Key Findings
Newsroom Snapshot
- 68.3%: Business-profile information attached to ChatGPT local recommendations was accurate in SOCi's 2026 Local Visibility Index; Perplexity measured 68.0%.
- 100%: Gemini business-profile accuracy in that same SOCi study, which SOCi attributes to Gemini's grounding in Google Maps data.
- 94 of 100: South Carolina home-service businesses in SC Marketing & AI's August 2026 benchmark had their official website in Google's top 10 results for a standardized brand search.
- 93 of 100: Businesses in the South Carolina benchmark produced a matching local or entity feature in the captured Google result structure.
- 97%: AI users in BrightLocal's 2026 U.S. consumer research said they at least sometimes double-check AI business recommendations against real reviews.
These numbers come from different studies and measure different things. They should not be compared as if they were one scorecard.
A recommendation is only as useful as the facts attached to it
For a local business owner, AI accuracy is not an abstract technology question. It is much simpler.
If an AI system recommends a plumber but gives the wrong phone number, the lead can disappear. If it gives old hours, the customer can arrive when the business is closed. If it points to an outdated address or misunderstands the service area, the business can lose a customer without ever knowing why.
That is why accuracy deserves to be measured separately from visibility. Showing up is one problem. Showing up correctly is another.
SOCi's 2026 Local Visibility Index provides one of the largest current looks at that problem. Its research covered 2,751 multi-location brands and roughly 350,000 U.S. business locations. SOCi reports business-profile accuracy of 68.3% on ChatGPT recommendations and 68.0% on Perplexity recommendations. In practical terms, the study found incorrect addresses, phone numbers, or operating hours in roughly one out of three AI-generated local recommendations it measured.
U.S. National Multi-Location Benchmark
Business-profile accuracy in SOCi's 2026 local AI benchmark
Source: SOCi 2026 Local Visibility Index. Multi-location U.S. brands; not SC Marketing & AI original data.
Gemini reached 100% profile accuracy in SOCi's test. SOCi attributes that difference to Gemini being grounded directly in Google Maps data. That does not mean every Google listing on the internet is perfect. It means the tested Gemini answers and their underlying Google business data stayed aligned in that benchmark.
South Carolina businesses are usually easy to identify by name
SC Marketing & AI's own August 2026 research provides a useful South Carolina comparison at an earlier stage of discovery.
94 of 100
Official Website in Google Top 10
When searched by company name plus South Carolina, 94 official websites appeared in Google's organic top 10.
93 of 100
Matching Local / Entity Feature
93 branded searches returned a matching local pack or Google Business Profile feature.
That is encouraging. In most cases, when a customer already knows the company's name, Google can connect the name to an official site and business entity.
The harder question is what happens before the customer knows the name. That is when a discovery system has to choose among many possible businesses, pull facts from multiple sources, and decide what information is reliable enough to present.
Why conflicting information becomes more important in AI search
Traditional search gives a user room to compare. A person can open a business website, a Google profile, Yelp, Facebook, a local article, or a trade directory and make her own judgment.
AI-assisted search can compress that research into a single answer. That saves time, but it also means the system may have to reconcile information from several places before the customer ever sees it.
OpenAI explains that ChatGPT Search may rewrite a user's request into one or more targeted web searches and can use location information to improve local results. Google says AI Overviews and AI Mode may use query fan-out, issuing multiple related searches across subtopics and data sources before building a response.
The practical takeaway is not that a business needs a mysterious new AI trick. It needs clear facts that can survive being found in more than one place. (Learn more in our detailed Local Business Information Gap study).
Consumers are checking the answer, too
People are not blindly accepting every AI recommendation.
BrightLocal's 2026 Local Consumer Review Survey used a representative panel of 1,002 U.S. adults. In its AI-focused analysis, 97% of people who had used AI for local-business recommendations said they sometimes double-check those recommendations against real reviews. BrightLocal also found that 88% of AI users check either the legitimacy of a cited review or the source behind it.
That matters because the customer's next step may be a verification step. The information on the business website, review profiles, directories, and other public sources has to support the recommendation instead of contradicting it.
What a local business should keep consistent
The first accuracy audit does not need to be complicated. Check the facts a customer would use to make contact or decide whether the business fits:
- Business name and any public-facing brand variation
- Primary phone number
- Physical address, when customers visit a location
- Service area for service-area businesses
- Normal and holiday hours
- Primary category and core services
- Official website URL
- Active social and review profiles
- Current descriptions of what the business actually does
The goal is not to make every website repeat the same marketing copy. It is to make sure the basic facts tell the same story.
The bigger lesson
AI visibility is often discussed as a ranking problem. Accuracy research suggests a more basic question should come first: if a business is recommended, can the customer trust the facts attached to that recommendation?
For South Carolina businesses, the strongest starting point is straightforward: make the official site unmistakable, keep major business profiles current, correct outdated third-party information where possible, and periodically test the questions customers actually ask. (Review our South Carolina AI Discoverability Benchmark 2026 for statewide retrieval data).
Being recommended is valuable. Being recommended correctly is what gives the recommendation a chance to become revenue.
Methodology and limits
SC Marketing & AI's South Carolina figures come from the August 8, 2026 South Carolina AI Discoverability Benchmark. The research group contained 100 verified South Carolina home-service businesses across Greenville/Upstate, Columbia/Midlands, Charleston/Lowcountry, Myrtle Beach/Grand Strand, Florence/Pee Dee, Rock Hill/York County, and Aiken. It is not a probability sample of all South Carolina businesses.
The South Carolina portion of this article did not directly score the factual accuracy of consumer ChatGPT, Gemini, or Perplexity answers. It measured branded Google visibility and matching entity/local features. The AI profile-accuracy percentages come from SOCi's separate national multi-location study and are labeled as such.
2026 AI Discovery Research Series
Explore the Complete South Carolina Research Series
This article is part of SC Marketing & AI's 2026 research series examining how search behavior, AI retrieval systems, and web consensus impact local business discoverability in South Carolina.
Main study comparing AI search retrieval vs Google across 100 SC home-service businesses.
Analysis of Facebook, Angi, Reddit, BBB, and Yelp presence across 25 local searches.
Head-to-head comparison of official domain presence in AI retrieval vs. live Google SERPs.
Why missing or conflicting phone, address, and hours break AI recommendations before the click.
National consumer data on AI search adoption, chatbot usage, and review verification.
Baseline backlink and referring-domain profiles across SC regional markets.
