Every post is written for founder-led B2B teams shipping AEO, GEO, LLM-visibility, and AI-agent identity work. No fluff. Real numbers. Real mechanics.
A Q3 2026 update on AI Distribution, the work of getting named by AI answer engines (also called Answer Engine Optimization and Generative Engine Optimization). What held from the July report, three shifts in buyer behavior over the summer, and where the tooling bar has moved now that the practice is a year old inside most B2B growth teams.
A working design for a domain-first ICP enrichment engine that scores fit against 15 signals without paying a single data broker. Every source is a public endpoint. Every fetch is free. This is the mechanic and the map of which endpoint feeds which signal.
A mid-2026 snapshot of AI Distribution, the work of getting a brand named by AI answer engines. Answer Engine Optimization and Generative Engine Optimization are the practitioner terms for it. What buyers do differently, which engines dominate, how the tooling groups, and where the practice heads next.
Citation-Lift is the layer that turns each morning's Search Score gaps into paste-ready content fixes across six formats. Here is how the workflow is built, mechanic by mechanic, and why it is engineered for a sub-ten-minute cycle.
A working definition of Answer Engine Optimization: what it is, how it differs from SEO, what the engines actually weight when they decide who to cite, and how a lean B2B team practises it week to week.
Your Search Score is a 0-100 index of how often the AI engines cite you when a buyer types a commercial-intent prompt. This post explains exactly how it is calculated, what each range means, and how to move it.
AEO, GEO, LLMO, and AI SEO all describe the same practice: getting your brand cited by AI answer engines. This post disambiguates the terms, names who coined each, and predicts which will win.
Context engineering is the practice of shaping the passages, entity graphs, and structured signals that AI answer engines retrieve before generating an answer. This post explains the mechanics and what to do about them.
AI agents that write, sell, or decide on behalf of a brand need identity context to sound like the brand and not like generic AI. This post defines identity context and shows how Searchalong AI operationalizes it.
Large Language Model Optimization (LLMO) is the technical practice of moving your cite-rate in ChatGPT, Claude, and Perplexity. This post names the seven tactics that actually work, with numbers.