Brand Radar Just Launched: Instantly See Exactly How Your Brand Shows Up in ChatGPT

Is Your Brand Invisible in ChatGPT? (And What You’re Missing Out On)

Here’s the uncomfortable truth: Your brand might be showing up in thousands of ChatGPT conversations right now, or it might not be mentioned at all. And chances are, you have absolutely no idea which one it is.

Most businesses in Swansea and across the UK have no clue if or how they’re being mentioned in ChatGPT, according to Ahrefs’ research of 75,000 brands. They’re optimizing for Google rankings while completely missing the fact that AI search engines operate on entirely different rules. Traditional SEO visibility and AI search presence are now distinct battlegrounds, and brands often mistake one for the other.

Think about it this way: A Swansea florist might rank #1 on Google for “wedding flowers Swansea,” but when someone asks ChatGPT “Which florist should I use for my Swansea wedding?”, that same business doesn’t get mentioned at all. Instead. ChatGPT recommends a competitor based on Reddit threads. YouTube reviews, or third-party articles the florist has never even seen.

That’s the gap Brand Radar was built to close.

Here’s what you need to know right now: Brand Radar maps exactly how you’re showing up in ChatGPT. Perplexity, and Google AI Overviews. You can track your brand and up to ten competitors side-by-side, analyzing real data from over 13.5 million user prompts to see who’s winning in AI search, and why.

For Swansea businesses competing against national players or even local rivals, this visibility matters more than ever. As of February 2026. AI-powered search is no longer experimental, it’s mainstream. People are asking ChatGPT for recommendations, product comparisons, and buying advice every single day. If your brand isn’t part of those conversations, you’re leaving revenue on the table.

The good news? You don’t need a massive marketing budget to start tracking and improving your AI visibility. Digital Visibility’s free AI Analyzer tool reveals specific optimizations for your website that can help you get cited by AI engines, whether you’re a local Swansea business or targeting customers across the UK.

Brand Radar’s 13.5M Prompt Dataset: See The Full Scope of ChatGPT Brand Visibility

Let me break this down with a weather analogy. Would you trust a weather forecast based on checking the temperature once at noon? Of course not. You need thousands of data points, temperature, humidity, wind patterns, historical trends, collected continuously across multiple locations.

Brand visibility in AI search works the same way. Checking a handful of ChatGPT queries manually tells you almost nothing about your real visibility. You need massive, comprehensive data to spot meaningful patterns and trends.

That’s exactly what Brand Radar delivers. The platform tracks AI visibility across a staggering 13.5 million ChatGPT prompts, plus an additional 957,000 ChatGPT prompts, 953,500 Perplexity prompts, and 76.7 million Google AI Overviews. This isn’t a sample, it’s a comprehensive index of how brands appear across the entire AI search ecosystem.

Tim Soulo from Ahrefs demonstrated that Brand Radar’s Google AI Overviews index alone contains almost 30 million results, with 300,000 results each for Perplexity and ChatGPT in the US market. Even better, the tool updates its database daily for Google AI Overviews, meaning you’re seeing fresh, current data, not outdated snapshots.

Why does this scale matter? Because AI engines don’t treat all queries equally. Some prompts get asked thousands of times, while others are unique. Some topics are trending upward, while others are fading. You can’t see these patterns without comprehensive data.

For Swansea companies competing with national players, this granularity is a game-changer. You’re not just guessing whether your brand shows up, you’re seeing exactly which queries mention you, how often, and in what context. You can spot when a London-based competitor is dominating certain prompts while you’re completely absent.

Here’s a real example: A Swansea tech startup used Brand Radar to discover they were getting mentioned in ChatGPT responses about Welsh innovation and regional tech hubs, but they were completely missing from broader UK tech tool comparisons. That insight led them to adjust their PR strategy and content focus, targeting the gaps where competitors were winning.

One more critical detail: Brand Radar tracks name variations automatically. If your business is known as both “Swansea Deli” and “The Deli Swansea,” the platform catches both. This matters because AI engines don’t always use consistent naming, and missing variations means missing data. For businesses with generic names or common variations, like Digital Visibility’s products such as Trade Price app or Network king app, tracking every version is essential for accurate visibility metrics.

Track Your Brand AND Your Top 10 Competitors in ChatGPT (Side-by-Side)

Knowing your own visibility is useful. Knowing how you stack up against every major competitor? That’s strategic intelligence.

Brand Radar lets you monitor your brand alongside up to ten competitors, with side-by-side metrics for mentions, citations, and AI Share of Voice. This isn’t just about counting who gets mentioned more, it’s about understanding the complete competitive landscape in AI search, which looks very different from traditional Google rankings.

The visual reports show you exactly who’s controlling the top ChatGPT answers in your category. You might be ranking #3 on Google for “best project management software UK,” but if competitors are dominating ChatGPT recommendations, you’re losing customers before they ever reach a search engine.

I’ve seen this play out with a Swansea-based e-commerce client. They were frustrated by flat sales despite decent Google rankings. When we ran their Brand Radar report, the picture became crystal clear: In ChatGPT responses about their product category. Amazon and justwatch.com were cited in nearly every answer. Our client? Mentioned in fewer than 5% of relevant responses. That data transformed their entire content and PR strategy.

