ContextAsk the plugin for the exact campaign decision you need.
Replace the bracketed text, paste the prompt into the Claude, ChatGPT, or Codex conversation that already knows your product, and inspect the cited evidence in the ContextHint Pro Library.
Prompt templates for every plugin feature, by journey →01START HERECreate the complete ChatGPT Ads campaign report
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Create the complete ChatGPT Ads campaign report
Create a complete ChatGPT Ads campaign intelligence report for [BRAND, WEBSITE, OR PRODUCT]. Use the product knowledge already in this conversation and use the ContextHint Plugin for market evidence. Cover all of the following: 1. The recommended buyer conversation, audience, buying moment, and campaign objective. 2. Niche selection and whether the evidence pool genuinely matches the intended customer. 3. The strongest captured buyer prompts, grouped by research, comparison, and decision intent. 4. Nearby and competing advertisers, with direct ContextHint Pro Library advertiser links where I can inspect their actual captured creatives. 5. Observed creative and positioning patterns, including offers, messages, proof, objections, and calls to action when the evidence supports them. 6. Three differentiated creative directions for our campaign. Clearly label these as your recommendations, not observed ads. 7. A campaign ready context hint, an alternate targeting angle, and deterministic validation. Revise once if validation requires it. 8. Risks, evidence gaps, and what should be tested first. Separate every section into Observed, Inferred, and Recommended findings. Preserve and cite every relevant ContextHint Pro Library URL returned by the tools. Include clickable links for captured prompt evidence and advertiser pages, plus any direct creative links returned, so I can inspect the underlying ads myself. End with a concise Sources section containing each useful Pro Library URL exactly once.
Use this whenYou want one decision-ready report before planning a new campaign or presenting the opportunity to a client.
What you should receiveA complete campaign brief with buyer conversations, prompt evidence, advertisers, creative intelligence, recommendations, a validated context hint, limitations, and inspectable Library sources.
Evidence ruleObserved claims should include inspectable ContextHint Pro Library links. Inferences and recommendations must be labelled rather than presented as advertiser facts.
02CAMPAIGN PLANPlan a new campaign from an existing product brief
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Plan a new campaign from an existing product brief
Plan a ChatGPT Ads campaign for [PRODUCT OR WEBSITE]. Use the product brief already in this conversation. Recommend the campaign objective, primary audience, buying moment, buyer conversation, niche, and context hint. Retrieve supporting prompts and nearby advertisers before making the recommendation. Separate observed evidence from inference and recommendation, cite the relevant ContextHint Pro Library prompt and advertiser URLs, and flag any mismatch between the evidence pool and our intended customer.
Use this whenThe product is clear, but the campaign direction and targeting structure have not been selected.
What you should receiveOne prioritized campaign direction, an alternate angle, supporting evidence, and a validated context hint.
Evidence ruleObserved claims should include inspectable ContextHint Pro Library links. Inferences and recommendations must be labelled rather than presented as advertiser facts.
03AUDIENCEChoose the buyer conversation and audience
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Choose the buyer conversation and audience
For [PRODUCT OR WEBSITE], determine which buyer conversation offers the strongest ChatGPT Ads opportunity. Compare the plausible audiences, buying situations, problems, and commercial intents. Use captured prompt evidence to rank the options, explain which audience should be excluded, and recommend one primary and one secondary campaign direction. Cite every relevant ContextHint Pro Library prompt URL used in the decision.
Use this whenSeveral ICPs or use cases are possible and you need to avoid combining them into one vague campaign.
What you should receiveA ranked audience and conversation map with inclusion, exclusion, and evidence-backed prioritization.
Evidence ruleObserved claims should include inspectable ContextHint Pro Library links. Inferences and recommendations must be labelled rather than presented as advertiser facts.
04PROMPT RESEARCHMap the buyer prompts by intent
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Map the buyer prompts by intent
Find the captured ChatGPT prompts most relevant to [PRODUCT, AUDIENCE, OR CAMPAIGN]. Group them into research, comparison, decision, implementation, and problem-aware themes when supported. For every theme, explain the buyer signal, commercial relevance, fit to our customer, and risk of false positives. Cite a clickable ContextHint Pro Library URL for every representative prompt and do not present a prompt without its source link.
Use this whenYou know the customer but need to understand which questions indicate a useful advertising moment.
What you should receiveA prompt opportunity map with intent, relevance, exclusions, and direct evidence links.
Evidence ruleObserved claims should include inspectable ContextHint Pro Library links. Inferences and recommendations must be labelled rather than presented as advertiser facts.
05NICHE FITValidate the correct niche before targeting
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Validate the correct niche before targeting
Determine the best evidence backed niche for [PRODUCT OR WEBSITE]. Compare the likely niche options against the actual prompts, advertisers, and inferred context hints in each pool. Reject niches whose evidence describes the wrong buyer even if semantic similarity is high. Recommend the strongest available niche, disclose when no niche is a clean fit, and cite the ContextHint Pro Library URLs that make the fit or mismatch visible.
Use this whenAutomatic niche detection looks broad, adjacent, or distorted by a word in the brand or product name.
What you should receiveA transparent niche decision with alternatives, mismatch evidence, and a confidence limitation.
Evidence ruleObserved claims should include inspectable ContextHint Pro Library links. Inferences and recommendations must be labelled rather than presented as advertiser facts.
06COMPETITIONBuild the competitive advertiser landscape
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Build the competitive advertiser landscape
Research the advertiser landscape surrounding [PRODUCT, WEBSITE, OR MARKET]. Find brands competing for similar ChatGPT conversations, explain why each is relevant, and distinguish direct competitors from adjacent advertisers. For every advertiser, provide the direct ContextHint Pro Library advertiser URL where I can inspect its captured creatives. Summarize observed positioning patterns, infer audience and intent carefully, and identify defensible white space for our campaign.
