How does AI affect SEO in 2025?

AI affects SEO in 2025 primarily through AI-generated search results (like Google AI Overviews), personalized ranking algorithms, and the rise of answer engines such as ChatGPT Search and Perplexity. Websites must now optimize for both traditional search crawlers and large language models to maintain visibility.

What is LLM SEO and why does it matter?

LLM SEO (Large Language Model Optimization) is the practice of making your content discoverable and citable by AI assistants like ChatGPT, Gemini, and Perplexity. It matters because an increasing share of informational queries are being answered by these tools, and brands that are cited by LLMs gain significant authority and traffic.

Are traditional SEO techniques still relevant in 2025?

Yes, traditional SEO techniques like keyword research, technical optimization, quality backlinks, and user experience remain foundational. However, they must be complemented by AI-centric strategies such as structured data markup, entity-based content, and topical authority building to compete effectively.

AI and SEO: How Search Engines Are Evolving in 2025

The AI Revolution in Search: Why 2025 Is a Turning Point

The relationship between artificial intelligence and search engine optimization has never been more intertwined—or more consequential. In 2025, AI is no longer a background technology quietly improving search algorithms. It’s now the interface itself, generating answers, summarizing content, and reshaping the way billions of users interact with information online.

For businesses, marketers, and web professionals, this shift demands a fundamental rethink of SEO strategy. The playbook that worked in 2022 is already outdated. The one from 2020? Practically ancient.

Let’s break down exactly what’s changed, what’s coming, and how to adapt.

Google’s AI Overviews: The New Gatekeeper

What Are AI Overviews?

Google’s AI Overviews (formerly known as the Search Generative Experience or SGE) rolled out broadly in 2024 and have become a dominant feature in 2025. These are AI-generated summary panels that appear at the top of search results for a wide range of queries—informational, commercial, and even transactional.

According to data from BrightEdge and Semrush, AI Overviews now appear in approximately 30–40% of all English-language search queries. For informational queries (“how to,” “what is,” “best way to”), that figure jumps above 60%.

The Impact on Click-Through Rates

The most immediate consequence? Fewer clicks to websites.

A study by Rand Fishkin’s SparkToro in early 2025 found that zero-click searches—queries where the user gets their answer without visiting any website—now account for nearly 65% of all Google searches. AI Overviews are accelerating this trend.

Here’s how click distribution has shifted:

Metric	2023	2025
Zero-click searches	~50%	~65%
Clicks to organic results (page 1)	~35%	~22%
Clicks to paid ads	~10%	~9%
Clicks from AI Overview citations	N/A	~4%

This doesn’t mean SEO is dead—far from it. But it means the nature of visibility has changed. Being cited inside an AI Overview is becoming as valuable as ranking #1 organically.

How to Get Cited in AI Overviews

Google’s AI Overviews pull from indexed web pages, favoring content that:

Directly answers specific questions in concise, well-structured paragraphs
Uses structured data (FAQ schema, HowTo schema, Article schema)
Demonstrates E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)
Covers topics comprehensively with clear headings and logical hierarchy
Is technically sound — fast, mobile-friendly, crawlable

At Lueur Externe, we’ve been tracking AI Overview citation patterns across client sites since mid-2024. One consistent finding: pages with robust FAQ sections, clear definition blocks, and structured data markup are cited at 3–5x the rate of pages without them.

The Rise of Answer Engines: Beyond Google

ChatGPT Search, Perplexity, and Gemini

2025 is the year search became multi-platform in a way it hasn’t been since Google overtook Yahoo in the early 2000s. Users are increasingly turning to:

ChatGPT Search (OpenAI) — now integrated into the default ChatGPT experience with real-time web browsing
Perplexity AI — a dedicated answer engine with growing market share, especially among researchers and professionals
Google Gemini — Google’s own conversational AI, separate from but complementary to traditional search
Microsoft Copilot — Bing-powered AI integrated into Windows, Edge, and Microsoft 365

According to Similarweb, Perplexity alone saw a 400% increase in monthly active users between Q1 2024 and Q1 2025. ChatGPT’s search feature processes an estimated 500 million+ queries per week.

What This Means for SEO

These platforms don’t use the same ranking algorithm as Google. They’re powered by Large Language Models (LLMs) that select, synthesize, and cite web content differently. This has given birth to a new discipline: LLM Optimization (sometimes called GEO — Generative Engine Optimization, or LLMO).

