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Developer API suite (Reader, Embeddings, Reranker) that turns web content into LLM-ready data for search and RAG.
Demand and competitor intelligence that mines Reddit, reviews, and the web for buyer intent and switching signals.
Unified API that gives AI agents web scraping, search, document extraction, and social/enrichment data through one billed endpoint.
AI SEO content workspace that reads your sitemap, finds keyword gaps, writes articles, and publishes to your CMS.
Site presents as a digital-marketing/SEO agency resource blog (branded Elit-Web); does not clearly show the stored AI-automation product.
No public pricing
No public pricing
- ✦Reader API converts URLs to Markdown
- ✦Multimodal multilingual embedding models
- ✦Reranker for stronger search relevance
- ✦Web search endpoint returning SERP data
- ✦MCP server for use inside LLMs
- ✦Native inference inside Elasticsearch
- ✦Graded weekly competitor intelligence briefs
- ✦Live buyer-intent and complaint feed
- ✦Reddit lead and subreddit discovery
- ✦AI content writer from trending discussions
- ✦MCP integration and Chrome extension
- ✦Unified API for search, scrape, and extraction
- ✦Smart routing across multiple data providers
- ✦Document and PDF structured extraction
- ✦Social and media data (YouTube, TikTok, LinkedIn, reviews)
- ✦People and company enrichment
- ✦MCP and CLI surfaces for AI tools
- ✦Sitemap crawl and content-gap discovery
- ✦AI article writing with SEO structure
- ✦Bulk article generation
- ✦One-click publishing to WordPress/Shopify/Webflow
- ✦Live rank tracking via Search Console
- ✦Multi-client agency workspaces
- ✦SEO and backlink guidance
- ✦Social-media marketing articles
- ✦Digital advertising resources
- ✦Marketing strategy content
- →Ground LLMs with clean web content
- →Build semantic and RAG search
- →Rerank retrieved results
- →Give AI agents live web access
- →Tracking competitor changes and complaints
- →Finding high-intent buyers on Reddit
- →Turning discussions into ready-to-post content
- →Feeding AI agents reliable external web data
- →Replacing several scraping and search subscriptions
- →Extracting structured data from PDFs and documents
- →Enriching leads with company and email data
- →Scaling SEO blog content
- →Finding keyword opportunities
- →Agency client content production
- →Automating internal linking
- →Reading SEO and marketing how-tos
- →Learning social-media strategy
- →Researching digital advertising