@dataforseo

Comprehensive SEO and digital marketing databases and API solutions

 Ukraine
dataforseo.com
Joined July 2017
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  • Following413
  • Followers2.1K
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We put together a digest of 8 search developments from recent weeks. 3 shifts: → Web data: new ways for AI tools to search the web → Search experience: Google AI Mode adds a new model and topic tracking → Commerce: shopping inside AI tools One has a deadline 👇
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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. 5× 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 👇
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→ The 10K is shared across APIs, not per API → 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

Default API Rate Limit Increased to 10,000 Requests per Minute – DataForSEO

Good news for teams working with DataForSEO APIs! We’ve increased the default API rate limit by 5x, making it easier to handle larger workloads, process more

dataforseo.com
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Your SEO report can look fine and be wrong. 5 checks for silent failures: → Request: same search settings? → Task: did it really succeed? → Results: is the data complete? → Parser: can it read the response? → Pipeline: did the data survive? Check 2 can cost you money 👇
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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. 💬 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 👇
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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 💬 Which benchmark do you still trust?
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Everyone says Reddit is the way into AI answers. We checked 40 SEO brands. → Reddit was cited in 17.1% of their Google AI Overview answers → Reddit footprint vs AI visibility: 0.66 correlation Looks convincing. Then we controlled for brand size 👇
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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. 💬 Is AI visibility why you invest in Reddit, or something else?
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One domain had 2.7× more backlinks and still ranked lower. We compared 5 domain pairs. Backlink volume alone didn't explain who ranked higher. So what did? 👇
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→ Top 3: in 4 of 5 pairs, the traffic leader had 2–6× the share of Top 3 keywords → 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: → browser hosting, server, ChatGPT plan: $44–49/mo → building the pipeline: ? → maintaining it: ? 👇
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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. 💬 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: → runs on a schedule (weekly by default) → pulls the AI Overview via DataForSEO SERP API → extracts each cited source: title, URL, domain → saves it to Google Sheets 👇
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Prefer a BI dashboard? Swap Google Sheets for it. You'll need an n8n instance and a DataForSEO account. Template: l.dataforseo.com/4hVBf4W Which keywords would you track first?

Pull citation sources from Google AI overview to Google Sheets with DataForSEO | n8n workflow...

Pull references from Google's AI Overview with Who’s it for SEOs and digital marketers who want to track the sources Google cites in its AI Overview SERP...

n8n.io
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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?

Competitor Backlink Analysis

This template helps automate your AI Skills and Competitor Backlink Analysis via Backlinks API

dataforseo.com
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What's your brand's AI visibility? We measured one brand across 146 AI answers: → named in the answer: 58% → site cited as a source: 36% → share of all cited sources: 5.7% Same brand. Same answers. Three different numbers👇
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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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