Automating SEO Content Research with Exa AI and DataForSEO APIs

Writing SEO content manually is slow. I built a research pipeline using Exa AI (neural search) and DataForSEO (SERP data) to automate competitor analysis and content gap discovery for about-kazakhstan.com . The Pipeline DataForSEO SERP Analysis -- get top 10 results + People Also Ask Exa AI highlights -- extract key points from competitor articles (10x fewer tokens than full text) Gap analysis -- find H2 sections competitors cover that we dont Brief generation -- auto-create content briefs with target word count, required H2s, FAQ questions Code Example // serp-analyzer.mjs const serpData = await dataforseo . serp ({ keyword : " kazakhstan budget travel " , location_code : 2840 , // US language_code : " en " }); // Extract PAA questions const paa = serpData . people_also_ask . map ( q => q . title ); // Exa highlights for top 3 competitors const highlights = await exa . search ( keyword , { numResults : 3 , highlights : true }); Results Research time: 2 hours manual ? 5 minutes automat