Overview
JavaScript and Rate Limiting both elevate Furniture's active barrier profile
| Value | |
|---|---|
| WAF | 97% |
| Antibot | 33% |
| CAPTCHA | 28% |
| JavaScript | 49% |
| Rate Limiting | 40% |
| TLS | 21% |
WAF leads at 97%. JavaScript (49%) and Rate Limiting (40%) together form a multi-layer active stack — more than most sectors deploy alongside WAF.
Barrier Landscape
JavaScript is Furniture's dominant secondary barrier by a wide margin
| Value | |
|---|---|
| WAF | 97% |
| Antibot | 33% |
| CAPTCHA | 28% |
| JavaScript | 49% |
| Rate Limiting | 40% |
| TLS | 21% |
| Has robots.txt | 67% |
| Blocks AI crawlers | 5% |
WAF at 97% and JavaScript at 49% together form the sector's main defensive layer. Rate Limiting (40%) follows at a distance. The barrier profile is concentrated rather than broadly spread.
Nearly half of Furniture sites carry three or more barriers
| % of sites | |
|---|---|
| 0 barriers | 1% |
| 1 barrier | 16% |
| 2 barriers | 35% |
| 3 barriers | 27% |
| 4 barriers | 8% |
| 5 barriers | 9% |
| 6 barriers | 4% |
48% of Furniture sites carry three or more barriers — well above the norm. Two-barrier stacks are most common. Just 1% of sites carry none.
Furniture is moderately challenging to access — harder than most sectors
| Mean recommended tier | |
|---|---|
| All sites | 2.26 |
A mean recommended tier of 2.26 and a median of Easy place Furniture toward the harder end of the sectors surveyed. 22% of sites are Simple to access; 34% require Moderate or above.
Easy is the most common access tier across Furniture sites
| % of sites | |
|---|---|
| 1 - Simple | 22.2% |
| 2 - Easy | 43.4% |
| 3 - Moderate | 25.3% |
| 4 - Complex | 4% |
| 5 - Advanced | 5.1% |
Easy (43%) is the most common tier. Simple and Easy together account for 66% of sites, while 25% land at Moderate and 9% at Complex or Advanced.
robots.txt
Around two-thirds of Furniture sites publish a robots.txt
| % of sites | |
|---|---|
| Publish a valid robots.txt | 67% |
67% of Furniture sites have a valid robots.txt. The remaining 33% leave crawl policy entirely undefined — a meaningful gap for a sector of this scale.
Furniture sites name a handful of agents in robots.txt — few commit to comprehensive policies
| % of sites | |
|---|---|
| 0 | 34% |
| 1 | 33% |
| 2–4 | 9% |
| 5–9 | 17% |
| 10–15 | 2% |
| 16+ | 5% |
The mean of 4.9 named agents reflects limited bot-policy investment in Furniture. 34% of sites name no agents; 33% name exactly one. Only 5% maintain a list of 16 or more named bots.
SEO audit tools lead Furniture's robots.txt mentions ahead of AI crawlers
| % of sites | |
|---|---|
| AI crawlers | 12% |
| SEO / search indexing | 9% |
| SEO audit tools | 18% |
| Commercial scrapers | 2% |
| Social / content scrapers | 3% |
| Archive / research crawlers | 2% |
| Monitoring / uptime bots | 0% |
SEO audit tools are mentioned by 18% of Furniture sites — the leading bot category, ahead of AI crawlers at 12%. Figures are percentages of all 100 sites surveyed.
Uniform per-agent rules dominate Furniture robots.txt files
| % of sites | |
|---|---|
| Uniform per-agent rules | 34% |
| Path-level mixed rules | 31% |
| Allow-only (no Disallow rules) | 1% |
| Mixed AI posture | 3% |
| Blanket Disallow: / | 1% |
Uniform per-agent rules lead at 34%, with path-level mixed rules at 31%. Mixed AI posture (3%) and blanket Disallow (1%) are minimal.
