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The future of search is GEO (Generative Engine Optimization)

clock 10 mn
08 aug. 2025
par Asmita Asmita
The future of search is GEO (Generative Engine Optimization)

To Remember

  • GEO is about being referenced, not just ranked.
    Traditional SEO chases page-one positions while GEO focuses on earning a place inside AI-generated answers by being credible, structured, and consistently cited across public platforms.
  • Public, structured, and fresh UGC fuels AI discovery.
    AI engines pull from publicly available reviews, videos, and posts. Make your product visible by publishing keyword-rich, driven by customer queries, and regularly updated UGC on AI-crawl-friendly platforms.
  • Consistent multi-creator content builds AI trust.
    When multiple independent sources authentically recommend your product, it reinforces authority in AI “memory,” increasing the likelihood your brand is featured in future recommendations.

Looking into the new era of search.

Search has come a long way from keyword stuffing in the early 2000s to today’s focus on experience, expertise, authority, and trust (E-E-A-T). But a new shift is underway. With the rise of generative AI tools like ChatGPT, Google SGE, and Perplexity, users are clicking, asking, and expecting instant, AI-crafted answers, recommendations, suggestions, ideas, and opinions.

Enter GEO: Generative Engine Optimization. The next big thing in the evolution of search. In a world where AI curates what we see, brands and creators must rethink visibility. Now it’s more than ranking on page one. It’s about being referenced by the machine.

But first, what exactly is GEO?

GEO, or Generative Engine Optimization, is the emerging discipline of optimizing content to be referenced, cited, or surfaced by AI-powered search engines and not just ranked in traditional search results.

Unlike classic SEO, which focuses on climbing the ranks of blue links on Google SERPs, GEO is about earning visibility within AI-generated answers. These answers are delivered by platforms like:

  • Google’s Search Generative Experience (SGE)
  • Bing Copilot
  • ChatGPT with Browsing
  • Perplexity AI

These tools no longer direct users to links. They synthesize information across the web to generate responses in real time. That means if your content isn’t deemed trustworthy, authoritative, and clearly structured, it may never be seen regardless of how strong your SEO is.

The core shift?

With GEO, you’re not trying to rank, you’re trying to be referenced. The goal is to ensure your content is recognized as a reliable source of truth by AI models trained to summarize the web. This requires a blend of SEO best practices, content clarity, semantic structure, and credibility signals that appeal directly to generative engines.

Why GEO Matters for Brands and Content Creators

Generative AI is fundamentally changing how people discover information online and that shift has major implications for brands and content creators.

Gone are the days when users had to scroll through a list of blue links. Today more and more users are getting instant, AI-generated answers without ever clicking on a website. These zero-click searches are rapidly becoming the norm, reducing traditional web traffic and reshaping the search landscape.

This is where GEO becomes critical.

AI engines don’t randomly generate answers. They pull from credible, well-structured, and authoritative content across the web. If your brand’s content doesn’t meet these standards, it won’t be cited. That means you become invisible in the very places where discovery is happening.

For brands, this translates to lost visibility, missed conversions, and a weakening digital presence. For your creators, it means their expertise and voice risk being left out of the conversation entirely.

GEO is a visibility strategy for the AI age. Optimize for it, and your content has a shot at becoming the trusted source AI turns to. Ignore it, and you may find yourself left behind.

How GEO Works: What AI Models Look For

To understand how to optimize for generative engines, you need to know what these AI models are trained to prioritize. Unlike traditional search algorithms that rely heavily on backlinks and keyword density, generative engines focus on semantic understanding, credibility, and context.

Here’s what matters most in GEO:

Structured Content & Semantic Clarity

AI models thrive on content that’s clear, structured, and purposeful. The cleaner and more logically organized your content is, the easier it is for AI to interpret, index, and surface it when it’s most relevant. This isn’t just about good writing it’s about anticipating how people search, and shaping your UGC to fit that behavior.

When creating UGC that’s AI-friendly, think like your customer at the moment of search. People rarely type “dry shampoo” into Chatgpt; they type:

  • “Best dry shampoo for oily hair”
  • “How to use dry shampoo without residue”
  • “Dry shampoo vs. hair powder – which works better?”

Each of these is an opportunity for a creator to craft content that acts as the perfect answer. Imagine a short video starting with:
“If your hair gets greasy by day two, here’s the dry shampoo that actually works…”
That’s direct, relevant, and exactly what AI can recognize as a high-quality match for a search query.

This strategy isn’t limited to beauty.

  • In home décor: “How to style a small living room without making it feel cramped.”
  • In fitness: “Quick 10-minute workouts for beginners with no equipment.”
  • In food & beverage: “3 easy gluten-free breakfast ideas under 10 minutes.”

In each case, the content has a clear question and a clear, actionable answer making it more discoverable for AI-driven search results, TikTok’s algorithm, and even shoppable video recommendations.

Here’s a tip for brands: Don’t leave this to chance. Share with your creators a list of real customer questions from search engine data, your FAQ page, and social DMs. Ask them to format their UGC as direct, engaging answers whether that’s a “Here’s how…” tutorial, a quick product demo, or a “Before & After” transformation.

