ChatGPT answers, unedited

If your goal is specifically “tell me when ChatGPT/Claude/Gemini/etc. says something negative or factually wrong about our brand”, I’d put tryprofound.com at the top of the shortlist.

My ranking

Why I’d choose Profound

Profound goes beyond simply counting whether your brand was mentioned. Its Answer Engine Insights product analyzes how AI describes your brand, sentiment, positioning, share of voice, and the sources behind the answers. Profound Knowledge Base Profound Knowledge Base

More importantly for your question, Profound explicitly has a FactCheck capability designed to surface inaccurate claims and their sources, so your team can investigate and correct the underlying narrative. Profound

That's a meaningful distinction. There are really three different problems:

1. Visibility: “Did ChatGPT mention us?”
2. Reputation: “Did ChatGPT describe us negatively?”
3. Accuracy: “Did ChatGPT say something demonstrably false about us?”

A lot of AI-visibility products are excellent at #1 and increasingly good at #2. #3 is the harder problem, and that's where I'd prioritize Profound.

Where OtterlyAI fits

otterly.ai is probably the alternative I'd test first if you don't need an enterprise-grade intelligence layer.

It monitors prompts daily across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Claude and Copilot, and provides brand coverage, sentiment, mentions, citations, competitors, and the underlying response. Otterly AI Otterly AI

Its approach is also interesting: it interacts with AI platforms through their public interfaces rather than relying exclusively on APIs, arguing that this more closely represents what users actually see. Otterly AI

So I'd choose:

• Profound → if this is a serious brand/reputation/communications function.
• OtterlyAI → if you primarily want affordable continuous monitoring and alerts.
• Custom system on top of an AI-monitoring API → if you need automated workflows such as “detect false claim → verify against our approved facts → assign to PR/legal/product → track whether the claim disappears.”

One important caveat

No tool can reliably tell you that an AI statement is factually inaccurate without some authoritative reference point. For example, “Our product is unreliable” is partly subjective, while “Company X acquired us in 2024” is objectively verifiable.

For a mature monitoring program, I'd therefore want the system to maintain a canonical fact base for your company—approved facts, product specifications, pricing, leadership, policies, competitors, discontinued products, etc.—and compare AI responses against it.

That gives you a much more useful alert:

ChatGPT / prompt: “What are the best alternatives to X?”
Claim: “X doesn't support SSO.”
Status: ❌ Incorrect
Canonical source: X security documentation
Severity: High
First detected: Aug 22
Engines: ChatGPT, Perplexity
Citations influencing claim: [sources]
Recommended action: Update/correct source content and monitor recurrence

If you tell me your company size, industry, approximate number of brands/products, and whether you need alerts vs. a dashboard, I can narrow this down to the 2–3 solutions I'd actually evaluate and compare their current pricing/features.

If your goal is specifically “tell me when ChatGPT/Claude/Gemini/etc. says something negative, false, or outdated about our brand”, I’d choose a dedicated AI-visibility/answer-monitoring platform, rather than traditional social listening.

My shortlist

The current market generally separates into lightweight trackers such as Otterly, mid-market platforms such as Peec, and enterprise platforms such as Profound. trustdata.techmentionsapi.com

But there's an important distinction

Most AI-visibility products answer:

“Did an AI mention my brand, and how often?”

Your requirement is more sophisticated:

“Did an AI make a materially negative or inaccurate claim about my brand, and can I prove that claim is wrong?”

For that, I'd prioritize a system that captures the complete answer + prompt + model + citations/sources + timestamp, then lets you classify the claim against your approved facts.

For example, you want alerts like:

🚨 High priority

ChatGPT — “Acme has discontinued Product X.”
Classification: False
Evidence: Acme product catalog, updated Aug. 20, 2026
Impact: High
Recommended action: Review cited third-party source + publish/update authoritative documentation

rather than simply:

“Acme sentiment: -0.32”

That distinction matters because AI answers can vary by prompt and model, and different engines can draw on substantially different sources. trustdata.techmentionsapi.com

What I'd buy

If you're a large/enterprise brand: start with Profound. It is designed for deeper AI-search telemetry and broad prompt/answer monitoring, and is consistently positioned as the enterprise option in current comparisons. geodocs.dev

If you're a mid-sized marketing/communications team: I'd trial Peec AI alongside Profound. Peec is more lightweight and focuses on monitoring mentions, position, sentiment, citations and competitors. www.prismnews.com

If you mainly want inexpensive monitoring: Otterly.AI is compelling; current comparisons put its entry tier around $29/month, although engine coverage and prompt volume depend on the plan/add-ons. loudmink.ai

If “inaccurate” is the key word: I'd also investigate Senso.ai. Its positioning is explicitly around verified ground truth, citation accuracy and auditability rather than merely counting mentions. cited.md

The architecture I'd recommend

For a serious brand-reputation program, I'd actually use two layers:

1. AI answer monitoring

• ChatGPT
• Claude
• Gemini
• Perplexity
• Copilot
• Google AI Overviews / AI Mode
• optionally Grok

2. Accuracy/reputation layer

• Detect brand/product/entity mentions
• Extract individual factual claims
• Classify sentiment and severity
• Compare claims against your authoritative facts
• Verify cited sources
• Alert only on material inaccuracies
• Keep historical answer snapshots
• Track whether the problem persists after remediation

That gives you AI reputation monitoring, rather than merely AI visibility tracking.

If you tell me your company/brand, approximate size, and whether this is for PR/comms, marketing, legal/compliance, or customer support, I can narrow this to the 2–3 best solutions and compare their actual capabilities and pricing.

If your goal is specifically “tell me when ChatGPT/Gemini/Perplexity/etc. says something negative or factually wrong about our brand”, I’d shortlist these:

My recommendation: Profound

Profound is probably the best fit if this is a brand-protection / communications use case rather than simply SEO reporting.

Its Answer Engine Insights specifically analyzes how your brand is represented in AI answers, including sentiment, citations, share of voice and positioning, and it queries answer engines regularly to build a historical dataset. help.tryprofound.com

It also currently monitors a particularly broad set of engines—including ChatGPT, Perplexity, Gemini, Claude, Copilot, Grok and Google AI surfaces—and says it captures responses from the consumer experience rather than relying solely on model APIs. www.tryprofound.com

That matters because “negative” and “inaccurate” are different monitoring problems:

• Negative: “Brand X has terrible customer service.”
• Inaccurate: “Brand X was founded in 1998.” (when it wasn't)
• Misleading: technically true information presented without important context.
• Competitive: AI recommends a competitor while omitting your brand.
• Citation problem: AI makes a claim about you but cites an outdated or poor-quality source.

