SEO Strategy for AI Agentic Search: 2025 & Beyond

SEO Strategy for AI Agentic Search: 2025 & Beyond

Emilie Scott
Ryan Murray Analytically-Driven Advertising and Technology Expert | Media and Innovation for Apple  at OMD

July 15, 2025

I. The Meteoric Rise of AI Agentic Search

Online user discovery is rapidly shifting towards AI chatbots like ChatCPT, Gemini, Grok, Claude, and others. These systems are capable of processing conversational language, inferring context, and completing tasks with a high level of accuracy. Specifically, Gartner Research has predicted a fundamental 25% reduction in traditional Search Engine query volume (by 2026), while the agentic AI market is projected to grow from $28B in 2024 to $127B by 2024. With this seismic shift to ‘zero click searches’ on AI overviews, brands must shift the focus of their SEO efforts: from driving clicks to becoming authoritative sources within AI citations.


II. The Three ‘Cs’ of AI-Optimized SEO: Credibility, Crawlability, Conversation

A. Credibility

E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is a primary filter for AI models (particularly Google) when they are scoring content credibility. This is especially relevant due to modern concerns surrounding misinformation, disinformation and low quality AI generated content. Direct, first-hand knowledge from a human reviewer, along with fact-checking, and enhancement are crucial to meet E-E-A-T standards and avoid penalties. AI agents will increasingly rely on these human-centric signals to prioritize trustworthy sources.


E-E-A-T Tenet

Actionable Steps

Experience

Showcase case studies and testimonials

Document hands-on experience through videos and podcasts on site

Encourage and display reviews from Google Business, Yelp, and others

Expertise

Post content from credentialed experts

Create deep-dive guides, whitepapers in a ‘resource hub’

Regularly update content for relevance & accuracy

Authoritativeness

Build quality backlinks from media coverage and guest posts

Maintain professional social profiles (Google, Yelp, LinkedIn, Meta, X, etc.)

- Ensure consistent branding across all online activity

Trustworthiness

Be sure to make your site secure (HTTPS)

Display author bios & sources for all content, ensuring rigorous fact checking

Have transparent privacy/data policies & contact info


B. Crawlability

The technical infrastructure of your site is vital for AI discovery. The two most important aspects are: 

JSON-LD (JavaScript Object Notation for Linked Data)

Structured data is crucial for AI’s semantic understanding of content, which powers AI Overviews and summaries. A detailed schema markup provides a precise understanding of content relationships; think of this as a knowledge graph that AI agents use to link together relevant information. Particularly for local visibility, updating business profiles on Google and Yelp are crucial.

Site Speed & Mobile Responsiveness

Equally as critical as above are fast loading times, responsiveness, and visual stability. Slow pages won't be featured in AI Overviews, as AI agents have strict information retrieval timeouts (typically between 1-5 seconds). Sites should be built mobile-first, due to user preference for mobile as well as Google’s indexing methodology preferring these devices over desktop.

C. Conversation

Content must be conversational, multi-modal (diverse formats like text, images, audio, video), and human-centric. In short, the content on your site should mirror the ways that humans interact and share information with each other on the internet, while directly addressing the user’s query.

Natural Language & Conversational Queries

Content should be concise and follow natural human speech/writing patterns. If possible, structure your site’s information in a Q&A format with direct answers (40-50 words) to increase your probability of appearing in AI overviews and voice search.

Multi-Modal Content

Google's Agentspace processes text, images, charts, video, and audio. The weighting of each element will depend on the user’s query (i.e. for a query like "how to fix a leaky faucet," a video tutorial might be weighted much more heavily than a detailed text article without visual aids). Design your site’s written content to integrate voice and visual elements seamlessly.

Quality, Originality, and User Intent Fulfillment

Ensure your site’s content is accurate, organized, and up-to-date so it is relevant and useful to users.


III. Shifting from Traditional KPIs to AI-Native Metrics

Established performance metrics, such as keyword rankings, organic traffic, CTR are decreasing in relevance, as AI search agents provide users their answer, without the need for rankings or clicks. Below are some common current SEO KPIs and their AI-Native counterparts:

Traditional KPIs

AI-Native KPIs

Explanation of Shift

Organic Traffic

Answer Visibility

Focus shifts from total website visits to appearing in AI Overviews and direct answers, even without clicks

Keyword Rankings

User Intent Fulfillment

Move from ranking for keywords to user content satisfaction across AI and SERPs, regardless of position

Click-Through Rate (CTR)

Brand Recall & Search Volume

Measures how many users search for your brand after encountering content via AI, rather than just click-throughs from SERPs

Bounce Rate / Session Duration

Engagement Quality & Depth

Focuses on deeper interactions like scroll depth, video views, and repeat visits, indicating sustained user interest after AI exposure

Backlinks / Domain Authority

On-Platform Credibility & Reference- ability (AI Citations)

Measures how often a brand is cited by AI tools, mentioned on conversational platforms like Reddit, and referenced in structured datasets, beyond traditional link building

Conversions (Last-Click Attribution)

Multi-Touch Attribution

Attributes value to AI-driven visibility, even if it's not the last click before conversion.

 

Measuring these KPIs requires advanced analytics, such as programs like ‘Semrush’, to capture AI traffic, simulate content retrieval, and monitor brand mentions across LLM platforms.


IV. What next steps can you take to optimize your website for the shift to AI search?

Prioritize E-E-A-T Across All Content

Demonstrate your real-world experience, expertise, authoritativeness, and trustworthiness. AI use in content is acceptable, as long as it is thoroughly reviewed by a human expert.

Implement Comprehensive Structured Data & Knowledge Graph Optimization

Utilize JSON-LD and a detailed site schema  (i.e. Organization, FAQ Pages) to explicitly define content context for AI agents. Optimize your Google Business Profile, Yelp pages etc. to ensure consistent branding across external discovery sites and apps. 

Optimize for Conversation and Multi-Modal

Use Q&A formats and conversational keywords. Integrate high-quality text, visuals, and audio/video into all content pages.

Ensure High Quality UX

Ensure lightning-fast site speed and impeccable mobile responsiveness, as AI agents may bypass slow sites.

Analyze New AI-Native KPIs

Shift focus from traditional metrics to AI-focused success metrics

Invest in AI Tools for Strategic Advantage

Leverage AI-powered platforms for advanced keyword research, content ideation, automated site audits, and predictive analytics. Explore enterprise AI agent hubs (i.e. Google Agentspace) to optimize workflows and data utilization.