Understanding AI's impact on search is one thing. Knowing exactly what to do about it — in your own content, on your own site — is another. This guide is about the second part: specific, actionable AI SEO optimisation tactics you can implement now.
Tactic 1: Implement Comprehensive Schema Markup
Schema markup (structured data) is the clearest signal you can give to AI systems about your content. Google's AI uses schema to understand entity relationships, content type, and information hierarchy.
Priority schema types for AI visibility:
- FAQPage schema — Mark up your FAQ sections with Question and acceptedAnswer properties. Google uses FAQ content heavily in AI Overviews
- Article schema — With author, datePublished, dateModified, and publisher — signals freshness and authority
- HowTo schema — For step-by-step content, marks up individual steps for AI to extract and present
- LocalBusiness schema — Essential for local businesses; helps AI understand your physical presence, hours, and service areas
- Person schema — Links your author identity to your published content, supporting E-E-A-T signals
Validate all schema at schema.org/validator and Google's Rich Results Test to ensure it's correctly implemented.
Tactic 2: Write for the "Snippet First" Principle
AI systems extract answers from content. They don't read your full article — they pull the most relevant passage for each question. Structure your content to make extraction easy:
- Put the direct answer first — immediately after a heading, before examples and qualifications. "The average cost of website design in Kerala is ₹20,000–₹80,000 for a business site" as the first sentence after an H2, not buried in paragraph 3
- Use consistent Q&A structure — explicit questions as headings (H2/H3), followed by direct, concise answers in the first paragraph
- Keep key facts in standalone sentences — "Kerala has a literacy rate of 96.2%" is more extractable than "With its impressive literacy statistics that place it at the top of India at 96.2%..."
- Use numbered lists for processes — AI systems extract step-by-step content very effectively from numbered lists with HowTo schema
Tactic 3: Build Topical Authority Through Content Clusters
Google's Helpful Content system rewards sites that demonstrate deep expertise in a topic area — not sites that publish randomly on many topics. AI Overviews disproportionately cite topically authoritative sources.
To build topical authority:
- Define your topic pillars — 3–5 core subjects your site will dominate
- Create a pillar page — comprehensive, 3,000+ word overview of each pillar topic
- Build cluster content — 10–20 supporting articles covering specific subtopics within each pillar
- Link systematically — every cluster article links to the pillar; pillar links to all clusters
- Cover the full question landscape — use "People Also Ask" data, Reddit threads, and Quora to identify every question your target audience asks about each topic
Tactic 4: Establish Strong E-E-A-T Signals
Google's E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) framework guides both human quality raters and AI systems in evaluating content credibility. Sites that score high on E-E-A-T are disproportionately cited in AI Overviews.
How to improve E-E-A-T:
Experience: Include first-hand accounts, personal case studies, specific examples from your own work. AI can generate generic information — you can provide experiential specificity it can't.
Expertise: Detailed author bios with credentials, specialisations, and links to other published work. Schema markup linking content to authors as named entities.
Authoritativeness: Links from credible sites in your industry, mentions in credible publications, being cited as a source by other respected content.
Trustworthiness: HTTPS, clear privacy policy and terms, accurate contact information, physical address for local businesses, consistent NAP data across web, no misleading claims.
Tactic 5: Optimise Existing Content for AI Extraction
You don't need to only create new content — optimising existing content for AI visibility can be faster and deliver quicker results:
- Audit for AI Overview appearances: Search your core keywords in Google and note which of your pages appear (or don't appear) in AI Overviews. This identifies your highest-priority optimisation targets
- Add FAQ sections to top pages: Add 5–8 Q&A pairs with FAQPage schema to your most-visited pages
- Refresh statistics: AI systems prefer recent data. Update stats, change dates, and add new research to keep content current
- Add definition sections: "What is [term]?" sections with crisp, accurate definitions are highly cited in AI Overviews
- Improve heading structure: Ensure your H2/H3 hierarchy maps clearly to topics and subtopics, not just for aesthetics
Tactic 6: Target Long-Tail Conversational Queries
AI search has accelerated the shift to conversational, long-tail queries. Users are increasingly typing full questions ("what is the best SEO strategy for a small restaurant in Kerala") rather than abbreviated keywords ("Kerala restaurant SEO").
Long-tail conversational queries typically have:
- Lower search volume individually but higher intent and conversion rate
- Lower competition — fewer sites have created content specifically targeting them
- Higher likelihood of triggering AI Overviews — where you could be the sole citation
Use tools like AlsoAsked, AnswerThePublic, or simply the "People Also Ask" section on Google to map the full conversational query landscape for your topics.
Tactic 7: Diversify Beyond Google
AI search is no longer just Google. Perplexity has grown to handle millions of searches daily; Bing Copilot has meaningfully increased Microsoft's search share; ChatGPT search is used by a significant and growing segment of tech-savvy users.
To be visible across AI search platforms:
- Bing Webmaster Tools — submit your sitemap and verify your site, as Bing powers Copilot
- Be consistently citable — factual accuracy, citations, and authority matter equally across platforms
- Build brand recognition — users who know your brand are more likely to seek you out specifically in AI search results
Tactic 8: Technical AI Readiness Audit
Ensure Google's AI can properly access and understand your site:
- JavaScript rendering: Content loaded by JavaScript may not be fully processed by AI. Use SSR (server-side rendering) or ensure critical content is in the initial HTML response
- Crawlability: Check robots.txt isn't inadvertently blocking important content. AI Overviews can't cite pages Google hasn't indexed
- Page speed: Slow pages get crawled less frequently. Core Web Vitals scores of "Good" ensure your content is regularly refreshed in Google's index
- Internal linking: AI systems discover content through links. Orphaned pages (no internal links) are rarely cited in AI Overviews
Frequently Asked Questions
How do I optimise for Google's AI Overviews?
To rank in Google's AI Overviews: (1) Create authoritative, well-structured content with clear Q&A sections; (2) Implement FAQ schema and Article schema; (3) Include specific facts, statistics with sources, and definitive statements; (4) Build domain authority through quality backlinks; (5) Ensure strong E-E-A-T signals. Paywalled or no-index content is excluded from AI Overviews.
What is Answer Engine Optimisation (AEO)?
AEO is the practice of structuring content to be chosen as the answer by AI systems — Google AI Overviews, Bing Copilot, Perplexity, ChatGPT search. Key AEO tactics include Q&A content structure, comprehensive topic coverage, structured data markup, authoritative factual content, and entity-based writing that helps AI systems understand who you are and what you know.
Does AI hurt traditional SEO?
AI has changed but not killed traditional SEO. Informational query traffic has decreased for some sites due to zero-click AI Overviews. But transactional and commercial queries — where people want to compare options and make decisions — still drive meaningful click-through traffic. Businesses with strong SEO authority are generally resilient.