AhrefsBot leads named Disallow rules in Furniture robots.txt
| Disallowed | Allowed (whitelisted) | |
|---|---|---|
| * | 64% | 28% |
| AhrefsBot | 11% | 2% |
| AhrefsSiteAudit | 11% | 2% |
| Nutch | 11% | 1% |
| adsbot-google | 9% | 1% |
| AdsBot-Google | 4% | 5% |
| Googlebot | 3% | 4% |
| MJ12bot | 6% | 1% |
| Pinterestbot | 2% | 3% |
| AdsBot-Google-Mobile | 2% | 3% |
| 2% | 3% | |
| GPTBot | 1% | 4% |
| Google-Extended | 2% | 2% |
| bingbot | 2% | 2% |
| Bingbot | 1% | 3% |
| DuckDuckBot | 1% | 3% |
| Googlebot-Image | 1% | 3% |
| Mediapartners-Google | 2% | 2% |
| Storebot-Google | 1% | 3% |
| OAI-SearchBot | 0% | 4% |
| 008 | 3% | — |
| Yandex | 2% | 1% |
| AdIdxBot | 1% | 2% |
| Jetbot | 3% | — |
| CherryPicker | 3% | — |
Values are percentages of all 100 Furniture sites surveyed. The wildcard (*) leads at 64% Disallow. Among named agents, AhrefsBot, AhrefsSiteAudit, Nutch are the most frequently targeted — focused on non-AI crawlers.
Industry Cohort
Furniture sits mid-table within the Retail & E-commerce cohort
| WAF | Antibot | CAPTCHA | JavaScript | Rate Limit | TLS | robots.txt | Blocks AI | Tier | |
|---|---|---|---|---|---|---|---|---|---|
| Apparel & Fashion | 91% | 21% | 15% | 49% | 54% | 32% | 69% | 4% | Tier 3 |
| Beauty & Cosmetics | 91% | 30% | 36% | 40% | 31% | 30% | 76% | 13% | Tier 2 |
| Computer & Video Games | 94% | 27% | 26% | 44% | 22% | 13% | 81% | 23% | Tier 1 |
| Computer Hardware | 93% | 30% | 20% | 42% | 33% | 15% | 73% | 13% | Tier 2 |
| Computers & Electronics | 86% | 13% | 17% | 34% | 18% | 15% | 73% | 9% | Tier 2 |
| Consumer Electronics | 92% | 27% | 27% | 46% | 29% | 20% | 83% | 9% | Tier 2 |
| Equipment & Supplies | 96% | 27% | 31% | 41% | 26% | 14% | 68% | 8% | Tier 2 |
| Food & Beverages | 92% | 24% | 26% | 51% | 31% | 11% | 68% | 23% | Tier 2 |
| Furniture | 97% | 33% | 28% | 49% | 40% | 21% | 67% | 5% | Tier 2 |
| Jewelry & Luxury | 83% | 28% | 23% | 41% | 42% | 34% | 80% | 9% | Tier 2 |
| Packaging & Containers | 95% | 18% | 35% | 42% | 17% | 11% | 80% | 6% | Tier 1 |
| Retail | 96% | 19% | 15% | 51% | 33% | 20% | 85% | 29% | Tier 2 |
| Sporting Goods | 89% | 26% | 24% | 41% | 49% | 32% | 78% | 7% | Tier 2 |
| Sports | 98% | 11% | 15% | 61% | 23% | 11% | 89% | 33% | Tier 1 |
| Textiles & Nonwovens | 92% | 6% | 38% | 35% | 17% | 14% | 78% | 7% | Tier 1 |
| Tobacco | 98% | 30% | 52% | 38% | 30% | 15% | 76% | 3% | Tier 1 |
| Wholesalers & Liquidators | 94% | 24% | 22% | 44% | 30% | 13% | 80% | 7% | Tier 2 |
| Wine & Spirits | 95% | 24% | 28% | 47% | 32% | 15% | 84% | 14% | Tier 1 |
Across Retail & E-commerce, Furniture's barrier rates are broadly in line with peers. WAF at 97%, JavaScript at 49%, and AI blocking at 5% all sit near the cohort median. Tier difficulty (mean 2.17) is above the group average.