Blog
Analysis of what actually affects whether AI answer engines can read and cite a site — no hype, no invented statistics, sources cited by name.
AI Hallucinations About Your Brand: How to Detect and Fix Them
AI chatbots regularly state wrong prices, discontinued products, and invented features as fact. How brand hallucinations happen, how to detect them, and how to fix the underlying signals.
August 16, 2026 · 5 min read
AI Share of Voice: How to Measure Your Brand's AI Visibility
What AI share of voice means, how to measure it manually versus with automated monitoring, the key metrics that matter, and how to report it to stakeholders.
August 16, 2026 · 5 min read
Is Your Brand Being Poisoned? Competitor Analysis for AI Visibility
How competitors shape what AI answer engines say about your brand through comparison content, blocked crawlers, and structured data — and how to monitor for it.
August 16, 2026 · 5 min read
Pre-Flight AI Sandbox: Test How AI Will Summarize Your Content Before You Publish
Why content published without checking how AI will summarize it risks mischaracterization, and how a pre-flight sandbox lets you test and revise a draft before it goes live.
August 16, 2026 · 4 min read
The CrawlPod Verified Badge: A Trust Signal for AI Crawlers (and Humans)
Why cryptographically verified trust signals matter more as AI intermediaries handle more discovery, how the CrawlPod Verified Badge works, and how to add it to a site.
August 16, 2026 · 5 min read
Vector-Gap Analysis: Finding the Content Your Competitors Have (and You Don't)
Why keyword-based content gap analysis misses conceptual gaps, how embeddings compare meaning instead of words, and how vector-gap analysis identifies what competitors cover that you don't.
August 16, 2026 · 4 min read