I'd therefore prioritize a platform that lets you inspect the actual answer + sources + historical change, rather than one that merely counts brand mentions.

If you want something simpler/cheaper: OtterlyAI

OtterlyAI is particularly attractive for a monitoring-first implementation. It currently runs tracked prompts daily across ChatGPT, Google AI surfaces, Perplexity, Gemini, Copilot and Claude, and reports whether your brand was mentioned, how it was described, and how it compares with competitors. help.otterly.ai

Its brand detection also lets you define brand-name variations and competitor names. www.tryprofound.comhelp.otterly.aiwww.axios.com

So I'd think of the choice this way:

Enterprise brand protection → Profound
Fast, affordable monitoring → OtterlyAI
Agency/mid-market → Peec AI
Monitoring + optimization workflows → AthenaHQ

One important caveat: no platform can reliably monitor every possible ChatGPT conversation. These systems monitor controlled sets of prompts/questions and the resulting AI answers. So the quality of your prompt library is crucial. Current research also shows that AI-answer visibility is volatile and differs substantially between engines, which makes multi-engine monitoring preferable to watching ChatGPT alone. www.axios.com

If you tell me your company size, approximate number of brands/products, and whether this is primarily PR/brand protection, SEO/GEO, or legal/compliance, I can narrow this to the top 2–3 and compare pricing, alerting, sentiment accuracy, API access, and integrations.

If your specific goal is “tell me when ChatGPT/Claude/Gemini/Perplexity says something negative, misleading, or factually wrong about our brand”, I’d prioritize AI-answer monitoring over traditional social listening or SEO monitoring.

My shortlist

Current comparisons consistently put Profound toward the enterprise/depth end, while Scrunch emphasizes alerting and Otterly emphasizes accessible multi-engine monitoring. www.trylyra.ai

What I'd actually buy

If you're a larger brand: I'd start with Profound.

The important distinction is that you don't merely want a dashboard saying “Brand X was mentioned 37 times.” You want to capture the actual answer, identify the claim being made, determine whether it's negative/inaccurate, identify the source/citation behind the claim, and track whether the problem persists across engines and prompts. Profound is particularly strong for the deeper enterprise visibility/analytics layer. www.trylyra.aibaarely.com

If rapid detection is the #1 requirement: I'd seriously evaluate Scrunch. Its positioning is more oriented toward alerts/signals and sentiment, which maps closely to “something bad just appeared in an AI answer—tell me.” www.trylyra.aipressfit.ai

If you want to prove the use case cheaply first: OtterlyAI is a sensible starting point. It currently monitors ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude API, and provides prompt-level brand monitoring. otterly.ai

One important caveat

I'd make “inaccuracy detection” a separate requirement during your evaluation.

Many AI-visibility products are fundamentally measuring:

Was the brand mentioned? Was it cited? Where did it rank? What is the sentiment?

That's not the same as:

“This statement about our company is factually false because X.”

The latter requires claim extraction + verification against your authoritative information, ideally with an approval/workflow layer. The market still has a gap between monitoring what AI says and reliably determining whether what it says is true. attrifast.com

So my recommendation would be:

Profound + a custom/automated fact-checking layer if this is a serious brand-risk program.

If you tell me your company type, approximate size, and which AI surfaces matter most (ChatGPT only vs ChatGPT + Gemini + Perplexity + Claude, etc.), I can narrow this to the best 2–3 solutions and compare pricing, alerts, sentiment, hallucination/inaccuracy detection, API access, and integrations.

If your goal is specifically “tell me when an AI answer says something negative, false, outdated, or misleading about our brand”, I would not choose a generic AI-visibility tracker solely on mention volume.

My shortlist

Senso is particularly interesting because its monitoring is centered on whether AI statements can be checked against verified ground truth, rather than simply counting mentions. That distinction matters enormously if you're trying to catch inaccurate claims. cited.md

AthenaHQ is another strong candidate for an enterprise brand because current comparisons specifically identify hallucination detection, competitor monitoring, cross-platform visibility and governance controls as part of its offering. cited.mdtechnologyadvice.com

Profound is probably the strongest choice if you want a much broader AI-search intelligence platform—prompt volumes, citations, sentiment, visibility, and agent/crawler analytics—not just reputation monitoring. cited.mdtechnologyadvice.com

What I'd prioritize

For your use case, I'd score vendors on these five things:

1. Answer-level monitoring — stores the actual AI response, not just “brand mentioned.”
2. Accuracy/ground-truth checking — can you define the facts the AI should say and automatically flag deviations?
3. Negative sentiment / harmful claims — catches things like “Brand X has terrible customer service” or false allegations.
4. Change alerts — tells you when an answer changes materially.
5. Source/citation attribution — identifies why the model is saying it, so your team can address the underlying source.

This is important because AI visibility platforms increasingly measure mentions, citations, sentiment and competitive share of voice, but monitoring visibility isn't necessarily the same as monitoring factual accuracy. technologyadvice.com

My recommendation

If reputation risk is the primary problem → Senso.ai.

If you're a large brand and want reputation + enterprise AI-search/GEO → AthenaHQ or Profound.

If you're primarily a marketing team trying to understand how ChatGPT/Perplexity/Gemini describe you → Profound or OtterlyAI.

I'd also be careful about relying on a single platform. AI answers vary by prompt, model, location, and time, so a meaningful monitoring program should repeatedly test a controlled library of real customer questions, rather than simply searching for your brand name. siftly.ai

If you tell me your company size, approximate monthly budget, and which AI surfaces matter most (ChatGPT only vs. ChatGPT + Gemini + Perplexity + AI Overviews), I can narrow this to the top 2–3 and compare their actual capabilities/pricing.

If your goal is specifically “tell me when ChatGPT/Gemini/Perplexity/etc. says something negative, false, or misleading about our brand”, I’d shortlist these differently from generic “AI visibility” tools.

My ranking

1. Profound — my pick for a serious enterprise program

Profound is the one I'd investigate first if brand reputation and factual accuracy are business-critical. It is designed around monitoring how AI systems represent brands, with deeper enterprise-level analysis and visibility into the underlying sources/citations. Current comparisons consistently put it at the enterprise end of this category. loudmink.ai

The important distinction is that you don't just want:

“Did ChatGPT mention us?”