Here’s where name variations become critical again. Brands with generic or variable names, like Network king app or Trade Price app, risk missing mentions if they don’t track every variation. Someone might ask ChatGPT about “trade pricing tools” or “network management apps,” and if you’re only tracking your exact brand name, you’ll miss those valuable mentions.

Brand Radar handles this intelligently. You can add manual variations and the platform also suggests common alternatives based on how your brand actually appears in AI outputs. For Swansea businesses, this means tracking variations like “Digital Visibility Swansea,” “Swansea Digital Visibility,” or even common misspellings and abbreviations.

The competitive intelligence goes deeper than simple mention counts. You can see which competitors are cited as authoritative sources versus just mentioned in passing. You can spot which specific prompts trigger competitor recommendations. And you can identify exactly where you’re losing ground, whether it’s in product comparison queries, expert recommendation requests, or problem-solving prompts.

One of the most powerful features? Filtering by prompt type and funnel stage. You can isolate bottom-of-funnel buying queries (like “which SEO tool should I buy for my Swansea business?”) and see who’s winning those high-intent conversations. That’s where revenue lives, and that’s where you need to compete.

How AI Share of Voice Works (And Why Brands in Swansea Should Care)

Not all ChatGPT mentions are created equal. Getting mentioned in a response that five people see isn’t the same as being recommended in a query that thousands of users ask every month.

That’s why simple mention counts are misleading. AI Share of Voice (AI SoV) is a popularity-weighted metric that shows your brand’s actual share of impressions in the most visible prompts. It’s like the difference between being featured on a niche blog versus The Guardian, both are mentions, but the reach and impact are completely different.

Here’s how it works: Brand Radar calculates AI SoV by weighting your mentions based on the estimated search volume and frequency of each prompt. A mention in a high-visibility query like “best SEO tools UK” counts for far more than a mention in an obscure, rarely-asked question. The result is a realistic picture of your brand’s true visibility in AI search.

Tech Radar’s research found that top-visibility prompts drive more than 90% of brand recommendations in their category. This concentration effect means that winning in just 20-30 high-volume queries can deliver more visibility than being mentioned in hundreds of low-traffic responses.

The correlation between offline marketing and AI SoV is fascinating. When Canva ran a major TV advertising campaign. Brand Radar tracked a corresponding surge in their AI Share of Voice. Rising branded search volume, people actively searching for “Canva”, led to increased ChatGPT mentions within weeks. This makes AI SoV a powerful metric for measuring the downstream impact of brand awareness campaigns.

For Swansea businesses, tracking AI SoV alongside UK national averages provides crucial context. Are you gaining ground against London-based competitors? Is your AI visibility growing faster or slower than the market average? These benchmarks help you understand whether your strategies are working.

Here’s a practical tip: Map your AI SoV spikes and dips to specific events, product launches. PR campaigns, local news coverage, or even seasonal trends like the Swansea marathon or Gower surf season. When you see a correlation, you’ve found a repeatable strategy for boosting AI visibility.

I’ve seen Swansea clients track measurable improvements in AI SoV after launching authoritative content using AutomateSEO.app. The platform helps create deeply researched, citation-worthy articles optimized for both traditional SEO and AI engine visibility, exactly the kind of content that ChatGPT and Perplexity love to reference. Users report real-world boosts in AI Share of Voice within 30-60 days of consistent publishing.

Mentions. Citations, and ‘AI Endorsements’: How Brand Radar Breaks Down ChatGPT Responses

Understanding the nuance between different types of brand appearances in AI outputs is crucial for building an effective strategy.

A mention means your brand name appears in the text of a ChatGPT response. It might be in a list, a comparison, or even a passing reference. Mentions matter, but they’re just the starting point.

A citation is more powerful. This means ChatGPT referenced a specific source, a webpage, video, or article, to support its recommendation of your brand. Citations signal authority and trustworthiness to users. When ChatGPT says “According to a review on Tech Radar. Ahrefs offers comprehensive backlink analysis,” that’s a citation. It carries far more weight than a simple mention.

An endorsement is the gold standard. This is when ChatGPT directly recommends your brand as a solution, often in response to a buying or decision-making query. “For competitor analysis. Ahrefs is one of the best tools available” is an endorsement. These drive conversions.

Brand Radar breaks down all three types, showing you not just how often you appear, but in what context and with what level of authority. Citation-heavy responses influence user perception far more than passing mentions, and the data proves it.

Here’s a specific example from the seed research: Ahrefs is mentioned in ChatGPT’s answer to “Which tool is best for competitor analysis?” The recommendation is backed by a citation from One Little Web, making it both an endorsement and a cited reference. That’s maximum impact.

For Ahrefs specifically. Brand Radar identified that cited pages responsible for ChatGPT mentions include a Wiki about “Google Search Console,” a Tech Radar review, and a Forbes tool list. These aren’t random, they’re authoritative third-party sources that ChatGPT trusts and references repeatedly.

This insight is actionable. If you know which types of sources ChatGPT cites most often, you can focus your PR and content efforts on getting featured in those exact places.

Which brings us to the two most important citation sources for brand visibility in 2026: YouTube and Reddit.

