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Vista Oil & Gas

vistaenergy.com · Energy · VIST

Ranked 1,444 of 2,047 companies in the study

28Overall score
  • Visibility4
  • Citations0
  • Sentiment50
  • Site quality80
  • AI readiness29
What this means for Vista Oil & Gas

AI assistants rarely name Vista Oil & Gas, with just 1 out of 60 answers naming the company; they also mention GeoPark and YPF in that answer. Its overall score is 28 out of 100, ranking 1,444th of 2,047 companies. The website passes 4 of 14 technical checks, showing limited readiness for AI tools.

We asked 15 unbranded questions about the energy market: none named Vista Oil & Gas. AI assistants named it in 1 of 60 answers (1.7%). The typical energy company is named in 3.3% of answers. By how often it is named, Vista Oil & Gas ranks 62 of 109 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
6.7%
compared with 5 rivals
AI readiness
4/14
technical checks passed. Typical for its sector: 3
Rank in its sector
59 of 109
by overall score, where the typical energy company scores 29
How Vista Oil & Gas 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
4

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
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 energy

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

Overall score28
Ranks 59 of 109. Typical company: 29
Named in answers2%
Ranks 62 of 109. Typical company: 3%
AI readiness29
Ranks 21 of 109. Typical company: 21
What Gemini actually said

An answer that names the company

“What are the leading oil and natural gas exploration companies operating in Latin America?”

Latin America is a diverse region with varying levels of exploration activity across its different countries. However, some of the leading oil and natural gas exploration companies operating there can be broadly categorized as follows:

1. National Oil Companies (NOCs) - Often the Dominant Players:

These companies frequently hold significant sway in their respective countries, often with direct government ownership and preferential access to resources. They are consistently among the most active explorers.

Petrobras (Brazil): A giant in the region, Petrobras is a leader in deepwa …

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

Also named
GeoPark3YPF2
Share of mentions

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

YPF
40.0%
GeoPark
40.0%
Vista Oil & Gas
10.0%
Pluspetrol
10.0%
Pampa Energía
0.0%
Pan American Energy
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
1/15
Claude
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.vistaenergy.com · 2,047 companies scanned

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

The checks behind the AI readiness score

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 checks
Discoverability
  • Passedrobots.txt publishedstudy: 85.0%
  • PassedXML sitemapstudy: 73.2%
  • PassedHTTP 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
  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed
AI search
  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed
Answering questions
  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

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

iea.org
21
spglobal.com
19
bnamericas.com
14
publications.iadb.org
12
privatebank.jpmorgan.com
10
iea.blob.core.windows.net
10
eia.gov
10
woodmac.com
10
simplywall.st
10
irena.org
9

In the study as US-listed.

Every question, and where the company came up (1 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Alternatives to investing directly in Latin American oil and gas equities
  • Is investing in Latin American oil and gas exploration a good option right now?
  • Oil vs natural gas production: which has better growth prospects in Latin America?
  • What are the leading oil and natural gas exploration companies operating in Latin America?
  • Common challenges faced by energy sector investors in the Latin American oil market
  • How can companies address environmental concerns in unconventional oil production?
  • What are the main factors affecting oil and gas asset valuations in Latin America?
  • How does shale oil exploration differ from conventional oil production in South America?
  • How do energy companies in South America apply sustainable production practices?
  • How does upstream energy project pricing differ between the U.S. and Latin America?
  • Best ways for U.S.-based investors to access Latin American energy sector opportunities
  • What should I look for when evaluating upstream energy companies in emerging markets?
  • Other sectors benefiting from growth in Latin American energy production
  • Role of technology in optimizing oil and gas production in Latin American fields
  • Renewable energy opportunities as an alternative to traditional oil and gas investments in South America
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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