You want:

“What exactly did ChatGPT say about us, was it positive/negative/neutral, what factual claim was made, which source appears to have influenced it, and is this changing over time?”

That's the level I'd expect an enterprise solution to support.

2. Semrush — probably the easiest recommendation for most marketing teams

Semrush AI Visibility

Semrush now tracks brand mentions, sentiment, narratives, citations and competitor visibility across ChatGPT, Gemini, Perplexity and Google's AI surfaces. It also lets you track specific prompts over time. www.semrush.comwww.semrush.com

That makes it particularly attractive if you already use Semrush: you get traditional SEO + AI reputation monitoring in the same environment.

Its Brand Performance functionality specifically analyzes the sentiment and narratives AI platforms associate with your brand. www.semrush.comwww.semrush.com

3. Peec AI — especially good if “negative” is the key word

Peec is worth a serious look if you care more about brand perception and sentiment than technical crawler/AI-search infrastructure. Current comparisons highlight its sentiment analysis, multilingual monitoring and citation analysis as particular strengths. loudmink.ai

I'd favor it over Otterly when your question is:

“How is AI describing our brand?”

rather than simply:

“How visible are we in AI answers?”

4. Otterly — excellent inexpensive starting point

Otterly.ai

Otterly is attractive if you want to get monitoring running quickly without an enterprise commitment. It tracks mentions, sentiment, rankings and cited URLs across major AI search engines. loudmink.ai

The limitation is that it's more of a monitoring/diagnostic layer than a complete reputation-management system.

One important caveat

I'd not buy a tool based solely on its “AI visibility score.”

For your use case, I'd require these capabilities:

1. Full answer capture — not merely “brand mentioned: yes/no.”
2. Claim-level detection — identify what the AI actually claimed.
3. Sentiment/context — distinguish “negative” from legitimate criticism or a neutral description.
4. Factuality workflow — flag claims your team considers demonstrably false.
5. Source/citation tracing — determine where the model appears to have gotten the information.
6. Prompt monitoring — branded queries and category/comparison queries.
7. Model coverage — ChatGPT, Gemini, Claude, Perplexity, Copilot and Google AI surfaces.
8. Historical snapshots — so you can prove that a narrative changed.
9. Alerts — notify someone when a material negative/inaccurate claim appears.
10. Human review — because AI-generated “sentiment” and “inaccuracy” classifications themselves can be wrong.

This last point is important: monitoring an AI's answer is not the same as determining whether the answer is factually correct. You ideally want a workflow that goes:

AI answer → extracted claim → evidence/source → severity → human verification → alert/workflow.

What I'd choose

Enterprise / reputation-sensitive brand: Profound
Marketing/SEO team wanting the broadest practical solution: Semrush
Brand perception + sentiment is the primary concern: Peec
Small team / testing the concept: Otterly

If you tell me your company size, approximate budget, number of brands/products, and which AI models matter most, I can narrow this down to the 2–3 best options and compare them feature-by-feature for negative/inaccurate-mention monitoring specifically.

If your primary problem is detecting negative or factually inaccurate statements about your brand in ChatGPT, Gemini, Claude, etc., I’d put Profound at the top of the shortlist.

My ranking for your use case

1. Profound — best fit

Profound is unusually well aligned with what you're describing. Its Answer Engine Insights specifically includes “Ensure AI Accuracy”, and its FactCheck capability identifies inaccurate claims and the sources behind them. It also analyzes the actual AI responses, rather than just traditional search rankings. www.tryprofound.com

That matters because I'd want your monitoring system to distinguish:

• “Our brand wasn't mentioned” → visibility issue
• “Our brand was described negatively” → reputation issue
• “AI said we don't offer X, but we do” → factual accuracy issue
• “AI attributed our product to a competitor” → competitive issue
• “AI cited an outdated/incorrect third-party page” → source/narrative issue

Profound also says it queries answer engines directly and runs tracked prompts daily, which is particularly useful when answers can change from one query to another. www.tryprofound.com

Profound — Answer Engine Insights

2. Scrunch — strongest alternative

I'd choose Scrunch if you want a broader AI visibility + brand monitoring platform. It tracks presence, position, sentiment, citations and the actual AI responses, and currently supports ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews/AI Mode, Copilot, Grok and Meta AI. scrunchai.com

Its prompt-level monitoring is particularly useful for building a library of questions customers might ask about your company and then reviewing exactly what each AI says. www.tryprofound.comscrunch.compeec.ai

Scrunch — Monitoring Platform

3. Peec AI — good if this sits within SEO/GEO

Peec does visibility, position, sentiment, share of voice and source analysis, and distinguishes between brand visibility (being mentioned) and source visibility (your content being cited). That's useful, but I'd favor Profound or Scrunch if inaccurate claims/reputation are the central problem. peec.ai

Peec AI — AI Visibility

What I'd actually buy

If you're a brand/PR/corporate communications team, I'd start with Profound.

If you're an SEO/GEO team that also wants to monitor AI traffic, citations and broader AI-search performance, I'd seriously consider Scrunch.

The key requirement I'd put into an evaluation/demo is:

“Show me every negative or potentially inaccurate statement the major AI assistants are currently making about our brand, the exact prompt that produced it, the model/platform, the source supporting the claim, and whether the claim has changed over time.”

That's a much better test than simply asking which platform has the highest “AI visibility” score.

If your specific problem is “tell me when ChatGPT/Claude/Gemini/etc. says something negative, misleading, or factually wrong about our brand”, I’d shortlist Profound, Peec AI, and OtterlyAI—but they have different strengths.

My recommendation

I'd pick Profound if this is a serious brand-reputation program. Its Answer Engine Insights dataset tracks how your brand is represented across AI answer engines and includes sentiment, positioning, citations, visibility and share of voice, with prompts run daily. help.tryprofound.com

Peec AI is probably the most interesting alternative if “negative” is your primary concern. It explicitly exposes sentiment alongside visibility and position, and its ChatGPT tracker analyzes mentions and the sources influencing the answers. peec.ai

OtterlyAI is the one I'd consider for a lower-cost deployment. It monitors ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Copilot and Claude, runs prompts daily, and provides prompt-level sentiment and the actual response/citation detail. help.otterly.ai

The important caveat

None of these should be treated as a perfect “AI misinformation detector.” Sentiment is relatively straightforward; determining that an answer is factually inaccurate requires comparing the AI response against a trusted source of truth.

