Siemens Energy

siemens-energy.comIndustry, chemicals and energy

DAX 40

Level: 1; Basic web presence
Agent readiness score: 24
AEO score: 28
AI mention rate: 2%

Siemens Energy achieves level 1 in agent readiness with a score of 24, matching the industry median. AI engines name the brand in 1.7% of answers, with an AEO score of 28, ranking 7th of 13 in the industry. Link headers, markdown negotiation, llms.txt, content signals and an API catalogue are not yet in place.

The next three steps

1Content Signals
Add a Content-Signal line for search, ai-input and ai-train to robots.txt.
A step toward level 2
2Markdown negotiation
Return a markdown version when asked with Accept: text/markdown, for example at the CDN.
3llms.txt
Publish an llms.txt with a short summary and the key links.

Compared with Industry, chemicals and energy

Agent readiness24
Industry median 24 · rank 6 of 13
AEO score28
Industry median 28 · rank 7 of 13
Mentions in AI answers2
Industry median 2 · rank 7 of 13
Visibility36
Industry median 30 · rank 3 of 13
Citations0
Industry median 1 · rank 9 of 13
Sentiment50
Industry median 50 · rank 7 of 13

Agent readiness level

0Not yet agent-ready
1Basic web presence
2Bot-aware
3Agent-readable
4Agent-integrated
5Agent-native

To reach level 2:

Content Signals

Areas

Discoverability77
Content accessibility0
Bot access control32
APIs, auth and MCP0

Every check

Discoverability

robots.txtPassed
A valid robots.txt with crawl rules at the site root.
Top sites: 98%
SitemapPassed
An XML sitemap listing the pages, ideally referenced from robots.txt.
Top sites: 88%
Link headersNot met
Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.
Top sites: 0%
DNS for AI DiscoveryNot present
Advertise agent endpoints with SVCB records under _agents.
Top sites: 5%

Content accessibility

Markdown negotiationNot met
Return a markdown version when asked with Accept: text/markdown, for example at the CDN.
Top sites: 2%
llms.txtNot met
Publish an llms.txt with a short summary and the key links.
Top sites: 15%

Bot access control

AI bot rulesPartly met
Add explicit robots.txt groups for the main AI crawlers.
Top sites: 99%
Content SignalsNot met
Add a Content-Signal line for search, ai-input and ai-train to robots.txt.
Top sites: 2%
Web Bot AuthNot present
Only relevant if you run your own agents or crawlers: publish a signing key directory.
Top sites: 0%

APIs, auth and MCP

API CatalogNot met
List public APIs in a linkset at /.well-known/api-catalog.
Top sites: 0%
OAuth discoveryNot met
Publish OpenID Connect or OAuth server metadata under /.well-known.
Top sites: 1%
OAuth Protected ResourceNot met
Serve protected resource metadata at /.well-known/oauth-protected-resource.
Top sites: 1%
auth.mdNot met
Publish an auth.md describing how agents sign in.
Top sites: 0%
MCP Server CardNot met
Offer an MCP server and publish its server card under /.well-known.
Top sites: 0%
A2A Agent CardNot met
Publish an agent card at /.well-known/agent-card.json.
Top sites: 0%
Agent SkillsNot met
Publish a skills index with the main tasks agents can do.
Top sites: 0%
WebMCPNot met
Register key actions such as search or cart as WebMCP tools.
Top sites: 1%
ARD manifestNot met
Publish an ai-catalog.json listing every agent interface.
Top sites: 0%

AI crawler rules (robots.txt)

Training

GPTBotallowed
ClaudeBotallowed
Anthropic-AIallowed
Google-Extendedallowed
GoogleOtherallowed
Applebot-Extendedallowed
Meta-ExternalAgentallowed
FacebookBotallowed
Bytespiderallowed
CCBotallowed
AI2Botallowed
Cohere-AIallowed
Claude-Weballowed
Omgilibotallowed
Diffbotallowed

OAI-SearchBotallowed
Claude-SearchBotallowed
PerplexityBotallowed
Applebotallowed
Amazonbotallowed
YouBotallowed
Timpibotallowed

Assistant

ChatGPT-Userallowed
Claude-Userallowed
Perplexity-Userallowed
DuckAssistBotallowed
MistralAI-Userallowed

Agentic commerce

x402Not present
MPPNot present
UCPNot present
ACPNot present
AP2Not present

Protocols that let AI agents shop and pay by themselves. They don't count toward the level.

