What is AI visibility in simple words?
AI visibility is about appearing in AI-recommended answers. The recommendation can be your brand, personal brand, product, or a service.
In simple words – when a customer enquires about something on AI search platforms like Google, Perplexity AI, or ChatGPT, the AI recommending the solution to them in its responses is considered AI visibility for a brand.
AI Overviews and AI citations are some of the daily-life examples of AI visibility.
Sometimes, AI directly mentioning a brand name or product name is also considered AI visibility.
How is AI visibility possible?
It varies from platform to platform.
Visibility on ChatGPT
GPT models are already trained with a certain amount of knowledge. The AI generates responses from its training data. If ChatGPT is recommending a product or service, it is more likely that the brand or service has already been part of its training data, unless ChatGPT uses web search for recent information.
Visibility on Perplexity AI
Perplexity AI uses advanced search for real-time information. It primarily relies on a retrieval mechanism (RAG) for sourcing information and generating answers.
RAG connects to external data sources like the web, news, live sources, and documents for recent and relevant information.
Perplexity recommending a brand or product means they are more likely to have been mentioned across the web multiple times and have built a good reputation.
Google’s AI visibility
Google AI collects information from already indexed webpages and summarizes the answers.
Google’s AI recommending a product or service means the brand has a solid web presence and well-optimized SEO in place.
What are the ways to achieve AI visibility?
Whether it is training data or retrieval, we must realize – AI is not just giving answers, it is evaluating before giving them.
If AI could only give answers from training data, there are many brands and products that have existed over the last decade, and AI should mention all of them too.
But being part of training data does not just mean writing for search engines or AI. It means genuinely appearing successful, trusted, and well regarded – the historical data available on the web gives clues to AI in many ways.
They can be your brand mentions, product reviews, ratings, testimonials, media publications, and more.
Note that AI has a lot of data available at its disposal on the web. AI can create the best answers and recommend the best suggestions to end users.
Tracing how AI works and formulates answers can help with strategy, but it does not guarantee results. AI has access to a lot of data from both the user and the provider. It tries to give what best matches the user’s intent.
So let’s talk about strategies that can take us a little closer to AI visibility.
One message across platforms
Your vision, mission, and message must remain consistent across all channels where you have a presence. It should reflect in everything that you do.
Reviews and recommendations
Reviews, ratings, and testimonials are direct social proof that support your brand and product. AI systems can evaluate these signals before recommending a product.
Media publications
Earning trust from high-authority sources like media publications, NGOs, and niche-specific directories can increase the credibility of your brand.
Participate in dialogue
Participate in Q&A platforms, summits, and podcasts where you can interact and exchange conversations – this helps your product reach more people and gain traction from sources beyond your own brand channels.
Multi-modality
It is not just webpages anymore. AI can read information in various formats and cite them too – they can be images with proper alt text, YouTube videos with clear titles and descriptions, infographics, and social media creatives from authority platforms like LinkedIn.
Conclusion
AI visibility does not come from dominating just one or two platforms. AI connects to multiple data sources available to it. It also evaluates consistency, tone, reputation, relevance, and conciseness before giving an answer based on what the user wants.
It is not just about dominating web presence – it is genuinely about earning trust from your audience, and AI often reflects the same.
