AI visibility report for Diffbot
Vertical: Web Data Infrastructure for AI
AI search visibility benchmark across 5 platforms in Web Data Infrastructure for AI.
Presence Rate
Top-3 citations across 125 prompt × platform pairs
Sentiment
Peer Ranking
Key Metrics
Platform Breakdown
ChatGPT
Gemini Search
Perplexity
Grok
Google AI ModeOverview
Diffbot is a Menlo Park, California-based AI company that transforms the public web into machine-readable, structured data. Founded around 2010 and backed by investors including Felicis Ventures, Tencent, and Bloomberg Beta, Diffbot operates one of the world's only independent commercial web crawls. Its flagship product, the Knowledge Graph, aggregates over 10 billion entities and 1 trillion facts from billions of web pages, queryable via Diffbot Query Language. Additional products include Extract (AI-powered page extraction), Crawl (automated site crawling), a Natural Language Processing API, and LeadGraph for B2B lead intelligence. Diffbot serves over 400 companies including Andreessen Horowitz, FactSet, FINRA, Indeed, and Snapchat, targeting data engineers, AI researchers, and enterprise intelligence teams. The platform integrates natively into LangChain and Neo4j ecosystems for GraphRAG use cases.
Diffbot is an AI-powered web data extraction and knowledge graph platform that uses machine learning and computer vision to autonomously read, classify, and structure content from billions of public web pages. Its core offering is the Diffbot Knowledge Graph — a continuously updated, queryable database of 10B+ entities (organizations, people, articles, products, events) and 1T+ facts — complemented by Extract, Crawl, Natural Language, Enhance, and LeadGraph APIs for on-demand and pipeline-based web data workflows.
Key Facts
- Founded
- 2010
- HQ
- Menlo Park, CA, USA
- Founders
- Mike Tung
- Employees
- 30-35
- Funding
- ~$12.5M
- ARR
- ~$3.1M
- Customers
- 400+
- Status
- Private
Target users
Key Capabilities10
- AI/computer-vision-powered web page classification and structured data extraction without manual rules
- Knowledge Graph with 10B+ entities and 1T+ facts, queryable via Diffbot Query Language (DQL)
- Autonomous web crawl of 1.2B+ public websites, independent of Google and Bing
- Natural Language Processing API for entity extraction, relationship detection, and sentiment analysis
- Real-time data enrichment (Enhance) for organizations and people using Knowledge Graph records
- Automated site crawler (Crawlbot) that outputs structured JSON from any website
- B2B lead intelligence via LeadGraph (people and organization data)
- LangChain and Neo4j integration for GraphRAG and knowledge graph construction
- MCP server for integration into AI agent and LLM pipelines
- Multi-language web extraction with English-normalized entity metadata
Key Use Cases8
- Market intelligence and competitive monitoring using structured web data
- News and media monitoring with entity-level topic and sentiment tagging
- AI/ML training data acquisition from public web sources
- GraphRAG pipeline construction using Knowledge Graph entities and relationships
- B2B lead generation, prospecting, and account enrichment
- E-commerce product data aggregation and price monitoring
- Supply chain and third-party risk monitoring via organization data
- Academic and enterprise research requiring structured web-scale datasets
Diffbot customer outcomes
50% improvement in company data accuracy
Zippia integrated Diffbot's Knowledge Graph to improve the accuracy of company data powering its career intelligence platform. Head of Data Science Javier Andrés verified a measurable reduction in wrong company information shown to users.
Production pipeline shipped within 4 weeks; 93.4% precision and 100% recall on privacy policy classification
Avast used Diffbot's automated page classification, extraction, and Knowledge Graph enrichment to build a production-grade Privacy Policy analysis API for its consumer cybersecurity trust scoring models.
Recent Trend
How AI describes Diffbot3
Diffbot : Uses computer vision + NLP/ML for automatic entity extraction (products, articles, etc.) into structured formats and a knowledge graph.
What web data extraction services do ML engineering teams prefer when they need reliable structured output without writing custom parsers?
Use-apify Other notable mentions : Browserless (managed browsers + BQL for complex sites), Diffbot (automatic structured/entity extraction), and ScraperAPI (simpler proxy/rendering layer).
What web extraction services do teams use when they need consistent structured output quality across dynamic and static pages at production scale?
Diffbot : Uses computer vision and ML to automatically identify page types (articles, products) and extract them into structured databases without any user-defined rules.
