Mention rate
27.9%Own-brand presence in eligible AI answers.
AI Visibility
What question does it answer?
One manual query cannot describe your presence over time. Repeated measurements of selected questions produce saved answers and breakdowns you can compare.
Real project · real data
See AI visibility in practice
The Intren – SEO overview brings together how often AI mentions and cites the brand, where it ranks in recommendations, and the tone of those mentions.
Average AI position
#1.64Recommendation rank where an order can be measured.
Sentiment score
90.7%An aggregate score for the tone of brand mentions.
Share of mentions
8.6%The brand’s share of the measured brand mentions.
Citation rate
26.6%The overview metric for citations of own sources.
Open the full-size screenshot
A fixed project snapshot, not a live report. Metrics describe the reporting period and measurement scope shown.
Mention rates by platform show where presence is stronger and which answers deserve a closer look.
| AI platform | Eligible answers | Own-brand answers | Mention rate |
|---|---|---|---|
| OpenAI API | 258 | 65 | 25.2% |
| Gemini API | 256 | 90 | 35.2% |
| Perplexity API | 258 | 68 | 26.4% |
| ChatGPT | 209 | 32 | 15.3% |
| Google AI Mode | 258 | 85 | 32.9% |
| Google AI Overview | 227 | 69 | 30.4% |
The MCP summary contains 409 own-brand answers out of 1,466 eligible answers (27.9%). The admin screenshot shows 1,497 examined answers, a different data scope. For Google AI Overview and AI Mode, only actual AI answers enter the mention-rate denominator.
Read the metrics together
The 27.9% mention rate and 1.64 average position reveal both how often the brand appears and how highly AI recommends it when an order can be measured.
Find your next focus
In this period, Gemini API shows a 35.2% mention rate and ChatGPT 15.3%. Reviewing prompts and saved answers helps identify which questions account for the difference.
Compare the same measurement scope
The period, tags, AI models and answer counts provide context. With different sample sizes across platforms, the overall rate is not a simple average of their percentages.
What do you see?
- Appearance rate: the percentage of eligible answers that mention your brand at least once.
- Daily trends, answer counts, and period comparisons.
- Prompt, tag, and provider breakdowns with retrievable answers.
How do you use it to decide?
- Choose buying, comparison, and brand questions.
- Group prompts by topic and configure measurement schedules.
- Identify weaker topics and track the same questions after making changes.
An illustrative use case
Your brand appears often in questions about its own name, but rarely in general supplier recommendations. Topic breakdowns help distinguish brand awareness from recommendation visibility.
An illustrative scenario, not a customer result or a promise of results.
What does measurement require?
Brand names, domains, and selected prompts are required. Basic measurement does not require GA4 or Search Console. Available providers and measurement frequency depend on subscription settings.
Frequently asked questions
Does this measure every AI user’s answers?
It measures answers to configured prompts. APIs and separately measured interfaces can differ. The metric describes the selected questions, rather than the whole market.
What if Google does not show an AI answer?
Only eligible, actual AI answers enter the appearance-rate denominator. A confirmed absence of an AI answer and an unknown retrieval state are recorded separately.
Which prompts should I start with?
Choose questions about supplier selection, alternatives, and problems your buyers need to solve. Group brand-name questions separately from general recommendations.
How many questions are enough?
There is no universal count. Coverage of important buying situations, platforms, and repeated measurements all matter. Always check eligible answer counts alongside percentages.
Why can the same question produce different results?
Answers vary over time and between retrievals. Models, search context, and available sources can change. Repeated measurements help distinguish isolated differences from recurring patterns.
Can I track brand-name variants?
Projects support multiple owned brand names and domains. Record unambiguous variants and review context when a name is also a common word.
Related features
Prompt management and suggestions
Build a measurement set from buyer questions with domain- or topic-based suggestions, intent classification, demand context, and scheduled answer analysis.
Explore this feature →: Prompt management and suggestionsPrompt 360
Explore one question’s measured answers, owned mentions, competitors, and connected owned or external URLs.
Explore this feature →: Prompt 360Competitor benchmarking
See your brand alongside competitors: who receives more mentions, who ranks higher in AI recommendations and which new brands appear in answers.
Explore this feature →: Competitor benchmarkingMake your AI presence measurable
Request a quote for your project
Tell us which brand and website you want to measure and what question you need to answer. We will discuss the subscription and data connections your project requires.