Understand the category
See which advertisers account for the largest share of sponsored placements in the available category snapshot, then inspect the ads behind that position.
Know who is visible before you plan.Personalized Ads Intelligence
A ChatGPT ads dashboard built around your market
Choose your category, company, and competitors. The dashboard organizes available ChatGPT ad observations into the market, rival, opportunity, context, and campaign evidence your team needs to make a decision.
Start free with a personalized view of the available intelligence evidence.
Intelligence dashboardExample dashboard view
Category briefingSee the market before choosing the move.
01Market composition
02Selected competitors
03Opportunity evidence
04Campaign context
- Advertisers in the library
- Thousands
- Sponsored placements observed
- Hundreds of thousands
- Distinct creatives captured
- Tens of thousands
- Markets represented
- Hundreds
What does the intelligence dashboard do?
It turns a large public ad library into a focused research workspace for one company and category. Instead of browsing thousands of ads without a plan, you begin with the category leaders, compare selected rivals, investigate lower-pressure prompt territories, inspect inferred context and observed campaign-tag evidence, and open the creatives that support each finding. The result is not an automatically generated market story. It is a structured, evidence-linked view that helps a marketer decide where to investigate and what to test next.
Start with the decision, not the dataset
The dashboard is organized around the questions marketers, founders, product teams, and agencies ask before they spend time or budget.
Compare the rivals that matter
Select up to three competitors and compare their observed share, creatives, prompt territories, landing-page campaign tags, and inferred targeting context.
Replace generic competitor research with evidence.Find a credible opening
Rank semantic prompt groups by verified openness, low advertiser pressure, evidence coverage, and relevance to your product description.
Build a test backlog from observed gaps.From setup to useful evidence in one flow
Personalization changes the order and relevance of the evidence. It does not change the observed facts or start a private monitoring process.
Choose the market
Select the category you want to understand and the competitors you want kept in view.
Add company context
Provide your company, website, and product description so the workspace can resolve entities and rank product-relevant opportunities.
Review the category briefing
Start with leaders and composition, then move into competitor, opportunity, context, campaign, or ad evidence.
Follow the proof
Open the advertiser profiles, prompts, creatives, and observed landing-page evidence behind each conclusion.
One intelligence workspace for the complete advertising decision
Begin with category intelligence, then carry the same evidence into deeper monitoring, planning, and controlled campaign work.
01
Category composition and advertiser ranking
02
Selected competitor comparison and prompt territories
03
Semantic opportunity groups and supporting evidence
04
Inferred context and observed campaign-tag research
05
Searchable advertiser and creative evidence
06
Dedicated advertiser and prompt monitoring
07
Visibility history and supported change detection
08
Evidence-backed campaign planning, activation, alerts, and briefings
Questions, answered plainly
What the evidence supports, where it stops, and how the dashboard should be used.
What is a ChatGPT ads intelligence dashboard?
It is a research workspace that organizes observed ChatGPT sponsored placements, advertisers, creatives, prompt territories, inferred context, and campaign-tag evidence around a selected category, company, and competitor set.
Does creating the dashboard immediately start tracking my company?
No. The initial dashboard personalizes evidence already available in the shared library. Dedicated recurring monitoring begins only after its scope and coverage are confirmed.
Do I need to be running ChatGPT ads already?
No. The dashboard is category-first, so companies that have not been observed can still study market leaders, selected competitors, lower-pressure prompt territories, and campaign evidence.
Does the dashboard generate conclusions with an AI model?
Dashboard loading is deterministic. It composes stored observations and calculated evidence. Product relevance can help order opportunities, but observed facts remain separate from personalization.
Turn the library into a view of your market.
Choose a category and the rivals you care about. The evidence stays linked to the ads and advertisers behind it.