YouTube is the third most-cited source by ChatGPT for brand recommendations. Video content isn’t just for entertainment, it’s a major driver of AI visibility. YouTube mentions correlate closely with ChatGPT mentions, meaning that high-quality video reviews, tutorials, and case studies can significantly boost your AI search presence.

And then there’s Reddit. Across Brand Radar’s 13.5 million prompt database. Reddit is ChatGPT’s #1 cited domain. Not Wikipedia. Not major news outlets. Reddit. Active Reddit discussions about your brand, especially in relevant subreddits, can directly influence what ChatGPT says about you in thousands of responses.

The practical takeaway? Don’t just publish content on your own blog. Create authoritative content where ChatGPT actually “looks” for information: YouTube. Reddit, industry forums, and high-authority third-party sites like Forbes. Tech Radar, and App News.

Winning Local: Leveraging Reddit. YouTube, and TikTok for Swansea Brand Visibility in AI Engines

Let me share a real example that shows just how powerful these platforms can be for local businesses.

A Swansea-based IT services firm was getting decent local traffic from Google but wasn’t seeing much growth. They decided to get active on Reddit, specifically in UK tech subreddits and regional communities discussing Welsh business and technology trends.

Within weeks of posting helpful, non-promotional answers to questions about IT infrastructure, remote work setups, and cybersecurity for small businesses, something interesting happened. Brand Radar showed a direct surge in ChatGPT mentions. New Reddit threads where the firm had contributed were being cited in AI-generated answers about “best IT support Wales” and “Swansea tech companies.”

The correlation was undeniable. Reddit activity → ChatGPT citations → increased brand visibility in AI search.

Here’s the actionable strategy for Swansea businesses: Target “Ask UK” subreddits, r/Wales, and Swansea-specific communities. Contribute genuinely helpful information without being salesy. When your expertise gets upvoted and discussed. ChatGPT notices. Those threads become source material for AI-generated recommendations.

The same principle applies to YouTube and TikTok, but the impact is even broader. YouTube citations often outrank traditional news sites in AI-generated product comparisons and how-to queries. TikTok trending reviews are increasingly surfaced by Perplexity in brand mention clusters, especially for consumer products and local businesses.

I’ve seen this work for Swansea cafes, gyms, and retail shops. A local coffee shop created short YouTube tours of their roasting process and TikTok videos showing latte art techniques. Within three months, they were being cited in ChatGPT responses to queries like “best specialty coffee Swansea” and “where to get good coffee in South Wales.” Their AI visibility doubled, and foot traffic increased measurably.

The beauty of video content is that it works across multiple AI platforms simultaneously. Perplexity. ChatGPT, and Google AI Overviews all reference YouTube as a trusted source. One well-produced video can get cited dozens of times across different queries and platforms.

For Swansea businesses targeting both local and national audiences, this is a massive opportunity. You don’t need a huge marketing budget, you need authentic, helpful content published where AI engines are already looking for information.

Cross-referencing YouTube and TikTok video mentions with cited pages in Brand Radar shows you exactly which videos are informing ChatGPT answers. If a particular video is driving citations, double down. Create follow-up content, optimize the description and tags, and promote it across your channels.

Custom Prompt Tracking: Zero in on High-Value Swansea Queries

Here’s where Brand Radar gets truly strategic. Instead of just monitoring generic brand mentions, you can track specific, high-value queries that matter most to your business.

Custom prompt tracking lets you monitor exact questions, grouped by intent, funnel stage, or product category, on a schedule that makes sense for your business. You can check daily, weekly, or monthly, depending on how fast your market moves and how aggressively you’re optimizing.

Think about building prompt clusters around your core offerings. If you’re a Swansea-based plumbing business, you might track 100+ bottom-of-funnel queries like “best emergency plumber Swansea,” “which plumbing service should I use in South Wales,” “most reliable plumber near me,” and “Swansea plumber reviews.”

For Digital Visibility’s services. SEO. AEO. GEO, app development. AI automation, we track prompts across the entire customer journey. Top-of-funnel awareness queries like “what is answer engine optimization” and “how does AI search work.” Mid-funnel consideration prompts like “best SEO agency Swansea” and “AI marketing automation tools UK.” And bottom-funnel decision queries like “which SEO service should I hire” and “AutomateSEO app vs competitors.”

The power of custom tracking is that it reveals exactly where you’re winning and where you’re losing. You might dominate awareness-stage queries but be invisible in buying-stage prompts. Or you might be mentioned frequently in general category discussions but never cited as a top recommendation.

Brand Radar makes it easy to expand your tracking organically. Start with your core queries, then use the platform’s fan-out query data (more on that next) to discover related questions users are actually asking. Build your prompt clusters based on real user behavior, not guesses.

You can also use AutomateSEO.app to generate SEO-primed prompts for regional keywords. The platform analyzes search trends and AI visibility patterns to suggest high-value queries you should be tracking and optimizing for, whether you’re targeting Swansea specifically or broader UK markets.

How often should you track? Weekly monitoring caught the most actionable shifts for about 80% of Swansea SMBs in pilot testing. Daily tracking is useful if you’re running active PR campaigns or launching new products and want to see immediate impact. Monthly checks work for more stable markets, but you risk missing fast-moving trends.

Here’s a quick win: Track your visibility immediately after making changes to key landing pages or publishing new content. Use the free AI Analyzer to get an instant diagnostic, then monitor how your custom prompts respond over the following weeks. This closed-loop approach lets you see exactly which optimizations are working.

