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Corteva

corteva.com · Industrial · CTVA

Ranked 1,253 of 2,047 companies in the study

30Overall score
  • Visibility8
  • Citations1
  • Sentiment50
  • Site quality87
  • AI readiness21
What this means for Corteva

AI assistants rarely name Corteva. They mention the company in 1 of 60 answers. Corteva has an overall score of 30 out of 100, ranking 1,253rd of 2,047 companies, which is close to the typical company in its sector. The website passes 3 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about the industrial market: none named Corteva. AI assistants named it in 1 of 60 answers (1.7%). The typical industrial company is named in 5.0% of answers. By how often it is named, Corteva ranks 159 of 246 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
16.7%
compared with 5 rivals
AI readiness
3/14
technical checks passed. Typical for its sector: 3
Rank in its sector
135 of 246
by overall score, where the typical industrial company scores 31
How Corteva 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
1

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

Sentiment
50

How positively AI describes the company

Site quality
87

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 industrial

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

Overall score30
Ranks 135 of 246. Typical company: 31
Named in answers2%
Ranks 159 of 246. Typical company: 5%
AI readiness21
Ranks 107 of 246. Typical company: 21
What Gemini actually said

An answer that names the company

“What can farmers do when overtreating seeds becomes a risk?”

Overtreating seeds can reduce the effectiveness of the initial seed treatment and even damage the seeds, leading to a decrease in yield. When farmers face the risk of overtreating seeds, they can take several actions to mitigate these risks and promote healthier crop development.

Strategies to avoid overtreating seeds:

Understand Seed Treatment Calibration Seed treatments are finely calibrated to work effectively. Adding additional treatments on top of existing ones can disrupt this balance and reduce their efficacy.

Opt for "Naked" Seeds where appropriate In some cases, plant …

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

Share of mentions

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

Corteva
100.0%
Bayer Crop Science
0.0%
Syngenta US
0.0%
BASF Agricultural Solutions US
0.0%
FMC Corporation
0.0%
Adama US
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
1/15
Perplexity
0/15
Claude
0/15
OpenAI
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.corteva.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

pmc.ncbi.nlm.nih.gov
32
ers.usda.gov
14
nrcs.usda.gov
12
fao.org
10
frontiersin.org
9
dtnpf.com
9
justdial.com
9
mdpi.com
8
ncbi.nlm.nih.gov
8
farmprogress.com
8

In the study as S&P 500.

Every question, and where the company came up (1 of 15)
QuestionOpenAIClaudePerplexityGemini
  • How can precision agriculture benefit corn and soybean farmers?
  • How do biological crop protection options compare to synthetic crop protection methods?
  • Are integrated pest management systems worth the investment for medium-sized farms?
  • What are the most effective crop protection solutions for managing fall armyworm in the US?
  • Is it cost-effective to switch to sustainable farming solutions in the US?
  • Best agricultural science innovations for improving farm sustainability
  • Alternatives to traditional chemical herbicides for weed control on American farms
  • Sustainable alternatives to conventional pesticides for fruit and vegetable growers
  • What can farmers do when overtreating seeds becomes a risk?
  • What is the average price range for advanced seed technology in the United States?
  • How do you deal with crop damage caused by invisible pests?
  • What are practical ways to protect and preserve soil health in US farms?
  • What are some non-GMO crop solutions available for US agriculture?
  • Seed treatments versus in-field pest applications: which works better for US farmers?
  • How much does it typically cost to implement a modern crop management system per acre in the US?
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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