Short answer: The best ChatGPT brand tracking software answers a practical question: when someone asks an AI assistant about my market, does it recommend my brand and what does it say about it? It should prepare the right questions, compare ChatGPT and Gemini, explain your reputation in plain language, show the sources behind the answers and reveal which options buyers choose. You should not need a search specialist or technical vocabulary to understand the result.
People increasingly ask AI assistants what to buy, who to trust and which option fits their needs. A normal search ranking cannot tell you what happens inside those answers. Brand tracking software can — if it measures more than a name appearing once.
This guide explains what matters, compares the main types of tool and shows where MentionScore fits.
What should brand tracking in ChatGPT tell you?
A useful tool should turn thousands of words from AI answers into a few clear business questions:
- Does your brand appear naturally? This is measured with questions that do not mention your name.
- What does the assistant say when people ask about you? Questions that name your brand reveal strengths, doubts and direct comparisons.
- Are you recommended or merely mentioned? Being present is not the same as being the suggested choice.
- Where do you appear? Being first in a shortlist is different from being buried near the end.
- What is your reputation? The exact positive and negative phrases matter more than an unexplained score.
- Which other brands appear? This shows who shares the conversation with you and who is winning attention.
- Which sources shape the answer? The websites and links used by the assistants help explain why they say what they say.
- Does the recommendation survive a real buying conversation? A first suggestion can change after questions about price, trust, fit or returns.
The important distinction is between direct reputation and natural discovery. A balanced analysis needs both questions that name your brand and questions that do not. Otherwise, a high number can simply mean you asked about yourself repeatedly.
What to look for in a ChatGPT brand tracking tool
1. Setup that starts with your business, not technical terms
You should be able to enter your brand, website, market, countries and languages. The tool should prepare relevant questions for you and let you edit, remove or add any of them before monitoring starts.
This matters because a marketing lead or founder knows the customer and the product, even if they do not know how to write specialist queries.
2. Questions that measure both reputation and discovery
Look for a controlled mix:
- questions that include your brand, to understand what ChatGPT and Gemini say directly about it;
- questions that do not include your brand, to see whether it appears naturally when someone asks for options, advice or comparisons;
- questions for different stages of a purchase, from discovery to final consideration.
3. ChatGPT and Gemini under comparable conditions
The same question can produce different brands, arguments and sources in each assistant. Comparing both makes the result more representative and shows where your brand is strong or missing.
4. Plain-language reputation with evidence
A score alone is not enough. The tool should show positive, neutral and negative opinion, explain why the result has that value and include the exact phrase that supports each conclusion.
5. Results for the whole brand and for what it sells
A general result can hide important differences. A good platform should let you analyse categories, products or services, and initiatives separately when useful. Each section should have its own figures and actions rather than recycling one generic recommendation.
6. Sources, history and clear next steps
You need to see which websites influence answers, how the result changes over time and what to do next. Recommendations should describe the problem, why it matters, the supporting phrase and concrete steps in language a non-specialist can follow.
7. Complete buying conversations
Single questions measure the first response. They do not show what happens when a buyer adds a budget, raises an objection or asks for reassurance. Tools that analyse complete conversations can reveal which brand is chosen at the end.
The best ChatGPT brand tracking tools in 2026
Features and prices change quickly. Check each provider's current website before buying. MentionScore prices below reflect its public pricing at the time of this update and exclude applicable taxes.
1. MentionScore — best for brand teams that want clear answers in English and Spanish
What it is: MentionScore monitors how brands, sectors and people appear in AI assistant answers. For a brand, it prepares the analysis questions, checks ChatGPT and Gemini and turns the answers into clear sections about visibility, reputation, alternatives, topics, sources and recommended actions.
MentionScore is bilingual, not a Spanish-only product. Its interface and public experience are available in English and Spanish, and projects can be configured for the language and country that match the audience being measured.
What it does well:
- Prepares a balanced set of questions automatically; you can review and change all of them.
- Separates questions that name your brand from those that test whether it appears naturally.
- Compares ChatGPT and Gemini using the same business context.
- Shows whether you are mentioned, recommended and placed near the top.
- Explains reputation with a 0–100 opinion scale and the assistant's exact words.
- Shows other brands, topics and sources found in the answers.
- Lets you analyse the overall brand, categories, products or services, and initiatives separately.
- Creates guided recommendations for each section: the problem, why it matters, evidence and numbered actions.
- Works in English and Spanish, with country and language controls for the market being studied.
- Keeps advanced detail available without making it the first thing a non-specialist has to understand.
Who it is for: Brand and marketing leaders, founders and executives who need a direct answer without hiring a specialist first. It also supports consultants and agencies that need multiple projects, deeper controls and client-ready reporting.
Pricing: Free seven-day trial with 150 credits and one project. Paid plans start with Lite at €22 / $24 per month and Starter at €44 / $48. Buyer conversations are included from Pro: €129 / $139 per month for 25 buyers, Agency at €349 / $379 for 100, and Scale at €879 / $949 for 200. See the current pricing page for plan details.
