Getllmspy journalupdated May 18
Guides to brand visibility
in AI answers
Articles on brand visibility in LLMs: AEO, GEO, the LLM-Score methodology, case studies and model comparisons.
AEO vs SEO: run both without channel conflict
SEO earns a link, AEO earns the answer. A practical operating model for metrics, budgets, and coordinated work across search and AI answer engines.
What is GEO: how to show up in ChatGPT & Perplexity
GEO measurement (GA4, GSC, manual prompts), off-site signals, platform differences, RAG, answer-first, schema, and a 30-day plan for ChatGPT, Gemini, and YandexGPT.
Checklist: verify your brand mentions in ChatGPT
Define mention quality, capture baseline, evaluate sentiment, and prioritize GEO updates after each monitoring cycle.
How to measure Share of Voice in LLM answers
Formula choices, confidence caveats, and interpretation rules that make Share of Voice useful for decisions.
Playbook: reduce hallucination risk in AI answers
How to detect false claims, prioritize by business impact, and close the loop with reruns across multiple models.
KPI dashboard for executive AI visibility reporting
A practical KPI set, reporting cadence, and action logic for teams managing AI answer visibility over time.
Template: GEO brief for AI-first content planning
Use this template to align SEO and editorial teams around intents, sources, and answer-ready structure for LLM visibility.
How to get cited in AI answers: mechanics, not mantras
A brand lands in an answer via model memory or live retrieval. What drives each route, and a 7-point checklist of what actually moves mentions.
Why AI doesn't mention your brand: 7 reasons
From 'not in the training data' to 'the site is closed to AI bots' — seven reasons for invisibility, each with a check and an order of what to fix first.
AEO explained: how it differs from SEO and where to start
AEO is optimization for AI answers. How it differs from SEO, what they share, and the first five steps. A cornerstone primer.
Brand splitting: how AI fragments your name and steals share of voice
A real-data study: 7 models, 600 answers. Tinkoff/T-Bank fragmented into 4 names and looks mid-table apart — but leads the category once merged.
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