Profound is the category leader in AI visibility, and for many enterprises it is the right choice. But price, data overload, and enterprise-first fit send teams looking. Here are eight Profound alternatives for 2026, each organized by the use case it fits best.
ChatGPT builds shopping answers from public retail pages, merchant feeds, and its own synthesis. This guide explains how the product card is assembled and gives a seven-step playbook to compete for it, from baselining product visibility to attributing revenue.
A fan-out query is one of the several background searches an AI engine runs before answering a single prompt. This guide explains how query fan-out works across ChatGPT, Perplexity, and Google AI Mode, why your AI visibility depends on ranking for those hidden searches, and how to close the gaps.
AI shopping assistants recommend specific products, not brands. SKU-level AI visibility tracks which of your products appear in ChatGPT's answers, whether the card renders with the right price, and which of your bestsellers are invisible to AI. A concept explainer plus a six-step how-to.
An AI visibility platform monitors how ChatGPT, Google AI Overviews, Gemini, Perplexity, and Claude describe and recommend your brand, shows which sources shape those answers, and helps you change the outcome. Here is how they work, what they cost, and the four jobs to evaluate them on.
LLM-referred traffic to online stores grew 6.5x (a 550% increase) in 12 months on a stable cohort of 30 US brands, and converts at 2.68%, ahead of Google Ads and Meta Ads. New first-party research from Alhena across 310 brands and about 190M visitors, with full methodology and limitations.