A regional dental group with 40 locations checks how Gemini answers “dentist open now near [suburb].” The answer names one location, links straight to that practice’s own page, and skips the directory listings that used to dominate that query. That result is not unusual. Gemini’s local business answers are increasingly favoring business websites over directories and review aggregators, and the shift changes what multi-location brands need to build into their structured data.
Key Takeaways
- Gemini treats a business’s own website as the primary entity source when its structured data agrees with Search and the knowledge graph, pushing directories into a supporting role.
- Directories and review aggregators still shape training-data presence and sentiment, but retrieval-time citation increasingly goes to owned location pages with current markup.
- Multi-location brands need LocalBusiness schema built at the location-page level, not just the homepage, or Gemini defaults to whichever directory listing looks most consistent.
What Gemini Is Actually Doing When It Answers a Local Query
Gemini cross-references Search, YouTube and Scholar when it builds an answer. For a local query, that means it draws on Google’s local index, the knowledge graph entry tied to the business, and whatever structured data sits on the business’s own domain. A directory listing used to be one of the fastest paths into that index. Now it often functions as just one more data point Gemini checks against the source.
When the business’s own page carries accurate LocalBusiness markup, current hours, and a matching address, Gemini has a direct line to the entity itself rather than a secondhand copy of it. Directories still get crawled and still feed the aggregate picture. But when Gemini has to decide which link to surface, the page that speaks for itself tends to beat the page that speaks for an entire category of businesses.
Why the Business’s Own Page Wins Over the Directory
Trust, in the way models use the term, is a graph of agreement across independent sources rather than a single score like domain authority. A directory entry, a review aggregator profile, and the business’s own site all feed that graph. When all three agree on the same hours, the same address, and the same service list, the business’s own page becomes the node the model can point to directly, since it is presumably the source the other two copied from in the first place.
Staleness is where a brand loses its citation. Directories update on their own schedule, often quarterly or whenever a listing gets manually refreshed. A business website with structured data tied to a content management system can update hours the same day a holiday schedule changes. Gemini favors current answers, and current answers increasingly live on the domain the business controls, not on the aggregator that copied it last year.
A directory listing is one voice in the trust graph. A business’s own page, kept current, can become the voice Gemini trusts most.
growth in AI brand presence for NewDay USA, tracked weekly across five engines over six months.See the case study
Structured Data That Actually Moves the Needle for Multi-Location Brands
For a single-location business, one LocalBusiness schema block on the homepage covers most of what a model needs. For a 40-location brand, that same block on the homepage tells Gemini almost nothing about any specific store. Each location needs its own page, and each page needs its own markup: address, phone, hours, geo-coordinates, and the specific services that location actually carries.
The most common failure is a single sitewide schema block duplicated across every location page with only the address swapped. Gemini can detect when structured data does not match the visible page content, and a mismatch between the schema and the page copy reads as a trust problem, not a technical glitch. Name, address and phone need to match exactly across the schema, the page text, and whatever the directories say. Any deviation becomes a hole in the agreement, and the model’s answer pays the cost.
Where Directories and Review Aggregators Still Earn Their Keep
Share of Citation, how often a model actually names and links a brand as a source, is a different measure from Share of Voice, how often a brand gets mentioned across the web overall. Directories and review aggregators can carry a brand’s Share of Voice for years without ever converting into Share of Citation, because a mention buried inside an aggregate review page is not the same as being named as the source of an answer.
Directories still matter for a different reason: training-data presence. Wide, consistent coverage across review platforms and local directories builds the background familiarity a model draws on before it ever retrieves a live page. Retrieval presence, the technical layer, is what determines whether the model cites the business’s own site or a copy of it during a specific answer. A multi-location brand needs both layers working, and should not mistake steady directory coverage for actual citation.
Building the Structured Data That Gets Cited
Start with an audit, one location page at a time. Confirm each page carries its own LocalBusiness schema rather than a homepage block copied across the site, and check that the schema’s address, phone and hours match what is written on the page itself.
Next, pull the top three directory listings for each location and compare them against the schema. Fix any address formatting mismatch, closed-location leftovers, or old phone numbers before they compound into a trust gap Gemini has to resolve on its own.
Finally, treat this as ongoing work rather than a one-time cleanup. Run a Gemini query for a handful of real local searches every few weeks and note which page it surfaces. If a directory keeps winning over the business’s own page, that is a signal the schema or the page content needs another pass, not a signal to abandon the directory.
FAQs
Does Removing Directory Listings Help Gemini Cite Our Website Instead?
No. Removing listings does not help, and it can hurt, since directories still feed training-data presence and the broader trust graph. Keep listings accurate rather than trying to delete them.
How Many Locations Need Individual Schema Before This Matters?
Any brand with more than one physical location benefits, because a single sitewide schema block cannot accurately represent multiple addresses, hours or service areas at once.
What Is the Fastest Way to Check What Gemini Currently Cites for a Location?
Run the local searches a real customer would use and note which link Gemini surfaces. Repeat this over several weeks, since the answer can shift as directories and the business’s own pages refresh.
Do Other AI Engines Behave the Same Way for Local Queries?
No. Perplexity cites its sources inline, so a local answer there often shows the directory or the business site directly in the citation list. ChatGPT pulls from across the open web more broadly, which can keep directories in the mix longer than Gemini does.
