ChatGPT answers, unedited

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 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.

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.

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.