Agent readiness score 24 · coverage 100% · checked on 19/09/2026 · www.siemens-energy.com

Mentions per AI engine

AIOpenAI0/15 · 0%
CClaude0/15 · 0%
PPerplexity1/15 · 7%
Sentiment: 0% positive, 100% neutral, 0% critical
GGemini0/15 · 0%

Spotlight: Gemini

0%0 of 15 answers name Siemens Energy

„Was sind die besten Technologien zur Dekarbonisierung industrieller Energiesysteme?“

Die Dekarbonisierung industrieller Energiesysteme erfordert eine Kombination aus verschiedenen technologischen Ansätzen, um fossile Energieträger zu ersetzen und die Energieeffizienz zu maximieren. Hier sind die wichtigsten und wirksamsten Technologien im Überblick: 1. Direkte Elektrifizierung und Erneuerbare EnergienBDIBDIDekarbonisierung der Industrie – Der Weg in die Klimaneutralität - BDI„Sie werden überall dort …

AI answer as returned, unverified and shortened.

Gemini names instead

Power-to-Heat
Wasserstoff
Wärmepumpen
Photovoltaik
Industrielle Wärmepumpen
Geothermie
Power-to-X
Windkraft

Sources: ise.fraunhofer.de, live.handelsblatt.com, wessel-umwelttechnik.de, bdi.eu, focus.de, agora-energiewende.de

Share of voice

Siemens Energy9.1%
Hitachi Energy0%
Siemens Gamesa0%
MAN Energy Solutions0%
ABB Energy Industries0%
GE Vernova (General Electric Energy)0%

Most cited sources

1.ise.fraunhofer.de20
2.kfw.de17
3.bundeswirtschaftsministerium.de15
4.agora-energiewende.de10
5.umweltbundesamt.de9
6.n-tv.de9
7.it-boltwise.de7
8.bundesumweltministerium.de6

Own domain's share of all citations: 0%

Every question and answer

Question (original German)	AIOpenAI	CClaude	PPerplexity	GGemini
Was sind die besten Technologien zur Dekarbonisierung industrieller Energiesysteme?
Welche häufigen Probleme gibt es bei der Integration von nachhaltigen Energiesystemen in bestehende Infrastrukturen?
Sind CO2-reduzierende Energielösungen im deutschen Markt 2024 wirtschaftlich rentabel?
Wie kann man Ausfälle oder Ineffizienzen bei Erzeugungsanlagen zur Dekarbonisierung verhindern?
Lohnen sich Investitionen in netzgebundene Energiespeicherlösungen für mittelständische Unternehmen?
Welche preislichen Unterschiede gibt es zwischen Photovoltaik- und Windenergieprojekten in Deutschland?
Welche Alternativen gibt es zu großflächigen Solarparks bei der Emissionssenkung im Energiesektor?
Wie entwickeln sich die Kosten für die Implementierung von CO2-armem Energiemanagement in Deutschland?
Wie können Energieversorger städtische Netze auf erneuerbare Energien umstellen?
Welche nachhaltigen Energiesysteme eignen sich für Unternehmen mit hohem Energiebedarf?
Wie unterscheiden sich Wasserstofftechnologien von Batteriespeichern im Bereich industrielle Dekarbonisierung?
Welche Fördermöglichkeiten gibt es für Unternehmen, die in nachhaltige Energielösungen investieren möchten?
Was sind erfolgreiche Beispiele für die Umsetzung von grüner Wasserstofftechnologie in der Industrie?
Was sind die Vor- und Nachteile von Power-to-X im Vergleich zu klassischen erneuerbaren Energien?
Was sind kostengünstige Alternativen zu Power-to-X-Anlagen für kleine und mittlere Unternehmen?

Brand named, positive
Brand named, neutral
Brand named, critical
Only competitors named
Brand not named
No answer

Badge for your website

<a href="https://aeo-audit.rezolve.com/de/siemens-energy" title="KI-Check Deutschland 2026: Siemens Energy"><img src="https://aeo-audit.rezolve.com/de/badges/siemens-energy.svg" alt="Agent Readiness Stufe 1, KI-Check Deutschland 2026" width="260" height="64"></a>

Audit completed on 19 September 2026. Methodology

Siemens Energy

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