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Latest SEO technologies in 2025: How to rank on Google and in LLM answers after the June core update

Latest SEO technologies in 2025:

Google’s 2025 search now rewards content that is deeply helpful, structured, and machine-readable, while LLMs favor simple, self-contained answers, together reshaping SEO into a combination of technical precision and AI-aware writing techniques. For sustained visibility, strategies must align with Google’s June 2025 core update and the rise of AI Overviews/AI Mode, while also optimizing for chunked retrieval used by large language models.

What changed in 2025?

Google’s June 2025 core update came with quality signals, emphasizing experience, expertise, authoritativeness, and trust, with a long multi-week rollout and notable volatility across YMYL and commerce queries. AI features like AI Overviews and AI Mode expand zero-click journeys, demanding content that can be excerpted accurately and stands alone contextually. Sites must assume fewer clicks and design content to satisfy intent on the SERP and within AI-generated summaries.

Core SEO technologies

LLM-first writing techniques

Use question answer structuring to guide readers and machines alike: make each subheading a natural, user-phrased question, then open with a crisp 1–2 sentence answer before adding brief context so the point is clear even in isolation. This style respects intent upfront, reduces ambiguity, and helps both skimmers and AI systems capture the essence without misreading nuance.

Follow extractive-friendly formatting to make every line carry weight: keep one idea per paragraph, prefer short sentences, and add bullets for steps or key takeaways, with clean, definitional statements that can be quoted directly without extra stitching by an assistant or search snippet. This improves readability for people while making machine extraction accurate, faithful, and context-safe in summaries or answers.

Ground writing in facts and figures so the content stands tall: include concrete statistics, clear definitions, enumerated steps, and explicit constraints or caveats; these specifics act like anchors that language models and search features can verify and reuse, reducing uncertainty and boosting trust signals. Numbers, process points, and source-backed statements also help users decide faster, which is ultimately the goal of helpful content online.

Close with FAQs and How-Tos that match on-page schema for better eligibility: Add a compact FAQ section with direct answers and a stepwise how-to for common tasks, then mirror them with structured data so snippet systems and AI answers can recognize scope, sequence, and relevance cleanly. This small but disciplined addition often improves coverage in rich results and increases the chance of accurate AI citations, especially for practical, search-heavy topics in India.

Technical SEO stack to adopt now

Strategy for AI Overviews and AI Mode

What to slow down

Editorial and governance practices

FAQs

1. What are the biggest SEO shifts in 2025?
Google’s June 2025 core update and the expansion of AI Overviews/AI Mode require content that is structured, verifiable, and immediately answers user intent in extractable chunks.

2. How do LLMs “choose” which pages to cite?
LLMs prefer pages with QA-structured headings, short self-contained passages, clear facts, and strong trust signals such as authorship and citations.

3. Does structured data directly improve rankings?
Structured data is not a direct ranking factor but improves understanding and eligibility for rich results, indirectly aiding visibility and click-throughs.

4. How should content be formatted for AI answers?
Start with a direct answer, keep one idea per paragraph, add bullets for steps or facts, and use FAQ/HowTo schema for machine-readable sections.

5. What technical priorities protect rankings through updates?
Strong CWV, clean semantic HTML, accurate indexing controls, and continuous monitoring of AI and rich result appearance are essential foundations.

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