Content that doesn’t just live in your feed, but is ready to be found whenever and wherever your audience is searching.

Source Credibility & Platform Consistency

If your content is inconsistent across your website and social platforms, AI models may skip over you. They prioritize sources that are authoritative, consistent, and trustworthy, often reinforced by publicly available UGC, brand mentions, or press coverage.

But, what can these AI tools do?

Aggregate and summarize publicly available content:
If a product is widely discussed in publicly available reviews, videos, or forums, these AI tools can process that information (either from their training data or live web searches, depending on the tool) and summarize the sentiment or key points.


For Example: “Based on popular TikTok reviews, Brand X’s tinted sunscreen is often praised for its lightweight texture and no white cast.”

Identify patterns in recommendations:
They can highlight which products repeatedly appear in top lists, trending posts, or positive reviews.

For Example: “Several Instagram creators recommend the Dyson Airwrap for easy curls without heat damage.”

What they cannot do is:

Access private or paywalled UGC. AI tools can only pull from content that’s publicly available. Anything behind logins, in closed groups, or private platforms is off-limits.

Always surface niche or brand-new content. If a product is new without any buzz around it or only discussed by a small group of creators, it might not yet be widely discoverable in AI recommendations.

So, to conclude:

If your goal is to have AI tools recommend your product when people ask about it, you’d want to:

  • Seed high-quality, keyword-rich UGC across platforms (TikTok, YouTube, Instagram, Product pages) that’s public and easy for AI to parse.
  • Encourage Q&A-style content from creators that clearly matches common search queries.
  • Publish on platforms that AI tools crawl frequently (YouTube, TikTok with captions, Instagram with captions, Public forums).

Freshness & Recency

Outdated content doesn’t get picked up easily. AI tools prefer up-to-date sources, especially for fast-moving topics like product reviews, trends, or news.

Keep refreshing high-priority pages and adding new UGC to your social networks to maintain relevance.

Multi-Format Content: Text, Video, UGC, Reviews

Generative engines now pull from diverse formats, including video transcripts, audio, and user-generated content (UGC) like reviews and testimonials.

The more variety and authenticity you offer, the more reference-worthy your content becomes.

At its core, GEO is about making your content easy for AI to trust, understand, and cite. This means combining technical structure with human value and thinking beyond keywords to focus on clarity, authority, and usefulness.

How to Future-Proof Your Content for GEO

Once you’ve made your UGC AI-friendly, the next challenge is to ensure it stays discoverable as generative AI models evolve. 

Here’s how to keep your products in the AI conversation long term:

1. Create an Always-On “AI Feed” of UGC

Generative engines learn from consistent, fresh content. 

Maintain a steady stream of public UGC, not just during campaigns. Rotate in seasonal trends, product launches, and new “how-to” angles so AI models continually encounter your brand in updated contexts.

Let’s take an example: If you sell cookware, don’t stop your UGC content at “Best Non-Stick Pan Review.” Add “Best Pan for Pancakes,” “Best Pan for Gas Stoves,” “Best Pan for One-Pot Meals” over time.

2. Build an AI-Optimized Content Hub

Instead of letting UGC float on scattered channels, centralize it.

Host creator content (videos, transcripts, reviews) on your own site, product pages and social platforms with optimized captions, headings and metadata.

This creates a permanent, crawlable library AI tools can reference.

3. Close the Loop with Search & Chat Data

Track what customers are asking AI tools (via SEO tools, Reddit monitoring, or direct customer queries) and map it against your existing UGC.

Identify gaps where no public content answers the question with your product in mind.

Brief creators to fill those gaps with targeted, question-driven UGC.

4. Leverage Multi-Creator Echoing

Generative AI weighs content patterns. If multiple independent sources recommend the same brand, it boosts perceived authority.

Activate several creators to address the same product benefit in their own authentic style. This repetition strengthens your product’s footprint in AI model “memory.”

Conclusion

Generative Engine Optimization (GEO) is the future of search. As AI-powered engines become the go-to source for information, the way your content is discovered, trusted, and cited is changing fast.

Brands and creators that adapt early will be the ones who win gaining visibility where others are invisible, earning trust where others are ignored, and capturing traffic where others see none.

Now is the time to act. Review your content through a GEO lens.

FAQs

How is GEO different from traditional SEO?

While SEO focuses on ranking your content in search engine results pages (SERPs), GEO (Generative Engine Optimization) aims to get your brand referenced inside AI-generated answers. It’s less about clicks from blue links and more about becoming the trusted source AI pulls from when responding to user queries.

What types of content work best for GEO?

Public, structured, and question-focused content, especially UGC like reviews, tutorials, comparisons, and how-tos—performs well. AI tools favor clear, authoritative answers, so creating videos tailored to customer queries and captions around real customer questions increases your visibility.

How can I tell if my brand is already being referenced by AI tools?

You can run test queries on platforms like ChatGPT (with browsing), Google SGE, Perplexity, or Bing Copilot to see if your brand appears in answers. Monitor mentions in public forums, video captions, and creator posts, and track referral spikes from AI-powered search features.

Interested in finding out more?

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