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AI visibility report

Diffbot ranks #11 in Web Data Infrastructure for AI AI search.

Outside the top three on 23 of the 25 prompts buyers actually ask.

Firecrawl is cited on 18 of those losses.

25 prompts
6 platforms
Updated Jul 3, 2026 - refreshed weekly
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1percent
Presence Rate
Low presence

#11 among 12 vendors · still absent from 98.7% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

+0.25
Sentiment
-1.00.0+1.0
Positive
#11of 12

Peer Ranking

#1#12
Below averagein Web Data Infrastructure for AI

Key Metrics

Presence Rate1.3%
Share of Voice1.4%
Avg Position#28.4
Docs Presence0.0%
Blog Presence0.7%
Brand Mentions1.3%

Platform Breakdown

ChatGPT
4%1/25 prompts
Grok
4%1/25 prompts
Perplexity
0%0/25 prompts
Gemini Search
0%0/25 prompts
Google AI Mode
0%0/25 prompts
Bing Copilot
0%0/25 prompts

How to read this. Diffbot appears in 1.3% of tracked prompt responses and ranks #11 among 12 vendors. Presence is absolute coverage; share of voice is relative citation share; sentiment measures tone only when the brand appears.

Where Diffbot is losing

Prompts where competitors are visible and Diffbot is not.

These prompt-level losses are the first prompts to track and repair.

Where Diffbot is winning1

  • What web data extraction services do ML engineering teams prefer when they need reliable structured output without writing custom parsers?

    Avg # 2.0 · 1 platform

Where Diffbot is losing5

  • 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

    Track this prompt
  • What web crawling platforms handle anti-bot detection well enough to reliably extract product data from major e-commerce sites at scale?

    Competitors on 5 platforms

    Track this prompt
  • Which web scraping APIs can reliably handle JavaScript-heavy single-page applications and return clean structured data for AI training?

    Competitors on 4 platforms

    Track this prompt
  • Looking for a web extraction platform that converts full websites into structured markdown for a retrieval-augmented generation system — what are my options?

    Competitors on 4 platforms

    Track this prompt
  • Which web scraping API providers have the best uptime and success rate guarantees for production AI data pipelines?

    Competitors on 4 platforms

    Track this prompt

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Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

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

Data engineers and developers building structured data pipelinesEnterprise AI and ML teams requiring web-scale training datasetsFinancial services and market intelligence analystsB2B sales and marketing teams needing account and contact enrichmentNews, media, and content monitoring organizationsAcademic and applied researchers studying large-scale web knowledge

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

Zippia

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.

Avast

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

Visibility+0.8 pts
Avg positionNo trend yet
SentimentNo trend yet

How AI describes Diffbot3

Diffbot & Bright Data AI ---------------------------- Best for: Enterprise knowledge graphs and completely automated turn-key datasets.

What web data extraction services do ML engineering teams prefer when they need reliable structured output without writing custom parsers?

google-aiDirect Diffbot mention
Diffbot: An enterprise pioneer that uses computer vision and Natural Language Processing (NLP) to identify articles, products, discussions, and organizations.

What web extraction services do teams use when they need consistent structured output quality across dynamic and static pages at production scale?

google-aiDirect Diffbot mention
...What it offers: a single routed interface that can fetch pages, scrape content, extract fields, and crawl sites across multiple underlying providers (e.g., Firecrawl, Diffbot, etc.). This can simplify switching providers without changing agent tooling.

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?

perplexityDirect Diffbot mention

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.
View category comparison hub

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 coverageCoverage by buyer topic

Topic Coverage

Capability0/5DevEx1/5Integrations &Ecosystem0/5Performance &Reliability1/5Setup & First Run0/5

Prompt-Level Results

Brand citedCompetitor citedNot cited
PromptPerplexityGemini SearchGoogle AI ModeChatGPTBing CopilotGrok
Capability0/5 cited (0%)

Which web scraping APIs can reliably handle JavaScript-heavy single-page applications and return clean structured data for AI training?

Which proxy network services support session-based scraping with geotargeting at the city level for market intelligence use cases?

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?

What web crawling platforms handle anti-bot detection well enough to reliably extract product data from major e-commerce sites at scale?

Developer Experience1/5 cited (20%)

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?

Which platforms for converting web content to LLM-ready formats have the clearest docs and the best debugging tools?

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?

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 & Reliability1/5 cited (20%)

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 enterprise proxy network providers can handle millions of requests per day without significant rate-limit failures or IP bans?

What web extraction services do teams use when they need consistent structured output quality across dynamic and static pages at production scale?

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?

Setup & First Run0/5 cited (0%)

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's the easiest web scraping API to get running in under an hour for a solo dev building an LLM data pipeline?

What are the best web crawling APIs for a small team that wants clean markdown output for LLM ingestion with minimal configuration?

Which proxy network providers make it easiest to get rotating residential IPs set up without a lengthy sales process?

I'm building a RAG pipeline and need to pull content from hundreds of URLs — which web extraction services have the fastest onboarding?

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Vertical Ranking

#BrandPres.SoVDocsBlogMent.PosSentiment
1Firecrawl43.3%30.7%6.0%33.3%42.7%#22.1+0.48
2Bright Data35.3%18.8%5.3%30.0%32.0%#24.3+0.44
3Apify24.7%14.7%6.0%12.7%23.3%#38.1+0.40
4Scrapfly17.3%4.7%0.7%14.7%16.0%#15.7+0.45
5Oxylabs16.7%6.5%2.0%13.3%16.0%#31.1+0.37
6ScrapingBee16.7%8.0%2.0%12.7%15.3%#37.8+0.41
7Zyte14.7%7.7%3.3%10.7%14.0%#39.6+0.48
8Crawl4AI7.3%2.4%5.3%0.0%7.3%#21.6+0.67
9Jina AI6.0%3.4%0.7%0.7%6.0%#49.8+0.27
10Octoparse5.3%1.6%0.0%5.3%4.0%#17.2+0.27
11Diffbot1.3%1.4%0.0%0.7%1.3%#28.4+0.25
12Crawlee0.0%0.0%0.0%0.0%0.0%

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