Key findings
- 1
The average score in the DTC brands category is 72/100, 1 point below the all-category average of 73.
- 2
Of the three pillars, Technical foundation is the strongest in the DTC brands category at 17/20 (85% of the maximum), and Discoverability is the weakest at 27/40 (68%).
- 3
In the DTC brands category, Content schema (Article, FAQ…) is the most-failed check: 91% of sites did not earn full points on it.
Where the scores fall
The lowest score is 46, the highest is 87 and the average is 72, out of 100.
Fig. 1
Source: Citehound scan, July 29, 2026, 33 brands
The three pillars
Each score is built from three pillars worth 40, 20 and 40 points. These are the category averages.
Fig. 2
Source: Citehound scan, July 29, 2026, 33 brands
The checks sites miss most
Share of sites that did not earn full points, for the 8 most-failed checks.
Fig. 3
Source: Citehound scan, July 29, 2026, 33 brands
Which AI crawlers can get in
Counts of sites, for each of 10 AI crawlers, where it is open, limited or blocked.
Fig. 4
Source: Citehound scan, July 29, 2026, 33 brands
Method and limits
What we scanned
33 brands in this category completed a scan on July 29, 2026. 14 more on the list could not be reached or timed out. They are excluded from every figure on this page.
What we pulled
For each site: robots.txt, sitemap.xml, llms.txt and the homepage, retrieved live. Homepages only. Inner pages were not scanned, and each site was scanned once.
What we scored
One score out of 100 per site, split across three pillars: discoverability (40), technical foundation (20), content & trust (40). The checks and their point values are on the methodology page.
How the sites were chosen
The lists are hand-picked, well-known sites in the category. They are not a random sample, so these figures describe the sites we scanned, not the category as a whole.
Repeat scans
In one October 2026 rescan of the same lists, category averages moved by one point or less. Individual sites moved more: about a third changed by 3 to 15 points.
What this measures
Whether AI systems can reach a site, and whether its homepage carries the signals machines read. It does not measure whether any assistant names a brand in an answer. Model responses vary by prompt, session and training data, and no scan of public files can predict them.
What this doesn’t tell you
- Anything about pages other than the homepage.
- Why the unreachable sites could not be scanned, or how they would have scored.
- Whether any of these signals relates to being named in an AI answer. This page measures inputs, not outcomes.
How to cite this
Citehound, “AI readiness benchmark: DTC brands,” July 29, 2026. https://getcitehound.com/benchmarks/dtc-brands
Canonical URL: https://getcitehound.com/benchmarks/dtc-brands
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