Raw Data
Every citation behind The Front Door Problem — all 86,645 of them, one row per cited reference. Filter it, search it, download it. If you want to check a number in the report yourself, this is the page that lets you. Nothing here is aggregated or summarized.
| Surface | Metro | Vertical | Query | Intent | Domain | Category | Google redirect |
|---|
How to read this
One row per cited reference. A single query usually produced many citations, so the same query repeats down the table — that’s expected, not duplication.
Google redirect marks a citation that pointed at Google’s own Maps or local-pack redirect rather than out to a third-party site. That column is what Finding 02 in the report is counting.
Category comes from the same taxonomy the study used, so the counts you get by filtering here match the report exactly. One thing to know before you lean on it: the classifier works from an allowlist and falls back to business’s own site for anything it doesn’t recognise, which is most domains. We hand-corrected the 73 highest-volume misfits, but a hand-audited sample says about 11.7% of what’s left in that bucket still doesn’t belong. Google Maps / GBP is matched positively and carries no such slack.
The CSV button gives you whatever is currently filtered, using the raw field values rather than the display labels. Want everything in one go? Download the full dataset — all 86,645 rows, zipped, 428 KB.
