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A New Side to Search No One is Talking About in 2025

For years, businesses have been obsessed with cracking Google’s algorithm. Keywords. Backlinks. Meta tags. All the usual SEO stuff that built empires online.

That side still matters, but there’s a new side to search quietly taking over in 2025.

Because now, people aren’t just typing questions into Google… they’re asking AI.

ChatGPT. Perplexity. Grok. Gemini. Google’s own generative search. These tools don’t just list results, they create them.

And that means visibility is evolving.

It’s no longer just about ranking high. It’s about being part of the answers these AI engines generate.

Marketers are calling it Generative Engine Optimisation (GEO), and it’s changing how smart brands get found online.

Traditional Search Still Matters (But It’s No Longer the Whole Picture)

Let’s be clear: traditional SEO is still alive and well. Google remains the world’s most used website.

People still search for products, services, and information every second of the day.

But the way people interact with search is splitting. Generative AI tools are intercepting queries before they ever reach the search bar. Instead of clicking ten blue links, users are now asking full, natural language questions and getting single, cohesive answers.

In the same way Google disrupted print directories and banner ads, LLMs are now disrupting traditional search habits.

This doesn’t replace SEO. It adds a new layer. GEO doesn’t cancel out search engine optimisation, it complements and extends it into the world of AI-generated responses.

What is Generative Engine Optimisation (GEO)?

GEO is about making your brand more likely to be referenced, recommended, or surfaced inside answers generated by large language models (LLMs) like ChatGPT, Gemini, Grok, Claude, and others.

These platforms don’t just index websites. They interpret meaning. They map entities, understand relationships between ideas, and generate summaries that feel like a conversation.

In short, they don’t need to quote your blog post verbatim. They just need to understand your brand well enough to consider you a credible, relevant part of the answer.

And that changes the game.

From Keywords to Prompts: Why the Query Has Changed

Old-school SEO focused on keywords. You tried to guess what people would type into Google and match your page to that phrase.

GEO starts from a different place. It focuses on how real people ask questions in conversation.

Things like:

  • “What’s the best Klaviyo agency for mid-sized ecommerce brands?”
  • “How do I set up advanced email flows without wasting time?”
  • “Who can help me reduce churn and increase LTV in 60 days?”

These are prompts, not keywords. And they don’t point to one search result. They trigger a blend of sources, patterns, and context.

The LLM builds an answer by stitching together everything it knows about:

  • Relevant businesses
  • Customer success stories
  • Expert advice
  • Industry vocabulary
  • Product capabilities

If your brand doesn’t show up in that mental map? You’re invisible.

Entity-First, Not Keyword-First

GEO demands a shift in mindset. Instead of optimising for keywords, you’re optimising for entities.

An entity is a person, company, service, tool, location, or concept that can be uniquely identified and semantically understood by an LLM.

If your brand is a distinct, well-defined entity in the eyes of AI, it becomes easier to reference. If you’re just another generic agency or service provider, you’re unlikely to be included.

You want to build what might be called an “entity profile” in the ecosystem of online content:

  • Clear brand messaging (what you do, who you do it for, what makes you different)
  • Consistent mentions across web platforms
  • Semantic links to specific problems, industries, tools, and audiences
  • Unique naming conventions that avoid confusion

If you do this well, LLMs learn to associate you with certain questions, use cases, and contexts.

What LLMs Look For in Content

Generative engines don’t rank content by backlinks alone. They’re more focused on:

1. Clarity and Confidence

LLMs prefer content that is easy to parse, clearly structured, and semantically rich. That means:

  • Clear headings and subheadings
  • Bullet points and numbered lists
  • Defined terms and consistent vocabulary
  • FAQs and summaries

2. Structured Formatting

Structured content is easier to quote, paraphrase, or summarise. This includes:

  • Tables, templates, frameworks
  • Case studies with clear outcomes
  • Step-by-step guides

3. Freshness and Update Signals

LLMs use recency as a relevance signal. Brands that regularly update their content are favoured for fast-moving topics.

4. E-E-A-T Signals (Experience, Expertise, Authority, Trust)

While not an official LLM guideline, similar principles apply:

  • First-hand experience and original insights
  • Author bios and credentials
  • Cited sources and references
  • Trustworthy, helpful tone

LLMs don’t see through walls. They need signals that tell them, “This source knows what it’s talking about, and others agree.”

