Reading time: 11 minutes
Brand monitoring tools track what people say about a company on social media, in the press and in reviews. They don’t track trademark filings at INPI, Brazil’s trademark office. But social listening and media monitoring can’t read what ChatGPT and other AI tools answer, because those answers aren’t public. So this guide shows how brand monitoring tools can cover that AI blind spot.
In short
- Social listening and media monitoring read public posts and news. An AI answer, however, starts in a private chat and changes with each run, so they miss it.
- To learn what AI says about a brand, you have to ask it, with a fixed list of prompts.
- Among brand monitoring tools, Meltwater, Cision, Hootsuite, Brand24 and Muck Rack already track AI answers. Meltwater, Hootsuite and Brand24 describe this module as an add-on.
- Finally, the report brings social media, press and AI together, with the same period and the same competitors. Then it cross-checks the sources AI cites against media coverage.
What is brand monitoring?
Brand monitoring is tracking what people say about a company, its products and its competitors in public channels. That way, the brand measures reputation, sentiment and share of voice, and it spots a crisis early. In general, each brand monitoring tool covers one part of the job. Social listening reads social media, forums and reviews, while media monitoring follows the press.
Today, AI has become one more place where that reputation takes shape. In December 2025, Optimiza Marketing and AB Pesquisas surveyed 1,000 consumers in Brazil. Their study is O Mapa da Busca no Brasil 2026 (The Map of Search in Brazil 2026). According to the study, 46.5% use AI tools daily or a few times a week to research or buy products and services. Optimiza, by the way, is a marketing agency.
The work to make a brand look good in those answers is GEO, the topic of our guide to what GEO is. Before you change the answer, however, the brand needs to know what AI says today.
What do social listening and media monitoring cover, and what do they miss?
Social listening covers public posts on social media, forums, videos and review sites, while media monitoring covers the press. In other words, traditional brand monitoring tools read what someone has published. An AI answer, on the other hand, doesn’t sit on any public page. That’s why it escapes both, just like private messages.
- Social listening: reads public posts on social media, forums, videos and reviews, but doesn’t see private messages or AI answers.
- Media monitoring: follows online, print, TV and radio news, but not social media or AI answers.
- Google Alerts: Google’s service sends emails when new results show up in Google Search, but an AI answer doesn’t become a new result.
- AI monitoring: runs a fixed list of prompts in the engines, but doesn’t see each user’s real chats.
Brand24, for example, says it tracks more than 25 million sources. They include social media, videos, forums, news sites, blogs, reviews and newsletters. Even so, AI answers sit in a separate module, Chatbeat. There, the brand sets the prompts, and the tool runs those questions in nine AI engines.
Why do AI answers stay off the radar?
Because an AI answer starts inside a chat, at the moment someone asks. It never becomes a post that a crawler can read. Besides, the same question gets different answers on each run. So a customer’s screenshot on social media shows one answer, but not what other users see. That’s why no brand monitoring tool that reads only public content can see that AI answer.
Still, AI feeds on what social listening and media monitoring track. Google says the AI features in Search can show what people say about products and services across the web. That includes blogs, videos and forum discussions. However, the same guide warns that chasing inauthentic mentions is less useful than it seems.
Likewise, the press carries weight in the answer. Muck Rack, which sells PR software, published a report in May 2026. In it, about 84% of citations from ChatGPT, Claude and Gemini came from earned media. That includes journalism, research, encyclopedias and social platforms. In other words, social listening and media monitoring measure the raw material of the answer, but not the answer itself. See which sources AI cites most and how to earn a place in them.
How do you monitor what AI says about your brand?
To know what AI says about the brand, you have to ask it. In general, the method runs a fixed list of prompts in the engines your audience uses. It repeats the runs and logs mentions, recommendations, sentiment and cited sources. The number of prompts and runs, with the margin of error, is in our protocol for measuring mentions and citations.
Social listening helps you write that list, because it shows how customers talk about the brand. This way, brand monitoring on social media becomes raw material for the prompts:
- Topics: list the subjects that come up most in social listening and customer service, such as price, delivery, complaints and comparisons.
- Questions: then turn each topic into a question a customer would ask AI, with and without the brand name.
- Collection: run the list in the engines and note mentions, tone, errors and cited sources.
- Comparison: finally, compare the tone of AI answers with the tone on social media in the same period.
A brand monitoring tool with an AI module automates the collection, but the logic stays the same. When AI gets a company fact wrong, such as a price or an address, first fix the page it relies on. Our guide on how to fix what ChatGPT says about your company walks through the steps.
Can one brand monitoring tool cover social media, press and AI?
Some brand monitoring tools already cover all three fronts: social media, the press and AI. Meltwater, Cision, Hootsuite, Brand24 and Muck Rack have added an AI answer module to social listening and media monitoring. However, that module is often an add-on, with its own engines and methods. So check what your plan includes before you switch tools.
| Platform | AI module | Engines on the official page |
|---|---|---|
| Meltwater | GenAI Lens, usually an add-on | 9, including AI Overviews and AI Mode |
| Cision | AI Visibility Dashboard, in CisionOne | 9, including AI Overviews and AI Mode |
| Hootsuite | LLM Insights, add-on | ChatGPT, Gemini, Claude and Perplexity |
| Brand24 | Chatbeat, add-on | 9, including AI Overviews and AI Mode |
| Muck Rack | Generative Pulse | ChatGPT, Gemini and Claude |
The data for each brand monitoring tool comes from the pages of Meltwater, Cision, Hootsuite, Brand24 and Muck Rack. Cision owns Brandwatch, and Hootsuite bought Talkwalker in 2024. At Meltwater, Cision and Brand24, the official page also says AI data sits alongside social and press data.
