Observed Signal · Sep 3, 2026 · Market Signal · Source: RevenueBase · Impact: 3/5
How RevenueBase Company Lists Are Built and Judged
Every company list on revenuebase.ai/companies is read from the RevenueBase company graph through SmartSearch, our natural-language company search. Here is exactly how a list is built, what its numbers mean, and how a blind three-judge panel measured the matching at 86% on target.
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Connected Companies & Entities
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Recent verified developments and strategic activity across this market segment.
Small Firms Beat Corporates in AI Search Visibility
Swiss provider Geoquality.ai analysed 300 Swiss domains across 12 industries using its Seakt scoring system and concluded that visibility inside AI answer systems (e.g., ChatGPT, Perplexity) does not depend solely on company size or ad budget. Seakt scores sites 0–100 on structured data, entity clarity, authority, content quality and technical accessibility and found smaller firms sometimes score higher than well-known corporations. Examples include the fintech Aktionariat (90) versus Julius Bär (36) and EFG (33), and trustee Findea (80) versus KPMG (64), Deloitte (51) and EY (48). Geoquality.ai reports seven domains deliberately block AI crawlers (including luxury and premium brands) and about 43 large brands are effectively invisible to AI systems due to generic bot-protection (Cloudflare, Akamai). Seakt was published as a working paper in May 2026 by founder Marco Biner; full rankings are available on Geoquality.ai.
AI Revenue Reaches $229 Billion Annualized
The Monday roundup from Exponential View reports that the AI economy's annualized revenue reached $229 billion by end of August, reflecting a 3.5x growth in one year, with trailing twelve-month revenue at $140 billion. However, measuring actual AI revenue remains challenging due to private companies not reporting quarterly figures. Analysts like Craig Moffett express uncertainty about whether external revenues exceed costs, leading to market 'panic.' GPU rental prices are 25% higher than a year ago, indicating strong demand. Separately, Snowflake cut its full-year product gross-margin guidance from 75% to 74% due to AI workloads' lower contribution margin. Ramp data, covering 85,000 businesses, shows over 55% paid for at least one AI model in September, but reveals concentration of spending, a slowdown, and falling prices—potential early warning signs. AI-attributed US job cuts fell in August after a five-month peak, still accounting for 22% of the year's cuts.
Researchly Launches AI Database of 7M DACH Companies
Austrian startup Researchly, based in Wels, has built an AI-powered company database covering about 7 million businesses in the DACH region (Germany, Austria, Switzerland). The platform automates M&A research by aggregating data from official registers (Firmenbuch, Handelsregister, Zefix) and enriching it with AI insights from websites, news, and live searches. Key features include a Heat Score for corporate activity, business model canvases, network graphs, and semantic search. Four AI agents generate analyses for strategic buyers, acquisition targets, valuations, and financial investors. Pricing ranges from €49 to €499 per month, with enterprise plans. Researchly targets advisers, investors, and companies seeking acquisition opportunities, offering a cost-effective alternative to traditional investment banking research. Founded by Leopold Bosankic, Felix Kefer, and Stefan Endl, the team currently has four people.
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