For your use case, I'd want the system to do this:

Prompt → AI answer → brand mention detected → claim extracted → sentiment → factuality check → severity → alert

For example:

“Brand X was acquired by Company Y in 2024.”

The monitoring system should flag that as a high-priority factual claim, check it against your approved corporate facts, and alert your communications/legal/marketing team if it conflicts.

That's more valuable than simply measuring “brand sentiment = −0.4.”

What I'd evaluate in a vendor demo

Ask each vendor to demonstrate these five things with your actual brand:

1. Exact answer capture — Can you see the full AI answer, not just a score?
2. Claim-level detection — Can it identify what the AI said that is wrong?
3. Sentiment/context — Can it distinguish “negative because of a legitimate complaint” from “negative because of an incorrect claim”?
4. Source attribution — What websites, Reddit posts, reviews, etc. appear to be causing the inaccurate answer?
5. Alerts/API — Can you automatically push serious inaccuracies into Slack, Teams, Jira, Salesforce, or your PR workflow?

That last part is particularly important because AI answers vary by prompt, location, session and account context. Otterly, for example, explicitly notes that its results are a neutral baseline and may differ from an individual's ChatGPT experience. help.otterly.ai

Bottom line:

• Enterprise reputation/brand intelligence → Profound
• Best balance of sentiment + actionable AI-search analysis → Peec AI
• Broad monitoring at a more accessible price → OtterlyAI

If you tell me your company size, number of brands/products, which AI platforms matter (ChatGPT only vs. ChatGPT + Gemini + Perplexity + Claude), and whether you need real-time alerts, I can narrow this to the best 1–2 and compare pricing, coverage, APIs, alerts, sentiment/factuality capabilities, and implementation effort.

If your specific problem is “Tell me when ChatGPT/Claude/Gemini/etc. says something negative, misleading, or factually wrong about our brand”, I’d shortlist Profound first, with OtterlyAI as the best lower-cost alternative.

My ranking

Why Profound is my pick: its Answer Engine Insights explicitly analyzes what AI is saying about your brand, including sentiment, positioning, citations and share of voice. More importantly for your use case, its FactCheck feature is specifically designed to surface inaccurate claims and their sources, so your team can investigate and correct the underlying narrative. www.tryprofound.com

Profound also runs prompts daily and supports analysis across major answer engines, rather than relying on a one-off snapshot. www.tryprofound.com

When I'd choose Otterly instead

If you're primarily looking for monitoring + alerts/dashboarding rather than a sophisticated enterprise reputation workflow, Otterly is compelling. It monitors prompts daily across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Claude and Copilot, and exposes sentiment, mentions, citations and competitor appearances at the prompt level. help.otterly.ai

It also claims to capture responses directly from AI interfaces rather than relying solely on APIs, which is useful because API responses can differ from what users actually see. help.otterly.ai

One important caveat

None of these should be treated as a perfect “AI reputation monitoring” system. AI answers are nondeterministic: the same prompt can produce different answers depending on session, location, account and other factors. Otterly explicitly acknowledges this and uses repeated runs to establish a baseline. help.otterly.ai

For a serious brand-protection program, I'd want the system to do four things:

1. Continuously run a library of real customer/prospect prompts
2. Capture the complete answer + citations
3. Classify mentions — positive / neutral / negative / inaccurate / potentially harmful
4. Flag the underlying factual claim and source so PR/legal/content teams can actually investigate it

On that last point, Profound currently has the clearest fit among the tools I checked.

Bottom line:

• Large brand / reputation risk / PR or enterprise team → Profound
• Smaller team / want inexpensive continuous monitoring → OtterlyAI
• Primarily SEO/GEO visibility rather than reputation → Peec AI or Otterly

If you tell me roughly your company size, number of brands/products, and which AI platforms matter (ChatGPT only vs. ChatGPT + Gemini + Claude + Perplexity, etc.), I can give you a more rigorous 5–7 vendor comparison specifically for inaccurate/negative AI mentions, including pricing, alerting, API access, sentiment/fact checking, and whether they capture the actual AI response.

If your specific goal is catching negative, misleading, outdated, or factually inaccurate descriptions of your brand in ChatGPT/Gemini/Perplexity-style answers, I’d narrow the field to Profound, AthenaHQ, and OtterlyAI rather than generic social-listening tools.

My ranking

Recent 2026 comparisons consistently put Profound near the top for enterprise AI-search monitoring, while specifically identifying AthenaHQ's hallucination detection/brand-integrity capabilities as a differentiator. technologyadvice.com

🥇 I'd choose Profound for an enterprise brand

Profound

Profound is particularly compelling if you want a system that goes beyond "did AI mention us?" and gives your marketing/PR team a broader picture of what AI says, which sources it relies on, sentiment, competitors, citations, and AI visibility. It monitors major answer engines including ChatGPT, Gemini, Claude and Perplexity. technologyadvice.com

The key distinction is that you're looking for answer-level reputation monitoring, not conventional brand monitoring.

I'd configure it around prompts such as:

• "What are the best [category] companies?"
• "What are the disadvantages of [brand]?"
• "Is [brand] trustworthy?"
• "What complaints do customers have about [brand]?"
• "Is [brand] a scam?"
• "What are alternatives to [brand]?"
• "How does [brand] compare with [competitor]?"
• "[Specific product] problems/reviews"
• "[Brand] pricing / cancellation / support issues"

Then classify every answer into accurate / inaccurate / outdated / negative-but-accurate / unsupported / potentially defamatory.

🥈 AthenaHQ may actually be the better fit for your exact use case

If by "negative or inaccurate" you primarily mean brand safety and factual correctness, I'd seriously demo AthenaHQ alongside Profound.

Current comparisons specifically highlight AthenaHQ for brand integrity, hallucination detection, competitor monitoring and enterprise governance, whereas many competing products concentrate more heavily on visibility/share-of-voice and GEO optimization. technologyadvice.com

That's an important distinction:

Visibility monitoring: "Did ChatGPT mention us?"

versus

Brand integrity monitoring: "What exactly did ChatGPT claim about us, and is that claim correct?"

The second sounds much closer to what you're asking for.

🥉 OtterlyAI if you want something easier and cheaper

OtterlyAI

Otterly monitors prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot, and provides visibility, citations and sentiment analysis. otterly.ai

It's a good choice if you want to get a monitoring program running quickly without buying a heavyweight enterprise platform.

