- Visibility14
- Citations3
- Sentiment50
- Site quality80
- AI readiness43
AI assistants name Bandwidth.com in 13.3% of answers, which is slightly more often than the typical company in its sector at 10%. Its overall score is 33 out of 100, ranking 955th of 2,047 companies. Its website passes 6 of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the technology market: none named Bandwidth.com. AI assistants named it in 8 of 60 answers (13.3%). The typical technology company is named in 10.0% of answers. By how often it is named, Bandwidth.com ranks 111 of 273 in its sector.
Every dot is a company in the study. Hover one to see it; click to open its report.
This companySame sectorEvery other companyNever named
Five parts, each scored out of 100.
How often AI assistants name the company
How often AI uses the company's own website as a source
How positively AI describes the company
How well built the website's own pages are
How easily AI tools can read and use the website
Visibility is calculated from the answers on this page. How the score is built.
273 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“Who provides enterprise communication tools with direct carrier integrations across the US?”
I'll search for information about enterprise communication tools with direct carrier integrations across the US.Based on the search results, several providers offer enterprise communication tools with direct carrier integrations across the US:
Bandwidth offers direct-to-carrier integrations to industry-leading tools across UCaaS, CCaaS, conversational AI, and voice authentication, claiming to offer the most direct-to-carrier integrations in the world. Bandwidth's Maestro platform provides direct-to-carrier CCaaS/UCaaS integrations with no-interruption number porting.
TrueDialog is on …
The AI’s answer as we received it, shortened and not checked for accuracy.
How the mentions in these answers were split between this company and its rivals
Answers naming it, out of answers received
What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.
- 0
- 1
- 2
- 3
- 4
- 5
Level 3: Agent-readable. Agents can request pages as markdown.
- 1 of MCP Server Card, A2A Agent Card, Agent Skills, API Catalog
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtPassed
A valid robots.txt with crawl rules at the site root.
- study: 86.8%SitemapPartly met
Serve an XML sitemap and reference it from robots.txt.
- study: 0.3%Link headersNot met
Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.
- study: 5.5%DNS for AI DiscoveryNot present
Advertise agent endpoints with SVCB records under _agents.
- study: 1.9%Markdown negotiationPassed
Requests sent with Accept: text/markdown receive a markdown version of the page.
- study: 25.1%llms.txtPassed
An llms.txt that tells language models what the site offers.
- study: 93.4%AI bot rulesPartly met
Add explicit robots.txt groups for the main AI crawlers.
- study: 1.4%Content SignalsPassed
Content-Signal lines in robots.txt declaring search, AI input and AI training preferences.
- study: 0.2%Web Bot AuthNot present
Only relevant if you run your own agents or crawlers: publish a signing key directory.
- study: 0.3%API CatalogNot met
List public APIs in a linkset at /.well-known/api-catalog.
- study: 11.8%OAuth discoveryNot met
Publish OpenID Connect or OAuth server metadata under /.well-known.
- study: 10.3%OAuth Protected ResourceNot met
Serve protected resource metadata at /.well-known/oauth-protected-resource.
- study: 0.0%auth.mdNot met
Publish an auth.md describing how agents sign in.
- study: 0.2%MCP Server CardNot met
Offer an MCP server and publish its server card under /.well-known.
- study: 0.1%A2A Agent CardNot met
Publish an agent card at /.well-known/agent-card.json.
- study: 0.2%Agent SkillsNot met
Publish a skills index with the main tasks agents can do.
- study: 33.7%WebMCPCould not check
Register key actions such as search or cart as WebMCP tools.
- study: 0.1%ARD manifestNot met
Publish an ai-catalog.json listing every agent interface.
Score 54 of 100 · 97% of checks could run · checked on October 5, 2026 · www.bandwidth.com · 2,047 companies scanned
6 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 checksHide them
- Passedrobots.txt publishedstudy: 85.0%
- PassedXML sitemapstudy: 73.2%
- PassedHTTP Link headers (RFC 8288)study: 29.0%
- PassedMarkdown content negotiationstudy: 8.3%
- Passedllms.txt publishedstudy: 21.7%
- PassedToken budget (page weight)study: 95.2%
- Not metExplicit AI bot rulesstudy: 13.0%
- 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%
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.
- GPTBotpartly
- ClaudeBotpartly
- Anthropic-AIpartly
- Google-Extendedpartly
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBotpartly
- Claude-SearchBotpartly
- PerplexityBotpartly
- Applebotpartly
- Amazonbotpartly
- YouBotpartly
- 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.
How many times each website was listed as a source in these answers
In the study as US-listed.
- Who provides enterprise communication tools with direct carrier integrations across the US?
- How can enterprises resolve call quality problems when scaling unified communications solutions?
- Which APIs offer unified voice and messaging solutions for large organizations?
- What are typical uses for messaging APIs in enterprise customer service environments?
- Is investing in a cloud communications API platform a good idea for growing enterprises?
- What are good alternatives to API-powered communication stacks for handling emergency notifications?
- Voice and messaging APIs vs fully managed communication platforms—what's better for large businesses?
- Best options for enterprises seeking non-API based voice and messaging solutions?
- How do voice and messaging API platforms structure pricing for high-volume enterprise customers?
- What are the best enterprise communications platforms for integrated voice, messaging, and emergency services?
- Are enterprise-grade voice and messaging APIs worth the cost for in-house development teams?
- What are common issues with integrating emergency communication APIs into existing enterprise systems?
- What affects pricing for enterprise SIP trunking services in the US?
- How does SIP trunking compare to traditional PBX systems for enterprise communications?
- How can an API-based voice platform support contact center modernization for large organizations?
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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<a href="https://aeo-audit.rezolve.com/us/bandwidth.com"><img src="https://aeo-audit.rezolve.com/us/badges/bandwidth.com.svg" alt="Overall score 33 of 100, US AI Visibility Study 2026" width="280" height="64"></a>