Under the Lens
Analysis and field reports on AI search, agentic commerce, and how product visibility is being reshaped by language models.

Google now joins Microsoft in surfacing AI search traffic in default analytics — but the real gap for ecommerce teams is in the queries that never become visits at all.
Microscope Team

AI assistants are rapidly becoming the first point of interaction for buyers seeking product recommendations, displacing traditional search engines. Early adopters who establish strong visibility gain compounding advantages as AI systems reinforce brand associations over time.
Microscope Team

AI assistants are increasingly guiding buyer decisions, making visibility in these platforms critical for brands. Unlike traditional SEO's 'set and forget' approach, AI-driven visibility is dynamic and requires continuous monitoring, iteration, and proactive management to remain relevant.
Microscope Team

AI assistants learn about products from a complex ecosystem of data sources across the web, not just company websites. Understanding how AI synthesizes information from content, reviews, structured data, and community signals is critical for brands seeking visibility in an AI-driven marketplace.
Microscope Team

AI assistants are becoming the primary discovery channel for products, requiring brands to conduct structured visibility audits. Companies may rank well in traditional search yet remain absent from AI-generated recommendations, necessitating a new approach to digital visibility.
Microscope Team

Product reviews are shifting from customer signals to AI decision signals. AI systems now analyze reviews, ratings, and feedback to determine product recommendations, fundamentally transforming how reputation influences buying decisions in the age of AI assistants.
Microscope Team

As AI assistants increasingly power product discovery and recommendations, structured data has become essential for brand visibility. Without clear, machine-readable information, products may be invisible to AI decision systems.
Microscope Team

AI assistants are increasingly shaping how buyers research products and make purchasing decisions. Traditional web analytics can no longer measure influence when decisions happen inside AI conversations, requiring brands to adopt new KPIs for agentic commerce.
Microscope Team

Many companies assume that ranking well on Google guarantees visibility in AI-generated answers, but this assumption is proving wrong. AI search tools reshape product discovery by analyzing multiple sources and generating synthesized recommendations, requiring different optimization strategies than traditional search.
Microscope Team

When users search ChatGPT or Perplexity with high-intent queries like "best organic skincare brand for sensitive skin," they receive synthesized answers rather than multiple links. Many brands that rank well on Google completely disappear in AI recommendations because AI models prioritize reasoning over keyword matching.
Microscope Team

AI search is reshaping how buyers discover products, yet many brands remain invisible to ChatGPT, Perplexity, Claude, and AI agents. Unlike traditional SEO that optimizes for search engine crawlers, AI visibility requires a new approach focused on how reasoning models synthesize and recommend products.
Microscope Team

For 20 years, search operated predictably with users typing queries and Google returning links. Today, consumers increasingly ask AI assistants instead, receiving direct answers that bypass traditional search rankings entirely. This shift is already impacting product visibility and revenue for eCommerce and DTC brands.
Microscope Team
