Feature
Research Report
The AI Transformation 100: Concrete Ideas for Fixing How We Work
Something big happened to how people search for information, and it wasn't a slow evolution but an observable step change.
Today, Google AI Overviews (AIOs) dominate 25% of all Google searches as of early 2026, up from 6.49% at the beginning of 2025. At the same time, ChatGPT now exceeds 900 million weekly active users as of April 2026. Perplexity, on the other hand, is averaging between 1.2 and 1.5 billion requests per month.
One thing is clear from these trends: failing to appear in AI-driven summaries or searches means becoming invisible at the most critical, high-intent moments of the consumer decision. However, is getting your brand to show up in these AI search results actually achievable, or is it just guesswork wrapped in marketing jargon?
Table of Contents
- Can You Make Your Brand Show Up in AI Search?
- How Much Traffic Is Actually Coming From AI Search?
- 5 Best Practices for Appearing in AI-Generated Responses
- How to Know If Any of This is Working
- The Brands That Move First Win
Can You Make Your Brand Show Up in AI Search?
The short answer is: no one knows for certain.
AI models don't release scoring factors like Google does, but there’s growing evidence that particular content, technical specs and authority-building best practices do create repeatable results in terms of which brands get surfaced. As a result, brands that appear in AI responses today did not end up there by mistake.
How Much Traffic Is Actually Coming From AI Search?
AI referral traffic makes up about 1.08% of all website traffic worldwide, and it’s growing at about 1% month over month, according to Conductor’s 2026 Report, which analyzed 17 million AI-generated responses.
- Between January and May 2025, AI-sourced traffic increased 527% year over year across tracked properties
- During the holiday season (November to December 2025), Adobe reported a 693% rise in AI referral traffic
- In Q1 of 2026, traffic from AI sources to US retail sites grew 393% YoY, as per Adobe's data set, which included over 1 trillion visits to US retail sites.
What makes the numbers worth paying attention to is quality of the traffic generated. Adobe's March 2026 data showed that AI-referred visitors convert 42% better than those coming from traditional channels like paid search and email. They spend at least 48% longer on site and browse around at least 13% more pages per visit.
Still, context matters. Google still sends 345 times more traffic than ChatGPT, Gemini and Perplexity combined as of September 2025. This means traditional SEO isn't dead after all. The smart play has always been to build visibility on both sides simultaneously.
Related Article: SEO vs. AEO vs. GEO: Understanding the New Search Playbook
5 Best Practices for Appearing in AI-Generated Responses
Artificial intelligence-based trends, such as AI-powered search, are altering online traffic patterns. That in itself indicates a major shift in how people discover information online, and it’s only expected to have a flow-on effect on the digital advertising industry. Monthly referral traffic growth from leading AI search engines from October 2024 to February 2025 shows:
| Referrer | Oct 2024 | Nov 2024 | Dec 2024 | Jan 2025 | Feb 2025 | Total |
|---|---|---|---|---|---|---|
| ChatGPT | 22.71% | 29.12% | 10% | 21.27% | 20.89% | 155.52% |
| Perplexity | -23.26% | 55.57% | 1.67% | 5.44% | 20.95% | 54.78% |
| Gemini | 0.52% | 43.93% | 0.72% | -1.76% | 1.79% | 43.64% |
| Bing (Edgeservices) | 13.77% | 24.4% | -35.31% | 22.6% | 20.8% | -37.55% |
So, if you want your brand to feature in these AI-generated outputs (AI Overviews, ChatGPT, Perplexity), you’re going to need a solid Generative Engine Optimization (GEO) game plan.
1. Make Your Website Readable By Machines
This is the most basic requirement, and one that most brands don't meet. For instance, Adobe’s AI Content Visibility Checker recently assessed web pages to see how much large language models (LLMs) can read or not read.
The assessment found US retail homepages have an AI machine-readability score of 75%, while individual product pages score 66%. Around a third of the content on product pages is currently unreadable by AI.
If you want to appear in AI-generated responses, you need to make your website easily readable by models like ChatGPT or Gemini. First, review your robots.txt file, as Cloudflare recently changed its default configuration to block AI bots. Your website could be unintentionally blocking AI crawlers without anyone’s knowledge.
Secondly, check your server logs for the presence of the ChatGPT-User agent to see if any AI systems are indeed visiting your pages.