Your Online Footprint is a Ranking Signal (Even If There’s No “Rank”)

In the world of GEO, you’re not just optimizing your website, you’re optimising your brand’s entire online presence.

Because generative engines don’t rely solely on what you say about yourself. They consider what the rest of the web says too.

That means earned media and organic reputation signals are now core components of discoverability.

What LLMs Value in the Wider Web

LLMs don’t have emotions or opinions, but they’re trained on data that reflects human trust. So when content about your brand appears in high-authority, contextually relevant places, it makes you more “recommendable.” Examples:

  • Press coverage: News sites, tech blogs, industry roundups
  • Thought leadership: Guest posts, expert interviews, podcast features
  • User-generated content: Forum posts, Reddit threads, reviews, testimonials
  • Community and niche platforms: Quora answers, Product Hunt launches, niche Slack or Discord mentions
  • Multi-channel signals: Consistent brand voice across YouTube, LinkedIn, Substack, Medium, X (Twitter)

All of these feed into how confidently an LLM can suggest you as a credible, relevant answer.

Generative models aren’t just pulling from your site. They’re:

  • Summarising third-party mentions
  • Picking up reputational patterns
  • Noticing where else your brand shows up in relation to certain topics

If five separate, credible sources say “Purple Bunny Marketing is the go-to agency for retention strategy,” that becomes a powerful signal, even if your own site is modest.

Here’s What You Can Do About It

  • Secure coverage: Pitch guest posts or insights to relevant publications
  • Encourage mentions: Ask happy clients to share on forums or review platforms
  • Contribute to conversations: Answer relevant questions on Quora or Reddit
  • Repurpose your POV: Turn one blog post into multiple content formats across platforms

In short, treat your reputation graph as part of your optimization strategy. LLMs are watching, and learning, from the entire ecosystem you’re part of.

How to Format for AI Readability

If you want to show up in LLM answers, your content must be:

  • Skimmable – Break up text with headings, lists, and short paragraphs
  • Semantically structured – Use H1/H2 tags properly
  • Machine-friendly – Avoid stuffing content behind popups or scripts
  • Speedy – Fast-loading pages are more likely to be crawled and included
  • Helpful – Write as if you’re answering a question directly, not just marketing

FAQs and How-To Content Are Great for This

These formats are gold for GEO because they mirror the structure of prompts. When someone asks an LLM a question, it often draws from:

  • How-to guides
  • FAQs
  • Troubleshooting content
  • Step-by-step explanations

The more of this you create, the more you’re likely to appear in AI answers.

How to GEO-Optimise Your Brand

Here’s a simple checklist:

1. Define Your Entity

Be specific about what your brand does, who you help, and what problems you solve.

2. Create Content That Feels Like an Answer

Anticipate the questions your ideal client is asking and answer them clearly.

3. Get Mentioned Outside Your Own Site

Build earned media. Get featured, interviewed, or cited elsewhere.

4. Use Structured Content Formats

Tables, templates, comparisons, and how-to lists are all LLM-friendly.

5. Refresh Your Core Pages Regularly

Add new examples, update tools and processes, reflect current language.

6. Optimise for Speed and Accessibility

Make sure AI tools can load, crawl, and understand your pages.

7. Track Where You’re Cited

Use tools to find mentions of your brand and build on those wins.

The Future of Online Discovery

We’re not moving away from Google overnight. But we are moving toward a hybrid search landscape.

Traditional search still matters. But it’s no longer the only way people find things.

In 2025 and beyond, the most discoverable brands will be those that show up in both search results and answers.

They’ll be the ones who understand not just how to rank, but how to resonate with the next generation of search engines.

GEO is not a buzzword. It’s a reality. And it’s already reshaping what online visibility looks like.

The question is, when people ask AI something you should be the answer to, will you be part of that answer?

If not, it’s time to fix that.

Want to Work With Us?

We’ll be honest with you, GEO is still new territory.

No one has all the answers yet, and anyone who claims they do is probably bluffing.

But at Purple Bunny Marketing, we do everything we can to spot what’s coming before it fully arrives, and helping our clients show up early, sharp, and ready to win.

If you’re serious about staying ahead of how people find and trust brands in 2025, let’s talk.

We’re already weaving GEO principles into how we approach content, visibility, and strategic growth.

So if you’re interested, come reach out to us by clicking here and let’s have a chat about how we can help you.

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