ContextHint
Analyze / Agencies

Give every client a ChatGPT ad research trail

Separate each market, keep the source records behind every finding, and move from competitor discovery to a client-ready research brief without inventing performance data.

Direct answer

How can agencies use ChatGPT ad intelligence?

Agencies can use ChatGPT ad intelligence to define a client's market, review candidate competitors, compare captured creatives and prompts, request fresh country-specific evidence, and retain the dated records behind recommendations. Client performance still has to be measured in the client's own ad account and analytics.

Keep client markets separate

A useful agency workflow begins with the client's product and buyer, not one shared industry list.

01.01

Company-led setup

Define the client's product, website, audience, category, and market question before selecting competitors.

01.02

Reviewed competitor set

Show why each candidate appears and pin only the companies the client team agrees are relevant.

01.03

Country-specific scope

Use the same research question across selected countries when regional differences matter to the brief.

Build recommendations from inspectable records

A client should be able to see the observation behind a recommendation.

02.01

Creative comparison

Group observed headlines, descriptions, images, offers, and destinations around the buyer situations they address.

02.02

Prompt evidence

Retain the tested questions observed with ads so the research does not collapse into an unsupported keyword list.

02.03

Provenance in the brief

Include countries, observation dates, source records, and inference labels alongside conclusions.

Move from research to campaign planning

The dashboard and plugin share the same evidence boundary while supporting different working styles.

03.01

Dashboard workflow

Use Your Market for the persistent client view, Pro Library for broad research, and Data Requests for missing fresh evidence.

03.02

Plugin workflow

Bring selected evidence into a supported assistant to draft hypotheses, compare options, and evaluate context-hint candidates.

03.03

Client-owned validation

Judge delivery and business performance using the client's Ads Manager and conversion data after launch.

Evidence boundary

What this evidence does not claim

Agency research is based on sampled public ad observations, detected landing-page signals, and labelled analytical inference. ContextHint does not provide competitors' private campaign settings or performance and should not be presented as doing so in client reports.

FAQ