Methodology-first content on LLM visibility, citation infrastructure, and AEO strategy. Written to be citable by the engines we write about.
Compare Peec AI, AthenaHQ, Scrunch, AIclicks, and Otterly.AI using our 6-dimension evaluation framework: engine coverage, scoring methodology, actionability, automation, pricing, and data depth. Neutral referee analysis with decision guidance.
AEO (AI Engine Optimization) is how brands get cited by ChatGPT, Claude, Perplexity, and 5 other major LLMs. Covers the AIS Index methodology (V×0.40 + A×0.30 + S×0.20 + Ad×0.10), all 8 LLM engines, and the core differences from traditional SEO.
Step-by-step guide with 5 exact prompts to test if your brand appears in ChatGPT, how to interpret results, and the 5 fastest fixes if you're invisible. Manual testing + automated scanning with AISearchStackHub.
Side-by-side comparison of AI SEO vs. traditional SEO across 12 dimensions — signal sources, ranking mechanisms, citation requirements, and measurement. Includes the 73% gap statistic and dual-track strategy framework.
Four structural types of brands that get cited in LLM answers — and the 73% statistic that explains why most brands are invisible to every major AI engine. Includes a step-by-step path from zero citations to cited.
Why traditional attribution breaks for LLM citations — and what to track instead. A 3-stage framework: baseline, measurement, ROI calculation. Includes a metrics table: what to track vs. what to skip.
Side-by-side comparison of every AEO measurement tool — methodology, engine coverage, data freshness, and pricing.
Complete strategy for moving from invisible to "top 3 recommendation" in ChatGPT and other major LLMs. Covers content, citations, and compounds.
See where you stand. Run a free AIS scan — 24 prompts across 8 LLM engines, results in under 3 minutes. No account required.
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