In the rapidly evolving digital landscape of 2025, appearing on the first page of Google is no longer the finish line! it’s the starting blocks. Today, users aren’t just “searching”; they are “prompting.” Whether they are asking ChatGPT for advice on liquor licensing, using Perplexity to research NZ compliance, or reading a Google AI Overview, the way information is consumed has fundamentally shifted.
At Elevare Digital, we have moved beyond traditional SEO to ensure Central Lakes Licensing is not just a search result, but a “cited authority.” Here is how we are optimizing their digital presence to rank on both prominent search engines and the AI platforms that are redefining the web.
Traditional SEO focused on specific keywords like “liquor license Central Otago.” While still important, Large Language Models (LLMs) like Claude and Gemini look for entities and contextual relationships.
Our Strategy: We’ve restructured the site’s content to establish Central Lakes Licensing as a definitive entity in the New Zealand licensing space. By linking their services to specific regional regulations, government bodies (like the ARLA), and industry standards, we provide the “semantic web” that AI needs to understand who they are and why they are an expert.
AI platforms don’t just list websites; they summarize them. To be the source that ChatGPT or Perplexity quotes, the content must be “scannable” by an algorithm but “authoritative” for a human.
Google’s AI Overviews and platforms like Perplexity prioritize sources that demonstrate real-world experience.
AI bots (like GPTBot or CCBot) crawl the web differently than traditional search engines. A site that is slow or uses outdated code can be “invisible” to an AI’s training window.
Ranking on AI platforms often means being mentioned outside your own website.
To see how these optimizations translate into real-world results, we’ve monitored how the world’s leading AI, ChatGPT, perceives and recommends Central Lakes Licensing. Here are three distinct ways the site is being prioritized: