Intercom

Why ChatGPT Doesn't Know Your Startup

A developer tested 48 AI-native startups to measure how language models recognize brands by name versus by category. A model without web access correctly described only 4 of 48 startups by name, while a search-grounded model surfaced 28 of them when asked for the best tools in their category. The post identifies three main causes for name invisibility—training cutoff, generic names, and sites that render only in browser JavaScript—and recommends Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO): serve a plain category statement in the page HTML, add third-party mentions, and fix crawler readability. The author also describes Tabkeel, a checker that runs an AI mirror to test how a site is read and whether it surfaces in category queries.

Practical AI Integration Guide for UK SMEs (2026)

This practical guide explains how UK small and medium-sized enterprises (SMEs) can integrate AI into existing products and processes rather than building new AI products. Citing 2025–2026 industry surveys, the author notes fewer than one in five UK SMEs have integrated AI despite high interest. The guide recommends three high-return integration points — customer service triage, internal document processing, and developer productivity — and outlines build vs buy decision rules, estimated API costs and developer time (3–10 days for a first integration), UK GDPR data-processing and cross-border transfer requirements (including the UK IDTA), and common pitfalls. The recommended approach is to pick one use case, build a quick proof of concept, measure a clear metric, and expand from there.

Announcing Evals and Releases: Evaluate Fin before, during, and after you go live

Providing a complete evaluation system for Fin, you can now test changes before they go live, roll them out with control, evaluate every live conversation, and have confidence in the experience Fin delivers.