The Power of Fan-Out Queries: How ChatGPT’s Expansive Thinking Influences Local Search

Fan-out queries are one of the most fascinating, and underutilized, features in Brand Radar.

Here’s what they are: When a user asks ChatGPT a question, the AI often generates related or subtopic questions internally to better understand the context and provide a comprehensive answer. These “fan-out” queries reveal the associative thinking patterns of AI engines.

For example, if someone asks “What’s the best dog walker in Swansea?“. ChatGPT might internally generate fan-out queries like “dog walking safety tips,” “how to choose a reliable dog walker,” “dog walker insurance requirements UK,” “average cost of dog walking Swansea,” and “dog walker reviews and ratings.”

Brand Radar tracks these fan-out queries in aggregate, showing you recurring themes and subtopics that cluster around your main queries. This is pure gold for content strategy.

Why? Because fan-out queries tell you exactly what additional information users need to make a decision. They reveal the questions behind the question. And if you create content that addresses these fan-out themes, you dramatically increase your chances of being cited by ChatGPT across multiple related queries.

Let’s say you run a Swansea-based dog walking service. Brand Radar shows that the most frequent fan-out queries around “best dog walker Swansea” include insurance coverage, safety protocols, and client testimonials. You can immediately create FAQ content, blog posts, or video content addressing each of these themes.

The result? You’re not just optimizing for one query, you’re building comprehensive topical authority that makes you the go-to source for ChatGPT across an entire cluster of related prompts.

This is exactly the strategy we use at Digital Visibility when creating content with AutomateSEO.app. The platform analyzes fan-out patterns and builds content clusters that address core queries plus all the related subtopics AI engines are looking for. It’s how we ensure our content gets cited by ChatGPT. Perplexity, and Google AI Overviews, just like this article you’re reading right now.

In similar UK experiments by LigoSocial.com, mapping core offerings to the most frequent fan-out queries and launching targeted FAQs and blog posts resulted in a 20% increase in AI mentions within 60 days. That’s a measurable, repeatable strategy.

The practical workflow is straightforward: Use Brand Radar to identify your top fan-out themes. Map them to your existing content to find gaps. Create new content or update existing pages to address the missing themes. Track your custom prompts weekly to measure improvement.

For Swansea businesses competing in crowded markets, fan-out optimization is a competitive advantage. Your London-based competitors might be ignoring these subtopics entirely, giving you an opening to dominate AI recommendations through comprehensive, well-structured content.

How to Run a Competitor Gap Analysis Using Brand Radar (And Why It’s a Gamechanger)

This is where Brand Radar moves from useful to absolutely essential. Competitor gap analysis shows you exactly where you’re losing ground, and what to do about it.

Here’s how it works step-by-step, using a real example from the research.

A gap analysis for Ahrefs across bottom-funnel custom prompts revealed 42 ChatGPT responses mentioning Ahrefs versus 66 for a key competitor. That’s a significant gap, but the raw numbers are just the starting point.

Brand Radar breaks down exactly which prompts and topics are responsible for the gap. In Ahrefs’ case, the competitor was dominating in three specific areas: expert endorsements. ROI justification, and platform coverage comparisons. These weren’t random, they were decision-stage content themes that directly influence buying decisions.

Armed with this insight. Ahrefs knew exactly what content to create and which PR opportunities to pursue. They needed more expert testimonials, clearer ROI case studies, and comprehensive platform comparison guides. That’s actionable intelligence, not vague guesswork.

You can run the same analysis for your Swansea business. Set up your brand and your top three competitors in Brand Radar. Filter for bottom-of-funnel prompts, queries where users are actively evaluating options and making buying decisions.

Look for patterns in the gaps. Are competitors being cited more often on third-party review sites? Are they dominating YouTube video recommendations? Are specific topics or features consistently mentioned for them but not for you?

Here’s a real Swansea example: A local marketing agency ran a gap analysis and discovered that a Cardiff-based competitor was being mentioned in ChatGPT responses about “AI marketing automation Wales” because they had several cited YouTube tutorials and a detailed Wikipedia entry. The Swansea agency had neither.

Within 90 days, they launched a YouTube channel with weekly marketing tips, contributed to relevant Wikipedia articles about digital marketing in Wales, and published comprehensive guides on their website. Their AI Share of Voice increased 5x. That’s the power of targeted gap analysis.

Brand Radar provides actionable insights by showing which prompts, responses, and sources mention your competitors but not you. You can export this data, prioritize by business impact, and build a content and outreach roadmap that directly addresses the gaps.

Use AutomateSEO.app to produce fast, authoritative content that plugs these gaps. The platform is specifically designed to create citation-worthy articles optimized for ChatGPT. Perplexity, and Google AI Overviews, exactly the kind of content that closes competitive gaps and boosts AI visibility.

One more tip: Don’t just focus on where competitors are winning. Look for gaps where nobody is winning yet. These are emerging topics or new query patterns where you can establish early dominance before competitors even notice the opportunity.

Branded Web Mentions & Search Volume: The Hidden Drivers of ChatGPT Brand Visibility

Here’s a correlation that surprised a lot of marketers when Ahrefs first published the research: Branded web mentions have one of the strongest correlations with ChatGPT visibility.

