5 Steps to Improve Your Brand's Visibility in AI

AI platforms like ChatGPT are rapidly reshaping how consumers discover information, research products, and make purchasing decisions. With approximately 400 million weekly active users as of February 2025 , AI is no longer experimental, it’s mainstream.

At the same time, traditional search is shifting. Google’s AI Overviews are reducing organic click-through rates, and zero-click searches now account for 58.5% of queries . In this evolving landscape, brands must optimize not just for search engines, but for large language models (LLMs).

Here are five practical steps to improve your brand’s visibility in AI systems like ChatGPT.

1. Get Basic Schema in Place

If you want AI to understand your content, you need to “speak its language.”

Schema markup is structured data added to your website that helps search engines and LLMs interpret your content more clearly. While LLMs can understand context, schema provides an explicit breakdown of key information.

For example, a recipe page with schema can clearly define:

• Ingredients
• Cooking time
• Instructions

This structured format improves how content is interpreted and surfaced in AI-generated responses.

Start with foundational schema types:

• Company/Organization schema (core business details)
• Product schema (price, availability, reviews)
• Article and BlogPosting schema
• Person schema (author information)
• LocalBusiness schema (physical locations)

Use tools like Schema Markup Validator to test implementation.

Think of schema as clarity infrastructure. The clearer your data, the easier it is for AI systems to reference your brand accurately.

2. Create Valuable, People-First Content

There is no shortcut here.

LLM optimization starts with exceptional content written for humans, not algorithms. The core principle is simple: prioritize the audience.

Your content should:

• Solve real problems
• Provide genuine insight
• Offer unique perspectives
• Leave users satisfied

Traditional SEO best practices still apply. Structure content clearly using headings, bullet points, and strong information architecture. Apply technical basics like title tags, meta descriptions, and keyword research .

But quality is the differentiator.

AI systems favor content that demonstrates depth and originality. Cover topics thoroughly. Go beyond surface-level commentary. Provide practical examples, data, or experience-backed advice.

Brands that consistently publish high-value content become natural reference points, and that’s what AI systems tend to cite.

3. Strengthen E-E-A-T and Author Credibility

As AI makes content generation easier, quality signals matter more than ever.

Google and other systems rely heavily on E-E-A-T:

Experience, Expertise, Authoritativeness, and Trustworthiness .

This is especially critical for YMYL industries (Your Money or Your Life) like healthcare, finance, and legal sectors .

To implement E-E-A-T effectively:

Create Detailed Author Pages

Author pages connect content to real, credible individuals . Include:

• Educational background (with institutional links)
• Industry experience
• Awards or recognitions
• Current role in the business
• LinkedIn or professional profiles

Each article should clearly state the author and link to their author page.

Use Citable Sources

Incorporate references, peer-reviewed research, and fact-checked data where appropriate . The guide shows an example article referencing 26 sources to increase credibility .

Credibility compounds. The more trustworthy your content appears, the more likely AI systems are to prioritize it.

4. Earn Citations and Mentions

External validation plays a powerful role in AI visibility.

Much like backlinks in traditional SEO, reviews, mentions, and external references help LLMs identify trusted sources . The guide illustrates how multiple websites referencing the same insurance company increases the likelihood of that brand appearing in AI outputs .

To earn citations:

Invest in Digital PR

Pitch insights, research, or commentary to journalists and media outlets . Data-driven content tends to attract coverage.

Guest Post on Reputable Sites

Contributing articles to authoritative publications can generate backlinks and brand exposure .

Leverage Social Media

Link back to your website and create shareable content that encourages engagement.

High-quality content increases the likelihood of being referenced. The more your brand is cited across the web, the stronger its signal becomes in AI systems.

5. Measure AI Visibility Performance

Optimization without measurement is guesswork.

Several tools now track brand visibility across LLM platforms, including Profound, Scrunch, Peec, and SEMrush . These platforms vary in coverage and pricing but provide insight into how your brand performs in AI-generated responses.

For a simpler starting point, track referral traffic from ChatGPT using Google Analytics 4. You can integrate this data into dashboards like Google Looker Studio for easier reporting.

AI visibility is measurable, and brands that monitor it can iterate strategically.

Ready to Make Your Brand Visible in AI?

AI-powered discovery isn’t the future, it’s happening now. If your brand isn’t structured, cited, and optimized for LLMs, you’re already falling behind.

At NightJarr, we help brands deploy exciting AI focused strategies. Contact us for a consultation today!

This article was written by an AI + human hybrid.