Your brand in the age of generative search: How to show up and be cited

Your brand in the age of generative search: How to show up and be cited

We are experiencing an unparalleled seismic shift in digital discovery since Google was introduced to the public.

The rise of generative AI and large language models (LLMs) is fundamentally changing: 

  • How users search.
  • How content is surfaced.
  • How businesses gain visibility. 

This shift from discrete queries to continuous, AI-driven experiences is transforming the rules of engagement.

Welcome to the era of GEO – generative engine optimization. 

This is the new battleground for visibility. It’s not about where you rank. It’s about whether the AI understands, trusts, and cites you.

This is not something that’s coming – it’s here today.

From search to synthesis: The big shift and why it matters

Search used to be simple. A user typed in a query, a list of links appeared, and the journey began. 

SEO was also simple, with techniques like keyword stuffing and building backlinks being the main tools some SEO shops used to get attention.

However, AI-powered answer engines like Google’s AI Overviews and Gemini, Bing Copilot, ChatGPT, and Perplexity have replaced that model with synthesized responses. 

AI anticipates follow-ups, assembles answers from multiple sources, and often eliminates clicks altogether.

In this new model, ranking is no longer the goal. Relevance, trust, and inclusion in AI outputs are the new measures of visibility.

Why this shift demands your immediate attention

  • This is a game-changer, the most significant change in the brief history of search
  • There is a much higher bar to entry because AI prioritizes contextual value over things like backlink quality and exact-match keywords
  • While SEOs have been discussing E-E-A-T (experience, expertise, authoritativeness, and trustworthiness) for several years, it’s now non-negotiable for visibility
  • If AI answers the question without citing you, then you don’t exist in that moment

GEO vs. SEO: How the big shift is playing out

Traditional SEO focused on attracting clicks from a list of links in search results. GEO is about being cited by the AI itself. The difference is fundamental:

  • From clicks to citations: Search visibility was a “blue link.” Now, visibility is inclusion in the answer. If you’re not cited, you’re invisible.
  • From keywords to context: Search was mainly keyword-based. Now, AI understands meaning, not just exact keyword matches. GEO content is rich in context, incorporating entity optimization and how entities are connected to the content.
  • From traffic to influence: Influence builds brand equity, even when there’s no click.

This is no mere incremental update. 

AI-based searches leverage natural language processing, semantic comprehension, and personalized direct answers. 

The focus is more on searcher intent than ever, so the tools can help users get answers quickly.

Your GEO strategy: 7 essential items to survive the great shift

1. Cultivate deep topical authority

Build out deep, helpful content clusters around core themes. Become the go-to resource. 

Ensure your content addresses the information needs of customers looking for your products and services, and don’t forget E-E-A-T.

2. Master schema markup

Use structured data aggressively and accurately. It’s a strong signal to Search Engines and AI.

3. Prioritize AI-friendly formats

Lean into summaries, tables, guides, and FAQs.

4. Embrace multimodal content

Use images (with alt text), video (with transcripts), and audio. 

Real-time indexing using the IndexNow protocol is also extremely useful here.

5. Build brand authority beyond your website

AI-based search tools rely on information from trusted sources. 

Focus on building your brand’s identity with an omnichannel approach, including digital PR, guest posts on reputable websites, and actively seeking reviews. 

Your overall digital footprint matters.

6. Focus on semantic and entity-based optimization

Move beyond simple keyword matching. Identify key entities (people, places, products, and ideas) relevant to your niche. Schema tagging is also critical here.

7. Brand visibility everywhere for omnichannel discovery

Ensure presence and consistency in text content, images, and videos across web platforms, directories, social sites, and APIs. 

Because paid search also incorporates AI, don’t let your SEO and paid search teams operate in silos.

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Digging deeper: 4 foundations for GEO success

Foundation 1: Optimize your platform

GEO still incorporates some SEO best practices that include:

  • A clear site structure.
  • Fast downloading for a better user experience and spider crawling efficiency.
  • Avoidance of client-side rendered JavaScript for static or near-static content.

There is more to consider based on how these new generative search engines function.

A great user experience is key because user engagement data will become a critical signal for AI inclusion. 

Fast download times also make spiders work more efficiently, which is helpful for bots to get information into their systems quickly.

Leveraging IndexNow can also help get content into Bing more quickly. 

Their connection to OpenAI makes this a significant advantage, considering ChatGPT is currently the most-used LLM-based search.

Foundation 2: Digital asset optimization

AI-based searches are multi-modal, so your digital assets must be optimized for maximum visibility in generated answers. 

Text content is still critical, but so are images and videos. 

Regardless of format, all content must be consistent across all platforms to avoid mixed signals about your brand.

Text content must also be varied. Leverage:

  • FAQs.
  • Comparisons.
  • Definitions.
  • Use cases.

This allows for variations of the content that LLM-based tools for appearance in answers can easily ingest.

Content must also incorporate these techniques:

  • Signal intentionality.
  • Support retrieval-augmented generation (RAG).
  • Be created in various formats to improve chances of surfacing, regardless of how users wish to consume content (multimodal search).

Foundation 3: Structured data – The AI lifeline for discoverability

LLMs infer meaning well, but not perfectly. Structured data removes ambiguity and improves your chances of being cited.

Structured data means that the website content includes:

  • Semantic structure.
  • Logical information architecture.
  • And, most importantly, schema markup.

Google and Bing strongly encourage the use of schema markup. 

For example, during the March 2025 Google Search Live event, Googlers reinforced that structured data is central by including the following on a slide during one of the presentations:

  • “Structured data is critical for modern search engines. Structured data is efficient, for computers easy to read, and very precise.”

Several studies have shown that ChatGPT is currently the most-used LLM-based tool

The tight connection between Bing and OpenAI is another critical reason for leveraging schema tagging.

To help you understand how prepared your digital ecosystem is, audit for:

  • Visibility and consistency across channels (omnichannel audit, including text content, images, videos, and other formats).
  • Website technical SEO audit, including schema tagging.
  • Content audit to find information gaps and updated content formatting.

Foundation 4: Deep topical coverage

Gone are the days of optimizing for exact-match keywords. 

Organic search has been moving to intent-first search results for several years, and AI-driven search takes intent-driven answers to a new level.

Creating content for GEO requires a blend of precision and human-centered design-style empathy:

  • Semantically rich: Incorporate related topics and meanings.
  • Factual and trustworthy: Use expert quotes, data, and citations.
  • Conversational tone: Match the natural style of AI interactions.

Because these new search tools incorporate an understanding of natural language and contextual understanding (including personalization), your sites need to be optimized to ensure a complete understanding of your content.

AI-first personalization means every user sees something different. Your content must address multiple versions of user intent. 

For example, someone searching for “Las Vegas hotel pool” may want luxury, quiet, or party vibes. GEO content strategy digs deep into user data to understand applicable topics that fulfill searchers’ needs.

Measurement

Of course, the way we measure success must also change. 

It’s no secret that clicks from search engines are going down, so our metrics must adapt. Where we used to measure SEO success through

  • Ranking reports.
  • Click-through rates.
  • Website traffic.

We now need to look at other metrics like:

  • Visibility in answers.
  • Citations.
  • Mentions.

Website traffic is still important, but with declining numbers, you need that traffic to work harder. 

Tools like conversion rate optimization and A/B or multivariate testing are a critical part of the GEO toolbox.

The path forward: Be the answer

The AI-first world is here. Models are choosing sources. Answers are being built without your input, unless you optimize for it.

GEO is not about futureproofing. It’s about “present proofing.”

Brands that embrace GEO:

  • Get cited.
  • Gain influence.
  • Stay visible.

Those that don’t? They risk vanishing entirely.

Visibility now belongs to those who are understood, cited, and structured for the AI moment.

Be the answer or be left out.

A special thanks to Benu Aggarwal and Bill Hunt for their contributions to this article.