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Comprehensive SEO and digital marketing databases and API solutions

Ukraine
Joined July 2017
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3 of our last 10 updates came straight from our users. Someone asked "can you?", we said "sure": โ†’ Keywords for Site takes a page URL now โ†’ Google Shopping's "& more" is in the Merchant API โ†’ Google's new store groups are in popular_products and hotel_pack The other 7 ๐Ÿ‘‡
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Also shipped: a 5ร— higher rate limit (2K โ†’ 10K requests/min), a Codex plugin, a new checks array in organic results and more. Full changelog: dataforseo.com/updates What should be in the next digest?
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We analyzed 190M keywords, 137.9M Google AI answers and 27.5M ChatGPT answers. Google AI Overviews: 5.93% โ†’ 61.43% of US results. 10ร— in 23 months. โ†’ Featured snippets lost 95% of their presence โ†’ The top site in AI Overviews isn't near the top in ChatGPT Full report ๐Ÿ‘‡
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Search Insider 2026 is free and open to everyone: l.dataforseo.com/4sEzD4I Inside: features, industries, keywords, clicks, citations and communities. All US, English (backlink data - global) Every table comes with its sample size. Which finding surprised you most?๐Ÿ‘‡
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Heads up if etv feeds your dashboards. Since Nov 1, ETV in our Google Labs endpoints takes AI Overviews into account, along with featured snippets, paid results, local packs and search intent. Same field name. Different numbers. 3 things to know ๐Ÿ‘‡
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โ†’ estimated_paid_traffic_cost changes too โ†’ Endpoints with historical metrics aren't included โ†’ Registered on or after Sep 1? You've been on the new calculation already Tip: add "ETV calculation changed on Nov 1, 2026" to your reports. Details: l.dataforseo.com/4ssje37
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We let an AI spend our money. It asked first: "Proceed and charge ~$0.29 to your DataForSEO account?" We said yes. Our Portfolio SEO Audit skill for Claude ran on 4 sites and 12 keywords to answer the Monday question: what do I fix first? What it gave us ๐Ÿ‘‡
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โ†’ One color-coded dashboard per portfolio โ†’ 10 fixes to do first, ranked across all clients โ†’ A CSV per client, ready for tickets Our run: $0.292. Cost scales with sites and keywords. Demo sites are public stores, no affiliation. Get the skill: l.dataforseo.com/4A2lSzn
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We put together a digest of 8 search developments from recent weeks. 3 shifts: โ†’ Web data: new ways for AI tools to search the web โ†’ Search experience: Google AI Mode adds a new model and topic tracking โ†’ Commerce: shopping inside AI tools One has a deadline ๐Ÿ‘‡
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From 31 Oct, 16:00 UTC, DeepSeek Search and Fetch calls via DeepSeek Harness, Claude Code and Codex become paid. If your AI agents use them, now is a good time to check where they get their search results. Which of these changes are you watching?
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Our default API rate limit just went from 2,000 to 10,000 requests per minute. 5ร— more headroom for rank trackers, SERP collection at scale and parallel jobs. Nothing to change: it applies automatically. Custom limits stay as they are. 2 things to know before you scale up ๐Ÿ‘‡
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โ†’ The 10K is shared across APIs, not per API โ†’ Labs, Backlinks, OnPage, Content Analysis, AI Optimization (not LLM Scraper) and Trends: 30 simultaneous requests each Tip: one Standard task_post can carry up to 100 tasks and count as 1 request. Details: l.dataforseo.com/4BnGRy0
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Your SEO report can look fine and be wrong. 5 checks for silent failures: โ†’ Request: same search settings? โ†’ Task: did it really succeed? โ†’ Results: is the data complete? โ†’ Parser: can it read the response? โ†’ Pipeline: did the data survive? Check 2 can cost you money ๐Ÿ‘‡
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HTTP 200. API status OK. Task error 40101: no SERP data, still billed. Each check comes with a no-code way to spot it. Save it for your next data check. ๐Ÿ’ฌ Which silent failure have you hit?
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Almost every SEO deck has the same slide: CTR by position, #1 gets ~30%. But two sites in the same spot can get very different CTRs. Sometimes #1 sits below ads, a shopping block and an AI answer. 3 questions to ask before you trust that curve ๐Ÿ‘‡
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1. Were branded queries included? 2. Which SERP features were on those pages? 3. Which sites were sampled, and how? Rather see your own numbers than an average? SEOInsider is free and runs on DataForSEO APIs: l.dataforseo.com/4s49Brn ๐Ÿ’ฌ Which benchmark do you still trust?
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Everyone says Reddit is the way into AI answers. We checked 40 SEO brands. โ†’ Reddit was cited in 17.1% of their Google AI Overview answers โ†’ Reddit footprint vs AI visibility: 0.66 correlation Looks convincing. Then we controlled for brand size ๐Ÿ‘‡
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The correlation dropped to 0.04. That doesn't mean Reddit doesn't work: 40 SEO brands, AI Overviews, US/EN, correlation only. But it's worth 3 checks before you budget for Reddit. ๐Ÿ’ฌ Is AI visibility why you invest in Reddit, or something else?
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One domain had 2.7ร— more backlinks and still ranked lower. We compared 5 domain pairs. Backlink volume alone didn't explain who ranked higher. So what did? ๐Ÿ‘‡
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โ†’ Top 3: in 4 of 5 pairs, the traffic leader had 2โ€“6ร— the share of Top 3 keywords โ†’ 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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