How to Rank on Google and AI Search Engines

Understanding how AI search differs from conventional search

How to Rank on Google and AI Search Engines: This guide walks you through strategies to rank on major traditional search engines—Google, Yahoo and Bing—as well as AI‑powered engines like ChatGPT, Meta AI and other generative platforms. Understanding these differences is the first step to optimising your site for both worlds.

Key Takeaways

• AI search engines compile information from multiple sources and reward comprehensive, trustworthy content.
• Use Generative Engine Optimisation (GEO) to increase your chances of being cited by AI tools.
• Focus on Core Web Vitals, mobile‑friendly design, structured data and E‑E‑A‑T to maintain high rankings on traditional search engines.
• Leverage AI tools for keyword planning, content creation and analytics—but always add human insight.
• Monitor new metrics such as zero‑click visibility and AI brand mentions to measure success in AI search.

Understanding how AI search differs from conventional search

Search engines and AI‑powered answer engines behave differently and reward different signals. Conventional SEO aims to rank pages in a list of links, whereas AI search engines compile information from multiple sources and return a single answer, often without a click. This fundamental difference changes user behaviour: traditional searchers often type short, keyword‑driven queries; AI search users ask longer, conversational prompts and expect follow‑up questions. In AI search, personalisation and context matter far more, and the model may hold the conversation history across multiple turns.

Because AI answers synthesise multiple sources, appearing as one of the cited sources requires comprehensive, trustworthy content and signals that AI models can easily extract. SEOs should therefore adopt Generative Engine Optimisation (GEO) in addition to traditional SEO. GEO focuses on contextual relevance, intent‑based ranking and personalisation.

Core AI SEO strategies

Keyword & topic research: Traditional keyword research remains important, but AI engines rely less on exact keyword matches and more on context and topic coverage. Use AI tools to discover clusters of semantically related topics and build topic clusters, linking back to pillar pages to signal topical authority.

Content creation with AI assistance: AI tools (e.g. ChatGPT, Gemini) can generate outlines, draft paragraphs and suggest ideas. For deeper guidance on using AI for content, see our AI content creation guide. Always add human expertise, fact‑checking and voice.

Voice search optimisation: AI search queries are often spoken. Voice search queries tend to be longer and conversational and often include intent phrases like “near me” or “how do I”. Optimise by writing FAQs in natural language, including long‑tail questions, and updating local business listings with conversational descriptions.

Schema markup and structured data: Structured data helps both search engines and AI models understand content. Implement JSON‑LD schema for FAQs, products, reviews, events and organisation information. Use it consistently across your site.

Natural language use & conversational tone: AI engines parse natural, conversational language. Avoid keyword stuffing; instead, write in a way humans speak while including synonyms and related phrases.

Generative Engine Optimisation (GEO)

GEO involves tailoring your content to be cited by AI models. Key practices include:

• Contextual relevance: Cover topics comprehensively rather than targeting a single keyword. AI favours content that provides complete context.
• Intent‑based ranking: Understand the range of user intents behind a query and create content that addresses each potential intent (informational, transactional, etc.).
• Personalisation signals: Use data to personalise recommendations where possible (e.g., geo‑targeted content, dynamic content tailored to user segments).
• Cross‑language optimisation: Provide multilingual versions of key pages. AI models can translate content on the fly, but original multilingual content improves accuracy and reach.
• Voice‑friendly content: Ensure content works for voice queries and voice assistants by using natural question‑and‑answer formats and including local references.

Leveraging AI tools for SEO

AI tools can streamline many SEO tasks:

Structured data and entities

Structured data and schema markup act as a bridge between your content and AI/answer engines. Use JSON‑LD or Microdata to label entities such as products, events, organisations and authors. Rich snippets improve visibility and click‑through rates in both conventional and AI search. Represent key concepts clearly, for example by marking a person’s biography with Person, a review with Review, and a recipe with Recipe schema.

Impact of AI on SEO reporting and KPIs

AI‑driven search changes how success is measured. Traditional metrics like rank positions and overall organic traffic still matter, but AI introduces new metrics:

• Zero‑click visibility: AI answers may satisfy the query within the interface, reducing clicks. Instead of focusing solely on click‑through rate, track whether your brand is cited in AI answers.
• Brand mentions in AI responses: Monitor how often your brand appears in AI responses. A high share of voice in AI answers is analogous to ranking highly in SERPs.
• On‑page engagement signals: Dwell time, scroll depth and user engagement on pages become more important as AI models incorporate user behaviour signals into ranking algorithms.
• Conversions and leads: AI‑driven traffic may be lower but more targeted; measure conversion rate rather than sheer volume.

