LLMs aren’t dying. But the bet that scaling alone reaches AGI already did. We audit the loudest claims in the AI dead-end debate against primary sources — verified, disputed, and unverifiable.
OpenAI shipped two enterprise agent products five months apart. Frontier is the orchestration layer. Presence is the packaged product. Here’s what separates them — and why OpenAI’s own numbers deserve a second look.
A practitioner-sourced buyer’s guide to the AI SEO / GEO tools market in 2026 — what’s available, what it costs, and what people actually use versus what vendors rank #1.
A breakdown of the four pricing research methods — Van Westendorp, Gabor-Granger, MaxDiff, and Conjoint Analysis — SaaS founders can run themselves, without a five-figure consulting engagement.
The organic vs paid B2B SaaS pipeline 2026 debate keeps citing one stat — 27% vs 26%. We traced it through four hops of citation and hit a dead link. Here’s what’s actually verified — and what isn’t.
The 222% CAC statistic used to declare SEO dead is an ecommerce number, not a SaaS one. Here’s what the real CAC, AI Overview, and channel-cost data show about SEO ROI for B2B SaaS in 2026.
Technical SEO didn’t die in the AI era — it gained a second audience. Here’s what actually changed, what Google officially says, and the complete 2026 audit framework: The Three Audits.
Google’s SEO tools are free, but SEMrush isn’t. Here’s why both still exist, and the Four Walls Framework that explains it.
SaaS isn’t dying — but its dashboard-first model is being redistributed toward AI agents. Here’s what Gartner, Goldman Sachs, and Deloitte actually say about the dashboard-to-agent shift, and the VERIFY framework for judging any claim in this debate.
SXO is the practice of optimizing a page for what happens after someone clicks into it. This guide covers the definitional confusion around the term, how it differs from SEO, AEO, and GEO, and introduces The Click-Worth Loop — a three-stage framework for earning, rewarding, and proving a search visit in the AI Overview era.
AI FinOps applies FinOps principles to token-based AI spend. Learn the AI Spend Lifecycle framework B2B SaaS teams use to control costs before the invoice arrives.
Companies laid off employees betting AI could do the job. Now they’re paying $1.27 for every $1 they saved — and quietly refilling the roles, even if it’s not always the same people.
A controlled four-run test isolating memory, account type, and model routing found the real reason two ChatGPT accounts score the same content differently — and it’s not what most people assume.
AI companies decide pricing by stacking margin and strategy on top of real per-token compute cost. This piece breaks down the AI Price Stack framework, works through a real $20 subscription example, and includes a free calculator for anyone pricing their own AI product.
Most AI models called “open source” are open weights only. The Openness Audit gives B2B buyers four questions to ask any AI vendor before signing an infrastructure contract.
