A test we ran in April: the same query, “best dental clinic for veneers in Tracyton WA,” returned three completely different sets of cited sources across ChatGPT, Perplexity, and Gemini. ChatGPT cited a national dental directory and one local clinic’s About page. Perplexity cited two review aggregators and the clinic’s Yelp listing. Gemini cited the clinic’s Google Business Profile, two Maps reviews, and one local news article.
The shape of the citation differs by engine because the retrieval pipeline differs. Gemini, more than the others, leans on Google’s own assets: Maps, Knowledge Graph, Business Profile, and the structured local data Google has accumulated over 20 years. Pages that get cited by Gemini look different from pages that get cited by ChatGPT. The work is different too.
Three sources Gemini weighs heavily that ChatGPT either does not use or uses less aggressively.
Google Business Profile (GBP). Gemini’s local responses are constructed in significant part from GBP data: the business name, the categories, the hours, the photos, the Q&A section, the reviews. An incomplete GBP is not just a Google Maps problem in 2026, it is an AI citation problem too. If your GBP is missing categories or has stale hours, Gemini’s local answers about your category will skip your brand and cite the competitor whose GBP is complete.
Google Maps reviews. Reviews on Google Maps, not third-party platforms, feed Gemini’s ability to summarize what customers say about a business. Review velocity, review sentiment, and review specificity all contribute. The shop with 80 detailed Maps reviews mentioning specific procedures is cited differently than the shop with 200 generic five-star reviews.
Google Knowledge Graph. Gemini cross-references brand mentions against Knowledge Graph entries for entity disambiguation. If your brand has a Wikidata Q-number that has propagated into Knowledge Graph, Gemini treats your brand as a recognizable entity. If not, the brand exists for Gemini only as text strings on web pages.
These are what we have shipped on accounts where Gemini visibility was the priority.
Move one: complete the Google Business Profile to 100 percent of available fields.
Most GBPs are 60 to 75 percent complete. The missing fields are usually: services list, products, attributes, Q&A entries, owner-uploaded photos in the last 30 days, and the description field. Each of these is a Gemini input. Completing GBP from 70 to 100 percent typically takes 2 to 4 hours of work and produces measurable Gemini citation lift within 14 to 30 days.
The piece most often missed: GBP Q&A. The Q&A section on a Business Profile is publicly editable, which means competitors and angry customers can post questions. Owners who do not actively manage their own Q&A end up with whatever questions get added by whoever, plus AI-generated suggested questions. Owners who post 5 to 10 of their own genuine Q&As (pricing, services, common questions) shape how Gemini summarizes the brand.
Move two: ship Wikidata before the entity work compounds.
We covered the Wikidata mechanic in the entity binding section of our cold-eyed strategy doc. For Gemini specifically, Wikidata matters more than for any other engine because the entry propagates into Knowledge Graph and Gemini reads Knowledge Graph as a primary source of truth about entities.
The Wikidata entry takes 30 to 60 minutes to create. The propagation into Knowledge Graph takes 4 to 12 weeks. Gemini’s behavior changes once the propagation lands: the brand starts being treated as a confirmed entity rather than as a string of text.
Move three: schema the brand-to-location relationship explicitly.
For multi-location businesses, the LocalBusiness schema with full address, geo coordinates, opening hours, and parentOrganization linking back to the umbrella brand is the structural signal Gemini uses to understand the location hierarchy. Single-location businesses can skip the parentOrganization but should still ship LocalBusiness schema with full fields.
The implementation is mechanical. The pages where the LocalBusiness schema lives (typically the location pages or the main contact page) start being treated as authoritative about that specific location’s data.
Move four: post photos to GBP weekly, not quarterly.
Gemini favors GBPs that show active maintenance. The signal is photo upload velocity, post frequency, and Q&A response time. The brands that upload one photo a week and answer Q&As within 48 hours are cited at higher rates than brands with identical static GBPs.
This is uncomfortable for some operators because it sounds like content production. It is, but the volume is low. One photo a week, one post a month, Q&A response within 48 hours. That is the bar.
The question we hear: “we are a remote SaaS, none of this applies, right?”
It applies less. But it applies. Two things matter even for fully remote services.
One. A service-area GBP still works for fully remote businesses. The category may be “Marketing Agency” or “Software Company” rather than “Dental Clinic,” but the GBP completion still feeds Gemini. NetPageTwo runs a service-area GBP for the United States. Maintenance still applies.
Two. Knowledge Graph propagation via Wikidata works the same way regardless of locality. Remote SaaS brands benefit from the same entity binding moves that local clinics do. The mechanic does not care about geography.
One honest counter-observation: Gemini’s heavy reliance on Maps and GBP can be unfair to remote brands competing against established local ones in the same category.
Example: a remote SEO consultancy with a service-area GBP will lose Gemini visibility, for “SEO services in [city]” queries, to a single-location local agency with a fully populated brick-and-mortar GBP. The local agency may be smaller and lower-quality. Gemini cites it more because Maps prioritizes the local entity.
We have not figured out a way around this on Gemini specifically. The workaround we use is to lean on ChatGPT and Perplexity citations for queries where the local bias hurts us, and accept that Gemini’s bias toward physical local entities is a structural fact of how that engine is built.
If your Google Business Profile is less than 100 percent complete, that is the highest-return single move for Gemini citation candidacy. The work is 2 to 4 hours. The data starts showing up in Gemini answers inside 14 days.
If your GBP is already complete and you do not have Wikidata, that is the next move. 30 minutes to create. 4 to 12 weeks to propagate.
If you want us to ship both on your brand this month, book the fit call. Productized SEO and AI search at $497 a month, no contract.
Related reading:
– How ChatGPT actually decides what to cite (three signals tested)
– Perplexity citations: how to get included
– GEO 101: Generative Engine Optimization Explained
– NetPageTwo vs Profound: service vs enterprise tool
