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WRAP Technologies

wrap.com · Technology · WRAP

Ranked 1,678 of 2,047 companies in the study

26Overall score
  • Visibility3
  • Citations0
  • Sentiment50
  • Site quality80
  • AI readiness21
What this means for WRAP Technologies

AI assistants rarely name WRAP Technologies, doing so in 1 out of 60 answers. In one answer, they also name PepperBall. WRAP Technologies has an overall score of 26 out of 100, ranking 1,678th of 2,047 companies. Its website passes 3 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about the technology market: none named WRAP Technologies. AI assistants named it in 1 of 60 answers (1.7%). The typical technology company is named in 10.0% of answers. By how often it is named, WRAP Technologies ranks 211 of 273 in its sector.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its rivals.

Named by AI in
1.7%
1 of 60 answers
Share of mentions
4.3%
compared with 5 rivals
AI readiness
3/14
technical checks passed. Typical for its sector: 4
Rank in its sector
237 of 273
by overall score, where the typical technology company scores 36
How WRAP Technologies 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
3

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
80

How well built the website's own pages are

AI readiness
21

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 technology

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

Overall score26
Ranks 237 of 273. Typical company: 36
Named in answers2%
Ranks 211 of 273. Typical company: 10%
AI readiness21
Ranks 161 of 273. Typical company: 29
What Claude actually said

An answer that names the company

“Is investing in integrated policy, training, and technology systems for non-lethal response worth it for small police agencies?”

I'll search for information about the cost-effectiveness and value of investing in integrated non-lethal response systems for small police departments.Let me search for more specific information about the financial and operational benefits for small departments.Based on the research, investing in integrated policy, training, and technology systems for non-lethal response can be worthwhile for small police agencies, though it requires careful planning. Here are the key considerations:

Challenges Small Agencies Face

In small departments, with tighter budgets and staffing constraints, sparin …

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

Also named
PepperBall6
Share of mentions

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

PepperBall
66.7%
Amtec Less-Lethal Systems, Inc. (ALS)
16.7%
WRAP Technologies
5.6%
Safariland Less Lethal
5.6%
Combined Systems, Inc. (CSI)
5.6%
Axon
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Claude
1/15
Gemini
0/15
OpenAI
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 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.

To reach level 2:
  • Content Signals
Show every check, for your technical team
Discoverability
77 of 100
  • robots.txtPassed

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

    study: 92.0%
  • SitemapPassed

    An XML sitemap listing the pages, ideally referenced 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 25 of 100 · 97% of checks could run · checked on October 5, 2026 · www.wrap.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

police1.com
28
ojp.gov
27
corrections1.com
20
nij.ojp.gov
17
congress.gov
14
pepperball.com
14
policinginstitute.org
11
phr.org
9
publicsafety.gc.ca
8
en.wikipedia.org
7

In the study as US-listed.

Every question, and where the company came up (1 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Average cost of a comprehensive non-lethal response and training package for a medium-sized police force
  • How can law enforcement agencies address gaps in non-lethal response training effectiveness?
  • What are the best non-lethal tools for de-escalation in law enforcement situations?
  • What should law enforcement look for when evaluating de-escalation equipment and training programs?
  • Which non-lethal technologies are widely used by campus safety departments in the US?
  • Is investing in integrated policy, training, and technology systems for non-lethal response worth it for small police agencies?
  • How do campus security teams use non-lethal restraint technology for mental health interventions?
  • Alternatives to traditional compliance tools for law enforcement focusing on reducing constitutional exposure
  • How do restraint-based non-lethal devices compare to chemical agents for crowd control?
  • Examples of non-lethal response tools used during protests to minimize injuries
  • What are common issues encountered with electronic restraint devices during field operations?
  • How do prices of projectile-based non-lethal systems compare with less-lethal shield and restraint options in the US?
  • Non-lethal response systems vs traditional compliance tools for correctional facilities—what are the main differences?
  • Alternatives to projectile-based non-lethal technology for reducing force during arrests
  • What other non-lethal solutions are available for corrections facilities looking to move away from chemical deterrents?
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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