Seth's Blog AI vs Iris.ai

Seth's Blog AI lets you query Seth Godin's blog archive through a chat window trained on his published writing. You type a question about marketing, tribes, or leadership and get an answer drawn from decades of posts on seths.blog. The bot page also links from the main blog search box as an alternative to keyword search.

Most general chatbots answer from the whole web. Seth's Blog AI is scoped to one author's body of work, so responses reflect Seth Godin's specific frameworks on permission marketing, remarkability, and trust rather than generic business advice. That narrow corpus is the trade-off: deep on Seth's ideas, useless for unrelated topics.

Marketers, entrepreneurs, and longtime blog readers use it to research concepts before a meeting, find the post behind a half-remembered idea, or test how Seth might frame a problem. Copy Response is built in, and thumbs-up or thumbs-down feedback helps refine answers after each query.

Iris.ai builds enterprise knowledge platforms that turn scattered PDFs, patents, reports, graphs, and tables into structured data for RAG pipelines and AI agents. Its Axion product extracts multilingual documents across 68 languages, while Neuralith and RSpace target agentic workflows and complex R&D intelligence.

General-purpose RAG tools often choke on regulated industries where contracts, clinical trials, and patent libraries need schema-aware extraction and audit trails. Iris.ai ships ISO 27001-certified processing with GDPR compliance, on-premise deployment, and a built-in LLM evaluation layer so teams in pharma, telecom, and manufacturing can trust what their agents retrieve.

Research teams, legal ops, and innovation groups at enterprises like ArcelorMittal use Axion to cut patent review time by up to 90% with 94% extraction precision. Pricing runs from a Starter one-time pack for 10 documents through Professional tiers with about 100k pages to Enterprise deals from roughly €0.05 per page.