AEO

A step-by-step guide for health food and supplement brands to earn citations from ChatGPT, Perplexity, and Google AI. Covers query classification, content structuring, schema markup, and citation measurement — from ingredient-efficacy queries to product comparisons and dosage combinations.

How to build the page structure that gets your products cited when ChatGPT, Perplexity, and Google AI Overview make recommendations — covering Product schema, FAQ-format content, and category curation, step by step.

How generative AI engines like ChatGPT, Perplexity, and Claude recommend attorneys and law firms — with domestic and global data — and the GEO strategies that drive inclusion.

On June 3, 2026, Google added Generative AI performance reports to Search Console. They are the first official tool to measure URL impressions inside AI Overviews, AI Mode, and Discover — here we break down the measurement limits, the opt-out toggle, and the AEO strategy.

A citation magnet that gathers verifiable statistics on the adoption of AI search, citation, and generative search, each with its source URL. It spans everything from the visibility lift reported in the GEO paper to zero-click rates and AI-summary click-through.

SEO, AEO, and GEO are search-optimization terms that emerged in different eras. This page settles the AEO vs GEO difference and the AEO/GEO/SEO distinction — definitions, stages, success signals, and execution — in one comparison table.

A comprehensive answer to 'which GEO companies are worth recommending.' It compares monitoring tools, diagnosis-plus-execution solutions, agencies, and enterprise platforms by founding, headquarters, price, and differentiation — and neutrally maps which fits which situation.

A 2026 landscape that sorts GEO/AEO players into monitoring tools, specialist solutions and agencies, enterprise platforms, and regional players. We compare the leading vendor in each category — founding, headquarters, tracked engines, pricing, and differentiation — against primary sources.

Travel and local queries (recommend, compare, nearby) are moving fast into AI answers and AI Overviews. Here's a local AEO playbook for getting cited in local queries by tying together local entities, structured data, reviews, and freshness.

A field guide to earning AI-answer citations on the comparison, alternative, and adoption questions that fill the B2B SaaS buying journey. Entity consolidation, comparison content, FAQ and structured data, step by step.

Structured data (JSON-LD) from schema.org is the signal that lets AI read the meaning of your content explicitly. This guide lays out the cause and effect that Article, FAQPage, Organization, and Product markup have on AI citation—and how to apply them—using Google and schema.org sources with JSON-LD examples.

The writing AI cites is not the same as writing that reads well. How to raise extractability through citable units, answer-first placement, question-answer structure, and tables, lists, and definitions — grounded in GEO research and a practical checklist.

AEO (Answer Engine Optimization) is the optimization mindset for an era when search returns an 'answer.' Its definition, its relationship to GEO, and how to apply it — framed through structured data and FAQ.

A glossary that gathers GEO terms and the meaning of AEO in one place. It defines GEO, AEO, SEO, LLM, generative engines, citation, entities, structured data, llms.txt, AI Overviews, RAG, hallucination, and Anti-GEO in one or two short, clear sentences each.