What are the best search engine results datasets?

The best search engine results datasets fall into a few categories: bulk SERP databases, real-time SERP APIs you can use to build your own dataset, and specialized AI-search visibility datasets.

---

1. Bulk SERP databases (historical + large scale)

Serpstat SERP Database

• Coverage: Top 100 Google results for billions of keywords across 230+ regions.
• Data per keyword:
  • Organic rankings (URL, title, snippet, position).
  • Ads (text, position, ad extensions where available).
  • SERP features (featured snippets, People Also Ask, local packs, images, videos, AI Overviews where tracked).
• Updates: Daily refreshes; multi-year history for many keywords.
• Best for:
  • Training models on SERP structure and ranking patterns.
  • Large-scale SEO research, rank-volatility studies, algorithm-impact analysis.

DataForSEO SERP datasets

• Coverage: Google, Bing, Yahoo, Baidu, Naver, YouTube, Amazon, etc.
• Data:
  • Live and historical SERPs with organic, paid, and SERP features.
  • Can export large volumes to build custom datasets.
• Best for:
  • Engineering teams that want flexible, multi-engine SERP data in bulk.

---

2. Real-time SERP APIs (build your own dataset)

These don’t sell a fixed “dataset” but let you systematically collect SERPs at scale.

SerpApi

• Engines: Google, Bing, Baidu, Yandex, DuckDuckGo, YouTube, Amazon, and more.
• Data:
  • Organic results, paid ads, People Also Ask, knowledge panels, local packs, images, videos, AI Overviews (where available).
  • Structured JSON with position, title, URL, snippet, sitelinks, etc.
• Best for:
  • Building custom SERP datasets for specific keyword sets, locations, devices.
  • AI agents, RAG systems, SEO tools.

DataForSEO, Serper, SearchAPI, Serpex, HasData, SOAX, Talordata

• Similar to SerpApi:
  • Real-time SERP results in clean JSON.
  • Some offer historical SERPs or allow you to store results over time to create your own time-series dataset.
• Best for:
  • Tailored datasets (by industry, region, device, language).
  • Ongoing monitoring of ranking changes and SERP feature evolution.

---

3. Historical SERP snapshots and time-series

If you care about how SERPs change over time:

Serpstat (again)

• Multi-year historical SERP data for many keywords.
• Daily snapshots of top results and SERP features.

DemandSphere (SERP Rewind / DemandMetrics)

• 90+ days of daily Google SERP snapshots per keyword/market.
• Programmatic access to snapshot data.
• Best for:
  • Analyzing ranking volatility, algorithm updates, AI Overview rollouts.

Custom time-series via SERP APIs

• Many teams run scheduled queries (daily/weekly) via SerpApi, DataForSEO, Serpex, etc., and store results in a database or data lake.
• This gives full control over:
  • Keywords, locations, devices, languages.
  • Frequency and retention period.

---

4. AI search and “GEO” visibility datasets

Newer datasets track not just classic SERPs but also AI-generated answers.

cloro, AIclicks, Profound, Position.digital

• Track presence in:
  • Google AI Overviews / SGE.
  • ChatGPT, Perplexity, Copilot, Claude, etc.
• Data:
  • Whether and how your brand/content appears in AI answers.
  • Sometimes combined with traditional SERP data.
• Best for:
  • Understanding visibility in generative search, not just blue links.

---

5. SEO platforms with SERP data exports

Some all-in-one SEO tools include SERP data as part of their datasets:

• Ahrefs, Semrush, Moz, Majestic
  • Provide keyword rankings, SERP features, top pages, and competitor data.
  • Some allow bulk exports or API access to SERP-related data.
• Best for:
  • Teams that want SERP data alongside keyword and backlink analysis.

---

How to choose

• If you need a ready-made, large-scale SERP database:
  → Serpstat, DataForSEO bulk exports.

• If you want to build a custom SERP dataset for specific keywords/regions:
  → Use SerpApi, DataForSEO, Serpex, SearchAPI, etc., and store results over time.

• If you care about AI search visibility (AIO, SGE, LLM answers):
  → Add cloro, AIclicks, Profound, or similar.

• If you want SERP data plus broader SEO metrics:
  → Combine an SEO platform (Ahrefs/Semrush) with a dedicated SERP API.

If you tell me your use case (e.g., “train an LLM on SERPs,” “track AI Overview visibility,” “build a rank tracker”), target engines, and regions, I can suggest a minimal set of providers and access patterns.