Group tracked questions by what buyers need
Understand what buyers need
Explore buyer needs in Dageno’s market dataset. Compare brand coverage by intent. Custom Prompt Monitoring separately follows questions your team chooses.
AI Search Intelligence Platform
Group market prompts by intent, compare brand visibility and rankings, and prioritize what to improve.
Enter your brand and choose a market
Group tracked questions by what buyers need
Explore buyer needs in Dageno’s market dataset. Compare brand coverage by intent. Custom Prompt Monitoring separately follows questions your team chooses.
Groups related questions
Read the answer to check the result
Compare related answers
Compare options and decide what fits.
From search terms to buyer questions
SEO teams group search terms by what people want to know. Dageno groups tracked AI questions in a similar way. For each group, check which brands the answers mention and which pages they cite.
Google Search Console (GSC) shows how your website performs in Google Search. Dageno shows what the selected AI services answer. Compare related pages and questions, but keep the metrics separate.
Explore GSC and GA4 data integration↗| Compare | SEO / GSC | AI answers |
|---|---|---|
| Questions | Queries people submit on Google | Tracked questions sent to AI |
| Grouping | Information, comparison, or purchase | Learn, compare, check fit, or act |
| What to check | Page visibility and clicks | Brand mentions and cited sources |
| Follow-up | Impressions, clicks, CTR, and rank | Later answers with the same settings |
01 / COMPETITION BY INTENT
For each buying intent, compare your brand’s rank and visibility with the leading competitors. Identify where you lead, trail, or are missing before selecting work.
Based on Dageno backend data
Apple · Smart Watches · Rankings by buying intent
Screenshot taken: Sep 8, 2026 (New York time).
Reporting period: not shown in this screenshot. The capture date is not the data period.
Leading brands are the competitors shown for that intent. Rank is the selected brand’s position; visibility is how often it appears in the compared answers. Demand share is not search volume.
| Sub-intents | Demand share | Leading brands | Rank |
|---|---|---|---|
| Find alternativesFind other options with a similar purpose to an existing product, service, or solution. | 1.1% | #171.4% visibility | |
| Choose by budget or tierFind a suitable option within a specific budget or price tier. | 5.5% | #432.9% visibility | |
| Choose for your needsFind a suitable option based on your use case, situation, and requirements. | 81.2% | #254.5% visibility | |
| See top recommendationsSee which options perform well overall. | 11.9% | #259.9% visibility | |
| Compare options & decideCompare several candidates to determine which one is the better fit. | 0.3% | #350.0% visibility |
ChatGPT
US · Full response textIf you’re using an iPhone and want a smartwatch you can confidently wear for swimming and showering, the key is looking for at least WR50 / 5ATM water resistance (pool-safe), or 10ATM / dive-rated if you want extra margin for ocean swimming. Here are the best options in 2026, split by what actually matters for iPhone users:
This is the most capable waterproof Apple Watch right now.
👉 If you want “never worry about water,” this is the top pick.
👉 Best balance if you don’t need extreme diving features.
👉 Good if you mainly want notifications + swimming.
⚠️ Tradeoff: not as smooth with iPhone messaging/apps as Apple Watch.
If you tell me your budget and whether you swim more in a pool vs ocean, I can narrow it to 1–2 perfect picks.
02 / CHECK THE ORIGINAL ANSWERS
Choose an intent group and open one tracked question. Review its AI model, region, original answer, and cited pages.
Based on Dageno backend data
Choose for Your Needs · ChatGPT · US · Complete saved response text
Saved answer retrieved: Sep 10, 2026.
Complete response text and 12 source links; image groups are not included.
Search Intents methodology
Organize the tracked market questions by intent, compare brand rankings and visibility, and identify relevant competitive gaps. Use the original answers to choose improvements by business importance. The analysis describes the selected questions, not total customer demand.
From intent competition to priorities
Combine user intent, competitive position, and business importance to set priorities. Improve the relevant product facts, comparisons, buying information, or supporting sources; not every prompt needs an article.
Identify the buying intents that matter to your products, customers, and current goals.
Review your rank, visibility, leading competitors, and answer count within each priority intent.
Read the answers and citations, then decide whether product facts, comparisons, buying information, or independent sources need attention.
Record the action and compare periods of equal length with the same questions, models, and regions.
DAGENO DATA FOUNDATION
Dageno standardizes AI search data daily across models, markets, and channels. It connects answers, citations, products, ads, and search signals into one traceable foundation for market decisions.
Ads, advertisers, and placements across ChatGPT and Google AI.
Products, prices, reviews, merchants, and citations across AI shopping.
Market data across 12,000+ market categories.
Supports leading models including ChatGPT, Gemini, Google AI Overview, Perplexity, Grok, and more.
Frequently asked questions
It organizes market prompts by user intent, compares brand rank, visibility, and leading competitors within each intent, and helps prioritize improvements. Original answers and citations let you investigate the gaps. It does not measure total search volume.
A Topic is the subject you track. A Prompt is a specific question you ask AI about that subject. Search intent is the purpose of the question, such as comparing options or checking prices.
It tells you whether AI mentions your brand in answers to that group of questions. It does not tell you how many people searched, bought, or preferred the brand.
Use visibility to see how often each brand is mentioned, rank to compare brands, and answer count to check how much data supports the result. Keep the questions, model, region, and dates consistent.