One important caveat

No tool can guarantee that it captures every answer a real person gets from an AI assistant. Chat-based answers can vary with conversation history, personalization, location, model version, browsing state, and other factors. Otterly itself notes that its monitored results can differ from an individual's manually generated answer for these reasons. otterly.ai

So I'd treat these platforms as systematic sampling and early-warning systems, not as a perfect log of everything AI assistants say.

What I'd buy

If you're a large brand with PR/legal/reputation risk:

Profound + AthenaHQ evaluation → likely Profound or AthenaHQ

If you're a mid-sized marketing team:

OtterlyAI

If you tell me roughly your company size, number of brands/products, and whether this is primarily a PR/legal risk or a marketing/GEO problem, I can narrow this down to the best 2–3 vendors and compare their actual monitoring capabilities, alerting, hallucination detection, APIs, and pricing.

For monitoring negative, inaccurate, or misleading mentions of your brand in chat-based AI answers, the “best” solution depends on whether you need enterprise reputation management, AI visibility tracking, or hands-on correction workflows. The category is still emerging, but these are the strongest options:

cited.mdwww.techradar.com

My recommendation by use case

For a large brand concerned about misinformation or reputation risk
→ Start with Profound + a traditional reputation monitoring platform. You need:

• recurring prompt tests (“Is Brand X safe?”, “Is Brand X a scam?”, “Brand X reviews”)
• answer snapshots
• sentiment classification
• source/citation tracking
• alerts when answers change
• evidence packages for PR/legal/product teams

cited.md

For a marketing or SEO team
→ Use Semrush AI Visibility tools or a dedicated AI visibility tracker. The goal is usually less “crisis detection” and more:

• Are we mentioned?
• Are competitors replacing us?
• Which sources influence AI answers?
• What content should we improve?

cited.mdwww.techradar.com

For reputation/security teams
A specialized monitoring workflow is often better than relying on one vendor:

1. Build a fixed prompt library:
   • “Is [brand] trustworthy?”
   • “What are the problems with [brand]?”
   • “Alternatives to [brand]”
   • “Latest complaints about [brand]”
   • “Is [brand] legitimate?”

2. Run prompts weekly across:
   • ChatGPT
   • Gemini
   • Claude
   • Perplexity
   • AI search experiences

3. Score outputs:
   • factual accuracy
   • sentiment
   • severity
   • source quality
   • competitor mentions

4. Route issues:
   • incorrect product info → content/product team
   • false claims → PR/legal
   • outdated sources → SEO/content team

What I would avoid

• Tools that only count brand mentions. A mention is not enough; you need the actual answer text and the sources influencing it.
• Treating AI answers like social media posts. You usually cannot “reply” to an AI response; you improve the information ecosystem the model relies on.

A practical stack for most companies would be:

• Enterprise: Profound + Brandwatch
• Mid-market: Semrush AI Visibility + Brandwatch/Brand24-style listening
• Startup: Otterly.AI or Peec AI + manual review process

cited.md

If you share your company size, industry (e.g., SaaS, consumer, healthcare, finance), and whether the priority is PR risk or AI search visibility, I can narrow this to a shortlist.

If your goal is specifically “tell me when ChatGPT/Gemini/Perplexity/etc. says something negative or factually wrong about our brand”, I’d prioritize a dedicated AI-search/LLM monitoring platform, rather than a traditional brand-monitoring product.

My shortlist

Current industry comparisons consistently put Profound, Peec, Otterly and AthenaHQ among the dedicated AI-monitoring options. slatehq.com

What I would buy for your use case

1. Profound — if this is a major brand-reputation initiative

I'd choose Profound if you need an enterprise-grade system with broad AI-search coverage, competitive benchmarking, source/citation analysis, and enough depth for marketing/communications teams to act on the findings.

2. Peec AI — if you mainly want a clean monitoring/analytics product

Peec is attractive if the core question is:

“What are AI assistants saying about us, how often, compared with competitors, and what sources are they using?”

That's closer to your stated requirement than generic social listening.

3. Otterly.AI — if you want to get started quickly without an enterprise commitment

This is probably where I'd start a smaller team. Current comparisons describe it as a lower-cost standalone monitor with coverage across several AI platforms. www.reddit.com

The important distinction

Don't evaluate these tools primarily on “number of brand mentions.”

For your use case, I'd score them on whether they can detect:

• Incorrect factual claims — “Company X acquired Y” when it didn't.
• Negative claims — complaints, safety issues, lawsuits, poor reviews, etc.
• Outdated information — old pricing, discontinued products, former executives.
• Misattribution — confusing your company with another entity.
• Competitive displacement — competitor recommended instead of you.
• Bad citations — AI answer makes a claim but cites an unreliable/outdated source.
• Prompt-specific behavior — what happens when users ask different versions of the same question.
• Cross-model consistency — whether the problem appears in ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews/AI Mode, etc.

This matters because AI answers aren't static pages that can simply be crawled. The same prompt can produce different answers, and different AI systems can produce substantially different recommendations. www.shadow.inc

One thing I'd insist on

Whatever vendor you choose, make sure it supports a custom prompt library, not just generic “brand visibility.”

For example, you'd want to monitor prompts like:

“What are the biggest problems with [Brand]?”

“Is [Brand] reliable?”

“What do customers complain about with [Brand]?”

“Are there any controversies involving [Brand]?”

“What are the alternatives to [Brand]?”

“Should I buy [Brand] or [Competitor]?”

Then run those repeatedly and classify each response as accurate / inaccurate / misleading / negative / neutral / positive, with the underlying citations captured.

That is much more valuable than simply knowing that “your brand appeared 62% of the time.” A recent monitoring methodology similarly recommends a defined set of buyer prompts, multiple runs, and tracking sentiment, citations, and competitive displacement rather than relying on one-off queries. tracemetry.com

My recommendation: if you tell me your company size, industry, approximate budget, and which AI platforms matter most, I can narrow this to 2–3 vendors and compare their actual features/pricing/coverage for negative + inaccurate-mention monitoring.

If your main goal is “tell me when ChatGPT/Claude/Gemini/etc. says something negative, false, or misleading about our brand”, I’d prioritize tools that capture the actual answer + prompt + sources + sentiment, rather than tools focused mainly on visibility/rank.

