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Hamilton Beach Brands

hamiltonbeach.com · Unclassified · HBB

Ranked 1,528 of 2,047 companies in the study

27Overall score
  • Visibility8
  • Citations0
  • Sentiment50
  • Site quality67
  • AI readiness29
What this means for Hamilton Beach Brands

AI assistants name Hamilton Beach Brands in 5% of answers, slightly more often than the typical company in its group. Its overall score is 27 out of 100, which ranks 1,528th of 2,047. The company's website passes 3 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market: none named Hamilton Beach Brands. AI assistants named it in 3 of 60 answers (5.0%). The typical company in its group is named in 3.3% of answers. By how often it is named, Hamilton Beach Brands ranks 27 of 61 in its sector.

Named by AI in
5.0%
3 of 60 answers
Share of mentions
12.5%
compared with 5 rivals
AI readiness
3/14
technical checks passed. Typical for its sector: 3
Rank in its sector
40 of 61
by overall score, where the typical company scores 29
How Hamilton Beach Brands compares with all 2,047 companies

Every dot is a company in the study. Hover one to see it; click to open its report.

This companySame sectorEvery other companyNever named

What makes up the score

Five parts, each scored out of 100.

Visibility
8

How often AI assistants name the company

Citations
0

How often AI uses the company's own website as a source

Sentiment
50

How positively AI describes the company

Site quality
67

How well built the website's own pages are

AI readiness
29

How easily AI tools can read and use the website

Visibility is calculated from the answers on this page. How the score is built.

Compared with its group

61 companies in this sector. The line on each bar is the typical company.

Overall score27
Ranks 40 of 61. Typical company: 29
Named in answers5%
Ranks 27 of 61. Typical company: 3%
AI readiness29
Ranks 15 of 61. Typical company: 21
What Gemini actually said

An answer that names the company

“What price range should I expect for a high-quality juicer?”

High-quality juicers can range significantly in price, generally falling between $130 and $770, depending on the type, brand, and features.

Here's a breakdown of what you can expect:

Mid-Range High-Quality Juicers: You can find excellent juicers in the $130 to $200 range. For example, the NutriBullet Slow Juicer is a top pick around $130, and the Omega Cold Press Slow Juicer and Breville Juice Fountain Cold are both highly rated at about $200. The Ninja NeverClog Cold Press Juicer is also a popular option, often found around $150.

Higher-End Juicers: For those willing to inves …

The AI’s answer as we received it, shortened and not checked for accuracy.

Also named
Cuisinart3KitchenAid3
Share of mentions

How the mentions in these answers were split between this company and its rivals

Breville USA
42.1%
Cuisinart
26.3%
Hamilton Beach Brands
15.8%
KitchenAid
15.8%
Black+Decker Home
0.0%
Oster
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
2/15
OpenAI
1/15
Claude
0/15
Perplexity
0/15
Ready for AI agents

What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.

  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5

Level 0: Not yet agent-ready. Agents struggle to find basic information about the site.

To reach level 1:
  • 2 of robots.txt, Sitemap, Link headers
Can an AI agent buy here?

Not by itself. Hamilton Beach Brands publishes none of the purchase protocols we look for. An agent would have to click through the checkout like a person.

  • UCPNot present
  • ACPNot present
  • AP2Not present
  • x402Not present
  • MPPNot present
Show every check, for your technical team
Discoverability
41 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 92.0%
  • SitemapNot met

    Serve an XML sitemap and reference it from robots.txt.

    study: 86.8%
  • Link headersNot met

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 0.3%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 5.5%
Content accessibility
0 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 1.9%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 25.1%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 93.4%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    study: 1.4%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.2%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 0.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 11.8%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 10.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.0%
  • MCP Server CardNot met

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.2%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.1%
  • Agent SkillsNot met

    Publish a skills index with the main tasks agents can do.

    study: 0.2%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 33.7%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.1%

Score 16 of 100 · 97% of checks could run · checked on October 5, 2026 · hamiltonbeach.com · 2,047 companies scanned

See how every company did, and how this was measured.

The checks behind the AI readiness score

3 of 14 passed. This list is for your technical team. The percentage is how many companies in the study pass each check.

These 14 checks ran during the audit and are what the AI readiness part of the overall score counts. The scan above ran later and is stricter on Link headers and Markdown, so a check can pass here and not there.

Show the 14 checks
Discoverability
  • Passedrobots.txt publishedstudy: 85.0%
  • PassedXML sitemapstudy: 73.2%
  • Not metHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • Not metMarkdown content negotiationstudy: 8.3%
  • Not metllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • Not metExplicit AI bot rulesstudy: 13.0%
API / Auth / MCP
  • Not metAPI Catalog (.well-known/api-catalog)study: 0.2%
  • Not metOAuth Authorization Server discoverystudy: 10.1%
  • Not metOAuth Protected Resource discoverystudy: 9.3%
  • Not metMCP Server Cardstudy: 0.0%
  • Not metA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 4.2%
  • Not metAgent Skills declaredstudy: 0.0%
What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 84% of the websites whose rules we could read. Every AI crawler follows its general rules.

Training AI
  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly
AI search
  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly
Answering questions
  • ChatGPT-Userpartly
  • Claude-Userpartly
  • Perplexity-Userpartly
  • DuckAssistBotpartly
  • MistralAI-Userpartly

Read from the website’s own rules file (robots.txt). An asterisk marks a crawler the file names. The rest follow its general rules. “Partly” means only some pages are blocked.

Websites the AI used as sources

How many times each website was listed as a source in these answers

youtube.com
18
foodnetwork.com
12
goodhousekeeping.com
11
consumerreports.org
11
reddit.com
10
nytimes.com
9
rtings.com
7
kitchenaid.com
7
quora.com
6
techgearlab.com
6

In the study as US-listed.

Every question, and where the company came up (3 of 15)
QuestionOpenAIClaudePerplexityGemini
  • What are the best ways to purify air in a home besides an air purifier?
  • What price range should I expect for a high-quality juicer?
  • How does an air fryer compare to a traditional deep fryer for health and taste?
  • What are the most reliable coffee makers for busy households?
  • What are effective ways to use a slow cooker for meal prepping?
  • What are alternatives to using a traditional bread maker for homemade bread?
  • Are smart kitchen appliances really more convenient than basic models?
  • Which appliances make weeknight dinners easier for families?
  • Why won't my electric kettle heat water properly?
  • Is it worth investing in a bread maker for everyday baking?
  • Best countertop blenders for making smoothies at home
  • Food processor vs food chopper: which is better for meal prep?
  • What should I do if my indoor grill isn't turning on?
  • Alternatives to electric knives for slicing meat evenly
  • Are budget blenders good enough for making nut butters?
named the companyanswered without naming itdid not answer

Columns, left to right: OpenAI, Claude, Perplexity, Gemini. The AI assistants often disagree. Across the study, on 40% of the questions where a company is named, only one of the four names it.

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Overall score 27 of 100 badge for Hamilton Beach Brands

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<a href="https://aeo-audit.rezolve.com/us/hamiltonbeach.com"><img src="https://aeo-audit.rezolve.com/us/badges/hamiltonbeach.com.svg" alt="Overall score 27 of 100, US AI Visibility Study 2026" width="280" height="64"></a>
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