- Visibility12
- Citations0
- Sentiment90
- Site quality73
- AI readiness29
AI assistants name Flowserve in 5% of their answers, which is about the same as the typical company in the industrial sector. Flowserve has an overall score of 36 out of 100, ranking 776th of 2,047 companies. Its website passes 4 of 14 technical checks for AI tools.
We asked 15 unbranded questions about the industrial market: none named Flowserve. AI assistants named it in 3 of 60 answers (5.0%). The typical industrial company is named in 5.0% of answers. By how often it is named, Flowserve ranks 116 of 246 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.
246 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“Top-rated pump solutions for water treatment facilities in the US”
Water treatment facilities in the US rely on a variety of top-rated pump solutions to ensure efficient and reliable operations. The market for water and wastewater pumps is experiencing significant growth, driven by the need for safe drinking water, effective wastewater treatment, and sustainable practices.
Here are some of the top-rated pump solutions and manufacturers for water treatment facilities in the US:
Key Pump Types and Their Applications:
Submersible Pumps: These are ideal for moving large quantities of water from deep sources like wells, reservoirs, and intake basins …
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 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.
- Content Signals
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%SitemapPassed
An XML sitemap listing the pages, ideally referenced 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.txtNot met
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesPartly met
Add explicit robots.txt groups for the main AI crawlers.
- study: 1.4%Content SignalsNot met
Add a Content-Signal line for search, ai-input and ai-train to robots.txt.
- 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 36 of 100 · 97% of checks could run · checked on October 5, 2026 · www.flowserve.com · 2,047 companies scanned
4 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%
- Not metHTTP Link headers (RFC 8288)study: 29.0%
- PassedMarkdown content negotiationstudy: 8.3%
- Not metllms.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.
- Which sealing solutions are ideal for handling corrosive fluids in energy plants?
- How to diagnose excessive vibration issues in industrial pump systems
- How much does it cost to retrofit existing pipelines with advanced valve automation?
- Alternatives to conventional valve solutions for managing high-pressure steam in power generation
- What is the typical price range for industrial-grade centrifugal pumps in the US?
- Centrifugal pumps vs. positive displacement pumps for oil and gas applications
- Mechanical seals vs. packing seals: which is better for reducing leakage in industrial pumps?
- Top-rated pump solutions for water treatment facilities in the US
- How are control valves typically used to regulate pressure in water distribution systems?
- Best practices for selecting flow control equipment for nuclear facility safety systems
- Are smart actuators worth the investment for manufacturing automation?
- What are some reliable alternatives to traditional mechanical seals for reducing maintenance needs?
- What causes actuator failure in process control valves and how can it be prevented?
- Should I upgrade to high-performance butterfly valves for critical service engineering projects?
- What are the best industrial valves for chemical processing plants?
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/flowserve.com"><img src="https://aeo-audit.rezolve.com/us/badges/flowserve.com.svg" alt="Overall score 36 of 100, US AI Visibility Study 2026" width="280" height="64"></a>