Honest limitation: MentionScore currently focuses on ChatGPT and Gemini for its core monitoring and buyer conversations. Check the product pages for the latest supported assistants and plan availability.
2. Enterprise search suites with AI tracking
Large search platforms increasingly include AI-answer monitoring alongside broader search and content products.
Best for: Large teams that already use the suite and want AI tracking inside an existing contract.
Trade-off: They can cover many needs, but often require specialist onboarding, carry a higher price and present more information than a brand team needs for everyday decisions.
3. Simple AI mention trackers
These tools check whether a brand appears for a list of questions and may provide a basic comparison with other brands.
Best for: Teams that want a low-cost presence check.
Trade-off: They may not explain reputation, sources, buying decisions or what action to take. Confirm whether they distinguish natural appearances from questions that already contain your brand name.
4. Manual checks
You can ask ChatGPT and Gemini questions yourself and record the answers in a spreadsheet.
Best for: Proving that the subject matters before adopting a tool.
Trade-off: Manual checks do not create a reliable history, are difficult to repeat consistently and can be affected by personalisation. They also make it hard to compare dozens of questions or follow a complete buying journey.
Why buyer conversations change the picture
A single question captures the first suggestion. A real customer usually asks follow-up questions:
- “What would you recommend for my needs?”
- “Is there a more affordable option?”
- “Which one is easier to return?”
- “Given all that, which would you choose?”
The brand mentioned first may not win the final decision.
MentionScore's buyer conversations create simulated buyers who speak with ChatGPT and Gemini under the same starting conditions. They ask follow-up questions, raise objections and refine what they need until they reach a choice.
For each round, a brand can see:
- whether it appeared without being named;
- whether it was recommended;
- which brand was selected at the end;
- which unexpected alternatives entered the conversation;
- what the assistants valued or criticised;
- which sources influenced the exchange;
- how ChatGPT and Gemini differed;
- the exact phrase supporting each conclusion.
This does not replace ongoing question tracking. It adds the next layer: standard monitoring shows who appears in the first answer, while conversations show who remains convincing when the buyer gets closer to a decision.
Comparison: what a brand team should weigh
| Capability | The question it answers |
|---|---|
| Questions prepared for you | Can we start without specialist knowledge? |
| Direct and natural-discovery questions | What is said about us, and do we appear without being named? |
| ChatGPT + Gemini comparison | Do different assistants tell the same story? |
| Recommendation and position | Are we simply present, or are we a leading option? |
| Reputation with exact phrases | What do assistants praise or criticise? |
| Sources and links | What information is shaping the answer? |
| Categories, products and initiatives | Where exactly are we strong or missing? |
| Buyer conversations | Which brand wins after questions and objections? |
| English and Spanish | Can our teams and markets work in the right language? |
| Clear actions by section | Does the result tell us what to do next? |
A longer feature list is not automatically better. The best tool is the one your team can understand, trust and use to make a decision.
How to choose
- You lead a brand and do not have a specialist: prioritise automatic question preparation, plain explanations and evidence behind every conclusion.
- You work across English- and Spanish-speaking teams or markets: choose a genuinely bilingual product with country and language controls, not a translated report added as an afterthought.
- You manage several products or campaigns: check that results and recommendations can be separated by category, product, service or initiative.
- You care about purchase decisions: look beyond one-off questions and include buyer conversations.
- You are a specialist or agency: add project capacity, exports, deeper filters and repeatable reporting to the criteria above.
- You are starting: use a trial with a small, representative group of questions and judge whether the result is understandable without a walkthrough.
FAQ
Do I need specialist knowledge to use MentionScore?
No. You provide the brand and business context. MentionScore prepares the questions, and you can edit them before the analysis. Results are organised around practical questions such as whether you appear, how you are described and what to do next.
Is MentionScore only for Spanish-speaking users?
No. MentionScore is available in English and Spanish. The interface, public content and project setup support both languages, and you can select the countries and languages relevant to the audience you want to study.
What is the difference between questions that name my brand and those that do not?
Questions that name your brand measure direct reputation. Questions that do not name it reveal whether the assistants discover and recommend you naturally. MentionScore uses both so the result is not inflated by repeatedly asking about your own brand.
Does MentionScore cover ChatGPT and Gemini?
Yes. It compares both assistants and keeps the answer evidence behind the figures.
What are buyer conversations?
They are simulated purchase journeys in which the same type of buyer talks to ChatGPT and Gemini, asks follow-up questions and raises objections. The report shows how recommendations change and which brand each assistant chooses at the end.
Can it analyse individual products or campaigns?
Yes. In addition to the general brand view, projects can include categories, products or services, and initiatives, each with its own analysis and recommendations.
Does tracking guarantee that an assistant will recommend my brand?
No. MentionScore observes and explains what the assistants say. It helps your team identify patterns, evidence and actions, but it cannot control future answers.
Find out whether AI recommends your brand and what it says about it — start your free trial.