For two decades, SEO was synonymous with Google. You optimised for crawlers, earned backlinks, and watched your rankings climb. That playbook still works but it’s no longer the only game in town.
ChatGPT, Google Gemini, Microsoft Copilot, and Perplexity are fundamentally changing how people discover brands. Instead of typing keywords into a search bar, users are asking questions in natural language. And instead of clicking through ten blue links, they’re getting direct answers complete with citations, recommendations, and brand mentions.
The question isn’t whether AI will reshape discovery. It’s whether your brand will be part of that conversation.
At Tangible, we’ve been tracking this shift closely. Through our client work and analysis of AI citation patterns, we’ve developed a framework to help brands navigate what we’re calling AI visibility – the practice of making your content discoverable, citable, and trustworthy to large language models.
This isn’t about gaming algorithms. It’s about understanding how machines understand you and positioning your brand accordingly.
What AI Visibility Actually Means
Let’s start with definitions.
Large Language Models (LLMs) — systems like GPT-5, Claude, and Gemini — don’t search the web in real time during training. They learn from snapshots of the internet: web pages, forums, transcripts, research papers, and structured data. That’s the training data layer.
But when you ask ChatGPT or Perplexity a question today, it doesn’t just rely on old training data. It uses Retrieval-Augmented Generation (RAG), a fancy term for real-time web lookup. The AI retrieves fresh content, synthesises it, and generates a response with citations.
So AI visibility operates on three layers:
- Training data – Was your content part of the model’s foundational learning?
- Retrieval – Does your content show up when the AI searches for relevant information?
- Mentions – Is your brand referenced across trusted, high-authority sources?
Tangible Takeaway
AI visibility starts with understanding how machines understand you. It’s not just about ranking, it’s about being referenced, retrieved, and trusted across the web.
The Rise of Off-Page Mentions
Here’s where things get interesting.
Through our analysis of AI citation patterns, we’ve identified that branded web mentions (not backlinks) are emerging as the strongest signal for AI citations. When your brand is discussed across Reddit threads, Quora answers, YouTube transcripts, review sites, and industry forums, LLMs treat those mentions as social proof.
Think of it this way: backlinks tell Google you’re credible. Mentions tell AI you’re relevant.
AI models frequently cite:
- Reddit discussions (especially product recommendations and troubleshooting)
- YouTube video transcripts (tutorials, reviews, interviews)
- Quora answers (expert opinions and comparisons)
- Review platforms (G2, Trustpilot, Capterra)
- Industry publications and Medium articles
These aren’t always the same sites that dominate traditional search results. AI models prioritise context-rich, conversational content – the kind of content where real people discuss real problems.
Tangible Takeaway
In the AI era, relevance beats backlinks.Your brand’s visibility depends not just on where you’re linked, but where you’re talked about.
How to Optimise for AI Discovery
So how do you actually make your content more retrievable?
We’ve identified several characteristics that AI-cited pages share. None of them are revolutionary but together, they paint a clear picture.
1. Freshness Matters
AI models favour recently published or updated content. If your cornerstone pages haven’t been refreshed in three years, they’re less likely to surface in AI-generated responses.
Action: Implement a quarterly content refresh cycle. Update stats, add new examples, and revise outdated claims.
2. Write Declaratively
AI systems prefer clear, confident statements over hedging language. Instead of “This might help with…”, write “This solves X by doing Y.”
Avoid overusing passive voice or burying your point in caveats. Machines parse structure before nuance.
3. Use Entity-Rich Language
Entities — people, places, brands, products, concepts — are how LLMs organise information. The more clearly you define and connect entities, the better AI can contextualise your content.
Example:❌ “Our platform helps teams collaborate.”✅ “Tangible’s SEO services help Australian marketing teams optimise content for ChatGPT, Gemini, and Perplexity.”
The second version is packed with entities: brand name, service name, audience, location, and specific AI platforms.
4. Structure Content as Q&A
AI loves question-answer formats. Use headings that mirror real user queries:
- “How does X work?”
- “What’s the difference between Y and Z?”
- “When should I use this approach?”
Even better: include an FAQ section with schema markup.
5. Reduce JavaScript Reliance
If your content is locked behind heavy JS frameworks, it may not be easily crawlable — by Google or AI retrieval systems. Prioritise server-side rendering or static generation for key pages.
6. Publish Original Research
Data studies, surveys, and case studies are citation gold. AI models treat original research as authoritative, especially when it’s referenced across multiple sources.
Tangible Takeaway
Good writing for humans is now good training data for AI.Clarity, structure, and authority matter more than ever.
Fan-Out Queries Explained
One of the most important insights from our research into AI behaviour is how these systems use fan-out queries to answer complex questions.