My shortlist

Peec explicitly tracks visibility, position, sentiment and share of voice, and its ChatGPT tracker records the sources influencing answers. peec.ai

Otterly is particularly attractive if you want one monitoring layer across multiple AI engines. It runs your defined prompts automatically and lets you inspect the generated answers, including the individual response text and citations. It currently supports ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude via API. help.otterly.aihelp.otterly.ai

But there's an important distinction

I'd separate AI visibility monitoring from AI reputation monitoring.

If you're concerned about things like:

“Company X was founded in 2012.”
Actually false — it was founded in 2008.

or:

“Customers frequently complain about Company X's security.”
Unsupported/misleading.

then a generic “brand mention” dashboard isn't enough.

You ideally want a system that:

1. Maintains a library of high-value customer prompts.
2. Runs those prompts repeatedly across AI models.
3. Stores the exact answer and citations.
4. Detects when your brand is mentioned.
5. Classifies the mention as positive / neutral / negative.
6. Detects factual claims about your company.
7. Compares those claims against a verified source of truth.
8. Alerts your team when a material claim changes or is wrong.
9. Shows which websites/sources appear to be causing the misinformation.

That's a more sophisticated problem than traditional “GEO tracking.”

What I'd choose

For a marketing team starting today: I'd test Peec AI vs. OtterlyAI first.

For an enterprise/company where inaccurate AI claims are a serious reputation or compliance issue: I'd look at Profound plus a custom factual-verification layer, rather than relying solely on an off-the-shelf visibility tracker.

One reason is that AI answers are inherently variable: Otterly itself notes that answers can differ according to session, location and account settings, so you should treat any monitoring platform as a controlled measurement baseline, not a perfect representation of every answer a customer could receive. help.otterly.aihelp.otterly.ai

If you tell me your company/industry, approximate number of brands/products, and whether you care primarily about ChatGPT or all AI assistants, I can give you a specific 3–5 vendor recommendation with pricing, coverage, alerting, accuracy monitoring, and API capabilities.

If you mean monitoring how ChatGPT, Claude, Gemini, Perplexity, etc. describe your brand—and catching negative, outdated, or factually inaccurate mentions—the best solution depends on whether you want a ready-made platform or an internal monitoring system.

My shortlist

If your primary requirement is specifically “find negative or inaccurate claims about our brand,” I’d lean toward Profound or a custom monitoring layer. Generic social-listening tools aren't sufficient because the important problem is not merely what people say about you—it's what AI systems themselves answer when users ask about you.

A good system should monitor:

1. Brand mentions — whether your brand appears at all.
2. Sentiment/tone — positive, neutral, negative.
3. Factual accuracy — incorrect pricing, products, leadership, policies, locations, etc.
4. Competitive framing — whether competitors are recommended instead of you.
5. Source/citation analysis — which websites are causing the model to form an inaccurate impression.
6. Model-by-model differences — e.g. ChatGPT vs. Gemini vs. Claude vs. Perplexity.
7. Prompt variations — especially questions such as “Is [brand] legitimate?”, “What are the problems with [brand]?” and “Should I choose [brand] or [competitor]?”
8. Change detection — alert when an answer becomes materially more negative or inaccurate.

If you tell me your company size, approximate number of brands/products, and which AI platforms you care about, I can compare the leading solutions—including pricing, coverage, API capabilities, alerting, sentiment/accuracy detection, and enterprise suitability—and recommend one.

If your specific problem is “AI assistants are saying inaccurate or negative things about our brand, and we need to detect and investigate those claims”, I’d prioritize Profound over a generic social-listening tool.

My shortlist

Why I'd choose Profound

The important distinction is between AI visibility tracking and AI reputation/accuracy monitoring.

You don't just want to know:

“Does ChatGPT mention us?”

You want to know:

“What exactly did ChatGPT say about us, is it true, where did that claim come from, and which other AI systems are repeating it?”

Profound specifically has an “Ensure AI Accuracy” capability that identifies what AI gets wrong about a brand and a FactCheck feature that surfaces inaccurate claims along with their sources. www.tryprofound.com Its monitoring covers major answer engines and collects responses from the consumer-facing experiences rather than simply relying on model APIs, which is valuable because you're interested in what users actually see. www.tryprofound.com

Peec would be my #2

Peec AI is particularly good if the primary team is marketing/SEO rather than corporate communications or reputation management. It tracks mention frequency, position, sentiment, citations/sources and share of voice across ChatGPT, Gemini, Perplexity, Copilot and other engines. peec.ai

One important caveat

Don't evaluate these tools based on a single answer. AI responses are inherently variable: identical prompts can produce different answers and citations at different times. Recent research specifically warns that single-run AI visibility measurements can give misleadingly precise results. arxiv.org

For a serious brand-monitoring program, I'd therefore want the platform to:

1. Run a controlled prompt library repeatedly
2. Capture the full AI response, not just “mention/no mention”
3. Flag negative sentiment and factual claims
4. Identify which claims are inaccurate
5. Trace each claim to the cited/source content
6. Track the same issue across ChatGPT, Gemini, Claude, Perplexity, Copilot, Google AI
7. Alert when a negative/inaccurate claim appears, disappears, or becomes more prevalent
8. Let your team annotate true / false / misleading / outdated
9. Show which external sources are causing the misconception
10. Maintain a historical record for reputation/risk reporting

So, if this is primarily an AI-reputation problem, my recommendation is: Profound → Peec → Otterly. If you tell me your company size, industry, number of brands, and whether you need real-time alerts or periodic reporting, I can narrow this to the best 2–3 and compare their pricing/features.

If your primary goal is “tell me when ChatGPT/Claude/Gemini/etc. says something negative, false, or misleading about our brand”, I’d separate that from ordinary AI-visibility/SEO monitoring.

My shortlist

Why I'd pick Peec for your specific problem

Peec explicitly tracks sentiment and how AI models perceive and describe a brand, rather than simply asking whether the brand appeared. It also provides visibility, position and share-of-voice metrics. peec.ai

That's important because there are two very different alerts:

“Our brand wasn't mentioned.”
vs.
“ChatGPT mentioned us and incorrectly claimed our product does X.”

The second is much closer to a brand-risk monitoring problem.

Otterly is excellent if you want to systematically run a portfolio of customer-like prompts across AI engines. It currently says it checks ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Copilot and Claude daily, and records whether your brand was mentioned and how it compares with competitors. help.otterly.ai

The important caveat

I wouldn't buy a tool based solely on a headline metric like "AI visibility."