The core difference?

Traditional SEO optimizes for crawlers, indexing, and ranking signals.
LLM Optimization optimizes for citation probability — the likelihood that an AI model will reference your content when generating an answer.

LLM Optimization: The New SEO Frontier

How LLMs Choose What to Cite

Large language models like GPT-4o, Claude, and Gemini select sources based on a combination of:

Training data prevalence — Was your content in the model’s training corpus? Was it cited by other authoritative sources?
Real-time retrieval ranking — When the model browses the web (RAG — Retrieval Augmented Generation), does your page surface for the query?
Content clarity and structure — LLMs favor content that is well-organized, uses clear headings, and provides direct answers.
Entity recognition — Does your content clearly define and relate to known entities (people, brands, products, concepts)?
Cross-platform authority — Are you mentioned consistently across Wikipedia, industry publications, social media, and forums?

Actionable LLM Optimization Strategies

Here are concrete steps you can implement today:

Build topical authority: Create comprehensive content clusters around your core topics. Don’t publish one article about “e-commerce SEO” — publish twenty interconnected pieces covering every subtopic.
Claim and optimize entity presence: Ensure your brand, products, and key personnel are represented on Wikipedia, Wikidata, Google Knowledge Graph, Crunchbase, and industry directories.
Use structured data aggressively: Implement JSON-LD schema markup on every key page. Here’s a practical example:

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "AI and SEO: How Search Engines Are Evolving in 2025",
  "author": {
    "@type": "Organization",
    "name": "Lueur Externe",
    "url": "https://www.lueurexterne.com"
  },
  "datePublished": "2025-07-14",
  "description": "An in-depth guide on AI-driven search evolution and modern SEO strategies.",
  "mainEntityOfPage": {
    "@type": "WebPage",
    "@id": "https://www.lueurexterne.com/blog/ai-seo-2025"
  },
  "publisher": {
    "@type": "Organization",
    "name": "Lueur Externe",
    "logo": {
      "@type": "ImageObject",
      "url": "https://www.lueurexterne.com/logo.png"
    }
  }
}

Write in a citation-friendly format: Use clear, factual sentences that LLMs can easily extract. Think “According to [source], X is Y because Z” patterns.
Get mentioned by other authoritative sources: Guest posts, expert roundups, data studies, and PR mentions all increase your likelihood of appearing in LLM training data.

Google’s Ranking Algorithm in 2025: What’s Changed?

The Core Updates Keep Coming

Google released four core algorithm updates between January and June 2025. The overarching themes are consistent:

Deeper E-E-A-T evaluation: Google is getting better at assessing real-world expertise. Author bios, credentials, and first-hand experience signals matter more than ever.
User interaction signals: Engagement metrics—dwell time, scroll depth, return visits—are playing a larger role.
Content freshness for dynamic topics: AI and tech-related queries, in particular, are heavily weighted toward recency.
Anti-AI-spam measures: Google’s spam detection now specifically targets mass-produced AI content with no editorial oversight or original value.

The Quality Content Paradox

Here’s the paradox of 2025: AI makes it trivially easy to produce content, but search engines are simultaneously raising the quality bar. The flood of mediocre AI-generated articles has made genuinely expert, original, and experience-based content far more valuable.

This is where many businesses struggle. They adopt AI writing tools expecting to scale content production, but end up producing commodity content that neither ranks well nor gets cited by LLMs.

The winning approach? Use AI as a research and drafting assistant, but ensure every published piece includes:

Original data, insights, or case studies
Clear author attribution with verifiable expertise
Unique perspectives not available elsewhere
Multimedia elements (images, videos, interactive tools)

Technical SEO in the AI Era

Crawl Efficiency and Rendering

With Google increasingly using AI to understand page content, technical SEO fundamentals haven’t become less important — they’ve become more nuanced.

Key technical priorities for 2025:

Core Web Vitals: LCP under 2.5s, INP under 200ms, CLS under 0.1 remain baseline requirements.
JavaScript rendering: Ensure critical content is available in the initial HTML or rendered server-side. Googlebot handles JS better than ever, but LLM crawlers (like OpenAI’s GPTBot) may not.
Crawl budget management: With more AI bots crawling the web, managing crawl directives is crucial. Use robots.txt strategically.
Structured data validation: Regularly audit your schema markup using Google’s Rich Results Test and Schema.org validators.