When a user asks a long, multi-part question like:
“What’s the best project management tool for remote teams in Australia under $20/month with time tracking?”
…the AI doesn’t search for that exact phrase. It breaks the question into sub-queries:
- “Best project management tools for remote teams”
- “Project management software Australia”
- “Time tracking tools under $20/month”
Then it retrieves and synthesises content from multiple sources to construct a single answer.
What this means for you: Ranking for those individual sub-topics — even if they seem narrower than your main target keyword — dramatically increases your chances of being cited in complex AI responses.
Tangible Takeaway
Target the questions behind the question.Comprehensive topic coverage beats keyword repetition.
Building Entity Strength Beyond Your Site
AI doesn’t just read your website. It reads about your website.
That’s why off-site entity building is critical.
Here’s what that looks like in practice:
Wikipedia and Wikidata
If your brand, founder, or product has a Wikipedia page, you’ve dramatically increased your entity strength. Even a mention on a related Wikipedia page helps.
GitHub and Open Source
For tech brands, GitHub presence is a strong signal. Open-source contributions, well-documented repos, and active communities all build entity authority.
Research Papers and Citations
Academic mentions, white papers, and industry reports carry significant weight — especially in B2B and technical verticals.
Podcast and Video Transcripts
When your team appears on podcasts or webinars, those transcripts become part of the training data. Make sure they’re published and indexable.
Consistent Naming and Co-Mentions
Use the same brand name, product names, and key terms across all platforms. AI systems identify entities through pattern recognition inconsistency dilutes your signal.
Co-mentions matter too. If your brand is frequently mentioned alongside established players in your space, AI will associate you with that category.
Tangible Takeaway
AI builds context from connections – make yours unmistakable.Your brand’s strength is the sum of every mention, citation, and reference across the web.
The AI Visibility Stack
Common Mistakes to Avoid
As with any new frontier, there’s already a wave of opportunistic tactics that don’t work — or worse, backfire.
❌ Publishing AI-Generated Spam
Flooding the web with low-quality AI content doesn’t improve your visibility. It dilutes your authority and risks penalties from both traditional search engines and AI retrieval systems.
❌ Keyword Stuffing for AI
Repeating “ChatGPT-friendly content” 47 times on a page won’t help. AI models are trained to detect spammy patterns just like Google is.
❌ Fake Markdown “Prompts”
Some SEOs have experimented with embedding fake system prompts or markdown instructions in their HTML, hoping to manipulate AI responses. This doesn’t work — and when platforms catch on, it harms trust.
❌ Over-Optimising for One Platform
Don’t build your entire strategy around one AI model. What works for ChatGPT today may not work for Gemini tomorrow. Focus on fundamentals: clarity, authority, and genuine value.
Tangible Takeaway
Being everywhere means nothing if no one trusts what they find.Quality and consistency will always outlast shortcuts.
Introducing Tangible’s SEO Boost for AI Visibility
At Tangible, we’ve spent the last six months refining a service designed specifically for this shift: SEO Boost for AI Visibility.
It’s built for brands that understand SEO but need a clear path into the AI discovery layer.
What’s Included
1. AI Visibility Audit
We analyse how often your brand appears in AI-generated responses across ChatGPT, Gemini, Perplexity, and Copilot. We benchmark your entity strength, identify citation gaps, and map where your competitors are being mentioned.
2. Entity-Rich Content Optimisation
We rewrite or refresh cornerstone pages to improve clarity, entity usage, and retrieval likelihood. This includes schema markup, FAQ sections, and Q&A-style headers.
3. Off-Page Mentions & Authority Building
We develop a strategy for earning brand mentions in Reddit discussions, Quora answers, YouTube content, and industry publications – the places AI systems actually cite.
4. LLM Traffic Monitoring & Redirect Tracking
We help you track referral traffic from AI platforms, monitor brand sentiment in AI responses, and set up redirect strategies for AI-discovered pages.
Let’s Talk
Want your brand to show up in ChatGPT, Gemini, and Copilot?
Tangible’s SEO Boost for AI Visibility helps your content become part of the conversation.
Book a 30-minute strategy session or email us at .
Conclusion: Search Is Evolving — Your Strategy Should Too
SEO isn’t dying. It’s expanding.
The fundamentals still matter: great content, clear structure, authority, and trust. But the channels are multiplying. Visibility now spans traditional search, AI-generated answers, voice assistants, and conversational platforms.
The brands that thrive won’t be the ones chasing every algorithm update. They’ll be the ones building genuine authority creating content worth citing, earning mentions worth trusting, and showing up in the places their audience actually looks.
Search may be changing, but visibility still wins.
Let’s make sure AI knows your name.
Want to learn more about Tangible’s approach to digital strategy and SEO services? Explore our recent work or get in touch.