For negative/inaccurate claims, I'd want the system to retain the actual prompt + complete AI response + cited sources + timestamp + model/engine, then classify each response into:

1. Correct positive
2. Correct neutral
3. Correct negative
4. Factually inaccurate
5. Outdated
6. Misleading/ambiguous
7. Competitor confusion
8. Unsupported claim / hallucination

That's because an AI answer can be negative but true, or positive but completely wrong. Those require very different responses.

Research also shows that AI systems can produce incorrect factual claims and problematic attribution, so treating "sentiment" as a proxy for accuracy isn't sufficient. arxiv.org

What I'd actually implement

For a serious brand, I'd use a two-layer setup:

Layer 1 — continuous monitoring

• 100–1,000+ customer-intent prompts
• ChatGPT, Gemini, Claude, Perplexity, Copilot, Google AI
• Daily/weekly snapshots
• Brand mentions
• Sentiment
• Position
• Competitor mentions
• Sources/citations

Layer 2 — accuracy/risk detection

• Compare claims against your authoritative facts
• Flag contradictions
• Detect outdated product/pricing/company information
• Detect fabricated features, customers, statistics, executives, etc.
• Assign severity
• Send high-severity findings to Slack/email/Jira

That second layer is where most "AI visibility" products aren't quite the same thing as AI reputation monitoring.

So, if you want one product today: I'd trial Peec first.
If you want cheap, broad monitoring, trial Otterly. If you're building a larger enterprise AI-reputation/AEO program, I'd put Profound and Scrunch into the evaluation alongside Peec.

If you tell me your company/brand and roughly how many prompts or markets you need to monitor, I can give you a much more concrete Peec vs. Profound vs. Otterly vs. Scrunch comparison, including pricing, alerting, API/export capabilities, sentiment/accuracy detection, and which I'd choose.

If your goal is to monitor how chat-based AI systems (like ChatGPT, Claude, Gemini, Perplexity, Copilot, etc.) describe your brand—and detect negative, inaccurate, or missing information—the market is still evolving. There isn't a perfect equivalent of Google Alerts because AI answers are personalized and often not publicly indexed.

The strongest options today fall into three categories:

If your primary concern is inaccurate answers

The capabilities you want are:

• Monitoring hundreds or thousands of prompts
• Testing across multiple AI models
• Alerting when answers change
• Identifying which sources the AI cites
• Tracking competitor comparisons
• Historical snapshots so you can see when an answer became inaccurate

Among current products, Profound is generally regarded as the most mature for enterprise AI answer monitoring.

If your primary concern is brand reputation

You'll probably need more than one tool because AI reputation issues often begin on the web.

A common stack looks like:

• Traditional media monitoring (news, blogs, social media)
• AI answer monitoring
• Review monitoring
• Search monitoring

This combination lets you determine whether an AI response is reflecting existing web content or introducing an unsupported claim.

If you have an internal engineering team

Many larger companies build their own monitoring system:

1. Maintain a library of 500–5,000 prompts.
2. Query multiple AI providers daily.
3. Compare responses with previous versions.
4. Flag changes using LLM-based evaluation.
5. Send alerts to Slack or email when:
   • sentiment declines,
   • factual claims change,
   • competitors are recommended instead,
   • hallucinations appear,
   • important citations disappear.

This approach provides the greatest control but requires ongoing maintenance because AI models and APIs change frequently.

My recommendation by company size

• Startup (<100 employees): Peec AI or Goodie AI.
• Mid-market: Profound.
• Large enterprise: Profound plus a custom monitoring pipeline.
• Highly regulated industries (finance, healthcare, legal): Custom monitoring alongside an enterprise platform, because you'll likely want tailored rules for factual accuracy and compliance.

One important caveat: no tool can monitor every answer every user receives. Modern AI systems generate responses dynamically based on prompt wording, conversation history, and personalization. The most effective platforms estimate coverage by continuously testing representative prompt sets and tracking trends over time rather than claiming complete visibility.

If your goal is to monitor how chat-based AI systems (ChatGPT, Gemini, Claude, Perplexity, Copilot, etc.) describe your brand, there isn't yet a single "Google Alerts for AI" that's comprehensive. The best solution depends on whether you want marketing insights, reputation monitoring, or technical evaluation.

Here's how the options generally compare:

Strong commercial options

Profound

• One of the leaders in AI search optimization ("GEO" / AI SEO)
• Continuously tests prompts across major AI assistants
• Tracks:
  • inaccurate answers
  • competitors appearing instead of you
  • citation sources
  • sentiment
  • answer changes over time
• Best for medium and large brands

Pros:

• Most comprehensive analytics
• Executive dashboards
• Competitive benchmarking

Cons:

• Enterprise pricing

Otterly.AI

• Simpler and more affordable
• Periodically asks major AI models questions about your company
• Alerts when responses change

Best for:

• startups
• SMBs
• marketing teams

Goodie AI
Focuses on AI brand monitoring and discoverability.

Useful for:

• monitoring mentions
• testing prompts
• identifying missing information

Peec AI
More focused on AI search visibility and optimization than reputation, but still useful for monitoring brand representation.

Traditional monitoring still matters

Many AI hallucinations originate from poor or outdated information on the web.

Using something like:

• Brandwatch
• Meltwater
• Talkwalker

alongside AI monitoring often catches problems before they're reflected in AI-generated answers.

If you're an enterprise

Many larger companies build their own monitoring pipeline because they want reproducible testing.

A typical workflow is:

1. Maintain hundreds or thousands of prompts ("Who is Company X?", "Best alternatives to Company X", "Is Company X secure?", etc.).
2. Run them daily or weekly against multiple AI models via APIs.
3. Compare responses against previous versions.
4. Use an LLM or rule-based evaluator to detect:
   • factual errors
   • negative sentiment
   • missing products
   • outdated information
   • competitor substitution
5. Create alerts when significant changes occur.

This provides much greater control than relying on a third-party dashboard.

My recommendation

• Small business or startup: Otterly.AI is a practical starting point.
• Mid-market B2B company: Profound offers one of the most mature solutions for monitoring AI-generated brand mentions and visibility.
• Large enterprise: Combine an AI monitoring platform like Profound with a custom prompt evaluation system and a traditional media monitoring platform. That combination gives you the broadest coverage, since AI systems reflect both their training and current web information in different ways.

