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World Congress 2026 Europe • Jul 9, 2026 • Session details

AI Search Insights from OtterlyAI: What We Tested, What Failed, and What Actually Works

Klaus-M. Schremser

Traditional SEO is failing as AI search expands. Are you using the proven Generative Engine Optimization tactics required to make language models cite your brand?

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#1 about 2 min

Speaker background in marketing and search metrics

How past engineering and marketing roots provide the foundation for decoding search algorithms.

#2 about 3 min

The shift from traditional search to AI answers

Why users bypassing standard blue links forces companies to adopt a multi-engine presence strategy.

#3 about 2 min

Differentiating AI search layers from standard LLMs

How linking web search functions to conversational models bypasses basic training data cut-offs.

#4 about 2 min

Changing SEO metrics from traffic to brand visibility

Why tracking direct site clicks fails when AI models summarize complex research locally.

#5 about 2 min

Connecting organizational silos for generative engine optimization

How fractured teams must combine marketing and PR content to uniformly feed AI engine inputs.

#6 about 3 min

Monitoring visibility and shifting from keywords to prompts

How replacing two-word keywords with conversational prompts aligns better with long-form AI queries.

#7 about 3 min

Optimizing for AI citations instead of direct traffic

Why prioritizing third-party informational sources generates more trustworthy citations than heavily edited internal company sites.

#8 about 1 min

Identifying technical hurdles with aggressive AI web crawlers

How strict server-level automated bot protections mistakenly block discovery from major generative AI agents.

#9 about 3 min

Leveraging off-page properties to influence generative search

Why optimizing off-page hubs like Wikipedia and news aggregators establishes authoritative brand prominence naturally.

#10 about 2 min

Comparing AI-generated versus AI-assisted content performance

Why curating factual references heavily contextualized by AI models outperforms pure mass page generations.

#11 about 3 min

Analyzing the impact of language and regional localization

How region-specific AI engine behaviors dictate whether translation is required for global brand citations.

#12 about 3 min

Testing schema markup, Markdown, and agent summary files

Why artificial summaries and secondary Markdown domains fail while standard schema data performs well.

#13 about 3 min

Evaluating off-page visibility through YouTube and press releases

How distributing video properties and standard press announcements securely locks a brand into context windows.

#14 about 1 min

Summary of effective generative engine optimization tactics

Why focusing resources on localized language processing and multimedia yields superior immediate search indexing.

#15 about 1 min

Preparing websites for future programmatic autonomous shopping agents

How redesigning application paths prepares online stores for future traffic consisting entirely of autonomous purchasing bots.

Matching moments

10:48 min

Exploring the deterioration of organic search content discovery

Chris Heilmann +4 · LIVE

4:35 min

Impact of artificial intelligence search overviews on publisher revenue

Chris Heilmann +2 · LIVE

3:29 min

Navigating AI search overviews and retrieving traditional results

Chris Heilmann +2 · LIVE

1:24 min

Optimizing job ads for generative engine visibility

Robindro Ullah Robindro Ullah · WWC Europe 2026

6:47 min

Contrasting traditional search indexing with conversational artificial intelligence

Chris Heilmann +1 · LIVE

4:12 min

Using AI models to choose search destinations

Chris Heilmann +2 · LIVE

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