Find Content Opportunities
Workflow contract for finding market-backed content opportunities across AI search, SEO keywords, trends, Reddit, YouTube, and citations.
Overview
Workflow endpoints run their primitives in parallel and return each primitive's full output, labeled per source. Pricing is calculated from the primitives that ran successfully plus the selected model rates: failed or skipped steps are not charged.
Reference
POST
/v1/workflows/content-opportunities$0.74 · flat per call
Parameters
topicrequired | string | Market, niche, product category, or audience to research. |
audienceoptional | string | Optional target audience or ICP. |
brandoptional | string | Optional brand/domain to account for in the opportunity scan. |
competitorsoptional | string[] | Competitor brands/domains to compare against. |
countryoptional | string | ISO-2 country code for localized SEO keyword data. Default: "us". |
channelsoptional | array of enum (ai_search | seo_keywords | google_trends | reddit | youtube) | Optional data sources to include. Defaults to all relevant sources. |
modelsoptional | array of enum (chatgpt | claude | perplexity | gemini | google_ai_overview) | Optional model subset. Omit to query the default surfaces (chatgpt, perplexity, gemini). Pass ["perplexity"] or ["perplexity","claude"] when the user names specific surfaces or wants to reduce cost. The full set is chatgpt, claude, perplexity, gemini, google_ai_overview — to query all of them, set fullSweep instead of listing them. |
fullSweepoptional | boolean | Query all five AI surfaces instead of the three default ones, adding claude and google_ai_overview. Costs more per call. Use it when the user wants complete cross-model coverage, is comparing surfaces against each other, or asks specifically about Claude or Google AI Overviews. Ignored when models is given. |
Request
curl https://www.cite42.dev/api/v1/workflows/content-opportunities \
-X POST \
-H "Authorization: Bearer $CITE42_API_KEY" \
-H "Content-Type: application/json" \
-d '{"topic":"AI search optimization for SaaS","competitors":["Peec AI","Profound"]}'Response
{
"status": "workflow_result",
"workflow": "find_content_opportunities",
"summary": "Find content opportunities using demand and visibility signals.",
"input": {
"topic": "AI search optimization for SaaS",
"competitors": [
"Peec AI",
"Profound"
]
},
"results": [
{
"endpoint": "/v1/keywords",
"tool": "cite42_keywords",
"why": "Add SEO keyword demand and related ideas.",
"data": {
"keyword": "ai blog tool",
"volume": 4400,
"cpc": 3.12,
"competition": 0.41,
"competitionLevel": "MEDIUM",
"ideas": [
{
"keyword": "ai blog generator",
"volume": 8100,
"cpc": 2.84,
"competition": 0.38,
"competitionLevel": "MEDIUM"
}
]
},
"ok": true
}
],
"suggestedPrompt": "Prioritize opportunities with demand and weak existing AI answers."
}