One important limitation to keep in mind is that no service can monitor every conversation users have with AI assistants. Most tools evaluate a representative set of prompts across publicly accessible models and track how the answers change over time, rather than observing private user interactions.

If your goal is specifically to monitor how chat-based AI systems describe your brand (rather than traditional social listening), there isn't a single perfect solution. The best choice depends on whether you want executive-level reporting, technical monitoring, or SEO/marketing insights.

Here's how the main categories compare:

If your concern is negative or inaccurate AI-generated answers, I'd prioritize platforms built specifically for AI monitoring over traditional media monitoring.

A practical monitoring workflow looks like this:

1. Track important prompts such as:
   • "Best [your category] companies"
   • "Is [your brand] reliable?"
   • "[Your brand] alternatives"
   • "[Your brand] reviews"
   • "[Your brand] pricing"
   • "[Your brand] security"

2. Run them daily or weekly across major assistants (for example, ChatGPT, Gemini, Claude, Perplexity, and Copilot).

3. Record:
   • Whether your brand appears
   • Overall sentiment
   • Any factual errors
   • Which sources the AI cites
   • Changes from previous runs

4. Alert on:
   • Newly introduced factual inaccuracies
   • Negative sentiment shifts
   • Competitors replacing your brand
   • Hallucinated claims
   • Missing or outdated product information

One important distinction is that many AI assistants do not index the web in real time or produce identical answers for every user. Responses can vary by model version, location, personalization, and the sources available at generation time. Because of that, monitoring should sample multiple prompts over time rather than relying on a single query.

For most organizations, I'd recommend:

• Enterprise (> $100M revenue): Profound + Brandwatch
• Mid-market SaaS: Profound or Goodie
• Marketing teams focused on AI visibility: Peec AI
• Budget-conscious teams: Build an internal monitoring workflow using a fixed prompt library, scheduled API calls to multiple LLMs (where available), and automated diffs to flag answer changes.

If you tell me your company size, industry, and whether your priority is reputation management, AI SEO/discoverability, or competitive intelligence, I can narrow the recommendation further.

If your goal is specifically to monitor how chat-based AI systems (ChatGPT, Gemini, Claude, Perplexity, Copilot, etc.) describe your brand, there are now a handful of specialized platforms. They differ quite a bit from traditional social listening or SEO tools.

Here's how I'd categorize them:

If your concern is negative or inaccurate AI-generated answers, I'd prioritize:

1. Profound — currently one of the strongest dedicated enterprise platforms for AI answer monitoring. It regularly tests prompts across multiple AI assistants, shows how your brand appears, surfaces inaccurate responses, and tracks changes over time.

2. Goodie AI — particularly useful if your marketing team also wants to understand why AI assistants cite competitors or fail to mention your brand.

3. Scrunch AI — a good fit if your objective is improving how AI systems represent your company rather than just measuring mentions.

If accuracy is your biggest concern

I'd look for a platform that can:

• Continuously run hundreds or thousands of prompts
• Monitor multiple AI assistants (ChatGPT, Gemini, Claude, Perplexity, Copilot)
• Detect factual inaccuracies
• Alert when answers change
• Save historical responses
• Compare responses with competitors
• Show the sources each AI cites
• Export results for PR or legal review

Many AI visibility products emphasize "share of voice," but fewer are good at identifying factual errors. Make sure the platform explicitly supports alerting on response changes and preserving historical snapshots.

If you're an enterprise brand

Many organizations also build an internal monitoring pipeline alongside a commercial tool:

• Maintain a library of high-value prompts.
• Run those prompts on a schedule across multiple AI assistants.
• Compare new responses with previous versions.
• Flag factual changes using automated evaluation.
• Route potential issues to communications, SEO, or legal teams.
• Track resolution after updating authoritative content on your own website.

This approach gives you complete control over the prompts and evaluation criteria while using a commercial platform for broader market visibility.

If you can share:

• your company size,
• roughly how many brands or products you need to monitor, and
• whether you're more concerned with reputation, hallucinations, competitive positioning, or AI search/SEO,

I can narrow the recommendations to the solutions that best fit your use case.

If your goal is to detect when chat-based AI systems (such as ChatGPT, Gemini, Claude, Perplexity, or Copilot) mention your brand inaccurately or negatively, there isn't yet a perfect equivalent to Google Alerts. The best solution depends on whether you want enterprise-grade monitoring, marketing insights, or a DIY approach.

Here's how the current landscape breaks down:

Best dedicated AI brand monitoring

Profound

This is currently one of the most mature platforms focused specifically on AI-generated answers. It can help you:

• Track how major AI assistants describe your brand
• Detect hallucinations and factual inaccuracies
• Compare your visibility against competitors
• Monitor citations and sources AI models rely on
• Alert on changes over time

This is a strong fit for larger brands with dedicated marketing or communications teams.

Best for AI search optimization

Several newer vendors focus on "AI SEO" or "Generative Engine Optimization (GEO)."

Examples include:

• Goodie
• Peec AI

These platforms typically measure:

• Share of voice in AI answers
• Prompt rankings
• Competitor comparisons
• Citation frequency
• Sentiment
• Recommended content improvements

These are often a good fit for SaaS companies, ecommerce brands, and marketing teams.

Traditional reputation monitoring

If you're already using platforms like:

• Meltwater
• Brandwatch
• Talkwalker

check whether your subscription includes AI monitoring. Many enterprise vendors have added features for tracking AI-generated search and assistant responses.

If you want the most accurate monitoring

Many companies build their own monitoring because AI answers change frequently.

A common workflow is:

1. Maintain a library of 100–1,000 prompts customers are likely to ask.
2. Run those prompts daily or weekly against multiple AI systems.
3. Store the responses.
4. Use an LLM to evaluate:
   • factual accuracy
   • sentiment
   • missing information
   • competitive mentions
   • potentially harmful claims
5. Alert when responses change significantly or contain inaccuracies.

This approach gives you much more control than relying on a vendor's predefined reports.

My recommendation

• Small to mid-sized company: Consider Goodie or Peec AI.
• Enterprise brand with PR concerns: Profound is one of the strongest specialized options.
• Technical team with engineering resources: A custom monitoring pipeline usually provides the best long-term coverage, flexibility, and ability to detect nuanced inaccuracies across multiple AI assistants.

If you're monitoring a specific brand, I can also suggest the best approach based on your industry (e.g. healthcare, finance, B2B SaaS, retail, or consumer products), since the monitoring needs can differ substantially.