On the other hand, we found no AI answer monitoring on the official pages of two Brazilian tools: Stilingue, owned by Blip, and Buzzmonitor. At Buzzmonitor, for example, ChatGPT appears as part of customer service, to draft replies.
Outside the suites, GEO tools such as Semrush, Ahrefs, Profound, Peec AI and Otterly monitor the brand with a focus on AI. Our comparison of GEO tools shows how each one collects data, from which country and at what price. Before you buy a suite’s AI module, ask if it uses the same competitors and topics as your social listening. Also ask how much the add-on costs.
How do you combine brand monitoring data in one report?
If your brand monitoring tool doesn’t bring social media, press and AI together, build a single report. Use the same period, the same competitors and the same topics. That way, you can compare share of voice on social media, in the press and in AI answers. Then cross-check the domains AI cites against your media monitoring, to see which outlets shape the answer.
| Block | Social media and press | AI answers |
|---|---|---|
| Presence | Mention volume and reach | Mentions and recommendations in prompts |
| Competition | Share of voice in posts and articles | Share of voice in answers |
| Sentiment | Tone of posts and articles | Tone of the answer and factual errors |
| Sources | Profiles and outlets that talk most about the brand | Domains AI cites |
| Traffic | Visits from social media and articles | Visits from AI assistants |
However, combining social, press and AI data from several brand monitoring tools is often the hard part. In a Brandwatch survey of 1,028 marketing professionals, 40% named integrating data from multiple sources among their top challenges. Brandwatch belongs to Cision and sells social listening. At the launch of the AI dashboard, Cision’s chief marketing officer explained why the data belongs together:
“PR teams cannot protect or grow brand reputation in a vacuum; they need to see how their earned media efforts are actually feeding the algorithms consumers trust.”
Amy Jones, Cision (2026)
When you read the report, look for mismatches. If social media speaks well of the brand and AI speaks badly, open the sources AI cited and check if any are outdated. Finally, for the traffic block, follow our guide to AI traffic in GA4.
What we found when we analyzed seven brand monitoring tools
We read the official pages of seven brand monitoring tools. Five are international suites: Meltwater, Cision, Hootsuite, Brand24 and Muck Rack. Two are Brazilian: Stilingue and Buzzmonitor. Then we counted how many meet each criterion:
- Monitor AI answers: 5 of 7. However, the two Brazilian tools don’t mention the feature on their official pages.
- Describe the module as an add-on: 3 of 5, namely Meltwater, Hootsuite and Brand24.
- Mention AI Overviews or AI Mode: 3 of 5: Meltwater, Cision and Brand24.
- Show the sources AI cites: 5 of 5, including Hootsuite, which added a citations and sources table to LLM Insights.
- List Brazil or Portuguese for AI data collection: 0 of 5. Only Brand24 mentions choosing a geolocation.
Therefore, when you compare brand monitoring tools, ask from which country and in which language the AI module sends its prompts. After all, customers in Brazil ask in Portuguese, and the brand monitoring tool needs to ask the same way. NotHuman, which publishes this blog, works in the same market, so we left it out of the analysis.
Frequently asked questions
No, because INPI handles trademark registration. There, the term means watching the Industrial Property Gazette (Revista da Propriedade Industrial, or RPI) for filings similar to your brand. Anyone with a legitimate interest can oppose an application within 60 days of its publication. Reputation monitoring, on the other hand, tracks what people say about the company.
No, because Google Alerts sends emails when new results about a topic show up in Google Search, such as news and pages that mention the brand. A ChatGPT or AI Mode answer doesn’t become a new result, so the alert misses it. Therefore, to see that answer, you need to run prompts in the AI engines.
Yes, because it shows what people publish about the brand in sources AI reads, such as forums, videos, reviews and the press. Google says the AI features in Search can show what people say about products and services in blogs, videos and forums. But social listening doesn’t show the AI answer itself.
Yes, but with limits. For AI, collecting prompts by hand costs nothing while the volume stays small. In addition, in Brazil, RD Station’s Radar GEO runs a free check of the brand in ChatGPT and Gemini. However, once the volume grows, collection moves to a paid tool or an in-house script.
Want to know how your brand shows up in AI answers today?
NotHuman is opening spots for agencies and brands to track how they appear in AI answers. Join the waitlist and we’ll let you know when a spot opens up for you.
Main sources
- Meltwater, GenAI Lens, brand monitoring in AI answers (2026).
- Cision, launch of the AI Visibility Dashboard in CisionOne (2026).
- Hootsuite, LLM Insights (2026).
- Brand24, social listening and Chatbeat (2026).
- Muck Rack, What Is AI Reading?, May edition (2026).
- Google Search Central, guide to generative AI features in Google Search (2026).
- Brandwatch, The Marketer of 2026 survey (2026).
- E-Commerce Brasil, O Mapa da Busca no Brasil 2026 study by Optimiza Marketing, in Portuguese (2026).
