AI Shopping Agents Are Becoming Your Second Customer
How delegated search and purchasing could change brand discovery, buying signals, product information and go-to-market strategy.
Direct answer
AI shopping agents create a second decision layer between brands and people. A human supplies goals and constraints; the agent searches, compares and may act. Brands therefore need to persuade the person while making product facts, policies, availability and value legible to machines.
Key takeaways
- Discovery may increasingly be delegated even when final approval remains human.
- Machine-readable facts and human meaning are complementary, not competing strategies.
- Brands need to understand the instructions customers give their agents.
The purchase journey gains a new participant
A shopping agent can translate a goal into search criteria, gather evidence, compare options and recommend or complete an action. That changes who encounters the brand’s content and how the consideration set is formed.
Kantar reports that 24% of AI users already use an AI shopping assistant and argues that brands will increasingly need to predispose agents as well as people. The exact level of autonomy will vary, but delegated comparison is already a meaningful behaviour.[1]
Agents make hidden criteria explicit
People often carry fuzzy preferences. To brief an agent, they may express constraints more clearly: maximum budget, delivery date, compatibility, values, return policy or willingness to trade quality for convenience. Those instructions become a new form of buying signal.
The brand may never see the original query, but it can prepare by publishing accurate, structured and consistent information about the criteria customers use. Ambiguity becomes a commercial disadvantage when an agent cannot verify a claim.
Being machine-readable is not enough
An agent can compare specifications, but the human still defines the goal and evaluates whether the recommendation feels appropriate. Trust, identity, aesthetics and emotion do not disappear merely because software performs part of the search.
Capgemini’s 2026 consumer research found growing use of generative AI shopping tools alongside persistent concern about data use, transparency and AI-generated advertising. Brands need both factual clarity and credible human reassurance.[2]
Prepare the offer for two audiences
For agents, publish stable product identifiers, complete specifications, transparent pricing, availability, shipping, returns, compatibility and evidence. For humans, explain the job, trade-offs, experience and reason to trust the brand. Keep both layers consistent.
- Remove contradictory product facts across channels.
- State exclusions and conditions next to the claim they qualify.
- Use comparison-friendly tables without hiding meaningful trade-offs.
- Maintain current policies and availability.
- Research the prompts and constraints customers use when delegating decisions.
The new GTM question
Traditional strategy asks how to earn attention and preference. Agentic commerce adds another question: under which customer instructions would an agent include, exclude or recommend the offer?
That question can be tested now. Teams can vary customer goals, constraints and environments, inspect which facts become decisive and identify where the offer is difficult to evaluate. The result improves human journeys too, because clarity reduces friction for everyone.
Frequently asked questions
What is an AI shopping agent?
An AI shopping agent is software that can interpret a customer goal, search and compare options, recommend products and, in some cases, complete parts of a transaction.
Will AI agents replace brand marketing?
No. They may mediate discovery and comparison, but people still supply goals, preferences and trust. Brands need both machine-readable evidence and human meaning.
How should brands prepare for agentic commerce?
Publish accurate structured product information, reduce ambiguity, maintain consistent policies and research the criteria customers give to AI assistants.
Sources and further reading
- Marketing Trends 2026Kantar
- What matters to today's consumer 2026Capgemini Research Institute