Observed Signal · Aug 11, 2026 · Research Report · Source: Hello Partner · Impact: 2/5 · Sentiment: Neutral
Research: Chatbots Poor at Finding Coupons
Hello Partner reports that new research from Atolls indicates large language model (LLM) chatbots perform poorly at locating coupons and discounts, with the chatbots' most-relied-on source showing one of the lowest hit rates. The article cites broader trends showing rising LLM usage for shopping — Adobe Analytics found 41% of U.S. shoppers used generative AI for online shopping in June, a CI&T survey found 68% of adults in the UK and Ireland had used an AI agent when shopping, and other 2026 research suggests over half of respondents use AI to hunt for deals. Detailed Atolls findings are behind a Partner+ paywall on the publisher site.
Research highlights limitations of LLM chatbots in shopping/use-cases relevant to commerce and conversational interfaces — relevant to retail media and chat-based commerce but not a platform-level or industry-shifting event.
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Key Takeaways & Evidence Grounding
- Hello Partner published an article on August 11, 2026 reporting Atolls research that LLM chatbots are not very effective at finding coupons/discounts.
- The article states that LLM chatbots’ most-relied-on source had one of the lowest hit rates (Atolls research).
- An Adobe Analytics survey reported that 41% of U.S. respondents used generative AI for online shopping in June 2026 (linked to Reuters).
- A CI&T survey found 68% of adults in the UK and Ireland had used an AI agent when shopping, up 7% from November.
- Other 2026 research (cited via Search Engine Land / Exploding Topics) found over half of respondents used AI tools to hunt for deals.
Connected Companies & Entities
4 Entities mapped“According to recent data from Atolls, not very....”
“According to a Adobe Analytics survey, in the U.S., 41% of people used Gen AI for online shopping in June....”
“At CreatorFest 2026, the publisher mentions a conversation with Pontus Eskilsson, VP Global Partnerships at Twitch....”
“A linked piece references Kantar’s Vera Sidlova on influencer and creator marketing....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Limits of Reaching Chatbot Shoppers
Advertisers seeking placements inside LLM-driven shopping experiences face major limits today. ChatGPT's ad product remains a narrow pilot with a small number of brand partners and low impression volumes, though participating advertisers report high per-session cart values. By contrast, Google’s AI Overviews (AIOs) already surface ads broadly to Search/Shopping/Performance Max advertisers and cannot be opted out, while Amazon’s Rufus chatbot is reportedly preparing to monetise via sponsored prompts and will enrol existing Sponsored Products/Brands automatically. Marketers can optimise feeds and metadata for LLM ingestion, but there is no general paid mechanism to guarantee visibility in generative-AI responses. Criteo has been named as a third-party ad-tech vendor partner for ChatGPT, and industry players are watching to see which platforms scale agentic ad inventory next.
Over One-Third Use AI Chatbots for Purchases
A study by the Landesanstalt für Medien NRW surveying more than 2,000 people finds that AI chatbots are increasingly used as everyday helpers. Respondents most often consult chatbots for household/everyday questions (56%), followed by health topics (48%) and purchase decisions (36%); 24% use chatbots for political information. Advanced prompting techniques are rare (0.4%). The study notes that chatbots rely on web sources more often for current factual queries but less for opinion or orientation questions; for example, ChatGPT referenced web sources on first queries in about 52.3% of cases. Tobias Schmid, director of the media authority, stresses the need for transparency about sources and how user inputs affect outputs. A follow-up study will examine which media sources chatbots actually use and potential effects on media diversity and opinion formation.
AI Agents Drive Dell Traffic, Not Conversions
Dell reports a measurable increase in ecommerce visits originating from AI agents and LLM interfaces such as ChatGPT, Perplexity and Claude, but those sessions have not produced comparable conversion rates. Breanna Fowler, Dell’s head of global consumer revenue programs, says the company is running proof-of-concept tests and internal discussions about the long-term role of LLM-driven shopping. The evidence suggests agentic AI currently acts more like an aggregator that aids discovery and top-of-funnel exploration rather than a transactional storefront. Dell ranks relatively well in AI-driven discovery environments, implying different ranking signals may matter for LLM outputs. Fowler emphasizes that on-site search and product findability remain the primary drivers of ecommerce performance despite interest in AI discovery channels.
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