https://www.zrev.ai/insights Field notes from zRev on AI in go-to-market, answer-engine optimization, and revenue operations. en Thu, 17 Sep 2026 13:31:11 +0000 https://www.zrev.ai/insights/state-of-aeo-b2b-saas-2026 https://www.zrev.ai/insights/state-of-aeo-b2b-saas-2026 Thu, 17 Sep 2026 00:00:00 +0000 We ran 274 well-known B2B software companies through the same reader a buyer's AI assistant uses. 61% now publish an llms.txt, 76% carry structured data, only 4% block an AI crawler, and one in twelve could not be read at all. The numbers, the category gaps, what a model actually sees in the first 5,000 characters, and what to fix first. AEO https://www.zrev.ai/insights/what-a-buyers-ai-sees https://www.zrev.ai/insights/what-a-buyers-ai-sees Fri, 11 Sep 2026 00:00:00 +0000 Paste your homepage into an assistant with no context and ask what the company does. The answer is what buyers hear when they ask ChatGPT, Claude or Perplexity about you. Here is how to run that cold read in one click, what the common gaps look like, and how to close them. AEO https://www.zrev.ai/insights/aeo-for-b2b https://www.zrev.ai/insights/aeo-for-b2b Mon, 07 Sep 2026 00:00:00 +0000 Buyers ask ChatGPT, Claude, and Perplexity before they search. Four deterministic checks (llms.txt, AI crawler access, structured data, sitemap hygiene) decide whether those assistants can read your company, and what they say when they cannot. AEO https://www.zrev.ai/insights/five-questions-deal-teams-skip https://www.zrev.ai/insights/five-questions-deal-teams-skip Mon, 07 Sep 2026 00:00:00 +0000 Data rooms answer the questions they were built to answer. The five that decide whether a revenue engine is real (invoice-level retention, aged pipeline, founder gravity, paid-spend dependence, CRM-to-billing reconciliation) are the ones deal teams routinely skip. Here is why, and what to ask for instead. GTM Due Diligence