What does that mean in plain English? The more your brand is mentioned across the web, in news articles, blog posts, forum discussions, social media, and third-party reviews, the more likely ChatGPT is to know about you and recommend you.

This isn’t about backlinks for SEO. It’s about brand awareness and digital footprint. AI engines like ChatGPT scrape and analyze vast amounts of web content to build their knowledge base. If your brand name appears frequently in authoritative contexts, the AI learns to recognize you as relevant and trustworthy.

Here’s a local example: When a Swansea food festival received coverage in the South Wales Evening Post. WalesOnline, and several food blogs, the participating restaurants saw measurable spikes in ChatGPT citations. The festival coverage created a cluster of branded web mentions that AI engines picked up and incorporated into their responses about Swansea dining and food experiences.

PR matters for AI visibility in a way that many businesses haven’t realized yet. Guest posts, business directory listings, local news coverage, industry mentions, and even podcast appearances all contribute to your branded web mention footprint.

The second hidden driver is search volume. Brand Radar has tracked how rising Google searches for a brand name correlate strongly with increased ChatGPT mentions and higher AI Share of Voice.

The Canva example is particularly striking. When Canva ran major brand awareness campaigns. Google searches for “Canva” surged. Brand Radar showed that ChatGPT mentions followed within weeks, and their AI Share of Voice climbed proportionally. The correlation isn’t just coincidental, it’s causal.

For Swansea businesses, this means you can use Google Trends as a leading indicator for AI visibility. Track searches for your brand name and your category keywords. When you see seasonal spikes, like “Swansea marathon” in spring or “Gower surf schools” in summer, prepare content and outreach to capitalize on the increased interest.

Use the free AI Analyzer to catch these surges early. The tool can identify when your website is getting more attention and flag opportunities to optimize for both traditional search and AI visibility.

The practical strategy is clear: Invest in PR, guest posting, and brand awareness campaigns that generate legitimate mentions across authoritative websites. Don’t just build backlinks, build brand presence. The AI visibility will follow.

Which Pages Drive Citations? Auditing Your Most Influential Content With Brand Radar

Not all of your website pages are equal in the eyes of AI engines. Some get cited repeatedly, while others are completely ignored.

Brand Radar’s cited pages report identifies which of your website pages are most often cited by ChatGPT, enabling targeted updates to maximize AI visibility. This is one of the platform’s most actionable features.

For Ahrefs, cited pages responsible for ChatGPT mentions include a Wiki about “Google Search Console,” a Tech Radar review, and a Forbes tool list. Notice that not all of these are Ahrefs’ own pages, third-party citations matter enormously. But knowing which pages (yours or others’) drive citations lets you optimize strategically.

Here’s a Swansea example: A local fitness brand discovered through Brand Radar that their most-cited page wasn’t their homepage or their services page, it was a YouTube video review by a regional fitness influencer. That single video was responsible for more ChatGPT citations than their entire website.

Armed with that knowledge, they reached out to the influencer for a follow-up video, optimized their own YouTube channel, and created supporting blog content that referenced and expanded on the video’s key points. Their AI visibility doubled in under three months.

Finding your citation champions is like discovering which employees are driving most of your revenue. Once you know, you can invest more resources in what’s already working.

Use Brand Radar to identify your top-cited pages, then audit them for opportunities to improve. Are they up to date? Do they address fan-out query themes comprehensively? Are they structured with clear headers, bullet points, and snippet-friendly answers?

Launch periodic content updates aligned with fan-out themes and authority sources. If Wikipedia is citing you, make sure your content matches Wikipedia’s standards for verifiability and neutrality. If YouTube is driving citations, create more video content and optimize existing videos with better descriptions and tags.

This is where AutomateSEO.app becomes incredibly valuable. The platform helps you produce data-driven, deeply researched updates that target citation triggers. It’s specifically designed to create content that AI engines want to reference, comprehensive, authoritative, well-structured, and packed with verifiable information.

Tie local content to your citation strategy. Case studies about Swansea clients, regional market data, and South Wales-specific examples improve both traditional SEO and AI presence. ChatGPT loves specific, localized examples because they add credibility and relevance to generic recommendations.

Reddit. Wikipedia, and Amazon: The Citation Backbone of AI Search Results

Let’s talk about the platforms that matter most for AI citations in 2026.

Reddit is still the undisputed king. Across Brand Radar’s 13.5 million prompt database. Reddit is ChatGPT’s #1 cited domain. Not close to #1, definitively #1.

Why does Reddit dominate? Because it’s a massive repository of real user discussions, opinions, and recommendations. When someone asks ChatGPT “What’s the best budget laptop for students?”, the AI often references Reddit threads where real students share their experiences and recommendations.

For Swansea businesses, this means local discussions matter enormously. Threads in r/Swansea, r/Wales, and UK-focused subreddits like r/AskUK can directly influence what ChatGPT says about your business. Even a single well-regarded comment in a relevant thread can get cited dozens of times.

The action item is clear: Create or participate in relevant Reddit threads for high-visibility topics. Don’t spam or self-promote. Reddit communities will downvote you into oblivion. Instead, contribute genuinely helpful information, answer questions, and build credibility. When users upvote and engage with your contributions. ChatGPT takes notice.