2. Structure Content for How AI Systems Think
When you ask an AI model a question, it doesn’t paste the entire question into one search engine. Instead, it breaks it down into smaller sub-questions and searches for those. This is known as query fan-out, and it also informs what kind of content needs to exist on your site.
If a potential customer asks ChatGPT, "What is the best email marketing tool for a small ecommerce business?" the AI might search for "best email marketing platforms 2026," "email marketing for ecommerce" and "email marketing pricing small business" as three separate queries.
So, your content needs to respond to each of these fragments before you write anything about the main topic. As a brand that wants to show up in AI queries, it’s not just what you say that matters in your content, but how it's structured.
Short paragraphs, straightforward questions-as-headings and direct answers, ideally between 40-80 words, help AI extract clean citable passages. Long-winded preambles and conclusions buried deep within do not work well.
3. Build Authority Beyond Your Own Website
McKinsey's AI Discovery Survey found that a brand's own website only represents 5-10% of the sources AI search platforms pull from to form an answer. The other 90% comes from publishers, user-generated content, affiliate sites and review platforms. SEMrush’s January 2026 report revealed that Reddit and LinkedIn were the top two domains referenced across ChatGPT, Perplexity and Google AI Mode. YouTube consistently makes it into the top-referenced list as well.
A brand’s presence in real Reddit conversations, LinkedIn thought leadership posts or YouTube video content gives AI more to work with when generating responses about your space.
And of course, earned media matters too. When industry journalists mention your brand, customers review you on G2 and QA communities on Quora recommend your product, those independent third-party mentions build credibility signals that AI models take very seriously.
4. Use Schema Markup So AI Understands Exactly What You Are
Content with accurate schema markup may have 30-40% more visibility in AI-generated answers. Schema not only helps AI read your content, but also understand the relationships between entities, what your brand is, who is behind the site and how to interpret it.
The most effective schema types for AI visibility are:
- Organization (establishes brand identity)
- FAQ (directly feeds question-and-answer patterns that AI loves to cite)
- How To (provides a clear step-by-step sequence)
- Article (indicates content type and author)
Use JSON-LD format and validate every implementation with Google's Rich Results Test. The point is not to trick but to leave no doubt what your content is.
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5. Treat Content as a Living Asset, Not a One-Time Publication
Between 40-60% of the sources cited month to month change in Google AI Mode and ChatGPT, according to an analysis from Search Engine Land. That level of volatility should give you a clue that AI search visibility isn’t something you do once and then forget about.
You have to think more and more about your content strategy, which includes how to constantly refine and update your content that’s out there. Brands that do (those who treat their content like a living asset instead of like a publication) maintain strong AI visibility with exposure over time.
That means putting a regular schedule in place for checking over existing content, updating stats and examples and revamping old, underperforming pages. Also, remember that AI assistants often prefer citing fresher content than what gets surfaced in regular search results.
How to Know If Any of This is Working
Measuring AI search is still in its infancy, but there are tangible places to start.
- Manually test 10-15 queries a customer would ask in ChatGPT or Gemini every month. Take note of whether your brand appears when it should, in what context and who shows up instead.
- Set up Google Analytics to track referral traffic from AI sources — they show up as direct or in the referral report under domains like chat.openai.com and perplexity.ai.
- Track the qualitative angle as well: when AI mentions your brand, is it framed positively, neutrally or negatively? Is the information accurate?
Some SEO/brand visibility platforms now have formal AI visibility tracking across multiple platforms. But even without a paid tool, consistent manual testing across a defined query set gives you a meaningful signal.
Related Article: Click End Game: What AI Search Means for SEO, CX and Brand Visibility
The Brands That Move First Win
Search is shifting from a list of links to a synthesis-first model — Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO) — where AI agents act as the primary consumer of brand content, prioritizing sources that build comprehensive topical authority.
That trajectory makes brand visibility in AI answers less optional with each passing quarter. The brands you will see in an AI answer in six months are those creating signals today by building machine-readable websites and investing in structured content written for exactly how AI answers questions. They are also using schema markup to remove ambiguity, as well as earning mentions across the platforms AI draws from.
No one tactic will skyrocket you to a citation, but applying each of these at a consistent pace gives AI the up-to-date, authoritative signal it's looking for about your brand.