Use this whenYou need a defensible competitive set and positioning map rather than competitors recalled from general model knowledge.
What you should receiveA tiered advertiser map with observed evidence, inferred targeting patterns, creative inspection links, and differentiation opportunities.
Evidence ruleObserved claims should include inspectable ContextHint Pro Library links. Inferences and recommendations must be labelled rather than presented as advertiser facts.
07ADVERTISER TEARDOWNAudit one advertiser and its captured creatives
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Audit one advertiser and its captured creatives
Audit [ADVERTISER] using the ContextHint Plugin and the captured evidence in the ContextHint Pro Library. Show the niches and buyer conversations where it appears, the associated prompts, and the inferred audience, intent, topic, offer, positioning, and objections. Provide the advertiser's direct Pro Library URL and cite any direct creative URLs returned by the tools so I can inspect the actual ads. Clearly separate what was observed in captured ads from what you inferred and what you recommend we learn from it.
Use this whenA specific competitor, partner, or category leader deserves a focused targeting and creative teardown.
What you should receiveAn evidence-labelled advertiser profile with creative inspection links, targeting inference, caveats, and campaign implications.
Evidence ruleObserved claims should include inspectable ContextHint Pro Library links. Inferences and recommendations must be labelled rather than presented as advertiser facts.
08CREATIVE STRATEGYTurn market evidence into creative directions
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Turn market evidence into creative directions
Develop ChatGPT Ads creative directions for [PRODUCT OR CAMPAIGN]. First retrieve the relevant buyer prompts, nearby advertisers, and captured creative evidence. Cite the ContextHint Pro Library advertiser and creative URLs used. Then recommend three distinct creative territories, each with the buyer tension, promise, proof needed, objection addressed, headline direction, body-copy direction, call to action, and the conversations it should accompany. Do not copy competitor language. Label captured patterns as Observed and all proposed copy as Recommended.
Use this whenTargeting is taking shape and the creative team needs evidence-backed angles rather than generic AI copy.
What you should receiveThree differentiated creative territories tied to buyer prompts, competitive evidence, and specific testing hypotheses.
Evidence ruleObserved claims should include inspectable ContextHint Pro Library links. Inferences and recommendations must be labelled rather than presented as advertiser facts.
09CREATIVE REVIEWReview creative against its target conversation
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Review creative against its target conversation
Review this ChatGPT Ads creative against the intended context hint and buyer conversation: [PASTE CREATIVE AND CONTEXT HINT]. Retrieve relevant prompt and advertiser evidence, then assess message match, specificity, credibility, objection handling, likely false-positive conversations, and landing-page continuity. Cite the ContextHint Pro Library evidence URLs used. Recommend precise revisions, but keep the review separate from any claims about delivery or performance.
Use this whenA draft ad exists and you need to check whether it actually belongs in the conversations being targeted.
What you should receiveA message-to-context fit review with evidence, risks, and an actionable revision brief.
Evidence ruleObserved claims should include inspectable ContextHint Pro Library links. Inferences and recommendations must be labelled rather than presented as advertiser facts.
10CONTEXT HINTGenerate and validate a campaign-ready context hint
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Generate and validate a campaign-ready context hint
Generate a campaign-ready context hint for [PRODUCT OR WEBSITE]. Use the ContextHint Plugin to retrieve evidence first. Confirm that the selected niche and prompts match the intended buyer, write one structured candidate yourself, and validate it against the prompt pool. Revise exactly once if required. Return the best candidate, alternate angle, audience, intent, topic, constraint, validation level, matched and contrastive prompts, and direct ContextHint Pro Library evidence URLs.
Use this whenYou need the final ad-group targeting instruction, not just a broad campaign idea.
What you should receiveA model-authored and deterministically validated hint with niche-fit checks and inspectable evidence.
Evidence ruleObserved claims should include inspectable ContextHint Pro Library links. Inferences and recommendations must be labelled rather than presented as advertiser facts.
11HINT REVIEWAudit and repair an existing context hint
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Audit and repair an existing context hint
Audit this existing context hint for [PRODUCT]: [PASTE CONTEXT HINT]. Retrieve the relevant evidence, then diagnose audience clarity, buying moment, intent, topic, constraints, vagueness, false-positive risk, and niche fit. Validate the original, rewrite it only where the evidence supports a change, validate the revision, and compare both versions. Cite the matched and contrastive ContextHint Pro Library prompt URLs behind the decision.
Use this whenA hint already exists but it appears generic, matches the wrong prompts, or needs evidence before launch.
What you should receiveA before-and-after validation with a focused diagnosis, revised hint, and evidence links.
Evidence ruleObserved claims should include inspectable ContextHint Pro Library links. Inferences and recommendations must be labelled rather than presented as advertiser facts.
12CAMPAIGN ARCHITECTUREStructure multiple campaigns or ad groups
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Structure multiple campaigns or ad groups
Design a ChatGPT Ads campaign and ad-group structure for [PRODUCT WITH MULTIPLE AUDIENCES OR USE CASES]. Use prompt and advertiser evidence to separate genuinely different buyer conversations rather than combining them. For each recommended campaign or ad group, provide its audience, buying moment, intent, context-hint direction, creative angle, exclusions, and supporting ContextHint Pro Library links. Explain which ideas should not be split because the evidence is too thin.
Use this whenThe product serves multiple audiences, use cases, or buying stages and needs a clean campaign architecture.
What you should receiveAn evidence-backed portfolio of distinct ad groups with boundaries, creative directions, and prioritization.
Evidence ruleObserved claims should include inspectable ContextHint Pro Library links. Inferences and recommendations must be labelled rather than presented as advertiser facts.