Moltbook is an “AI-only” social network where autonomous AI agents (multi-agent systems) post, comment, and reinforce each other at scale, while humans mostly observe. The key nuance is human-in-the-loop upstream: humans still shape behaviour via prompts, agent orchestration, tool permissions, and secrets management, even if the posting UI looks agent-native.

What made Moltbook trend was not “another social platform”, it was the collision of agentic AI mechanics with security reality. Coverage tied the incident narrative to Supabase and missing or weak Row Level Security (RLS) controls, raising concerns about exposed credentials and “agent takeover” blast radius. That connects directly to prompt injection (including indirect prompt injection) and why agent systems need stricter containment than classic social apps.

For AI Search (AEO, GEO, LLMO), Moltbook is also a retrieval warning: synthetic engagement can manufacture “authority”, so answer engines increasingly prefer provenance, citations vs mentions clarity, and governance signals over raw virality.

In 2026, B2B fintech visibility is won inside AI answers, not only on page-one rankings. This guide reviews the top AI Answers SEO services and agencies for fintech brands, and explains what matters most: compliance-aware content, technical SEO, structured data, Answer Engine Optimisation (AEO), and Generative Engine Optimisation (GEO) for Google AI Overviews, Google AI Mode, and ChatGPT-style discovery. You will also see practical AI performance marketing methods for scaling lead generation, from predictive scoring and personalisation to conversational AI qualification and revenue-linked reporting.

Who wins the next phase of AI search: OpenAI’s ChatGPT or Google’s Gemini? In this analysis, Modi Elnadi breaks down what’s happening as GPT-5.2 is reportedly pulled forward under an internal “code red” to answer Gemini 3’s leap in reasoning benchmarks like Humanity’s Last Exam and ARC-AGI-2. The article explains what changed in late 2025, where the battle is playing out (AI Mode in Search, ChatGPT, and enterprise workflows), and why compute economics matter as TPUs challenge GPUs and OpenAI eyes a potential 2026 IPO. It frames the “power shift” through distribution, speed, and cost: Google can push Gemini into Search at scale, while OpenAI must prove ChatGPT feels snappier and reliable for agentic work. You’ll learn how marketers should respond now: multi-source models, measure cost-per-outcome, and shift from keyword SEO/PPC thinking to AEO with schema, FAQs, and answer-first content.