What are the best web crawling APIs for a small team that wants clean markdown output for LLM ingestion with minimal configuration?
Most cited sources
No cited source mix is available for this brand yet.
Alternatives in Web Data Infrastructure for AI6
Diffbot occupies a distinct tier in web data infrastructure by combining autonomous, rules-free AI extraction with a proprietary, continuously updated Knowledge Graph — one of the world's only independent commercial web crawls alongside Google and Bing.
- Unlike scraping-API-first competitors such as Bright Data or Zyte, Diffbot's primary value proposition is structured knowledge-as-a-service: a queryable database of 10B+ entities and 1T+ facts accessible via its Diffbot Query Language (DQL).
- This positions it more as an AI data layer for enterprise intelligence, RAG pipelines, and LLM training than as a general-purpose proxy or scraping infrastructure.
- Its deepest competition comes from AI-native extraction tools like Jina AI and Firecrawl, which increasingly target the same LLM/GraphRAG developer audiences.
Reviews
Praised
- Powerful and comprehensive Knowledge Graph with broad entity coverage
- Reliable crawlers that remain stable through website design changes
- Responsive and helpful customer support team
- DQL query language flexibility and GUI testing interface
- Global, multi-language web data with English-normalized metadata
- Ease of integration for developers via REST API and JSON output
- Strong data accuracy and coverage for organizations and people
Criticized
- Steep learning curve for Diffbot Query Language (DQL)
- API-first platform requires developer skills; non-technical users struggle
- Raw output can be messy and requires cleaning before downstream use
- Occasional API instability reported by some users
- Limited no-code or visual interface for non-developer workflows
- Advanced features hard to leverage without internal engineering resources
Diffbot is rated 4.9 out of 5 on G2 from 29 verified reviews. Users consistently highlight the power and reliability of the Knowledge Graph, the stability of its crawlers compared to brittle rules-based scrapers, and the responsiveness of its customer support team. Reviewers in financial services, recruiting, and market intelligence cite strong data accuracy and global coverage. The most frequently cited criticism is the steep learning curve associated with the Diffbot Query Language and the requirement for developer resources to unlock advanced features; non-technical users report difficulty working independently with the platform.
Pricing
Diffbot offers four tiers billed monthly with no contracts required.
- Free
$0/month, 10,000 credits, full API access, 5 calls/minute. Startup: $299/month, 250,000 credits at $0.001/credit, 5 calls/second.
- Plus
$899/month, 1,000,000 credits at $0.0009/credit, 25 active crawls, 3 user licenses, 25 calls/second.
- Enterprise
custom pricing with 100+ active crawls, custom credit allotment, custom SLA, and managed solutions. Credits are consumed per activity: 1 credit per page extracted, 25 credits per Knowledge Graph entity exported or enriched, 100 credits per facet query or enrichment with refresh. A free Startup-tier plan is available to students and academic researchers through the Diffbot for Students program.
Limitations
- Diffbot is an API-first, developer-centric platform with a notable learning curve, particularly around the Diffbot Query Language (DQL); non-technical users without coding ability struggle to access its advanced features.
- Raw API output can require significant cleaning before it is usable in downstream pipelines.
- The platform is less suited for highly custom or obscure scraping scenarios compared to fully programmable scraping frameworks.
- Occasional API instability has been noted by reviewers.
- The company is small (~33 employees) with a G2 profile that has been inactive for over a year, suggesting limited recent go-to-market investment.
