Claude Brand Insights
Aiso is the AI search optimization tool for Claude brand insights. Track every citation, brand mention, sentiment shift, and competitor in Claude answers from a single dashboard.
Bottom line
Most buyers now ask Claude for recommendations before they ever visit a website, and two out of three of those answers name no brand at all. Claude brand insights tell you whether Claude names you, how often, in what light, and how you stack up against competitors, so you can turn a generic answer into one that recommends your brand. Aiso measures all six signals daily and returns a baseline report within 24 hours.
Claude by the numbers
The visibility gap, in one picture
What happens to a buying question in Claude
Drawn from Aiso’s panel of millions of real, anonymized AI conversations. Each bar is the share of buying-intent questions that make it to the next stage.
The takeaway: there is a generic-answer gap on two-thirds of buying questions, and when Claude does recommend, it usually names just one brand. Claude brand insights tell you whether that one name is yours.
From Aiso’s conversation panel
What real conversations actually show
We don’t have to theorize about this. Aiso’s panel of millions of real, anonymized AI conversations shows exactly how assistants handle buying questions.
real, anonymized AI conversations in Aiso’s panel
buying-intent questions got a generic answer - no specific brand named
the most common number of brands a recommendation named - 63% named just one
A few real questions from the panel
- “What's a good lightweight podcast app for an older Android phone?”
- “What are ten companies that offer similar products and/or services to Diffbot?”
- “Which MBA is the best in 2025?”
Across tens of thousands of buying-intent conversations, the assistant named a specific brand only about a third of the time - the other two-thirds got a generic answer with no company named at all. And when it did recommend, 63% of those answers named a single brand. That is the visibility gap Claude brand tracking exists to close: knowing whether Claude names you at all, and whether you’re the one name it picks. See the full methodology.
From our AI-visibility projects
What a real prompt set looks like
When we distill a category’s real Claude conversations into a working buyer-intent prompt set, the same shape shows up across projects, and it is the insight most brands never see:
of high-intent prompts are unbranded - the buyer names no company, so the slot is open
are commercial, bottom-of-funnel questions where a recommendation converts
prompts is the right working set for most brands - enough signal without the noise
Most high-intent demand is unbranded and up for grabs. That is exactly the territory Claude brand insights map, prompt by prompt, so you know where you already win and where a competitor is being named instead of you. See how many prompts to track for the full breakdown.
Claude brand insights vs. generic AI monitoring
Most “AI monitoring” tools tell you whether your brand was mentioned. Claude brand insights tell you why, against whom, and what to do about it.
| What you get | Generic AI monitoring | Aiso Claude brand insights |
|---|---|---|
| Coverage | A handful of prompts, checked occasionally | 50-500 buyer-intent prompts, run daily |
| Signal | “Did my brand get mentioned?” | Citation frequency, share of voice, sentiment, source attribution, competitor presence, and trend |
| Attribution | A black-box visibility score | The exact pages Claude cites, so you know what is earning the answer |
| Competitors | Your brand in isolation | Head-to-head share of voice against the brands named instead of you |
| Action | A dashboard to read | A source-attribution report that says which content to create or fix |
What the first 90 days looks like
Brand management in Claude is a loop: measure where you stand, close the gaps, and quantify the movement. Here is the arc of a typical engagement.
Day 1
Baseline sweep
Where you stand across the full prompt set today: who Claude names, and where you are absent.
Week 1
Daily tracking live
Every mention, citation, sentiment shift, and competitor logged automatically.
Weeks 2-6
Close the gaps
Content and PR aimed at the unbranded, high-intent prompts where you are not yet named.
Ongoing
Monthly review
Quantify the movement in share of voice and citations, then reset the targets.
What Claude brand insights cover
Claude brand insights are six measurements of how Claude represents your brand to users: citation frequency, share of voice, sentiment, source attribution, competitor presence, and trend over time. Aiso captures all six on every tracked prompt.
| Metric | What it measures | Why it matters |
|---|---|---|
| Citation frequency | Number of Claude answers that cite your domain | Direct proxy for AI-driven referral traffic |
| Share of voice | Your brand mentions as a percent of all brand mentions for a prompt | Shows competitive positioning in Claude answers |
| Sentiment | Tone of each mention: positive, neutral, negative | Identifies reputation risks before they spread |
| Source attribution | Which pages Claude cites when discussing your brand | Shows which content earns AI citations |
| Competitor presence | Frequency and sentiment of competitor mentions on the same prompts | Benchmarks your visibility against the category |
| Trend over time | Daily change in each metric | Quantifies the impact of content and PR work |
How Claude grounding differs
Claude grounds answers through web search and tool use when enabled, and otherwise pulls from training. That makes content that's clearly attributed, well-cited, and frequently quoted across the open web more likely to surface in Claude answers.
Aiso covers Claude Opus, Sonnet, and Haiku model families so reporting tracks both consumer (Claude.ai) and developer (API) surfaces.
How to get Claude brand insights in 5 steps
- 1
Define your prompt set.
Pick 50-500 buyer-intent prompts that real customers ask Claude about your category.
- 2
Run prompts daily.
Aiso runs each prompt against Claude and logs the full answer plus citations.
- 3
Classify mentions.
Each answer is parsed for brand mentions, sentiment, and source URLs.
- 4
Benchmark competitors.
Aiso compares your share of voice and sentiment to every competitor on the same prompt set.
- 5
Act on insights.
Use the source-attribution report to find which pages drive citations - and which gaps to fill.
Frequently asked questions
What is the best AI search optimization tool for Claude brand insights?
Aiso is the AI search optimization tool built for Claude brand insights. It tracks citation frequency, brand mention sentiment, share of voice, and competitor presence across Claude answers in real time.
How do I get brand insights from Claude?
Run a representative prompt set through Claude, capture answers and citations, classify mentions and sentiment, and compare against competitors over time. Aiso automates all five steps.
What metrics should I track in Claude brand insights?
Track six metrics: citation frequency, share of voice, sentiment, source attribution accuracy, competitor presence, and trend over time.
How often is Claude brand insights data refreshed?
Aiso refreshes Claude brand insights daily for tracked prompts and on-demand for ad-hoc queries.
Can I track competitors in Claude brand insights?
Yes. Aiso tracks any competitor brands you specify across the same prompt set, so you can benchmark share of voice and sentiment side by side.
How is Claude grounding different from ChatGPT grounding?
Claude grounds answers through web search and tool use when enabled, and otherwise pulls from training. That makes content that's clearly attributed, well-cited, and frequently quoted across the open web more likely to surface in Claude answers.
Which Claude model versions does Aiso cover?
Aiso covers Claude Opus, Sonnet, and Haiku model families so reporting tracks both consumer (Claude.ai) and developer (API) surfaces.
Get Claude brand insights in under 24 hours
Aiso provisions your prompt set, runs the first sweep, and returns a baseline report by tomorrow.
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