Key Takeaways
- 43% of Google AI Overviews now link to Google-owned pages, meaning traditional SEO metrics like organic traffic, pageviews, and CTR from SERPs are becoming unreliable indicators of brand visibility.
- CMOs must shift budget from keyword-driven blogs and backlinks toward structured content with schema markup, thought leadership at scale, user-generated content, and first-party data analytics optimized for AI citation.
- The new KPIs for AI-era marketing are share of summary in AI responses, branded search volume, engagement across expert channels, and referral rate from curated sources rather than raw organic traffic.
Summary
AI is changing the way customers search, decide, and trust brands. Traditional SEO (Search Engine Optimization—improving website visibility in organic search results) is no longer enough, with LLMs like ChatGPT and Google's AI Overviews pulling answers straight from the web—often without crediting the original site.
This executive briefing outlines what CMOs must do now: reset outdated KPIs, reallocate budget to AI-friendly strategies, and evolve brand positioning for a world where being summarized is better than being searched . Real-world brand examples and fCMO insights included.
Marketing leaders have always had to adapt. But rarely has the landscape changed this quickly—or this fundamentally. With Google’s AI Overviews rolling out and LLMs like ChatGPT, Claude, and Perplexity becoming the go-to interface for information, the concept of search has changed.
In fact, 43% of Google’s AI Overviews now link to Google-owned pages . The game has changed. This isn’t an SEO problem—it’s a brand strategy problem.
Search Isn’t Dead—But Traditional KPIs Are Most scaling brands are still tracking: Organic traffic Pageviews Bounce rates CTRs from SERPs But what happens when your best-performing blog no longer gets surfaced? Instead, marketing leaders must begin tracking visibility within AI ecosystems , including: Share of summary – how often your brand, products, or data show up in AI-generated responses Direct traffic and branded search volume – key proxies for recall and trust Engagement across expert channels – podcast listens, webinar signups, long-form social interaction Referral and mention rate from curated sources – niche media and user-generated content It’s not about driving users to your site.
It’s about making your brand unavoidable across LLM-powered discovery.
Where to Reinvest
Smarter Budget Allocation in an AI World Old strategy: 60% of budget into SEO blogs, backlinks, and keyword-driven content New strategy: Budget allocation should now prioritize AI-native content and infrastructure: 1. Structured Content + Technical SEO Use schema markup (FAQ, HowTo, Product) so AI models can "read" and repurpose your site Organize content into clear, answer-based formats Tag and source your data and stats so LLMs can cite you properly 2.
Thought Leadership at Scale Turn your founder’s POV into LinkedIn posts, podcasts, video clips Publish insights that are quotable and referenceable Don’t just write —speak, appear, and collaborate across platforms AI pulls from 3. User-Generated Content and Community Encourage customers to post how they use your product Create incentivized campaigns for creators, customers, or employees to post stories Build branded forums or Reddit-style threads that AI models mine for “authentic” voice 4.
First-Party Data and AI-Optimized Analytics Centralize your content, CRM (Customer Relationship Management—software that tracks interactions with prospects and customers), and performance data so your team knows what actually gets surfaced in summaries Audit what content is being “borrowed” by AI (tools like Perplexity and AlsoAsked help) Pro Tips: How to Stay Visible Run an “AI Audit” : Ask ChatGPT, Perplexity, and Google Overviews questions your customers would. Do you show up?
Own Your Category
If you’re a D2C (Direct-to-Consumer—selling products directly to end customers without intermediaries) cookware brand, be the cited expert on sustainability, recipes, or performance.
Shift team KPIs
Set internal goals not around traffic, but topical authority , content sourcing, and quote frequency. Train your team to write in LLM-digestible formats: short paragraphs, strong sources, contextual phrasing. This isn’t just a content marketing adjustment—it’s a strategic repositioning moment.
Brands that treat this as a temporary dip will fall behind. Those who invest in AI-native brand visibility will own the next era of digital trust. CEOs need to act fast—before the boardroom starts asking, "Why is our traffic down and leads slowing?
" Sources: WSJ: https://www. wsj. com/articles/ai-has-upended-the-search-game-marketers-are-scrambling-to-catch-up-84264b34?
mod=cmo-today_lead_pos2 Search Engine Journal: https://www. searchenginejournal.
Frequently Asked Questions
- How are LLMs changing the way customers discover brands?
- LLMs like ChatGPT, Claude, and Perplexity now pull answers directly from the web and present them in conversational summaries, often without linking to or crediting the original source. Combined with Google AI Overviews where 43% of links point to Google-owned pages, customers increasingly find brands through AI-generated responses rather than clicking through traditional search results.
- What marketing KPIs should replace traditional SEO metrics?
- Marketing leaders should track share of summary (how often your brand appears in AI-generated responses), direct traffic and branded search volume as proxies for recall and trust, engagement across expert channels like podcasts and webinars, and referral or mention rate from curated niche sources. These replace outdated metrics like organic traffic, pageviews, bounce rates, and SERP click-through rates.
- How should CMOs reallocate marketing budget for AI search?
- Budget should shift from keyword-driven SEO blogs and backlinks toward four priorities. First, structured content with schema markup (FAQ, HowTo, Product) so AI models can parse and cite your site. Second, thought leadership at scale through LinkedIn posts, podcasts, and video clips. Third, user-generated content and community building that AI models mine for authentic voice. Fourth, first-party data and AI-optimized analytics to track what content actually gets surfaced in AI summaries.
- What is an AI audit and how do you run one?
- An AI audit involves asking ChatGPT, Perplexity, and Google AI Overviews the same questions your customers would ask, then checking whether your brand appears in the responses. This reveals gaps in AI-native visibility and helps identify which content formats, topics, and sources are being cited by LLMs versus ignored.
- Why is this an existential brand strategy problem not just an SEO problem?
- When AI models summarize information without surfacing your website, traditional traffic-based marketing breaks down entirely. Brands that treat this as a temporary SEO dip will fall behind, while those that invest in AI-native brand visibility through structured data, thought leadership, and community content will own the next era of digital trust and become the default cited source in their category.
- What does it mean to own your category in AI search?
- Owning your category means becoming the default cited expert that LLMs reference when answering questions in your niche. For example, if you are a D2C cookware brand, you should be the authority AI models cite on sustainability, recipes, or performance. This requires writing in LLM-digestible formats with short paragraphs, strong sources, and contextual phrasing that AI can easily extract and attribute.
If this resonated, we help growth-stage companies turn strategy into execution. Learn how a fractional CMO works or start a conversation.
Irene Elliott is the founder and fractional CMO at i.e. With 15+ years scaling brands internationally and 200+ campaigns delivered, she brings senior marketing leadership to growth-stage companies without the full-time cost.
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