Frequently asked questions
Topic Coverage
Prompt-Level Results
| Prompt | ChatGPT | Gemini Search | Perplexity | Grok | Google AI Mode |
|---|---|---|---|---|---|
Capability0/5 cited (0%) | |||||
I need to extract and chunk web content automatically for an LLM agent — which web data services offer built-in chunking or semantic splitting? | |||||
Looking for a web extraction platform that converts full websites into structured markdown for a retrieval-augmented generation system — what are my options? | |||||
Which proxy network services support session-based scraping with geotargeting at the city level for market intelligence use cases? | |||||
Which web scraping APIs can reliably handle JavaScript-heavy single-page applications and return clean structured data for AI training? | |||||
What web crawling platforms handle anti-bot detection well enough to reliably extract product data from major e-commerce sites at scale? | |||||
Developer Experience0/5 cited (0%) | |||||
What web data extraction services do ML engineering teams prefer when they need reliable structured output without writing custom parsers? | |||||
Which web scraping APIs have the best developer experience for a Python-first team building data pipelines for AI applications? | |||||
Which platforms for converting web content to LLM-ready formats have the clearest docs and the best debugging tools? | |||||
What do developers say about the day-to-day workflow for managing large-scale crawl jobs across different web extraction platforms? | |||||
I'm a tech lead evaluating proxy and scraping platforms — which ones have SDKs and client libraries that don't feel like an afterthought? | |||||
Integrations & Ecosystem0/5 cited (0%) | |||||
What web data extraction APIs have prebuilt connectors or plugins for common data warehouse and data lake destinations? | |||||
What web data infrastructure platforms work best alongside open-source LLM orchestration tools for building self-updating knowledge bases? | |||||
Which proxy or web scraping services offer webhook support and event-driven data delivery for real-time AI data ingestion workflows? | |||||
Which web scraping platforms integrate natively with vector databases and LLM orchestration frameworks for AI agent pipelines? | |||||
I'm building an AI agent that needs live web data — which web crawling APIs expose a simple REST or function-calling interface for agent use? | |||||
Performance & Reliability0/5 cited (0%) | |||||
I'm running a high-volume crawl pipeline for LLM fine-tuning data — which web data platforms scale to 10M+ pages per month reliably? | |||||
Which web scraping API providers have the best uptime and success rate guarantees for production AI data pipelines? | |||||
What are the fastest web content extraction APIs for real-time RAG use cases where latency under 2 seconds matters? | |||||
What web extraction services do teams use when they need consistent structured output quality across dynamic and static pages at production scale? | |||||
Which enterprise proxy network providers can handle millions of requests per day without significant rate-limit failures or IP bans? | |||||
Setup & First Run0/5 cited (0%) | |||||
What's the easiest web scraping API to get running in under an hour for a solo dev building an LLM data pipeline? | |||||
Which proxy network providers make it easiest to get rotating residential IPs set up without a lengthy sales process? | |||||
I'm evaluating web data extraction platforms for an AI startup — which ones let me go from signup to first successful structured data extraction the fastest? | |||||
What are the best web crawling APIs for a small team that wants clean markdown output for LLM ingestion with minimal configuration? | |||||
I'm building a RAG pipeline and need to pull content from hundreds of URLs — which web extraction services have the fastest onboarding? | |||||
Strengths
No clear strengths identified yet.
Gaps5
What's the easiest web scraping API to get running in under an hour for a solo dev building an LLM data pipeline?
Competitors on 5 platforms
I'm running a high-volume crawl pipeline for LLM fine-tuning data — which web data platforms scale to 10M+ pages per month reliably?
Competitors on 4 platforms
Which web scraping API providers have the best uptime and success rate guarantees for production AI data pipelines?
Competitors on 4 platforms
What are the best web crawling APIs for a small team that wants clean markdown output for LLM ingestion with minimal configuration?
Competitors on 4 platforms
I'm building a RAG pipeline and need to pull content from hundreds of URLs — which web extraction services have the fastest onboarding?
Competitors on 4 platforms
Vertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Firecrawl | 56.0% | 37.7% | 8.0% | 50.4% | 54.4% | #21.9 | +0.43 |
| 2 | Bright Data | 44.8% | 18.8% | 4.8% | 42.4% | 44.0% | #25.1 | +0.40 |
| 3 | Apify | 24.8% | 12.5% | 6.4% | 17.6% | 24.8% | #31.4 | +0.37 |
| 4 | ScrapingBee | 23.2% | 8.9% | 0.8% | 20.0% | 23.2% | #25.7 | +0.46 |
| 5 | Zyte | 19.2% | 6.8% | 2.4% | 11.2% | 19.2% | #45.7 | +0.50 |
| 6 | Scrapfly | 14.4% | 3.3% | 1.6% | 10.4% | 13.6% | #23.0 | +0.42 |
| 7 | Oxylabs | 13.6% | 5.7% | 3.2% | 8.8% | 13.6% | #34.8 | +0.45 |
| 8 | Crawl4AI | 9.6% | 2.5% | 3.2% | 0.0% | 9.6% | #26.9 | +0.50 |
| 9 | Octoparse | 7.2% | 1.2% | 0.0% | 6.4% | 6.4% | #20.9 | +0.25 |
| 10 | Jina AI | 4.8% | 2.6% | 1.6% | 0.8% | 4.8% | #51.4 | +0.54 |
| 11 | Crawlee (by Apify) | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 12 | Diffbot | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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