5 Ways to Improve Your Brand's Visibility in ChatGPT and Perplexity

You have probably tested this yourself by now. You open ChatGPT or Perplexity, type in a question about your industry, and scan the response for your brand name. Sometimes you are there. Sometimes you are not. And when you are not, you have no idea why or what to do about it.

We work with brands facing this exact challenge every day at Trace. The good news is that AI visibility is not a black box. There are concrete, practical strategies you can implement to improve how AI search engines reference and recommend your brand.

In this guide, we are sharing five strategies that are working right now, based on what we have observed across hundreds of brands and thousands of AI-generated responses. These are not theoretical ideas — they are tactics you can start executing this week.

Strategy 1: Optimize Your Content for AI Citations

Getting your content cited is the closest equivalent to ranking on page one of Google in the AI search world. When an AI links to your content as a source, you gain both visibility and credibility.

Lead with clear, direct answers

For every major piece of content you create, identify the core question it answers. Put a clear, concise answer in the first 100 words. Think of it as writing the AI's answer for it.

Use structured, scannable formatting

Headers, subheaders, bullet points, numbered lists, and tables all make it easier for an AI to extract and reference specific information. Reformat content that is written as wall-of-text prose.

Include specific data and verifiable claims

A page that says "our platform improves efficiency by 40% on average" is more citable than one that says "our platform significantly improves efficiency." Original data is one of the strongest citation magnets.

Create comprehensive resource pages

Identify two to three topics where your brand has deep expertise. Create thorough, well-maintained resource pages on those topics. Update them regularly to keep them current.

Strategy 2: Build a Strong Presence on Reddit and Community Forums

This one surprises many marketers, but it is one of the most impactful levers for AI visibility. Reddit and similar community platforms are heavily weighted by AI models, both as training data and as retrieval sources. Perplexity frequently cites Reddit threads directly in its responses.

A glowing review on your own website is expected. A genuine recommendation from a real user on Reddit carries different weight.

How to build authentic community presence

This is not about astroturfing or fake reviews. AI models and communities are good at identifying inauthentic behavior.

• Encourage real users to share experiences. Include a prompt in your post-purchase flow or build a community program that rewards authentic advocacy.
• Have team members participate authentically. Answer questions, share expertise, and be transparent about their affiliation.
• Monitor and respond to discussions about your brand. Thoughtful responses to criticism and questions show up in the data AI models reference.
• Create discussion-worthy content. Research, case studies, and insights that members will want to discuss and share.

Strategy 3: Earn Editorial Mentions and Expert Citations

Think of each mention of your brand in an authoritative publication as a vote of confidence that AI models can count. The more frequently your brand appears in news articles, industry publications, expert roundups, and analyst reports, the more likely AI models are to reference you.

Types of editorial mentions that drive AI visibility

• News coverage. Product launches, funding rounds, partnerships, company milestones. Timestamped authority signals AI models value for recency.
• Expert roundups and comparison articles. "Best tools for X" and "Top solutions for Y" articles are heavily referenced. Getting included from authoritative publishers is one of the most direct paths to AI visibility.
• Thought leadership and bylines. Expert perspectives in industry publications build brand authority on specific topics.
• Analyst and research reports. Being included favorably is a strong AI visibility signal.

Practical steps

• Build relationships with journalists and editors who cover your industry.
• Create original research and data. Proprietary data is valuable because it cannot be found anywhere else.
• Respond quickly to relevant news and trends.
• Maintain an updated press kit and media page.
• Pitch comparison and roundup articles with specific, helpful angles — not generic "please include us" requests.

Strategy 4: Create Structured, AI-Friendly Content Architecture

Implement schema markup

• Organization schema — company name, description, founding date.
• Product schema — features, pricing, categories.
• FAQ schema — which AI models frequently reference.
• Review and rating schema — aggregated customer feedback.
• Article schema — blog posts with clear author and publication dates.

Build a comprehensive knowledge hub

Rather than scattering information across disconnected blog posts, build a structured knowledge hub or learning center. Organize content hierarchically with clear categories, related articles, and internal linking.

Create a definitive "about" presence

Write a clear, factual description of your company in plain language. Avoid jargon and marketing superlatives. Include: what your product does, who it is for, how it is different, when it was founded, and any notable achievements or partnerships.

Maintain a robust FAQ section

AI models love FAQ content because it directly mirrors how users ask questions. Cover common category questions, how your product works, comparisons with competitors, pricing, and technical/integration questions. Write each answer standalone so it makes sense without the question.

Strategy 5: Monitor, Measure, and Iterate Continuously

AI search is dynamic. Models update, training data changes, competitors adapt, and user behavior evolves. Without continuous monitoring, you are flying blind.

What to monitor

• Brand mentions across AI platforms. Your AI share of voice across ChatGPT, Gemini, Perplexity, Claude, and AI Overviews.
• Accuracy of AI descriptions. Inaccuracies mislead customers and need to be addressed.
• Competitive positioning. How you appear relative to competitors.
• Sentiment and framing. Not just whether you're mentioned, but how.
• Source attribution. Which sources AI models pull from for your brand and category.

How to use monitoring data

• Identify gaps. If competitors appear where you're absent, dig into why.
• Correct inaccuracies. Trace them back to the source on the web and fix them there.
• Double down on what works. Invest more in the content types and sources driving your visibility.
• Test and learn. Different content formats, publishing cadences, and outreach strategies.

Manual monitoring gives you a snapshot but not a complete picture. AI responses vary based on context, phrasing, timing, and platform. This is exactly why we built Trace — our platform automates AI visibility monitoring across all major platforms, tracking thousands of relevant queries continuously.

Putting It All Together

These five strategies are not independent. They reinforce each other. Great content earns editorial mentions. Editorial mentions drive community discussion. Community discussion builds the consensus that AI models rely on. And continuous monitoring tells you where to focus your efforts for maximum impact.

Start with an honest assessment of where you stand today. Then pick the one or two strategies where you have the biggest gaps and focus your initial efforts there. You do not need to do everything at once, but you do need to start.

The brands that will win in AI search are not the ones with the biggest budgets. They are the ones that start early, execute consistently, and measure what matters.