dataforseo-content-generation-api
Generate and refine text with DataForSEO Content Generation for "meta tag generation", "paraphrasing", and "summarization".
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Generate and refine text with DataForSEO Content Generation for "meta tag generation", "paraphrasing", and "summarization".
Collect marketplace and product intelligence with DataForSEO Merchant for "price monitoring", "product research", and "seller analysis".
Fetch localized SERP results from DataForSEO (task or live) for "rank tracking", "get Google SERP", and "SERP monitoring".
AI citability scoring and optimization. Analyzes web page content to determine how likely AI systems (ChatGPT, Claude, Perplexity, Gemini) are to cite or quote passages from the page. Provides a citab…
Multi-platform social research: Twitter/X via Bird CLI and Reddit/TikTok via PostCrawl; aggregate results and generate sentiment/trend reports.
Create engaging Substack Notes that build community and grow subscribers. Use this skill when asked to write Substack Notes, short-form content for Substack, or help with Substack growth strategy. Tri…
Recognize when marketplace value saturates after reaching liquidity threshold, requiring non-network moats when doubling supply no longer improves user experience
Recognize and counteract the tendency to adopt beliefs or behaviors simply because others are doing so, independent of underlying evidence
Retrieve keyword metrics and trends using DataForSEO Keywords Data for "keyword research", "search volume", and "ad planning".
Enrich and analyze domains with DataForSEO Domain Analytics for "tech stack detection", "domain research", and "lead enrichment".
Collect app store intelligence using DataForSEO App Data for "ASO", "app reviews", and "app market research".
Schema.org structured data audit and generation optimized for AI discoverability — detect, validate, and generate JSON-LD markup
Navigate strategic uncertainty through multiple plausible future scenarios rather than single-point forecasting. Developed at Royal Dutch Shell, this framework replaces single-point predictions with 2…
Generate four distinct future scenarios by crossing two high-impact, high-uncertainty variables on perpendicular axes
Correct probability and frequency judgments distorted by mentally available examples by seeking base rate data before relying on vivid anecdotes
Prioritize resource allocation across business units by classifying them based on market growth rate and relative market share
Run SEO research workflows with DataForSEO Labs for "competitive research", "keyword ideas", and "market analysis".
Crawl and audit websites using DataForSEO OnPage (tasks + Lighthouse) for "technical SEO audit", "site crawl", and "page health".
Content quality and E-E-A-T assessment for AI citability — evaluate experience, expertise, authoritativeness, trustworthiness, and content structure
Technical SEO audit with GEO-specific checks — crawlability, indexability, security, performance, SSR, and AI crawler access
Reddit community growth via authentic human-style engagement. Use when finding high-intent posts, checking subreddit rules, writing value-first replies, and reporting run summaries. Works for any app,…
Simple, visual scenario planning framework mapping two critical uncertainties on perpendicular axes to generate four distinct plausible futures
When you need to plan backward from an ambitious future goal to identify required steps
Recognize that value of beliefs and ideas increases with adoption, creating momentum for ideas regardless of intrinsic truth