What Is a Google Business Profile? – Definition and How It Works

Learn what a Google Business Profile is, which fields it holds, how it feeds local results, and what is publicly visible.

A Google Business Profile is the record a business maintains for itself in Google's local index. It supplies the data shown in the local pack, in maps results, and in the business panel beside a branded search.

1. What a Profile Holds

Two of these are worth noting because they are not owner-controlled: visitor photos, and public Q&A answers.

2. Why It Matters

The profile is the authoritative source for local search. A business that has not claimed one may still appear, from other data, but with less complete and less accurate information.

For anyone analysing local competition, the profile is where the observable variables live: category choice, attribute completeness, review volume and recency, photo count, and response behaviour.

3. What Is Publicly Visible

Everything a profile shows to an ordinary visitor is public: name, category, address, phone, website, hours, attributes, photos, reviews with their authors' display names, Q&A, and posts.

Not public: the owner's account details, the profile's internal insights and analytics, message threads, and any pending edits.

The distinction matters, because analysis of local presence works entirely from the public surface — performance data belongs to the owner.

4. Reviews Are Personal Data

Review text and reviewer display names are public, and they are also personal data about identifiable people.

That has practical consequences for collecting them: aggregate ratings and counts carry no personal data and support most analysis; storing full review text with author names does, and brings retention, purpose limitation, and access rights with it.

The proportionate approach is to collect the aggregates unless the review text is genuinely required, and to treat reviewer identities as data to minimise rather than to warehouse.

5. Data Quality Realities

• Categories are self-selected, so similar businesses choose differently and category is a weak grouping key.
• Hours are frequently stale, particularly after seasonal changes.
• Duplicate profiles exist for the same business, especially after a move or rebrand.
• Addresses vary in format, including suite numbers present in one listing and absent in another.
• Names include marketing text — "Best" and "24/7" and city names appended — which breaks exact-match linkage.
• Review counts include ratings without text, so the count is not the number of readable reviews.

These are the reasons entity resolution is necessary when combining profile data with any other source.

6. Where the Data Appears

The same underlying record surfaces in several places, each showing a different subset:

• The local pack — a summary of three results.
• Expanded local results — more results, still summarised.
• Maps — the fullest interactive view.
• The business panel beside a branded search — near-complete detail.
• The profile page itself — everything public.

A pipeline that needs complete records discovers them in the pack and then reads the fuller view, rather than expecting the pack to carry everything.

7. Collecting Responsibly

1. Take the aggregates — rating and count — unless review text is essential.
2. Record the observation date, since hours and attributes change.
3. Normalise names and addresses before matching, or duplicates multiply.
4. Store the source URL for every record, so a value can be re-verified.
5. Minimise personal data, and set a retention period for anything that qualifies.
6. Treat category as a hint, not a classification.

8. Summary

A Google Business Profile is the business-maintained record behind local search results, holding identity, contact, hours, attributes, media, reviews, Q&A, and product information.

Its public surface supports competitive and local-presence analysis, while owner insights are private — and the practical cautions are that categories are self-selected, hours are often stale, duplicates are common, names carry marketing text, and review text with author names is personal data to minimise rather than accumulate.

Potential Related Glossary

• Web Crawling
• Data Fusion
• Data Wrangling
• Parsing