Google AI Overviews and ChatGPT answer the same question, "who's a good photography studio near me," in different ways because they draw on different information. AI Overviews (AI-generated summaries that appear above traditional search results) lean heavily on your Google Business Profile, reviews, and locally-ranked web pages. ChatGPT leans on its training data plus real-time web browsing, which means it tends to favor studios with strong, consistent mentions across review sites, editorial roundups, and their own website content. A studio that wants to appear in both needs to treat them as related but separate visibility problems, not one and the same.
What Google AI Overviews draw on for local photography searches
Google AI Overviews generate summaries by pulling from Google's existing local search index, meaning the same signals that affect your regular Google Business Profile ranking and map pack visibility carry directly into whether you get named in an AI Overview. Review volume, review recency, star rating, and how well your profile categories match the search phrase all matter. A studio with an optimized Google Business Profile and a page on its website that clearly matches phrases like "newborn photography studio" or "corporate headshot photographer" has a real shot at being cited by name.
Because AI Overviews sit inside Google's own ecosystem, they also favor businesses with structured, machine-readable information. Schema markup (code added to a webpage that tells search engines specific facts about a business, such as service type, location, and pricing) helps Google's systems understand exactly what a studio offers without guessing from unstructured text. Studios that have never touched schema markup are not invisible to AI Overviews, but studios that have used it correctly give Google's summarization system cleaner material to work with, which increases the odds of an accurate, favorable mention.
Location specificity matters more here than almost anywhere else. AI Overviews frequently answer "near me" style queries, so a studio's address, service area pages, and neighborhood-level content carry more weight than broad claims about being "the best photographer in the state." A studio that has built out individual pages for each type of session it offers, in the neighborhoods it actually serves, gives Google's local systems more specific material to match against a searcher's exact query.
What ChatGPT draws on when naming photographers
ChatGPT does not have direct access to your Google Business Profile the way Google's own AI Overviews do, so it relies on a mix of its training data and, when browsing is active, real-time web results. This means a studio's visibility in ChatGPT depends more on what's written about it across the open web: press mentions, wedding blog features, "best of" city guides, directory listings, and the studio's own website copy. If a studio has never been written about outside its own site, ChatGPT has far less material to pull from when a user asks for a recommendation.
Consistency across sources plays an outsized role in ChatGPT's answers. When multiple independent sources describe a studio the same way, using the same specialty terms and the same general location, ChatGPT is more likely to surface that studio confidently. A studio described as a "family portrait studio in your city" on its own site, in a local magazine feature, and in a directory listing builds a pattern ChatGPT can recognize and repeat. A studio with inconsistent or contradictory descriptions across the web gives the model less confidence to name it specifically.
ChatGPT also tends to favor studios that answer the implicit questions behind a query rather than just stating a service exists. A user asking "who should I book for maternity photos" is really asking about style, experience, and trust. Website content that speaks directly to those concerns, such as describing a shooting style, explaining what a session includes, or answering common client questions in plain language, gives ChatGPT usable material to summarize back to the user in a way that sounds like a genuine recommendation rather than a directory listing.