ContextHint
← ContextHint MCPQUESTIONS, INPUTS, AND OUTPUTS

See how a campaign question becomes an evidence-backed answer.

Ask ContextHint from Codex or Claude in ordinary language. Your agent chooses the right capability, brings in the relevant product context, and returns the targeting recommendation with evidence you can inspect.

Browse example questions ↓Connect the MCP →
WHAT YOU CAN ASK

Start with the work you need done.

These are starting points, not commands. Add the product, audience, market, or competitor context already available in your workspace.

01

Generate and validate

  1. Use the product brief in this workspace to generate a context hint.
  2. Which real prompts support this recommendation, and does the niche fit our buyer?
  3. Give me an alternate targeting angle without making the hint broader.
02

Research a market

  1. Which advertisers are most active in SaaS and productivity conversations?
  2. What buyer intents appear most often in this niche?
  3. Show representative inferred context hints used across this market.
03

Investigate competitors

  1. Find advertisers whose ChatGPT ads are semantically similar to this product.
  2. How does ClickUp appear to target buyers across different niches?
  3. What audience, intent, and topic patterns appear in Mastercard’s captured ads?
04

Learn the model

  1. What is a context hint, and how is it different from a keyword list?
  2. Review this draft context hint for specificity and vagueness risk.
  3. What information should I add to my brief before generating a hint?
INTERACTIVE OUTPUT PREVIEW

One request can return more than the context hint.

Switch between representative responses for generation, similar-advertiser discovery, niche research, and advertiser intelligence.

REQUEST

Build the targeting plan for project operations leaders at professional services firms.

PRIMARY CONTEXT HINTSaaS & Productivity
Project operations and delivery leaders at mid-market professional services firms comparing platforms for portfolio visibility, resource forecasting, and early margin-risk signals.
Audience

Project operations and delivery leaders

Intent

Comparison

Topic

Portfolio visibility and resource forecasting

Quality

Specific, commercially relevant, low vagueness

MATCHED PROMPTS

Which platforms help with portfolio-level project visibility?

Which tools surface project margin erosion before month end?

Representative demo based on the current MCP response structure. Inferred competitor patterns are reconstructed from captured ads, not copied from private advertiser settings. Live results vary with the brief and available evidence.

HOW THE MCP WORKS

The agent handles the tools. You stay in the conversation.

01

Ask naturally

Start with the campaign decision you need to make. You do not need to remember a tool name or command.

02

Your agent calls ContextHint

Codex or Claude selects the relevant capability and passes only the product context needed for the request.

03

Inspect the answer

The MCP returns structured intelligence, evidence links, confidence, methodology, and dataset freshness for the agent to synthesize.

TRY IT IN YOUR WORKSPACE

Bring a real brief. Ask one real campaign question.

ContextHint is free during early access. Connect the production MCP endpoint once, then use it from Codex or Claude whenever targeting or market questions come up.

Open the setup guide →Return to the MCP overview