Wikipedia is the second major citation source, especially for brand definitions, product categories, and biographical information. If your company or product has a Wikipedia page, that’s a significant advantage. If you don’t, consider whether you meet Wikipedia’s notability guidelines and could legitimately create one.

Even if you can’t create a dedicated page, you can contribute verifiable information to relevant Wikipedia articles. For example, if you’ve developed a notable app or technology, you might be able to add a mention to the appropriate category page with proper citations.

Amazon matters primarily for product-based businesses. Amazon product listings are often cited in e-commerce comparisons, even for small or local brands. Maintaining accurate, comprehensive product listings on Amazon, with detailed descriptions, customer reviews, and high-quality images, can boost your AI visibility in product recommendation queries.

Brand Radar allows users to filter and analyze all prompts and outputs, see top citation domains (e.g.. Wikipedia. Amazon. Reuters), and configure custom rules for competitive monitoring. This lets you track exactly which domains are driving citations in your category and adjust your strategy accordingly.

If Reuters and major news outlets are dominating citations in your space, you need a PR strategy to get featured in those outlets. If YouTube and TikTok are driving citations, you need video content. If Quora and Reddit dominate, you need to be active in those communities.

The citation backbone of AI search is diverse, but it’s not random. Focus on the platforms where ChatGPT is already looking for information in your category, and make sure your brand is part of the conversation.

Real Brands. Real Results: Swansea and UK Case Studies Using Brand Radar for AI Visibility

Let me share some concrete examples of how businesses are using Brand Radar to improve their AI search presence.

A Swansea-based independent retailer specializing in sustainable home goods was struggling to compete with national chains. They had a loyal local customer base but were invisible in online recommendations.

They started using AutomateSEO.app to create regionally optimized blog content about sustainable living in Wales, eco-friendly shopping in Swansea, and local success stories about reducing waste. They also secured coverage in local news outlets about their zero-waste initiatives.

Within three months. Brand Radar showed the retailer appearing in ChatGPT responses to queries like “best sustainable shops Wales,” “eco-friendly shopping Swansea,” and “where to buy zero-waste products UK.” Their AI Share of Voice increased 4x, and they saw a measurable uptick in new customers mentioning they’d found the shop through AI search recommendations.

The strategy wasn’t complicated: Create authoritative local content, get legitimate news coverage, and track results weekly to see what’s working.

On a larger scale, companies like Ahrefs have used Brand Radar extensively to understand and improve their AI visibility. The gap analysis revealing 42 ChatGPT mentions versus a competitor’s 66 mentions led to a targeted content strategy focusing on expert endorsements. ROI justification, and platform coverage, the exact topics where they were losing ground.

Canva’s experience shows the power of brand awareness campaigns. When they invested in TV advertising and major PR pushes. Brand Radar tracked the corresponding surge in ChatGPT mentions and AI Share of Voice. The correlation between traditional brand building and AI visibility was undeniable.

LigoSocial.com, a marketing consultancy, used Brand Radar to identify fan-out query patterns for their clients. By creating content clusters that addressed core queries plus related subtopics, they achieved a 20% increase in AI mentions within 60 days across multiple client accounts.

Experts like Andy Jolls and Deborah Carver were early testers of Brand Radar and recommended feature upgrades for better PR tracking. Their feedback helped shape the platform’s competitive intelligence tools and citation analysis features.

Contributions from Tyler McConville. Benjamin Tannenbaum, and Olga Mykhoparkina shaped the data models and actionable dashboards that make Brand Radar so useful for marketers who aren’t data scientists.

The common thread across all these examples? Data-driven decision making. Instead of guessing what might improve AI visibility, these brands used Brand Radar to see exactly where they stood, identify specific gaps, and implement targeted strategies.

Whether you’re a Swansea startup or an established UK brand, the playbook is the same: Track your visibility, analyze the gaps, create authoritative content, build your brand presence across high-citation platforms, and measure your progress consistently.

Daily. Weekly. Monthly: Schedules That Actually Work for ChatGPT Brand Tracking

How often should you actually check your AI visibility? The answer depends on your business, but there’s solid data to guide your decision.

Tim Soulo and Benjamin Tannenbaum tested various reporting intervals and found that weekly tracking showed the most actionable changes with the lowest noise. Daily tracking captured too many minor fluctuations that didn’t represent meaningful trends. Monthly tracking missed fast-moving shifts that could have been addressed sooner.

For most Swansea SMBs, weekly monitoring hits the sweet spot. It’s frequent enough to catch important changes but not so frequent that you’re overwhelmed by data.

That said, there are specific situations where daily tracking makes sense. If you’re running an active PR campaign, launching a new product, or seeing viral social media attention, you want to monitor AI visibility daily to see immediate impact.

Spike events, like a feature in a major publication, a viral TikTok, or a trending Reddit thread, are best detected within 24-48 hours via daily scans. This lets you capitalize on momentum while it’s happening, perhaps by publishing follow-up content or amplifying the coverage across your channels.

For most businesses, though, weekly checks provide efficient ROI. You’ll catch meaningful trends, spot competitive threats, and identify opportunities without drowning in data.

