News + Thought
Strategic SEO in the Age of Large Language Models
One of the biggest developments we’ve seen at Skywire over the past year is that Large Language Models, commonly known as LLMs, have become an indispensable part of the digital landscape - and this is a trend that we predict will only intensify moving forward into 2026.
Whether it’s Google’s AI Overviews to more individual users resorting to platforms such as ChatGPT or Gemini to even begin their searches, one thing is clear in today’s age of SEO: if your content isn’t built for AI, it’s missing opportunities.
Why LLMs Matter
An LLM can be best thought of as a tool that understands language at scale. It can read, summarise, generate, and optimise content faster than any human team could, while maintaining nuance and context.
For SEO, this means:
- Google accepts AI-generated content – as long as it demonstrates expertise, authority, and trustworthiness (E-E-A-T).
- AI Overviews are taking centre stage in search results, often above the top organic listings.
- User behaviour is shifting: a growing percentage of searches now start directly with AI tools rather than Google.
In short, high-quality content is no longer enough - you need content designed to work seamlessly with AI.
How AI Overviews are changing search
AI Overviews pull content from multiple sources to answer queries directly. Users often get what they need without clicking through, especially for how-tos, product comparisons, or general information.
This has had a profound effect on sources of traffic. At Skywire, we’ve seen client traffic originating from LLMs dramatically surge this year - one luxury lifestyle brand we work with saw a 1,100% increase in LLM traffic in 2025 when compared with 2024.
Here’s how to get a slice of the pie:
- Structure your content with clear headings, concise answers, and bullet points.
- Use schema markup (FAQ, HowTo, Product) to make your content AI-friendly.
- Include first-party insights or unique data to stand out.
- Remember, even if users don’t click, being cited builds brand authority and trust.
Can an LLM power your SEO?
In short, yes. LLMs aren’t just about content creation - they can transform your entire SEO strategy:
- Smarter Keyword Research & Topic Clustering: LLMs expand keyword lists, group them by intent, and identify opportunities competitors may be missing. This streamlines planning and ensures content aligns with actual search behaviour.
- On-Page Content Made Easy: LLMs can draft blogs, product descriptions, meta titles, FAQs, and image alt-text. With thoughtful prompts, your content remains on-brand, SEO-ready, and relevant – we would, of course, caution, however, that human oversight ensures quality every step of the way here.
- Technical & Programmatic SEO: From generating structured data to suggesting internal links or creating location-specific landing pages, LLMs make complex SEO tasks faster, more precise, and scalable.
- Multilingual & Localised SEO: Expanding globally? LLMs can translate meaning, maintain brand voice, and adapt culturally, helping you reach new markets without compromising quality.
Key Tips on Optimising for AI
- Use schema markup for structured, extractable data
- Answer questions directly with conversational language
- Optimise headings and bullet points for easy AI parsing
- Offer fresh insights or unique data to stand out
Skywire’s key takeaway
LLMs are now too large to ignore when it comes to optimising your content for search engines.
High-quality content will, of course, remain a cornerstone - but now structure, clarity, and AI-readiness are equally important to ensure that it’s discovered.
Brands that embrace these tools thoughtfully can scale content, maintain visibility, and stay ahead in a search landscape increasingly shaped by AI.