Presence in answers
Identify the answers that mention your brand and its share of the analyzed set. Connect that reading with the questions and categories that matter to your business.
Measure where you appear, which brands you are compared with and which sources shape the answers. Analytics connects presence, narratives and citations to guide your team’s work.
Compare your presence with other brands and follow how it changes between readings.
| Reading | Your brand | Competitor A | Competitor B |
|---|---|---|---|
| Reading 1 | 20% | 34% | 18% |
| Reading 2 | 24% | 32% | 20% |
| Reading 3 | 22% | 36% | 24% |
| Reading 4 | 28% | 30% | 22% |
| Reading 5 | 26% | 34% | 20% |
| Reading 6 | 30% | 38% | 26% |
| Reading 7 | 32% | 36% | 24% |
| Reading 8 | 26% | 34% | 24% |
| Reading 9 | 30% | 35% | 22% |
| Reading 10 | 28% | 35% | 25% |
| Reading 11 | 34% | 33% | 26% |
| Reading 12 | 40% | 36% | 25% |
| Reading 13 | 36% | 32% | 28% |
| Reading 14 | 38% | 32% | 28% |
An answer can mention more than one brand.
| Topic | Answers | Mentions | Presence |
|---|---|---|---|
| Ease of use | 30 | 12 | 40% |
| Initial setup | 24 | 8 | 33.3% |
| Customer support | 20 | 9 | 45% |
| Value for money | 16 | 5 | 31.3% |
| Trust | 10 | 4 | 40% |
38 of 100 answers mention Your brand in the latest reading. 100 answers per reading.
Explore recurring topics and the tone AI uses to describe your brand.
Distribution of 100 mentions across five topics.
Analyzed answerYour brand brings briefs, comments and reviews together with straightforward navigation.
The response values simplicity and work organization.
Explore the sourcesAnalyzed answerYour brand helps organize projects, although setting up permissions may require guidance.
A functional description appears alongside a reservation about getting started.
Explore the sourcesAnalyzed answerYour brand's documentation guides the first steps. The response does not specify support response times.
The description provides context without establishing how the support team performs.
Explore the sourcesAnalyzed answerYour brand may suit teams that need to centralize reviews. Each plan's scope should be checked.
The recommendation is conditional and does not establish a price advantage over other brands.
Explore the sourcesAnalyzed answerThe product page describes Your brand's features without an independent assessment.
A source's existence alone does not establish trust or preference.
Explore the sourcesHow positive mentions of Your brand evolve.
| Reading | Positive |
|---|---|
| Reading 8 | 44% |
| Reading 9 | 50% |
| Reading 10 | 48% |
| Reading 11 | 52% |
| Reading 12 | 58% |
| Reading 13 | 54% |
| Reading 14 | 56% |
Connect mentions with the domains and pages cited as references.
Domains referenced across 100 citations.
| Domain | Type | Citations | Share |
|---|---|---|---|
| Own | 32 | |
| Editorial | 24 | |
| Comparison | 16 | |
| Community | 12 | |
| Editorial | 10 | |
| Competitor A | 6 |
Distribution of the 32 citations to the owned domain.
| Page | Citations | Share |
|---|---|---|
| 14 | |
| 10 | |
| 8 |
Presence · Narratives · Sources
An answer can recommend a brand, compare it with others or describe it without linking to its website. Understanding your position requires the question, the context of the mention and its sources. Analytics organizes these signals to help you decide what to review and which content to work on.
Identify the answers that mention your brand and its share of the analyzed set. Connect that reading with the questions and categories that matter to your business.
Review the attributes associated with your brand and how tone changes across topics. Return to the answer to distinguish a recommendation, a description and a reservation.
Recognize the sources used as references. Separate your own content from publishers, comparison sites and communities to understand where conversations about your category take shape.
Compare your presence with the alternatives configured for the same set of questions. Find the topics where you appear and those where other brands receive more mentions.
Compare readings that preserve compatible questions and conditions. The context of each measurement helps identify changes worth reviewing and investigate what might have caused them.
Connect each finding to its question, answer and source. Share the diagnosis with marketing, content and leadership to agree on what to investigate and what to do next.
A percentage is the beginning of a reading. Its value comes from explaining what lies behind it and turning that understanding into a priority for your team. Define the scope with KAIRUM and review the evidence with that goal in mind.
Start with your category, your products and the decisions your audience makes. Organize discovery, comparison and choice questions to examine your presence in specific situations.
Review the brand mentioned, its alternatives and the available sources. Keep the date, surface and coverage to understand what each observation represents and which comparisons it supports.
Look for topics with limited presence, incomplete descriptions or sources worth reviewing. Return to the text supporting each finding before drawing a conclusion.
Bring priorities into your editorial strategy. Connect the diagnosis to AI Report, Consulting or draft preparation in Agents, with your team’s review.
Visibility analytics brings different signals together. Its value lies in returning to the question, answer and source before drawing a conclusion.
Document questions, dates, language, observed environment and coverage. Every percentage needs a denominator.
Read mentions and citations in their answers. Website visits need a separate authorized analytics source.
Repeat compatible conditions and record changes in models or questions. A difference alone does not prove an intervention worked.
Mentions, alternatives, sources and the context of each answer. Reading them together helps reveal what needs attention.
The context of the pack, questions, queried surface and coverage. Comparisons must preserve these conditions and flag changes.
Not on its own. An observed variation does not prove that an intervention caused it. Analysis must consider other explanations.
Yes. We can define what you want to observe and what evidence would make the follow-up useful before agreeing on a scope.
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