What are the best datasets for SEO and search analysis?

For SEO and search analysis, the best datasets fall into a few categories: keyword databases, SERP/ranking data, backlink graphs, and search trend/behavior data. Most high‑quality datasets come from commercial SEO platforms, but there are also useful free/public sources.

Commercial SEO datasets (most comprehensive)

These are the go‑to sources if you need large, fresh, and structured data for serious analysis:

1. Semrush

• What it offers:
  • Massive keyword database (tens of billions of keywords across many countries).
  • Domain‑level organic/paid keyword data, traffic estimates, SERP features, and backlink data.
  • AI search visibility datasets (prompts, AI Overviews citations).
• Best for: Competitive research, keyword strategy, market sizing, AI search visibility.
• Access: Via platform UI, exports, and API; also via their “Semrush One” bundles.

2. Ahrefs

• What it offers:
  • Large keyword database and Keywords Explorer metrics (volume, difficulty, CPC, clicks).
  • Extensive backlink index (referring domains, anchor texts, link growth over time).
  • Site Explorer data: organic keywords, top pages, traffic estimates.
• Best for: Backlink analysis, content gap research, keyword difficulty and opportunity scoring.
• Access: Platform + API; some data available via bulk exports for enterprise.

3. Serpstat

• What it offers:
  • Keyword databases for many countries (billions of keywords).
  • SERP database: top‑100 Google results for billions of queries, including ads and SERP features.
  • Rank tracking and competitor SERP data.
• Best for: Large‑scale keyword/SERP analysis, rank tracking at scale, building custom SEO tools.
• Access: Bulk datasets, custom exports, and API.

4. Moz (Mozscape)

• What it offers:
  • Keyword data (volume, difficulty, opportunity).
  • Link index (Domain Authority, Page Authority, linking domains).
  • Rank tracking and site crawl data.
• Best for: DA/PA‑based link analysis, mid‑size keyword research, educational use.
• Access: Platform + API; limited bulk options compared to Semrush/Ahrefs/Serpstat.

Search trend and behavior datasets

These help you understand how search behavior changes over time and across regions:

5. Google Trends (and related exports)

• What it offers: Relative interest over time for queries/topics, by region and category.
• Best for: Seasonality analysis, topic interest, comparing brands/topics.
• Access: Web UI, some programmatic access via unofficial APIs or data scrapers; not a full raw dataset.

6. Platform‑specific trend data

• Examples: YouTube, TikTok, Amazon, Bing search trend insights (often via their own tools or third‑party aggregators).
• Best for: Vertical‑specific search behavior (e.g., product search on Amazon, video search on YouTube).

Free and public SEO datasets

Useful for research, learning, and lightweight analysis:

7. InstaRank free SEO datasets

• What it offers: Ready‑to‑use datasets for programmatic SEO (e.g., top US cities with population, coordinates, timezone, and SEO fields).
• Best for: Building location pages, service directories, testing programmatic SEO ideas.

8. Google Dataset Search & open data portals

• What it offers: Curated search over public datasets (government, academic, NGOs) that may include search behavior, web crawl data, or domain statistics.
• Best for: Academic research, exploratory analysis, combining SEO data with socioeconomic data.

9. AI search readiness datasets

• Example: AI Search Rankings datasets analyzing how industries/business types appear in AI Overviews, ChatGPT recommendations, etc.
• Best for: Emerging “answer engine optimization” (AEO) research, understanding AI‑driven search visibility.

How to choose

• Need the most complete keyword + SERP + backlink data: Semrush, Ahrefs, or Serpstat.
• Focus on backlinks and link growth: Ahrefs or Moz.
• Need massive SERP snapshots for many regions/queries: Serpstat SERP database.
• Mostly interested in trends and seasonality: Google Trends + platform trend tools.
• On a tight budget / doing research: Start with free datasets (InstaRank, Google Dataset Search) and supplement with limited API usage from a paid provider.

If you tell me your use case (e.g., “competitor keyword gap analysis,” “programmatic SEO for location pages,” “research on AI Overviews”), I can suggest a more specific dataset or combination of sources.