Observed Signal · Jun 12, 2026 · Research Report · Source: https://martechseries.com/feed/ · Impact: 3/5 · Sentiment: Positive
Report: ChatGPT Users Differ from Google Searchers
BFJ Digital published a behavioural report showing distinct intent differences between users of conversational AI (ChatGPT) and traditional search engines. The study finds ChatGPT is primarily used for exploratory research and synthesis during the buyer journey, while search engines retain dominance for immediate transactional intent and checkout pathways. The report warns that treating all digital traffic as having equal purchase intent raises customer acquisition costs and recommends three operational shifts: optimise site data for AI contexts, split marketing budgets by intent (research vs transactional), and update attribution models to map AI-led research to eventual search-driven conversions. The article was published on June 12, 2026 by MarTech Series.
The report highlights changing user intent across conversational AI and search, with direct implications for SEO, paid search budgets, attribution models and martech strategies—requiring marketers to reallocate spend and update measurement to avoid rising acquisition costs.
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Key Takeaways & Evidence Grounding
- BFJ Digital released a strategic behavioural report analysing consumer interactions with conversational AI and traditional search.
- The report finds ChatGPT is heavily used for exploratory and synthesis stages of the buyer journey (research and comparison).
- Traditional search engines maintain dominance for immediate transactional intent and direct pathways to merchant checkout.
- BFJ Digital recommends three operational shifts: optimise for AI context, split budgets by intent, and update attribution models to track AI-to-search conversions.
- Article published on June 12, 2026 by MarTech Series (author: MTS Staff Writer).
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Related Market Signals & Shifts
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Google AI Critiques Brands More Than ChatGPT, Study Finds
BrightEdge published research using its AI Catalyst platform showing that generative search/chat engines evaluate brands differently and create a new form of brand risk for CMOs. Google AI Overviews are reported to be 44% more likely than ChatGPT to surface negative brand sentiment overall, with negative responses appearing in about 2.3% of Google mentions versus 1.6% for ChatGPT. However, ChatGPT concentrates negative commentary much closer to the point of purchase — about 13 times more often than Google — which can directly affect conversions. The two engines draw from different source ecosystems (Google leans on news and controversy; ChatGPT on reviews, forums and social) and flagged different brands in 73% of overlapping negative prompts. BrightEdge recommends engine-specific monitoring and reputation strategies because AI answers compress a brand’s entire digital footprint into authoritative responses at scale.
Similarweb: ChatGPT Ads Threaten Google Search Ads
OpenAI launched an advertising program for ChatGPT in early February 2026. Harel Amir, Product Chief at web analytics firm Similarweb, analysed early ChatGPT ad placements from partners including Hubspot, Dick‘s Sporting Goods and Indeed. Amir argues ChatGPT-Ads target users via conversational intent (derived from ongoing dialogues) rather than keywords, enabling ad impressions for users without prior purchase intent. Similarweb data cited: 46% of users shown ChatGPT ads had no initial purchase intent, 83% of queries that triggered ChatGPT ads would not have produced a Google Shopping ad, estimated CPM ~ $60 and CPC ~ $12, and a click-through rate around 0.68%. Amir sees this conversational ad model as a potential threat to Google’s search-advertising dominance and a high‑value new revenue channel for OpenAI.
EU Classifies ChatGPT as Search Engine; Brands Need AI SEO/GEO Tools
On August 31, 2026, the European Commission formally designated ChatGPT a "Very Large Online Search Engine" under the Digital Services Act, placing it in the same regulatory category as Google and Bing. With over one billion weekly active users, ChatGPT's classification underscores the shift of product discovery toward AI-generated answers. Azoma, an Agentic Commerce Optimisation platform, released an analysis showing that each AI agent (ChatGPT, Gemini, Amazon Rufus, Walmart Sparky, etc.) cites different source mixes, meaning no single AI SEO or GEO strategy works everywhere. Brands are advised to adopt tools that offer prompt-level visibility tracking, citation-source analysis, competitive benchmarking, and optimization workflows for content and product data. Traditional SEO alone is insufficient because AI platforms produce synthesized recommendations before users visit brand sites. The EU decision legitimizes AI search, making AI SEO and GEO essential for brand visibility.
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