Essential SEO fundamentals often overlooked

Technical SEO and performance

Core Web Vitals 2.0: Google’s March 2024 core update emphasised new performance metrics like Interaction to Next Paint (INP) and Time to First Byte (TTFB) in addition to Largest Contentful Paint (LCP), First Input Delay (FID) and Cumulative Layout Shift (CLS). Compressing images, using a content delivery network and regularly auditing with PageSpeed Insights are essential for good scores. Our SEO benefits guide discusses the importance of technical SEO and site speed.

Mobile‑first indexing: Google evaluates pages primarily through their mobile version. Optimise for mobile with thumb‑friendly navigation, simplified forms and click‑to‑call buttons. For inspiration, see our web design services page, which emphasises responsive, mobile‑friendly design.

Crawlability and indexability: Ensure critical content is accessible to both traditional search bots and AI crawlers. Avoid heavy client‑side rendering; serve important content in static HTML because some LLMs don’t render JavaScript. Submit XML sitemaps and monitor crawl errors. For a quick evaluation of your site’s performance and meta tags, use our free SEO audit tool.

Content quality, E‑E‑A‑T and people‑first principles

Google’s guidance emphasises experience, expertise, authoritativeness and trustworthiness (E‑E‑A‑T). Include author bylines, bios and evidence of expertise. Be transparent about AI assistance by disclosing how content was generated.

Topic clusters and semantic architecture

Modern search engines reward comprehensive coverage of a subject rather than isolated keyword pages. Build pillar pages that broadly cover core topics and link to in‑depth cluster pages. This structure signals topical authority and helps both search engines and users navigate your site. When removing or consolidating outdated pages, follow the steps in our content consolidation guide to merge and redirect content correctly.

Backlink and mention strategies

While AI models don’t use PageRank exactly like conventional search, citations and mentions across authoritative sources still influence AI responses. Build backlinks through quality guest posts, PR and partnerships. Maintain an active presence on community sites (e.g., Reddit) because AI training data gives significant weight to these sources. Collecting first‑party data through newsletters and loyalty programmes helps personalise outreach and build trust.

Video, visual and voice content

Video content is no longer optional; Google now shows more video results. Optimise video titles, descriptions and transcripts with keywords. Similarly, visual search tools like Google Lens are mainstream; use high‑quality images with descriptive alt text. Voice search continues to grow; answer common conversational questions and update your business profiles accordingly.

Local and hyperlocal SEO

For businesses with physical locations, hyperlocal content wins. Create pages that reference neighbourhood landmarks and events; search engines reward genuinely local content. Optimise your business profile with up‑to‑date hours, services and FAQs. If your business is local to Atlanta, our SEO services page provides more detail on local optimisation.

Privacy‑first and first‑party data

With third‑party cookies fading, collecting first‑party data through newsletters, loyalty programmes or calculators is crucial. Transparent privacy policies and value‑driven lead magnets build trust and align with user expectations. Combine this with community engagement on forums and social platforms to expand your reach.

Controlling AI crawlability and the llms.txt standard

Generative engines crawl the web using their own bots. Controlling which parts of your site they can access is becoming possible through an emerging llms.txt standard. To implement:

1. Create a plain‑text file named llms.txt in your root directory.
2. Specify directories or URLs to allow or disallow. For example:

   Allow: /blog/*
   Allow: /resources/*
   Disallow: /private/*
   Disallow: /internal/*
       

3. Reduce heavy JavaScript reliance because many AI crawlers only process static HTML.
4. Audit your site’s AI crawlability using emerging tools and adjust as standards evolve.

Balanced human‑AI collaboration and transparency

Successful content strategies combine AI efficiency with human oversight. Most marketers use AI to scale content production while humans refine and fact‑check. Transparency about AI usage is vital; users prefer AI involvement to be disclosed. Failing to disclose AI usage can harm trust.

Monitoring and measurement

New metrics and tools are needed to track AI search performance:

• AI mention tracking: Use specialised tools to monitor how often your brand is cited in AI responses.
• Zero‑click engagement: Assess how your content performs when users don’t click through but still see your brand in AI answers.
• Competitive positioning: Monitor how competitors are represented in AI answers to identify opportunities.
• Regular technical audits: Evaluate Core Web Vitals, crawlability and schema implementation quarterly.

Final Thoughts on Ranking in AI & Conventional Search

Optimising for conventional search remains essential—fast, mobile‑friendly pages, robust internal linking, quality backlinks and clear topical structure create a foundation for success. AI‑driven search adds new layers: conversational queries, personalised answers and zero‑click experiences. To thrive in this evolving landscape, combine traditional SEO best practices with Generative Engine Optimisation techniques, use structured data, produce people‑first content with strong E‑E‑A‑T signals and adopt emerging standards like llms.txt to manage AI access. Monitor both conventional metrics and AI‑specific metrics to refine your strategy.

Call to action: If you’d like a personalised assessment of your site’s search readiness, request your free SEO audit or contact us for a consultation.