Artefact Northern Europe attended the Semrush Spotlight Event in London, where industry leaders examined the major change currently transforming digital marketing: the evolution from traditional Search Engine Optimisation (SEO) to Brand Visibility in an Agentic World (B2A). As AI answer engines and conversational AI assistants increasingly mediate user discovery, long-term brand growth requires adapting technical, content, and off-site strategies to win across emerging answer engines. We will take you through the main takeaways from the sessions we have followed.
1. The trust mandate: Winning visibility, AI discovery, and executive buy-in in the Answer Engine Era
Answer engine optimization (AEO) marks a fundamental shift from traditional search toward top-of-funnel brand discovery, where AI engines behave like digital billboards that spark longer, multi-prompt user sessions and higher conversion intent. To ensure reliable crawler indexing, brands must maintain rigorous technical baselines by pre-rendering JavaScript, regularly updating sitemaps, implementing schema markup, reducing click depth, and auditing log files for crawler citation attempts. Content strategies need concise, direct answers to buyer FAQs within the first 40 to 60 words while addressing competitor comparisons and product limitations transparently. Furthermore, because on-site claims require external validation, companies must build off-site authority by cultivating a ‘digital chorus’ across social forums, PR outreach, and third-party expert endorsements. Finally, better teamwork between departments requires establishing a Center of Excellence to enforce publishing rules and monitor metrics like mention/citation rates, branded search volume lift, and blended return on ad spend.
2. The future of agentic web & commerce
Adobe is redefining brand visibility and content orchestration for the agentic web, ensuring brands are discoverable, cited, and recommended across conversational AI platforms and LLM searches. Using Heathrow Airport as a case study, the presentation demonstrates how brands can deploy interactive LLM apps directly within conversational interfaces like ChatGPT, allowing travellers to complete real-time actions, such as booking Fast Track security, without leaving the chat interface.
Beyond conversational discovery, Adobe’s agentic content management system tracks critical AI search KPIs like visibility scores, citations, and mentions, while using AI to create web pages that adapt to customers that automatically adapt content to specific customer intents while adhering to strict brand governance.
3. The enterprise reset: What marketing leaders are changing now
As marketing leaders reflect on the changing landscape of enterprise marketing, it is clear that we are undergoing a fundamental shift from traditional search engine optimisation to brand visibility in an agentic world (B2A). Because up to 85% of AI-cited content originates offsite, spanning review sites, social channels, and third-party platforms beyond our owned websites, brands can no longer rely solely on optimizing owned web pages.
Instead, the priority is establishing clear brand differentiation and generating original, verifiable data so organisations are consistently selected by both human consumers and AI agents. Ultimately, winning in this new era is not merely a marketing campaign; it requires a total business transformation that breaks down barriers between senior management teams across marketing, technology, and finance to build a dynamic, data-driven operating model.
4. The transformation gap: How to make marketing changes stick at global scale
To successfully bridge the transformation gap and make global marketing changes stick, organisations must shift focus from what technology can do to how cross-functional teams execute together. Achieving scalable impact requires breaking through executive silos to forge active partnerships across marketing, IT, finance, and product leadership through a collaborative ‘Phase Zero’ where teams co-create problem frameworks, acknowledge capability gaps, and share ownership.
Central to putting AI into practice effectively is establishing human-centered guiding principles, placing employees at the decision-making center, redesigning workflows rather than merely layering tools, reserving human judgment for high-stakes decisions, measuring business value over activity, and advancing together as an organization. By cultivating psychological safety to address workforce concerns and systematically mapping initiatives by risk and readiness, global enterprises can transform operational complexity into tangible value, including up to 75% total cost of ownership reductions in data management, 34% faster turnaround in backstage operations, and 80% time savings in content production.
5. When the click disappears: How do you create demand without website traffic?
As organic search traffic to websites declines despite growing search volumes, zero-click AI overviews and conversational assistants directly fulfill user intent on search pages. Although referral traffic from AI platforms like ChatGPT cannot yet fully offset total organic search volume losses, visitors arriving from AI channels demonstrate significantly higher purchase intent and conversion rates because they arrive already informed.
Crucially, ChatGPT’s algorithm underwent a major shift on August 9th by moving away from user-generated content (such as Reddit and community forums) toward heavily prioritizing authoritative corporate and vendor websites as primary cited sources. To create demand when website traffic disappears, marketing strategies must pivot from legacy top-of-funnel keyword SEO toward building brand authority, securing top-three positions in third-party category listings, and publishing unique, structured data that AI engines reliably cite when guiding purchase decisions.
6. From AI visibility to business action: How enterprise brands measure, diagnose, and win
In the analysis of enterprise AI visibility, winning in modern search requires moving beyond an isolated website perspective and recognizing that there is no single, AI search engine. Each large language model (LLM) operates with distinct citation behaviours, sources, and audience demographics, meaning that consumer purchasing decisions are now forged far up-funnel across a complex web of PR, news coverage, third-party review sites, and deep, interactive LLM research sessions long before a user ever lands on a company’s website.
AI Visibility & The Multi-Channel Consumer Decision Journey is capturing these highly educated, high-converting buyers requires a coordinated multi-channel framework. Rather than attempting to tackle every platform simultaneously, brands must foster better teamwork between departments between PR, SEO, and social teams, enforce strict content hygiene by clearing outdated or inaccurate information from owned domains, and systematically optimize for the key authority sources that drive citations in their specific category and region.
7. Trust signals in the AI Era: What still matters when models mediate discovery
In advising brands on search quality and algorithmic performance, establishing genuine trust, at the core of Google’s E-E-A-T framework (Experience, Expertise, Authoritativeness, and Trustworthiness), remains the single most vital factor for sustaining visibility across both traditional organic search and modern AI search platforms. Good SEO is fundamentally good Generative Engine Optimization (GEO). Because LLMs like ChatGPT and Google AI Overviews rely directly on web indexing and search grounding to retrieve up-to-date information, sites penalized for manipulative tactics, such as scaled AI content abuse, doorway pages, unmoderated user content, or deceptive self-promotional listicles, inevitably suffer severe drops in AI citations and recommendations.
As AI search systems evolve, their retrieval mechanics increasingly rely on ‘query fan-out’ processes that favor well-known, authoritative entities established in training data and official brand sources over hyper-optimized commodity content. To maintain long-term search authority in this landscape, organisations must prioritize human expertise, rigorous manual fact-checking, brand transparency, and original research over automated shortcuts.
