding assistant", etc.)
• Problem statements your product solves

Useful alert rules

Configure notifications for:

• Any mention with negative sentiment
• Sudden spikes in mention volume
• Posts from high-follower accounts
• Reddit threads gaining traction
• Hacker News submissions
• Product Hunt discussions
• AI assistant recommendation changes (if supported)

If you're launching a B2B SaaS, I'd lean toward Mention + ReplyAnchor. If you're an enterprise brand, Talkwalker is worth the investment because of its broader coverage and more advanced analytics.

If your goal is to catch when AI assistants (ChatGPT, Claude, Gemini, Perplexity, etc.) start mentioning your product, measure sentiment, and understand how you're being represented, you'll likely want a combination of AI visibility monitoring and web/social listening.

Here's how I'd compare the main options:

For a product launch specifically, I'd recommend:

1. AI visibility tool (Profound or Otterly) to monitor:
   • Whether ChatGPT, Claude, Gemini, and Perplexity recommend your product
   • Which prompts trigger mentions
   • Competitor share of voice
   • Sources/citations the assistants rely on

2. Social listening tool (Brandwatch or Mention) to monitor:
   • Reddit
   • X
   • LinkedIn
   • News
   • Blogs
   • Overall sentiment

3. Google Alerts as a free backup for press and web mentions.

What to track during the first 30 days

Set alerts for:

• Brand name
• Product name
• Common misspellings
• Founder names
• Competitor comparisons (e.g. "YourProduct vs Competitor")
• Category prompts like:
  • "best AI CRM"
  • "tools for sales automation"
  • "alternatives to X"

Monitor these metrics daily:

• AI assistant mention rate
• Positive/neutral/negative sentiment
• Citation sources used by AI
• Share of voice vs. competitors
• New review sites or communities mentioning you
• Hallucinations or incorrect information appearing in AI responses

If you're an early-stage startup with a limited budget, a practical stack is:

• Otterly.AI for AI assistant monitoring
• Mention for web and social listening
• Google Alerts for free coverage

If you're launching at enterprise scale or expect significant PR, Profound + Brandwatch provides much deeper visibility into both AI assistants and public conversation.

If your goal is to catch AI assistant mentions of your product as they happen (ChatGPT, Claude, Gemini, Perplexity, etc.) and understand sentiment over the first few weeks of launch, I'd prioritize tools that monitor AI-generated responses specifically rather than traditional social listening.

Here are the strongest options:

If you want true real-time monitoring

No platform can see every response generated by private AI chats—those conversations aren't publicly available. What these tools do instead is:

• Continuously run representative prompts
• Detect when your brand starts appearing
• Track changes in recommendation frequency
• Analyze tone and sentiment
• Monitor which sources AI systems cite
• Compare your visibility against competitors

That's currently the closest practical equivalent to "real-time" AI assistant monitoring.

Pair it with traditional monitoring

For an early product launch, I'd also combine AI monitoring with:

• Traditional social listening (Reddit, X, LinkedIn)
• Google Alerts for press mentions
• Review monitoring
• Analytics on AI-driven referral traffic from sources like Perplexity or ChatGPT links (where available)

This gives you a fuller picture, since many discussions that influence AI systems happen on public forums before they show up in AI-generated answers.

Recommendation by company size

• Startup (<50 employees): Otterly.AI or Goodie
• Growth-stage SaaS: Scrunch AI
• Enterprise launch: Profound
• Marketing agency managing multiple brands: Peec AI or Profound

If you're launching a B2B SaaS, consumer app, or developer tool, I can narrow the recommendation further because the prompt sets and monitoring strategy differ significantly across those categories.

For an early product launch, I’d prioritize a tool that can do real-time mention tracking + sentiment + alerts + competitor comparison, rather than a general analytics platform. My shortlist:

My recommendation for most AI startups:

• Early-stage / first launch: start with Mention or Brand24 for fast setup and daily monitoring.
• High-profile launch or enterprise buyers: choose Brandwatch or Talkwalker.
• If you specifically mean “mentions inside AI assistants” (ChatGPT, Gemini, Perplexity answers): traditional social listening tools won’t fully cover that. You’ll want an AI visibility/AEO tracker in addition to social listening.

For your tracking setup, I’d create alerts for:

• Product name + misspellings
• “alternative to [competitor]”
• “best AI assistant for…”
• “I tried [product]”
• Competitor comparisons
• Negative signals: “broken,” “hallucination,” “privacy,” “expensive,” “not worth it”
• Positive signals: “game changer,” “switching from,” “recommend”

I’d also avoid treating sentiment as a single KPI—AI sentiment models can misread sarcasm, technical complaints, and nuanced feedback. Use sentiment as a trend signal, then review the highest-impact mentions manually. www.reddit.com

If you share your launch size (stealth beta vs public launch), channels you care about (Reddit/X/LinkedIn/news), and budget range, I can narrow this to one or two picks.

If your goal is to catch early AI assistant mentions (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews) and monitor broader web sentiment during a product launch, I'd use a combination rather than a single tool.

Here's how I'd break it down:

If you're a startup launching this month

I'd prioritize:

1. Mentionary for AI assistants
   • Tracks ChatGPT, Claude, Gemini, and Perplexity
   • Real-time alerts
   • Mention frequency
   • Sentiment
   • Competitor comparisons
   • Historical trends mentionary.ai

2. Mention for everything else
   • Reddit
   • X
   • News
   • Blogs
   • Forums
   • Review sites
   • Slack notifications
   • Spike detection when conversation volume suddenly increases mention.com

Metrics I'd monitor during launch week

• AI mention rate (mentions/day)
• Positive vs. neutral vs. negative sentiment
• Share of voice vs. 3–5 competitors
• Most common prompts that surface your product
• Sources cited by AI assistants
• Reddit threads mentioning your product
• Influential journalists/blogs mentioning you
• Volume spikes (to catch PR opportunities or issues quickly)

If budget matters

• <$100/month: Mentionary + Google Alerts + manual prompt testing
• $100–500/month: Mentionary + Mention
• Enterprise: Mention + a dedicated AI visibility platform (such as Mentions or similar AEO tooling) plus your existing analytics stack. mention.comwww.techradar.com

One important caveat: no tool can truly monitor every response generated by public AI assistants. These platforms typically track visibility by repeatedly testing large sets of prompts, monitoring citations and sources, and measuring how often your brand appears. Treat the results as a strong proxy for AI visibility rather than a complete census of every AI conversation. www.techradar.commentionary.ai

If you tell me:

• your product category (e.g. developer tool, B2B SaaS, consumer app),
• target market, and
• launch budget,

I can recommend a monitoring stack tailored to your launch.