ChatGPT Brand Insights | AI Search Optimization Tool | Aiso
ChatGPT Brand Insights
Aiso is the AI search optimization tool for ChatGPT brand insights. Track every citation, brand mention, sentiment shift, and competitor in ChatGPT answers from a single dashboard.
Bottom line
Most buyers now ask ChatGPT for recommendations before they ever visit a website, and two out of three of those answers name no brand at all. ChatGPT brand insights tell you whether ChatGPT 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.
ChatGPT by the numbers
- 900M weekly active users (Feb 2026)
OpenAI - 2.5B prompts sent to ChatGPT every day
Axios - ~1 in 3 ChatGPT prompts trigger a live web search
Search Engine Land
The visibility gap, in one picture
What happens to a buying question in ChatGPT
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.
- Buying-intent questions asked 100%
- Answers that name any specific brand ~1 in 3
- Answers that name a single brand (63% of the ones that recommend) the winner-take-most slot
The takeaway: there is a generic-answer gap on two-thirds of buying questions, and when ChatGPT does recommend, it usually names just one brand. ChatGPT brand insights tell you whether that one name is yours.
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.
- Millions real, anonymized AI conversations in Aiso’s panel
- 2 in 3 buying-intent questions got a generic answer - no specific brand named
- 1 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 ChatGPT brand tracking exists to close: knowing whether ChatGPT names you at all, and whether you’re the one name it picks.
What a real prompt set looks like
When we distill a category’s real ChatGPT conversations into a working buyer-intent prompt set, the same shape shows up across projects, and it is the insight most brands never see:
- ~85% of high-intent prompts are unbranded - the buyer names no company, so the slot is open
- Most are commercial, bottom-of-funnel questions where a recommendation converts
- A few hundred 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 ChatGPT brand insights map, prompt by prompt, so you know where you already win and where a competitor is being named instead of you.
ChatGPT brand insights vs. generic AI monitoring
Most “AI monitoring” tools tell you whether your brand was mentioned. ChatGPT brand insights tell you why, against whom, and what to do about it.
| What you get | Generic AI monitoring | Aiso ChatGPT 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 ChatGPT 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 ChatGPT 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 ChatGPT 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 ChatGPT brand insights cover
ChatGPT brand insights are six measurements of how ChatGPT 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 ChatGPT 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 ChatGPT answers |
| Sentiment | Tone of each mention: positive, neutral, negative | Identifies reputation risks before they spread |
| Source attribution | Which pages ChatGPT 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 to get ChatGPT brand insights in 5 steps
- Define your prompt set.
Pick 50-500 buyer-intent prompts that real customers ask ChatGPT about your category. - Run prompts daily.
Aiso runs each prompt against ChatGPT and logs the full answer plus citations. - Classify mentions.
Each answer is parsed for brand mentions, sentiment, and source URLs. - Benchmark competitors.
Aiso compares your share of voice and sentiment to every competitor on the same prompt set. - 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 ChatGPT brand insights?
Aiso is the AI search optimization tool built for ChatGPT brand insights. It tracks citation frequency, brand mention sentiment, share of voice, and competitor presence across ChatGPT answers in real time.
How do I get brand insights from ChatGPT?
Run a representative prompt set through ChatGPT, 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 ChatGPT brand insights?
Track six metrics: citation frequency, share of voice, sentiment, source attribution accuracy, competitor presence, and trend over time.
How often is ChatGPT brand insights data refreshed?
Aiso refreshes ChatGPT brand insights daily for tracked prompts and on-demand for ad-hoc queries.
Can I track competitors in ChatGPT 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.
Get ChatGPT brand insights in under 24 hours
Aiso provisions your prompt set, runs the first sweep, and returns a baseline report by tomorrow.