Winning Brand Visibility in the Age of AI
Learn how AI is changing brand discovery and the practical SEO/AEO strategies brands can use to improve visibility across search and AI answers.
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Search is no longer a straight line from a Google query to a brand’s website. People now use different platforms, from AI tools and traditional search to social media and online communities, and they search differently on each one before making a decision.
So, how can brands stay visible in the age of AI? In this blog, we look at what brands can do to show up across this new search journey.
1. Track How Your Brand Appears in AI Search
Start by testing how tools such as ChatGPT, Google AI Overviews, Gemini and Perplexity currently represent your brand.
Search for your company, products, services and priority commercial topics. Check whether the information presented is accurate and whether your brand appears alongside its main competitors.
For example, an electronics retailer should know whether it appears when someone asks:
Where is the best place to buy a 4K television in Ireland?
A brand gap analysis can then identify topics where competitors receive mentions or citations but your brand does not. This gives you a practical list of content and authority gaps to address.
2. Understand Real User Prompts
With AI search, people are asking longer and more specific questions to get more relevant answers. This means keyword research needs to go beyond short search terms and consider the real problems, preferences and circumstances behind each search.
A florist may traditionally target “florist Dublin”. In AI search, a potential customer might ask:
What are the best flowers to send for a new baby, and which florists offer same-day delivery in Dublin?
This prompt contains several useful entities and requirements: flowers, new babies, same-day delivery and Dublin. A florist could respond with a guide covering suitable flower types, gift etiquette, delivery areas, ordering deadlines and available arrangements.
Use customer conversations, site search data, Google Search Console, People Also Ask results, SEO and AI tools to identify these questions. Build new pages where a genuine gap exists and refresh relevant existing content where the topic is already covered.
3. Get the Technical Foundations Right
AI visibility still depends on strong technical SEO. Your content needs to be accessible and easy for search engines and AI tools to understand.
Review the following areas:
- Ensure search and AI crawlers can access important pages.
- Maintain accurate XML sitemaps, canonical tags and internal links.
- Add appropriate structured data, such as Organisation, Product, Article, LocalBusiness or FAQ schema.
- Use descriptive titles, headings and anchor text.
- Keep important information in crawlable HTML.
- Demonstrate experience with original examples, expert authors and supporting evidence.
4. Create Clear and Useful Content
Once AI tools can access your website, they need to understand your content and identify the most relevant information. Content should follow four principles:
- Bottom line up front: Answer the main question immediately.
- Atomic sections: Make each section understandable on its own.
- Entity-rich writing: Clearly name relevant products, places, services and organisations.
- Simple language: Use direct, declarative sentences.
Support your content with original examples, expert authors and reliable evidence. These signals help demonstrate experience and build trust with both users and search engines.
You do not always need to create something new. Refreshing existing content can be one of the quickest ways to improve visibility. Revisit priority pages regularly, update outdated information, strengthen the answers, add useful examples and improve the structure for both traditional and AI search.
5. Invest in Different Content Formats
AI platforms draw information from multiple formats. Research reported by Search Engine Land found that YouTube was cited 200 times more frequently than other video platforms across the AI tolls analysed.
Brands should consider video content as part of their strategy.
For YouTube content:
- Include the primary topic in the title and description.
- Say the topic clearly during the video.
- Add an accurate transcript.
- Use timestamps to create chapters.
- Link viewers to the most relevant page on your website.
6. Measure AI Visibility and Business Impact
Track AI referral sessions and conversions in GA4, but do not rely on traffic alone. AI-generated answers may influence a decision without producing an immediate website visit.
Measure a wider set of indicators:
- Brand mentions and citations
- Visibility for priority prompts
- Competitor share of voice
- Pages receiving AI referrals
- Assisted conversions and revenue
- Branded search demand
Establish a benchmark and repeat the same prompt set regularly. The objective is not simply to generate more AI traffic. It is to become a trusted and visible source wherever customers research their next decision. For more on AI Reporting, check out How to Measure Your Brand’s Visibility in AI Search blog.
Start Building Your AI Search Visibility Now
You do not need to wait for AI search to become a bigger source of traffic. Start your AEO strategy now.
Need help improving your brand’s visibility across traditional and AI search? Get in touch with our team today.
Frequently Asked Questions
Is SEO still important for AI search?
Yes. SEO is the foundation of AI search visibility. Strong crawlability, useful content, internal links, site structure and authority help AI tools find, understand and surface your brand.
Does schema markup guarantee an AI citation?
Schema markup does not guarantee a citation, but it helps AI tools understand your content, business and key entities. It should support clear, accurate and useful information on the page.
How should brands measure AI visibility?
Track mentions, citations, prompt visibility, cited pages, competitor share of voice, AI referral traffic and conversions. Compare these metrics against a consistent baseline over time.

Amanda Lemos is an SEO Specialist at Core Optimisation with over 4 years of agency experience across eCommerce, hospitality, retail and higher education. She specialises in organic search strategy, including SEO and GEO, with expertise in technical SEO, content strategy, website migrations, local SEO, search performance analysis, reporting and website accessibility.


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