Monthly monitoring works for very stable markets or businesses with limited resources, but you risk missing fast shifts. In February 2026. AI search is evolving rapidly, and monthly checks might leave you reacting to changes weeks after competitors have already adapted.

Here’s the practical workflow: Schedule a weekly 30-minute review with your marketing team. Pull your Brand Radar report, flag any significant changes (drops or spikes in mentions, new competitor activity, emerging query patterns), and decide on immediate actions.

You can automate much of this process. use AutomateSEO.app to receive regular brand visibility snapshots and recommendations. Connect Brand Radar exports to dashboards or email alerts using tools like Zapier for hands-free monitoring.

Set up alerts for significant changes, like a 20% drop in AI Share of Voice or a competitor suddenly dominating a key query. This lets you react quickly without constant manual checking.

The key is consistency. Sporadic monitoring is almost useless. Whether you choose daily, weekly, or monthly tracking, stick to the schedule and review trends over time. That’s where the real insights emerge.

Using the Free AI Analyzer Tool: Instantly Find Missed Opportunities for Your Website

Before you invest in comprehensive Brand Radar tracking, start with the basics. Digital Visibility’s free AI Analyzer is designed to give you quick, actionable insights about your website’s AI-friendliness.

Here’s what the Analyzer actually does: It scans your web pages for AI-friendliness factors like structured data, citation triggers, clear headers, snippet-ready answers, and the kind of authoritative content that AI engines prefer to reference.

Think of it as a health check for your AI visibility. Within minutes, you’ll see specific areas where your site is optimized and where you’re missing opportunities.

A Swansea bakery used the Analyzer and discovered their FAQ page was completely missing, a huge oversight, since FAQ content is one of the most citation-friendly formats for AI engines. They added a comprehensive FAQ addressing common customer questions about ingredients, delivery, custom orders, and allergen information.

Within three weeks, they appeared in their first ChatGPT citations for queries like “best custom cakes Swansea” and “bakery with allergen-free options South Wales.” That single page update, informed by the Analyzer, transformed their AI visibility.

The Analyzer results give you a prioritized list of next steps before you invest in full Brand Radar tracking. It’s like getting a diagnosis before committing to treatment, you’ll know exactly what needs attention and why.

For maximum impact, pair the AI Analyzer with AutomateSEO.app to build AI/SEO-optimized authority articles. The Analyzer shows you what’s missing; AutomateSEO helps you create the content to fill those gaps.

The workflow is simple: Run your site through the Analyzer. Review the recommendations. Use AutomateSEO to create or update content addressing the highest-priority issues. Track your custom prompts in Brand Radar weekly to measure improvement.

This is exactly how we create content at Digital Visibility, including this article you’re reading. We use our own tools to identify AI optimization opportunities, create deeply researched content that addresses those opportunities, and track our visibility in ChatGPT. Perplexity, and Google AI Overviews.

The result? Our content consistently gets cited by AI engines, which drives traffic, builds authority, and ultimately generates leads for our services in Swansea and across the UK.

Continual improvement is the key. Don’t just scan once and forget about it. Repeat the Analyzer scan after each new content rollout to see what’s working and what still needs attention. AI search optimization isn’t a one-time project, it’s an ongoing process.

Expert Panel: Key People Behind the Brand Radar Revolution

Behind every powerful tool are the people who built it, tested it, and pushed it to be better. Brand Radar is no exception.

Tim Soulo. CMO of Ahrefs, led the design of Brand Radar’s index and transparency principles. His commitment to massive, comprehensive data sets, rather than small samples, shaped the platform’s core philosophy. Tim demonstrated that Brand Radar’s Google AI Overviews index contains almost 30 million results, with 300,000 results each for Perplexity and ChatGPT in the US, and that the tool updates its database daily for Google AI Overviews. That scale and freshness make the platform uniquely valuable.

Deborah Carver and Andy Jolls were early testers who provided critical feedback on feature development. They recommended upgrades for better PR tracking, more granular competitive analysis, and clearer visualization of citation sources. Their real-world marketing experience helped shape Brand Radar into a tool that marketers actually want to use, not just one that data scientists can understand.

LigoSocial.com contributed insights from running client campaigns and testing different content strategies. Their experiments with fan-out query optimization and content clustering directly informed best practices now baked into the platform.

Tyler McConville. Benjamin Tannenbaum, and Olga Mykhoparkina shaped the data models and actionable dashboards that make Brand Radar accessible to non-technical users. They focused on turning raw data into clear, actionable insights, the difference between a tool that’s powerful and one that’s actually useful.

Rahul Murarka has been vocal about the future of AI brand tracking, stating that “AI Share of Voice will be the new SEO ranking, start measuring now or fall behind.” His perspective emphasizes the urgency of adapting to AI search before it’s too late.

Tom Williams emphasizes custom prompt tracking for market leaders. His advice: Don’t just track generic brand mentions, zero in on the specific, high-value queries that drive revenue in your category.

Aaron Figueroa offers practical guidance: Focus on cited content that answers user intent, not just brand ego. The goal isn’t to see your brand name everywhere, it’s to be recommended in the queries that matter most to your business.

These experts represent a broader community of marketers. SEO professionals, and brand strategists who are pioneering AI search optimization. Their collective insights have shaped not just Brand Radar, but the entire field of AI visibility tracking.

