
Google Says You Don't Need llms.txt. Here's the Catch.
Google says llms.txt is unnecessary. Chrome Lighthouse audits it anyway. We fact-checked five studies on what llms.txt really does for AI visibility in 2026.
Vector scores and routes leads. Hive orchestrates AI co-workers. You own the code, we maintain the intelligence platform.
For B2B SaaS, agencies, and service businesses qualifying high-intent inbound leads and automating ops.
Vector is a 12-dimension lead qualification engine for B2B teams. It reads every inbound signal, scores fit and intent, and routes only ready-to-buy leads to sales.
No $890/month SaaS. You own the source code, we keep the intelligence tuned. Deployed in 60 days.
"We spent $0.29 to qualify 1,000 leads. HubSpot charges $890/month."
Hive is a multi-agent orchestration layer that turns AI chatbots into working co-workers. It coordinates agents across ops, CX, and internal tools with governance and security built in from day one.
$2 per resolution vs $20-50 for a human ticket. 12-week build. You own every line of application code.
"Shipped a production AI travel concierge in 1 day using Thread-Based Engineering."
Every line of application code ships to your repo. No vendor lock-in, no extraction fees.
We maintain the platform layer: model tuning, scoring recalibration, and infra upgrades.
Zero critical vulnerabilities across shipped products. Your security team reviews everything.
Our most-cited deep dives on AI search visibility, plus what we shipped this month.

Google says llms.txt is unnecessary. Chrome Lighthouse audits it anyway. We fact-checked five studies on what llms.txt really does for AI visibility in 2026.

Reddit is the most-cited source in AI answers. The Reddit Brand Monitor finds what is said about your brand there, scores it, and flags AI-generated seeded posts.

The YouTube Brand Monitor tracks what is said about your brand on YouTube, scores it on five dimensions, and reads the actual transcripts so you see the coverage AI already hears.