1 in 4 Shoppers Now Price-Checks With ChatGPT — and Only 32% Trust Your Price

Flat-vector illustration of a shopper silhouette holding a smartphone with a chat bubble containing a magnifying glass and price-tag icon, comparing three storefront cards each showing an identical price tag, on a dark navy background with electric-blue accents

On September 23, 2026, product-data company Akeneo released a new PX Pulse survey — conducted by Dynata in August 2026 among 1,000 U.S. consumers 18 and older — and the findings describe a shopper who has stopped taking any single price at face value. Fifty-nine percent say price matters more to them than it did six months ago. Only 32 percent completely or mostly trust retailers to offer a fair or competitive price. And buried in the same dataset is the number that should matter to every local business owner: nearly a quarter of consumers — 24 percent — already use tools like ChatGPT or Google Gemini to compare prices and deals, and 56 percent trust AI tools to give them accurate pricing information.

The short version: the comparison shop that used to happen across three browser tabs now happens inside one chat box. And the business being compared often has no idea it was in the running. Here's what the data actually says, what it does not say, and what it means for a Temecula or Murrieta business whose "price" is a quote, a menu, or a monthly rate.

The Numbers: A More Deliberate (and Distrustful) Shopper

The survey's clearest theme is patience — shoppers are willing to wait out a price they don't like. Seventy-nine percent have delayed a purchase because they believed the price would drop later. Nearly half (46 percent) compare prices across multiple retailers when shopping online, and only 9 percent typically buy without comparing at all.

That comparison behavior is also why inconsistencies are getting caught. Seventy-seven percent noticed the same product at different prices across retailers or platforms in the past year, and 68 percent at least sometimes pull up a store's own website or app while standing in the store to check whether the online price is lower. When the numbers don't match, it registers as a trust problem, not a bookkeeping quirk: only 32 percent trust retailers to offer a fair price, and 57 percent say they'd trust a retailer less if they learned a price had changed based on their personal information or shopping behavior.

One honest caveat, because it matters: the 56 percent who trust AI tools for accurate pricing and the 32 percent who trust retailers to be fair were asked different questions. The survey doesn't literally say "shoppers trust ChatGPT more than your business." What it does show is that a majority already extends trust to AI tools on pricing accuracy while only about a third extends it to merchants — two separate signals pointing the same direction: the intermediary is gaining trust ground the merchant is losing.

AI Is Becoming the Comparison Layer

For years, "AI shopping" meant hypothetical agents completing purchases for you. The checkout part keeps stumbling. The research part quietly shipped anyway — not as a product, but as a behavior: people typing "is $X a fair price for Y" or "who's cheaper for Z near me" into the same chatbot they use for everything else. Twenty-four percent of consumers already do exactly that with ChatGPT or Gemini, and the holiday-shopping expectations in the survey show where this goes next: 40 percent of consumers expect to lean on retailer websites to judge whether they're getting a good deal, 37 percent on search engines, and 24 percent on AI tools specifically.

Akeneo's own read is aimed at retailers with product catalogs: when an AI assistant encounters conflicting prices across sources, it can struggle to decide which one is reliable — and that can decide whether a product gets recommended at all, or produce a mismatch between what the shopper was told and what checkout says. That's an e-commerce framing, but the underlying mechanics apply to any business whose information lives in more than one place.

What This Means When You're Not a Retailer

Most businesses in this valley don't have 500 SKUs. Your "product data" is thinner but no less exposed: your service list, your hours, your services area, your starting prices or "get a quote" page, your Google Business Profile, your Yelp listing, your Nextdoor mentions, the photos on your site that still show a menu from 2024. When a local customer asks an AI assistant — or Google's own AI answers — "what do landscapers charge in Murrieta" or "is this a fair price for a water heater install," the answer is assembled from exactly those fragments.

Three practical consequences fall out of the survey:

Consistency is now a trust asset, not housekeeping. The 77 percent who caught price mismatches across retailers were shopping national brands. Your equivalent mismatch — a rate on your website that differs from what's quoted on the phone, hours on your profile that differ from your site — gets caught with the same 68-percent-style cross-checking, and it costs you before you ever know you were evaluated.
Published pricing beats "call us" more often than it used to. When only 32 percent of shoppers default to trusting a seller's price, the ones who do see a clear, current price — and find the same number wherever they look — are being reassured at the exact moment the market is losing that reflex. For service businesses, even an honest "starting at" range, kept current, works in your favor. (Ours are published and flat-rate, month-to-month with no contract, for exactly this reason.)
The anti-personalization instinct protects you if you're straight with people. Fifty-seven percent of consumers say they'd trust a business less if the price changed based on their personal data. Flat, same-for-everyone pricing is the cleanest possible answer to that instinct — and it reads as integrity in an era where people increasingly suspect the opposite.

The Temecula and Murrieta Angle

Local competition already runs on comparison — three quotes for a roof, two for a website, one Nextdoor thread with everyone's plumber recommendations. What's changed is that the first comparison no longer happens between your proposals; it happens before anyone calls you, across your profiles, your site, and whatever an AI assistant says when asked about you or your category. Businesses with one consistent story — same services, same hours, same starting prices, current photos — pass that screen. Businesses with 2023 information scattered across four platforms quietly fail it, and the lead never arrives to explain why.

There's also an early-mover reality: with only about a quarter of consumers using AI tools this way today, most local competitors still haven't thought about it. Getting your information consistent now is cheap. Doing it in two years, after assistants have become the default first stop for "who should I call," will be table stakes everyone else already met.

The Bottom Line

The Akeneo survey isn't really a retail story. It's a trust-distribution story: shoppers are doing more verification, trusting merchants less by default, and increasingly routing that verification through AI tools they consider accurate. Every business — including a five-person crew in Temecula — is now being compared across surfaces it doesn't control, using information it may have forgotten it published. The fix is unglamorous and finite: one accurate source of truth for your services, pricing, and hours, pushed out to every profile and listing, and kept current. If you want an audit of where your business stands right now — what an AI assistant or a wary shopper would find today — book the free 15-minute call and we'll walk it with you.

PepeWebTech keeps its own signals consistent the same way: flat monthly pricing published on our pricing page, no contracts, and a growing library of guides for small businesses in Temecula and Murrieta navigating exactly these shifts.