Observed Signal · Aug 3, 2026 · Opinion Column · Source: Horizont · Impact: 2/5 · Sentiment: Neutral
GEO writes a brand's elevator pitch without briefing
Iris Heilmann, managing director and co-owner of agency Palmer Hargreaves and a GWA board member, argues that brands cannot permanently present a more favourable narrative to AI systems than their actual behaviour warrants. In her first Talking Heads column she says corporate behaviour should not be treated as a downstream reputation issue and recommends that companies perform a brand audit addressing a dual layer — humans and machines — to prepare for Generative Engine Optimization (GEO). The article notes the industry conversation around GEO touches on FAQ pages, grounding pages and structured data for AI discovery and visibility.
Provides agency-level guidance on preparing brands for GEO and AI-driven discovery; useful industry commentary but not a platform policy change or technical release.
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Key Takeaways & Evidence Grounding
- Iris Heilmann is Managing Director and co-owner of the agency Palmer Hargreaves.
- Iris Heilmann serves as a board member of GWA.
- Heilmann argues that corporate behaviour cannot be treated as merely a downstream reputation issue when interacting with AI systems.
- She recommends companies perform a brand audit that addresses a dual layer: human audiences and machine/AI systems.
- The marketing industry is actively discussing Generative Engine Optimization (GEO), including FAQ pages, grounding pages, and structured data.
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Generative Engine Optimization (GEO) Exposes Business Silos
Fiona McKenzie of Marketbridge argues that generative engine optimization (GEO) is not merely a marketing task but a lens that exposes organizational silos and inconsistent external signals shaping brand representation in AI/LLM-driven responses. Based on a breakfast briefing with senior marketing, digital and content leaders, the column highlights that AI engines pull from earned media, analyst commentary, reviews, forums, social platforms, product documentation and customer conversations, meaning sales, product, customer service, PR and leadership all influence how a brand is interpreted. The piece stresses measurement (e.g., share of search, share of voice, sentiment) and cross-functional alignment as priorities for brands responding to GEO.
GEO Fails Due to Org Structure, Not Technology
The article argues that Generative Engine Optimization (GEO) is repeatedly set up to fail because companies place it within SEO teams, measure it with SEO performance metrics, and allocate the wrong budgets. GEO behaves like a brand/earned-media channel: appearing in AI answers yields awareness but few direct clicks, so it requires Brand/PR ownership, entity consistency across third-party sources, and different KPIs with longer time horizons. The author recommends practical GEO metrics (Citation Rate, Share of Voice in AI responses, AI-referred traffic in GA4) and tools (Otterly.AI, Peec AI, Rankscale, Bing Webmaster Tools’ AI dashboards). Organizational changes are urged—budget reallocation, clear responsibility across SEO/Brand/PR, and entity maintenance—to prepare for agentic AI workflows that will use the same data pools to shortlist vendors.
GEO Requires Cross‑Functional Coordination, Not More Content
The article argues that Generative Engine Optimization (GEO) is primarily a coordination challenge rather than a tooling or pure-content problem. Generative systems aggregate signals across content, source context, technical readability, brand profile and product information; inconsistencies across these signals produce unclear or contradictory AI overviews. Brands should treat Paid, Owned, Earned and Shared (POES) as a single, aligned system, use shared narratives to avoid semantic breaks, and measure impact with both platform KPIs and cross-channel effect models (e.g., MMM). Practical tactics discussed include chunking content, curated top lists, and optimizing platform-specific text signals (descriptions, transcripts). The piece cites Roland Eisenbrand (OMR) saying roughly 265 million organic clicks are lost monthly in Germany and lists GEO KPIs such as Visibility Score, Mention-to-Citation ratio, Narrative Accuracy, Entity Assignment, Tonality, AI Referral Traffic, conversion rate and ROI.
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