Traditional methods of SEO are fine, but as the digital world demands, you need to serve in order to rank higher in the search engine result pages. Look how you can measure and improve the brand’s presence in ChatGPT.
You must have spent time understanding the shifts happening in users’ search for information. Those were the days when a simple keyword running was the sole indicator of a successful business. The time has changed because now, with the rise of conversational AI and large language models (LLMs) like ChatGPT, a new dimension of visibility has emerged.
It is time to move ahead while keeping keywords and AI both in view. Understand what ChatGPT’s visibility score is and how your brand can improve its presence in ChatGPT.
What is ChatGPT’s Visibility Score?
A ChatGPT visibility score is a measure of how strongly AI systems like ChatGPT can connect the brand with specific topics, problems and user queries. You can think of it as the brand’s reputation and authority within the AI’s knowledge graph.
When a user asks ChatGPT a question related to the industry or an issue your business solves, a higher visibility score increases the likelihood that your business will be mentioned, referenced or even recommended as a solution. This is fundamental to understanding brand discoverability in AI-native interfaces. It moves beyond traditional search engine optimisation to what we can call answer engine optimisation (AEO).
How to Measure Your Brand’s Presence in ChatGPT?
Measuring your brand’s presence in ChatGPT involves tracking mention frequency, sentiment, and share of voice across key industry queries using tools like Semrush AI Visibility, Arvow, or Ahrefs to analyse how AI describes your products. Here is how to measure the presence in ChatGPT:
- Use tools like Arvow, Semrush’s AI Visibility Toolkit, Keyword.com’s AI tracker, or Ahrefs’ Brand Radar to track how your brand appears in ChatGPT and other LLMs. These tools automatically run hundreds of queries to track movements over time.
- Create a “seed list” of 10-20 (or more) conversational, natural language questions your customers ask, such as “What is the best CRM for small businesses?” Manually, enter these into ChatGPT to see if your brand is recommended, how it is described, and who the competitors are.
- Monitor these metrics, monthly or quarterly, to track changes in visibility.
Now, how can you improve the brand’s presence in ChatGPT?
Improve Brand’s Presence in ChatGPT
To effectively manage and improve the AI presence of your brand, consider utilising specialised AI visibility optimisation platforms. These tools help businesses navigate this new landscape, offering features like:
- AI search visibility tracking, which helps monitor how the brand appears in AI search results and helps identify gaps.
- Content analysis for AI readiness tools helps assess the content for clarity, consistency and structure from an AI perspective.
- Competitor AI visibility benchmarking helps understand how the competitors are performing in AI-driven search.
These platforms are essential for developing a robust AI SEO strategy and understanding the AEI scores. These tools offer a practical framework for visibility without relying solely on traditional clicks.
What is the Primary Goal of Improving ChatGPT’s Visibility Score?
The primary goal of improving your ChatGPT visibility score is to ensure your brand is recognised, trusted, and recommended by AI models when users seek information, ultimately driving brand awareness and consideration. It aims to establish your entity as a credible, authoritative source, shifting from just appearing in lists to becoming a directly cited, go-to answer in conversational, AI-generated search results.
Can Traditional SEO Practice Still Help ChatGPT’s Visibility Score?
Yes, you still need traditional SEO practices. Strong SEO practices build domain, ensure content quality and establish clear entity presence on the web, providing a strong foundation for AI visibility.
What are the Key Components of Measuring Brand Impact in an LLM-First World?
Measuring brand impact in an LLM-first world requires tracking how AI models perceive, mention, and recommend a brand. Key components include assessing entity presence, sentiment within AI-generated answers, visibility in “best of” lists, and citation frequency across authoritative sources. It involves moving beyond traditional SEO to monitor AI-driven search (ChatGPT, Gemini) to understand how brand authority is constructed, structured, and cited by AI.
How Does Content Structure Affect AI Visibility?
Well-structured content with clear headings, subheadings, logic flow and appropriate use of semantic markup helps AI models easily crawl and understand the information. It makes it more likely to be referenced in AI overviews.
Make your content AI worthy with well-structured information. Take help from SEO Services. Look for the latest trends and SEO practices regularly so that you can move ahead with time.