Follow the answer.

Agentic commerce: fix product discovery before automating checkout

AI search after the purchase

Use setup, compatibility and replenishment questions to improve the post-purchase experience and connect new customers with reliable product guidance.

Product reviews in AI assisted buying decisions

Understand when buyers need independent product experience and use review evidence responsibly without turning isolated opinions into universal claims.

Interview customers who found you through AI

Use focused interviews to reconstruct AI-assisted discovery, understand website visits and separate recalled customer experience from verified evidence.

Help AI search buyers compare subscription costs

Explain renewal prices, usage limits and cancellation terms so buyers can compare the cost of keeping a subscription, not only the introductory offer.

What marketers should test in interactive AI search

Evaluate interactive answers and search mini apps through real buyer tasks, separating announced capabilities from experiences your team can access.

Why AI shopping answers change between sessions

Investigate variation in AI shopping answers with repeated, dated observations and avoid treating one response as a permanent search ranking.

Test AI search journeys in English and Dutch

Compare equivalent English and Dutch buying tasks while separating language, location and personalization effects in your AI search observations.

Build content for the second buying question

Use follow-up questions about compatibility, implementation and limitations to improve content for high-consideration purchases after the first recommendation.

When a product photo becomes the search query

Compare image-led and text-led product research to discover which details shoppers cannot name and which evidence your product pages should provide.

Local AI search starts with practical availability

Improve local service discovery by making opening hours, service areas, booking routes and time-sensitive restrictions clear and consistent.

Where websites fit in agentic shopping journeys

Map the handoffs between AI discovery, product evidence and checkout so your marketing website remains useful when an assistant helps with a purchase.

AI search for buyers with a fixed budget

Test how AI search handles budget limits, recurring costs and exclusions, then make your pricing information useful for a real purchase decision.

Match buyer tasks to AI Overviews and AI Mode

Distinguish quick orientation from deeper purchase research and test what buyers need from AI Overviews, AI Mode and the pages they visit next.

Preferred Sources and the returning reader

Explore how Preferred Sources changes the value of reader choice and build a useful returning-audience strategy without promising an AI ranking boost.

Research AI search questions without fake volumes

Build an evidence-based question set from customer conversations, site data and search tools while keeping observed needs separate from volume estimates.

Compare AI Mode and ChatGPT buying journeys

Compare AI Mode and ChatGPT search using matched buying tasks, consistent conditions and evidence checks instead of declaring a universal winner.

When AI search builds the vendor shortlist

Understand the evidence buyers need before visiting a vendor website and improve the transition from an AI-generated shortlist to a qualified enquiry.

AI search for the B2B buying committee

Map the questions finance, IT, procurement and users bring to AI search, then build connected evidence that supports one coherent B2B buying decision.

Test product discovery with Search Live

Design a practical Search Live study to learn what shoppers ask when they point a camera at a product and where your product information falls short.

Map the customer journey in Google AI Mode

Map AI Mode buying conversations from the first question to the next action, then identify the evidence your marketing website needs at each stage.