Store Location Page Index

Augurian research

72% of Grocery Chains Score an F On Location Page Quality.

We graded the location pages of 24 regional grocery chains against the signals that matter most to AI-powered search. Here is what we found.

store location page index
WHY IT MATTERs

Google Knows Where Your Stores Are. ChatGPT, Claude, and Perplexity Don’t.

Google has spent two decades building a local knowledge graph

Google uses Business Profile Data, Maps, Reviews and the Map Pack. When someone searches in Google, it pulls your store details from its own ecosystem. Your location pages matter there, but Google already knows a lot about you.

ChatGPT, Perplexity, and Claude don’t have that.

When someone uses an LLM for searches like “best grocery store near me” or “does this chain have a location in my city,” the LLMs search the open web. They read whatever they find. They synthesize. They cite.

A location page with real neighborhood names, local staff, fresh reviews, schema markup, and unique content gives an AI assistant a citable, quotable, entity-clear source. It can confidently name your store, describe it, and recommend it.

A widget-based locator with identical content across every store tells an AI that every location is interchangeable. And interchangeable doesn’t get recommended or cited.

Google knows where your stores are. ChatGPT, Perplexity, and Claude don’t, unless your website tells them.


A widget-based store locator tells these AI tools nothing.



A well-built location page gives them everything they need to recommend and cite you with confidence.

the rankings

Who is doing it right. and who is not.

Every chain below was evaluated on 8 yes-or-no questions about their location pages.
Scores are averaged across two store pages per brand.

# Brand Score Grade Performance Location Pages
1 Hartig Drug 87.5 A
Yes
2 Schnucks 87.5 A
Yes
3 Harps Hometown Fresh 68.8 C
Yes
4 Festival Foods 56.2 C
Yes
5 Bashas 43.8 D
Yes
6 Food City 43.8 D
Yes
7 Kowalski's Markets 43.8 D
Yes
8 Brookshire Brothers 37.5 F
Yes
9 Hugos Family Marketplace 37.5 F
Yes
10 Price Chopper 25.0 F
Yes
11 Tops Markets 25.0 F
Yes
12 Wegmans 25.0 F
Yes
13 Family Fare 25.0 F
Yes
14 Sentry Foods 25.0 F
Yes
15 Woodman's Markets 18.8 F
Yes
16 Giant Eagle 12.5 F
No (widget)
17 Ingles Markets 12.5 F
Yes
18 King Kullen 12.5 F
No (widget)
19 Lunds and Byerlys 12.5 F
No (widget)
20 Northgate Market 12.5 F
No (widget)
21 Piggly Wiggly 12.5 F
No (widget)
22 Natural Grocers 12.5 F
Yes
23 Acme Fresh Market 0.0 F
No (widget)
24 Jerry's Foods 0.0 F
No (widget)

Interested in getting your grocery location pages scored? Score Your Pages >

OUR METHODOLOGY

8 Questions. No Partial Credit.

Content Quality

Compare this page to another from the same brand. Is more than half of the content actually different?

Does the page name real neighborhoods, landmarks, or service-area boundaries specific to this location?

Does it name at least one real staff member, project, or customer tied to this specific location?

Clarity & AI Readiness

Do the headings answer real local questions rather than just repeat the city name?

If an AI summarized this page, is there one sentence it could quote that names your business, service, and city together?

Could a visitor learn what you do, where you do it, and how to start — without leaving this page?

If this page disappeared tomorrow, would a local customer lose information they can’t find anywhere else on your site?

Site Structure

Does the page have proper LocalBusiness schema markup?

TOp failure modes

Why most location pages are not working.

These are the five most common reasons grocery chains score poorly in the index. Each one is fixable. Most brands are not fixing them.

UNIVERSAL FINDINGS

Focus On Fixing This First

These four signals were evaluated on every page in the index. They aren’t included in the scored 8 because virtually no chain passes them. That’s precisely why they matter, and why the brands that fix them first will pull away from the field.

0% - LOCAL SCHEMA MARKUP

Schema markup is structured data embedded in a page’s code that tells AI systems and search engines exactly what a page is about. Things like, the business name, address, phone number, hours, and more. But, this needs to be in a format machines can read without guessing. Without it, an AI assistant has to infer these details from the visible text, which introduces ambiguity and errors. With it, your store becomes an unambiguous entity that can be cited with confidence. Not a single chain in this index had it implemented on their location pages.

0% - FRESH REVIEWS ON PAGE

Reviews aren’t just social proof for humans — they’re freshness signals for AI systems. A page with recent, dated customer reviews tells an AI that this location is active, open, and worth recommending. A static page with no reviews (or reviews buried in a third-party widget) gives an AI no signal that anything has happened at this store in the last year. Zero chains in the index surface fresh reviews directly on their location pages.

0% - DETECTABLE UPDATE DATE

AI systems weight recency. A page with a visible or metadata-level “last updated” date tells crawlers that the information is current. A page with no date could be from 2019 and an AI has no way to know. Given that store hours, services, and local offerings change regularly, the absence of any update signal is a trust gap that costs you citations. No chain in the index publishes a detectable update date on their location pages.

2% - REAL LOCATION PHOTOS

A photo of the actual storefront, interior, or local team does two things: it signals to AI systems that this page is specific to a real place, and it gives human visitors a reason to trust what they’re reading. Stock photography and generic brand imagery don’t count, they’re the visual equivalent of templated copy. Only one chain in the index uses real, location-specific photography on their store pages.

These aren’t advanced optimizations. They’re basics that nearly every grocery chain in America has left undone.
The bar is low. The opportunity is real.

FULL DATASET

Get the Complete
Scoring Spreadsheet.

This summary is free. The full dataset includes every scored question, the reasoning behind each answer, and raw scores for all 24 brands across all 8 criteria.

Free download

The Store Page Index
Full Dataset

Enter your work email and we will send the spreadsheet directly to your inbox.

What you get:

  • All 24 brands scored across 8 criteria

  • Per-question breakdown with reasoning

  • Universal findings data

  • Category-level scores for benchmarking

FREE TOOL

How Does your store location
page score?

Paste in two location page URLs from your site. We will run them through the same scoring system used to build this index and send back your score, your grade, and a ranked list of what to fix first.

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