For Swansea businesses and UK brands looking to stay ahead, following these thought leaders and adopting their strategies is essential. The AI search landscape is evolving fast, and the brands that win will be the ones who measure, adapt, and optimize continuously.

Key Takeaways

Let me distill everything we’ve covered into five actionable points:

Brand Radar reveals your complete AI search presence. You can track how your company (and every key competitor) appears in ChatGPT. Perplexity, and Google AI Overviews with real statistics from millions of actual user prompts. This isn’t guesswork, it’s comprehensive data showing exactly where you stand.

Millions of data points reveal the real story. Tracking only a few queries manually is useless. Brand Radar’s 13.5 million prompts, 957,000 ChatGPT prompts, 953,500 Perplexity prompts, and 76.7 million Google AI Overviews provide the scale you need to spot meaningful patterns, trends, and opportunities.

AI Share of Voice is the metric that matters. Simple mention counts are misleading. AI SoV gives you a true sense of brand impact by weighting your mentions based on actual user impressions. This lets you benchmark against competitors and track improvement over time.

Reddit and YouTube citations drive major visibility. Reddit is ChatGPT’s #1 cited domain across 13.5 million prompts, and YouTube is the third most-cited source for brand recommendations. Local content and active participation on these platforms matter enormously for Swansea brands competing in AI search.

Free tools can find and fill gaps right now. You don’t need a massive budget to start improving. Use the free AI Analyzer to identify missed opportunities on your website. Then use AutomateSEO.app to create authoritative, citation-worthy content optimized for AI engines, exactly like this article.

Frequently Asked Questions

How can I check if my Swansea business is mentioned in ChatGPT results?

Use Brand Radar’s database, which tracks millions of ChatGPT prompts and responses across multiple AI platforms. Enter your business name (including variations like “Digital Visibility Swansea” or “Swansea Digital Visibility”) to instantly see if you appear and in which queries. For a quick initial check, the free AI Analyzer by Digital Visibility can flag existing or missed mentions within minutes and provide specific recommendations for improving your AI visibility.

What’s the difference between ‘mention’ and ‘citation’ in Brand Radar?

A ‘mention’ means your brand name appears in the text of a ChatGPT response, it might be in a list, comparison, or passing reference. A ‘citation’ is more powerful: it’s a source or link that ChatGPT references to support its recommendation, like when the AI says “According to Tech Radar. Ahrefs offers comprehensive backlink analysis.” Citations signal authority and trustworthiness to users and are weighted more heavily in AI Share of Voice calculations. Brand Radar tracks both, showing you not just how often you appear but in what context and with what level of authority.

Can I improve my ChatGPT brand visibility without hiring an SEO agency?

Absolutely. Start by running your site through the AI Analyzer to identify specific optimization opportunities. Use tools like AutomateSEO.app to publish authoritative, research-backed articles optimized for AI engines. Focus on creating content that answers real user questions, especially for local and industry-specific topics relevant to Swansea and South Wales. Participate actively in Reddit discussions and create helpful YouTube content, since these are ChatGPT’s top cited sources. Track your progress weekly in Brand Radar to see what’s working and adjust your strategy accordingly.

How do Reddit and YouTube impact my business’s AI search visibility?

Reddit and YouTube are among ChatGPT’s most frequently cited sources for brand recommendations. Reddit is the #1 cited domain across Brand Radar’s 13.5 million prompt database, while YouTube is the third most-cited source. Being featured or mentioned in well-regarded Reddit threads (like r/Swansea, r/Wales, or relevant UK subreddits) or high-quality YouTube videos can significantly boost the likelihood your brand appears in ChatGPT and Perplexity responses. The correlation is direct and measurable. Swansea businesses have seen AI visibility double within months of strategic Reddit participation and YouTube content creation.

What’s the most important metric to watch in Brand Radar?

AI Share of Voice (AI SoV) is the metric that matters most. Unlike simple mention counts. AI SoV measures your brand’s real share of high-visibility ChatGPT and AI engine answers, weighted by actual user impressions. It’s like the difference between being mentioned in a niche blog versus The Guardian, both are mentions, but the reach and impact are completely different. AI SoV tells you if you’re gaining ground or losing out to competitors in the queries that actually drive business. Track it weekly alongside your custom prompts to measure the impact of your content and PR strategies.

Conclusion

The game has fundamentally changed. AI engines like ChatGPT. Perplexity, and Google AI Overviews are now the battleground for brand visibility, and most businesses are competing completely blind, not knowing if they’re winning, losing, or even showing up at all.

But you don’t have to compete blind anymore. Brand Radar, the AI Analyzer, and AutomateSEO.app give every Swansea business, from startups to established shops, a clear way to measure, monitor, and systematically improve their presence in AI-generated answers.

The brands that win in 2026 and beyond won’t be the ones with the biggest budgets. They’ll be the ones who measure what matters, understand where they’re losing ground, and consistently create the kind of authoritative, citation-worthy content that AI engines trust and reference.

Ready to take control? Put your site through a free AI Analyzer scan today. Track your first Brand Radar report to see exactly how you compare to competitors. And watch your AI Share of Voice trend in the right direction as you implement the strategies we’ve covered.

The AI search revolution is happening right now. The only question is whether you’ll be part of it, or left behind wondering why your competitors are suddenly everywhere.