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
19,050
Sponsored placements observed
906,195
Niches covered
970

Two kinds of ChatGPT ads dashboard

A "ChatGPT ads dashboard" can mean one of two things. A performance dashboard reports on your own campaigns, through OpenAI's Ads Manager or a tool that reads its Ads API. A market dashboard shows which other advertisers appear in ChatGPT, with their ads and the questions they appeared for. This page is the second kind.

OpenAI Ads Manager reportingChatGPT Ad Library dashboard
Whose adsYour own ad accountAdvertisers observed in our library
Data sourceOpenAI's delivery dataAd placements our collector recorded in ChatGPT
MetricsImpressions, clicks, spend, CTR, CPC, CPM, conversions, CPA, attributed sales and ROASObserved placements, ads, advertisers and the questions they appeared for
Competitors' adsNoYes
Spend and cost dataYesNo

What OpenAI's own ChatGPT ads reporting shows

OpenAI's reporting covers impressions, clicks, spend, CTR, CPC and CPM, plus conversions, cost per action, post-click conversion rate, attributed sales and return on ad spend. Reports can be broken down by country, device, platform and product. Impressions and clicks can appear within minutes, spend updates later, and conversions need at least a day. Hourly and product reporting go back about 30 days, and other delivery reporting 365 days. Conversions use a 30-day click and 1-day view window by default. It covers only your own ad account.

Source: OpenAI's reporting documentation, checked on 29 Oct 2026. More: ChatGPT ads measurement and ChatGPT Ads API.

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.

What the dashboard does not show

It shows no spend, CPC, impressions or conversions for any advertiser; those exist only in each advertiser's own Ads Manager. Our counts describe the questions we ask, not all of ChatGPT.

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.

01

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.
02

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.
03

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.

  1. Choose the market

    Select the category you want to understand and the competitors you want kept in view.

  2. Add company context

    Provide your company, website, and product description so the workspace can resolve entities and rank product-relevant opportunities.

  3. Review the category briefing

    Start with leaders and composition, then move into competitor, opportunity, context, campaign, or ad evidence.

  4. 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

Start building my intelligence dashboard

Questions, answered plainly

What the evidence supports, where it stops, and how the dashboard should be used.

01

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.

02

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.

03

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.

04

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.

05

Does OpenAI give advertisers a ChatGPT ads dashboard?

Yes. Ads Manager reporting, also available through the Ads API, shows impressions, clicks, spend, CTR, CPC, CPM and conversions for your own ad account. It doesn't show other advertisers' ads.

06

Can I see my competitors' ChatGPT ads?

Not in Ads Manager. Our library has recorded 19,050 advertisers since Apr 2026, and the dashboard shows their ads and the questions they appeared for, but not their spend.

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.

Build my intelligence dashboard

Something missing, or want to work together?

Questions about the data, a brand you expected to see, partnerships, or access to the intelligence layer. We read every message.

Contact us →