Comprehensive SEO and digital marketing databases and API solutions

Ukraine
Joined July 2017
One domain had 2.7Γ— more backlinks and still ranked lower. We compared 5 domain pairs. Backlink volume alone didn't explain who ranked higher. So what did? πŸ‘‡
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β†’ Top 3: in 4 of 5 pairs, the traffic leader had 2–6Γ— the share of Top 3 keywords β†’ Branded search: ~77% vs ~58% of traffic in one pair A ranking gap tells you who's ahead, not why. What do you check first when a competitor pulls ahead?
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$1.20. That's the API cost for 1,000 AI-answer tasks a month on ChatGPT + Gemini (Standard mode). It's our API, so we priced DIY too, 500 queries/month per platform: β†’ browser hosting, server, ChatGPT plan: $44–49/mo β†’ building the pipeline: ? β†’ maintaining it: ? πŸ‘‡
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We left the last two blank. They depend on your team, setup, and how often interfaces, sessions, or answer formats change. ($44–49 is at list prices.) Also check each platform's rules on automated access. πŸ’¬ How do you collect AI answers today: API, in-house, or both?
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Track which sites Google's AI Overview cites for your keywords, on autopilot. Free @n8n_io workflow: β†’ runs on a schedule (weekly by default) β†’ pulls the AI Overview via DataForSEO SERP API β†’ extracts each cited source: title, URL, domain β†’ saves it to Google Sheets πŸ‘‡
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A competitor outranks you. Don't jump to backlinks. Check in this order: 1.Technical: can Google index your page? 2.Intent: does their page match the search? 3.SERP: what sits above organic? 4.Keywords: what do they rank for that you don't? 5.Links: only now More below ↓
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Links go last because they're the most expensive to fix. Check the cheap things first. For step 5, our free template finds sites that link to your competitors but not to you: l.dataforseo.com/4jNkFqz Which of the 5 goes wrong most often for you?
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What's your brand's AI visibility? We measured one brand across 146 AI answers: β†’ named in the answer: 58% β†’ site cited as a source: 36% β†’ share of all cited sources: 5.7% Same brand. Same answers. Three different numbersπŸ‘‡
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And the rules matter. Count only the main site, without subdomains like help. or community., and 36% drops to 14%. One brand was named in 10 answers but cited in 33. Mentions, citations or share of sources: what does your AI visibility report track?
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Ranking in Google's Top 10 doesn't mean you're in the AI answer. We compared Google's Top 10 with the AI answer for 20 real searches: β†’ on average, ~1 in 3 Top 10 domains showed up β†’ Perplexity: ~1 in 2 β†’ ChatGPT: ~1 in 6
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The ChatGPT caveat: it searched the web in only 11 of 20 cases. The other 9, it answered mostly from memory. 20 searches, one snapshot. But rankings alone don't show AI visibility. Are you tracking AI visibility separately yet?
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Our website developer built a 19-module SEO app in his spare time. β†’ Python scripts β†’ Chrome extension, 47 checks β†’ macOS app: 19 modules, 109 on-page checks 12 modules run on DataForSEO APIs, 7 are fully local. Why? He wanted to pay only for the checks he runs πŸ‘‡
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Ask ChatGPT and Perplexity the same question. How many of their source sites overlap? Half? A third? Less? We tested 60 questions. Drop your guess, answer below πŸ‘‡
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~1 in 9. In 8 of 60 questions, zero shared sites. Stranger: ask ChatGPT the same question twice and ~1 in 4 sources match. The two models overlap less with each other than ChatGPT does with itself. 60 questions, 5 industries, via API. Do you track one model or several?
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New free course: GEO Analytics & Automation πŸŽ“ Track your brand in AI Overviews, AI Mode, ChatGPT and Gemini. Then make the report update itself. 7 modules Β· ~2h Β· no code Start here, templates for Make, n8n and MCP included: l.dataforseo.com/46X3vPO
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Stop hunting for the right endpoint. Tell Codex what you need. The DataForSEO plugin picks the endpoint, pulls live data and returns a structured answer ⚑ Same account. Pay-as-you-go. No API keys in chat. Install guide, no MCP config needed: l.dataforseo.com/4dbwXVJ
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Around Google's August spam update, #1 mostly held. #10 turned over. 352 keywords, before vs after: β†’ 97.7% had a Top 10 domain change β†’ 77.6% kept the same #1 β†’ #10 went to a domain new to the Top 10 in 50.6% So where did the new #1s come from? πŸ‘‡
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When #1 changed, 72.2% of new leaders came from #2–3. Only 9 of 352 SERPs got a new #1 from outside the Top 10. And 4 in 10 new Top 10 domains were already on page two. US/EN/Desktop, same keywords before vs after the Aug 18–21 rollout. What do you check first post-update?
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