✦ ChatGPT Visibility
How ChatGPT Ranks Businesses in Recommendations
ChatGPT doesn't use a traditional ranking algorithm. It retrieves relevant sources for a query and synthesises a recommendation from what it finds. Businesses that appear are the ones whose data appears in the highest-authority and most relevant sources ChatGPT retrieves — primarily Google reviews, GBP data indexed via Bing, and website content that directly addresses the query.
The retrieval and synthesis process: when ChatGPT receives 'who is the best renovation contractor in Edmonton', it browses for 'renovation contractor Edmonton reviews' and similar queries. It retrieves review platform pages, local directory listings, and website content from businesses in that category. It then synthesises this into a recommendation, weighting businesses that appear consistently across multiple retrieved sources over those that appear in only one.
Review data is the primary input for most local recommendation queries. ChatGPT reads review content — not just rating averages — and extracts specific themes. If your reviews consistently mention fast response, quality work, and fair pricing, ChatGPT may cite those specific qualities when recommending you. This means review content matters as much as review quantity. A review that says 'they replaced our furnace in one day, showed up on time, and cleaned everything up' gives ChatGPT more to work with than 'great company, highly recommend'.
Website content relevance: ChatGPT retrieves your service pages when they're indexed by Bing and match the query terms. A service page that describes the specific service in the query (furnace replacement, kitchen renovation) in Edmonton-specific terms is more likely to be retrieved than a generic services overview.
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