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AI Search in 2026: How to Get Your Brand Cited in Google AI Overviews, AI Mode & ChatGPT
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AI Search in 2026: How to Get Your Brand Cited in Google AI Overviews, AI Mode & ChatGPT

digitallynext
August 18, 20265 min read

Introduction

Search is no longer just a list of links.

For years, the basic search journey was straightforward: a user entered a query, Google returned a page of results, and businesses competed to earn one of those clicks.

That model is changing.

Google has expanded AI Overviews and AI Mode, enabling people to ask more conversational and complex questions and continue the interaction rather than repeatedly searching separate queries. Google says AI Mode queries are, on average, three times longer than traditional searches, while more than one in six AI Mode queries are entirely non-text.

At the same time, marketers are increasingly thinking beyond conventional SEO toward AEO, GEO and AI search optimisation. HubSpot's 2026 marketing research reports that 40.6% of marketers identify adapting SEO to changes in search as a major priority, while half of consumers surveyed use AI-powered search.

So the important question for brands is no longer simply:

How do I rank on Google?

It is becoming:

How do I become a source that AI systems trust enough to cite?

AI search refers to search experiences where artificial intelligence doesn't simply retrieve webpages but interprets a user's question, synthesises information and generates an answer.

Examples include:

  • Google AI Overviews
  • Google AI Mode
  • ChatGPT search
  • Microsoft Copilot
  • Perplexity
  • Gemini

Instead of:

Query → Links → Click → Read

The journey increasingly looks like:

Question → AI interpretation → Synthesised answer → Sources → Follow-up question

That changes the role of your website.

Your website is no longer competing only for a position on a search results page.

It is competing to become one of the sources behind the answer.

Why Traditional SEO Alone Is No Longer Enough

Traditional SEO still matters.

Technical SEO, backlinks, keyword targeting, content quality, and website architecture remain important foundations.

But AI search introduces another layer.

Consider the query:

"What is the best digital marketing strategy for a B2B SaaS company entering India?"

This isn't a simple keyword.

It contains:

  • Industry
  • Market
  • Business model
  • Intent
  • Commercial consideration
  • Strategy requirement

AI systems can break that question into multiple information requirements before generating an answer.

That means brands need content that demonstrates depth, context and relationships between concepts, not just pages built around individual keywords.

What Makes Content More Likely to Be Cited?

There is no guaranteed formula for AI citation.

However, several characteristics consistently make content more useful to answer engines.

1. Answer the question directly

Don't make users - or AI systems - search through 2,000 words to discover your answer.

Start with a concise explanation.

2. Demonstrate expertise

Generic summaries are easy to generate.

Original expertise is harder to reproduce.

Include:

  • First-hand experience
  • Original research
  • Case studies
  • Examples
  • Expert commentary
  • Proprietary frameworks
  • Data

3. Build topical depth

One isolated article is unlikely to establish authority around an entire subject.

A stronger approach is to create interconnected content around:

Core topic → subtopics → questions → applications → case studies

4. Make information easy to extract

Use:

  • Clear H2s
  • Short paragraphs
  • Definitions
  • Tables
  • FAQs
  • Step-by-step frameworks
  • Bullet lists where appropriate

The objective isn't to write for robots.

It is to make your expertise understandable to both humans and machines.

AEO vs SEO vs GEO

These terms are often used interchangeably, but they describe slightly different objectives.

SEO

Optimising content and websites to appear prominently in traditional search engines.

AEO

Answer Engine Optimisation focuses on making content useful for systems that provide direct answers.

GEO

Generative Engine Optimisation focuses on improving visibility within generative AI experiences.

In practice, businesses don't necessarily need three completely separate strategies.

A strong content strategy can support all three.

How to Build an AI-Search-Ready Content Strategy

Step 1: Identify real questions

Don't begin with:

"What keyword should we rank for?"

Start with:

"What does our customer actually want to know?"

Then identify:

  • Informational queries
  • Comparison queries
  • Problem-based questions
  • Product questions
  • Pricing questions
  • "Best" queries
  • "How" queries

Step 2: Create authoritative answers

Each important question should have a clear, useful answer.

Use internal linking to build topical relationships.

Step 4: Add original evidence

This is where brands can differentiate themselves.

Instead of:

"AI is changing marketing."

Show:

How AI changed your campaign production process.

Step 5: Build entities around the brand

Clearly communicate:

  • Who you are
  • What you do
  • Which industries you serve
  • What expertise you possess
  • Which work you have completed

Step 6: Measure visibility beyond rankings

Track:

  • AI citations
  • Brand mentions
  • Referral traffic
  • Branded searches
  • Search impressions
  • Organic conversions
  • AI referral sources where measurable

What About Google AI Mode?

Google's AI Search evolution is particularly important for marketers because the search experience itself is becoming more conversational and multimodal.

Google reports that image-based search behaviour is growing and that AI Mode queries can involve text, voice and visual inputs.

That means brands should increasingly think about multimodal discoverability.

Your product may be discovered through:

  • Text
  • Images
  • Video
  • Voice
  • Product information
  • Brand entities

The future of SEO, therefore, isn't simply about optimising webpages.

It's about making the entire brand information ecosystem understandable.

The Biggest Mistake Brands Can Make

Trying to "game AI."

There is no sustainable shortcut where a brand stuffs certain phrases into articles and expects ChatGPT or Google AI Mode to cite it.

The better approach is simple:

Become genuinely useful.

Create information that answers questions better than generic content.

Document your expertise.

Publish original experiences.

Build a recognisable brand.

And make your information easy to understand.

The Future of Search Is Not Clicks vs AI

It is both.

Traditional search will remain important.

But the discovery layer is becoming increasingly conversational.

Brands that adapt early can move from simply competing for rankings to becoming trusted sources within the answers themselves.

Key takeaway: SEO gets you discovered. AEO helps you get answers. Original expertise gives AI systems a reason to mention you.

Frequently Asked Questions

AI Search uses artificial intelligence to understand a user's query and generate a direct, synthesized answer instead of simply displaying a list of ranked web pages. Google AI Overviews, Google AI Mode, ChatGPT, Gemini and Perplexity are examples of AI-powered search experiences.

Create clear, original, and well-structured content that directly answers user questions, demonstrates first-hand expertise, maintains strong technical SEO, uses relevant entities, and provides trustworthy supporting information. There is no guaranteed method for earning an AI Overview citation.

SEO focuses on improving visibility in traditional search results. AEO focuses on making content suitable for direct-answer experiences. GEO, or Generative Engine Optimization, focuses on improving a brand's visibility and representation across generative AI systems. In practice, the three increasingly overlap.

Publish authoritative, original content that clearly answers specific questions and can be independently understood by AI systems. Strong brand entities, reputable third-party mentions, structured information, and technically accessible webpages can also help AI systems understand and reference your brand.

Yes. AI Search does not make SEO irrelevant. Technical accessibility, relevant content, authority, structured information, and other established search fundamentals still help search and AI systems discover and understand a website.

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