ChatGPT

How B2B buyers use ChatGPT and Perplexity to shortlist software: and a step-by-step GEO pipeline for getting your solution named consistently in AI-generated category answers. Covers measurement, diagnosis, execution, citation mechanics by engine, and measurement tool comparison.

Generative AI referral traffic is establishing itself as a measurable conversion channel in Korea's D2C ecommerce market. AI-referred visitors convert 31% higher than general traffic (Adobe Analytics, 2026), and AI shopping referrals surged +752% YoY during the holiday season. Verified data and an execution roadmap, in one place.

Cross-analyzing four major studies from 2026: ChatGPT's share ranges from 63% to 92% depending on methodology. Gemini's share tripled in 12 months, overtaking Perplexity, while Claude grew 64x in 19 months.

GA4's AI Assistant channel: added to Default Channel Groups in May 2026, automatically classifies AI referral traffic, yet a structural blind spot remains: sessions that arrive without a referrer header. Here's what the channel captures, what it misses, and how to cover the gap.

A side-by-side comparison of the four major AI shopping recommendation platforms: ChatGPT, Perplexity, Gemini, and Google AI Mode, covering data sources, conversion rates, and optimization levers. One page to decide where to put your GEO budget first.

A strategic comparison of ChatGPT Search paid advertising and GEO (organic AI citation optimization): covering cost structure, speed to results, sustainability, and how to allocate budget between the two channels.

A 2026 comparison of the four major AI search engines: ChatGPT Search, Google Gemini, Anthropic Claude, and Perplexity AI, covering crawler infrastructure, index types, citation preferences, and engine-specific GEO strategies.

GPT-5 and Gemini 2.5 Pro raised the stakes for engine-specific GEO. Compare ChatGPT, Google AI, Perplexity, and Claude by information source, citation mechanism, and GEO lever: with tiered investment priority guidance for each engine.

ChatGPT Search, powered by GPT-5.6, draws citations from two separate paths: training data and real-time web search. This guide breaks down how each path works, which GEO levers apply to each, and a 2026 execution roadmap from robots.txt configuration to structured content.

A hands-on guide for sellers who want their products appearing in ChatGPT Shopping results. Covers chatgpt.com/merchants access, required feed fields, common rejection causes, and how to measure AI visibility after approval.

An analysis of why three leading AI engines recommend different brands for identical queries. Divergent signal pools: training-data frequency, real-time search, and the Google index, are the structural cause of per-engine brand citation SOV differences.

Cross-analyzing AccuraCast, BrightEdge, and Ahrefs research alongside the GEO arXiv paper to show exactly how E-E-A-T signals affect AI citation rates: and how ChatGPT and Perplexity differ in their response.

Visitors arriving from AI search platforms (ChatGPT, Perplexity) convert at 1.3× to 9× the organic rate, depending on industry and measurement baseline. An analysis of 94 e-commerce brands found ChatGPT CVR at 1.81% vs. 1.39% for non-branded organic (Visibility Labs, 2025). This page compares channel ROI with empirical data and a measurement framework.

ChatGPT builds answers from pretraining data and live web search. This piece lays out how to surface your brand in those answers by allowing GPTBot, structuring content so it can be cited, and consolidating your entity.