Observed Signal · Oct 10, 2026 · Survey/Study Release · Source: Retail-News · Impact: 3/5 · Sentiment: Positive
AI Changes Marketing: Companies Invest in Visibility and Trust
A LinkedIn survey of 585 marketing decision-makers in Germany reveals that AI is reshaping how consumers discover brands, but human expertise remains a key trust factor. 72% believe buyers trust human assessments more than AI-generated content, and 70% say brand credibility now outweighs visibility. 47% plan to increase investments in Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) to improve visibility in AI-generated answers. Meanwhile, 55% find expert content more effective than traditional campaigns, and 98% consider a presence on professional networks important. The study suggests that companies must combine technical optimization with expert communication and active network engagement to build credibility in the AI era.
The study provides actionable insights for marketers on how AI is changing consumer trust and discovery, emphasizing the need for GEO/AEO and expert content.
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Key Takeaways & Evidence Grounding
- A LinkedIn survey of 585 marketing decision-makers in Germany was conducted.
- 72% of respondents believe buyers trust human assessments more than AI-generated content.
- 47% plan to increase investments in Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO).
- 98% consider an active presence on professional networks important due to AI search systems.
- Censuswide conducted the survey on behalf of LinkedIn.
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Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
AI Search Revolutionizes Brand Visibility Strategies for CMOs
The article argues that discovery is shifting from traditional search results to AI-driven answer experiences, requiring CMOs to redefine visibility beyond rankings and clicks. Research into Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) shows enterprises are allocating budget and building capabilities for AI-native discovery: organizations report average budget allocations of 12% to AEO/GEO, many plan to increase spending, and high-maturity firms are accelerating investment. Although AI referral traffic is currently a small share of website visits (~1%), AI-generated answers appear in roughly 25% of Google searches and influence perception and shortlists upstream of clicks. New KPIs (brand mentions, domain citations, share of AI answers) and content strategies (long-form, structured data, clear authorship, technical hygiene) are emerging. Measurement and feedback loops remain key challenges as brands try to verify AI crawling and citation.
AI Answers Will Transform Marketing by 2026
The article predicts a structural shift in marketing driven by generative AI answers (e.g., ChatGPT, Google Gemini, Perplexity) that will change how buyers discover, evaluate and choose brands. It issues four core predictions for 2026: (1) measuring AI-driven brand visibility (Generative Engine Optimization / Answer Engine Optimization) will become standard; (2) content presence, freshness and credibility will determine outcomes even as click signals weaken; (3) PR will evolve into required credibility infrastructure because AI systems rely on third‑party validation; and (4) a surge of GEO tools will emerge, followed by consolidation and failures. The piece advises marketers to measure AI narratives, assign ownership for GEO, and consolidate brand messaging into a single source of truth to influence how AI describes and recommends brands.
AI Recommendations Become New Commerce Media Battleground
Adtech firm Koddi commissioned a study (March–April 2026) by research agency The Human Instinct surveying 750 consumers and 150 senior commerce-media professionals across Germany, the US and the UK about the rise of agentic AI in shopping. Findings show consumers are open to AI support for research but reluctant to fully hand over purchase decisions; comfort with AI assistance is 59% in Germany, 75% in the US and 68% in the UK. On the industry side, many companies are already using or exploring AI agents (32% in Germany; 70% in the US) and 84% of commerce-media decision‑makers globally would invest to increase visibility in AI-generated answers or shortlists. Measurement and attribution are highlighted as critical constraints, with ~92% globally (88% Germany) planning spending on agent-specific measurement. The report also names Generative Engine Optimization (GEO) as an emerging discipline.
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