Managing AI Crawlers

A new consideration in 2025 is which AI crawlers you allow to access your content. Here’s a reference for your robots.txt:

# Allow Google's main crawler
User-agent: Googlebot
Allow: /

# Allow OpenAI's crawler (for ChatGPT Search citations)
User-agent: GPTBot
Allow: /

# Allow Perplexity's crawler
User-agent: PerplexityBot
Allow: /

# Block a specific AI crawler if desired
User-agent: CCBot
Disallow: /

The decision of whether to allow or block AI crawlers is strategic. Blocking them preserves content exclusivity but sacrifices LLM visibility. Allowing them increases citation potential but means your content trains models that may reduce direct traffic. There’s no one-size-fits-all answer — it depends on your business model.

Local SEO and AI: What’s Different?

For businesses serving specific geographic areas — like agencies based in the Alpes-Maritimes (06) — AI is changing local search too.

Google’s AI Overviews are increasingly appearing for local queries (“best restaurant in Nice,” “web agency near Cannes”). These summaries pull from:

Google Business Profile data
Local review signals (quantity, quality, recency)
Local content relevance (city-specific landing pages, local case studies)
NAP consistency (Name, Address, Phone across the web)

The advice here is straightforward: double down on local content and reputation management. Businesses with rich, well-maintained Google Business Profiles and strong local backlink profiles are more likely to be featured in AI-generated local results.

Measuring SEO Success in 2025: New KPIs

Traditional metrics like rankings, organic traffic, and click-through rates remain important, but 2025 demands additional KPIs:

AI Overview citation rate: How often does your content appear in Google’s AI Overviews? Tools like Semrush and Ahrefs now track this.
LLM brand mentions: How frequently do ChatGPT, Perplexity, and Gemini mention your brand when answering relevant queries? Tools like Otterly.ai and Peec AI help monitor this.
Share of voice in AI answers: For your core topics, what percentage of AI-generated answers reference your content vs. competitors?
Zero-click impressions value: Even when users don’t click, being visible in AI summaries has branding value that should be estimated.

At Lueur Externe, we’ve integrated these AI-specific KPIs into our client reporting dashboards alongside traditional SEO metrics. The businesses that track both are the ones making smarter strategic decisions.

Predictions: Where AI and SEO Are Headed Next

Looking ahead to late 2025 and into 2026, several trends are likely to accelerate:

Multimodal search will grow: Google Lens, voice search via AI assistants, and video-based queries will become mainstream search modalities. Optimizing images, videos, and audio content will matter more.
Personalized search results: AI will increasingly tailor results to individual users based on search history, location, preferences, and context. “Universal rankings” will become less meaningful.
AI agents performing searches: As AI agents (like OpenAI’s operator-style tools) begin browsing the web on behalf of users, optimizing for machine-readable content and transactional clarity will become a new SEO discipline.
Regulation and attribution: Expect growing legal and regulatory pressure on AI companies to properly attribute and compensate content creators. This could reshape the economics of LLM optimization.

Conclusion: Adapt Now or Fall Behind

The intersection of AI and SEO in 2025 isn’t a theoretical discussion — it’s happening right now, reshaping traffic patterns, content strategies, and business outcomes in real time.

The key takeaways are clear:

AI Overviews and answer engines are the new front page. Optimize for citation, not just ranking.
LLM Optimization is a real discipline. Structured data, entity presence, and topical authority are your levers.
Quality over quantity has never been truer. AI-generated commodity content is losing; expert, original content is winning.
Technical SEO is evolving. Managing AI crawlers, improving rendering, and implementing structured data are table-stakes.
Measure what matters. Add AI-specific KPIs to your reporting.

Navigating this evolving landscape requires expertise that spans traditional SEO, technical architecture, and AI strategy. That’s exactly the intersection where Lueur Externe operates — with over 20 years of experience in web development, certified Prestashop and AWS expertise, and deep specialization in SEO and LLM optimization.

Ready to future-proof your search visibility? Get in touch with the Lueur Externe team and let’s build an SEO strategy that works in the age of AI.