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Oracle

CRM para empresas · Mexico

Oracle

Rank#17Top 99%of 45 tracked

Updated 2026-10-07

Brand Visibility

27.5%

Prompt Coverage

43%

AI Sub-Searches

86

Query fan-outs

Total Mentions

16

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What AI Says About Oracle

Real AI response mentioning Oracle — captured live from ChatGPT Search.

In response to: “Entre los CRM que usan las grandes empresas en México, ¿cuáles destacan?”

…muy integradas con Microsoft 365, Azure, Power BI y Teams | Integración con el ecosistema Microsoft | | SAP Customer Experience | Grandes organizaciones que ya tienen SAP como ERP | Integración profunda con procesos y datos de SAP | | Oracle CX | Corporativos con ecosistemas Oracle y operaciones complejas | Datos, ERP/finanzas y customer experience | | HubSpot | Empresas medianas y algunas grandes, especialmente B2B | Marketing + ventas + servicio y facilidad de uso | Los

ChatGPT Search

Prompts Tracked in CRM para empresas

AI Rankia runs these exact prompts across ChatGPT, Gemini, Perplexity, Claude & more to build this ranking.

1

“¿Para una empresa en México conviene más un CRM mexicano o uno internacional?”

normal result
2

“Recomienda opciones de CRM para una empresa con vendedores en campo en México”

normal result
3

“Voy a implementar un CRM en mi empresa en México, ¿cuál escojo?”

normal result

11 more prompts tracked ·

Each prompt fans out into dozens of AI sub-searches —never miss the semantic gaps ↓
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AI Model Breakdown

How often each AI search engine recommends Oracle.

Strongest AI Model

Gemini Search — mentioned in 42% of prompts

Gemini Search
42%
ChatGPT Search
18%
Google AI Mode
9%
Google AI Overviews
9%

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Nearby Competitors

Brands ranked closest to Oracle in AI search visibility.

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Prompts Mentioning Oracle

The exact buyer questions where AI recommends Oracle.

Pro
1

Entre los CRM que usan las grandes empresas en México, ¿cuáles destacan?

ChatGPT Search80% vis
2

Entre los CRM que usan las grandes empresas en México, ¿cuáles destacan?

Google AI Overviews75% vis
3

Recomienda opciones de CRM para una empresa con vendedores en campo en México

Google AI Mode70% vis
4

¿Cuánto cuesta un CRM para una empresa en México?

Gemini Search65% vis
5

¿Para una empresa en México conviene más un CRM mexicano o uno internacional?

Gemini Search30% vis

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Citation Sources

Domains AI models cite when recommending Oracle.

Pro
google.comGoogle AI Overviews
77citations
google.comGoogle AI Overviews
32citations
demarketing.mxGoogle AI Mode
11citations
blog.hubspot.esGoogle AI Mode
10citations
www.salesforce.comChatGPT Search
9citations
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Citation URLs

Specific pages AI links to when answering crm para empresas questions.

Pro
demarketing.mx/blog/mejores-crmGoogle AI Mode · 11 citations
blog.hubspot.es/sales/mejores-crm-mexicoGoogle AI Mode · 10 citations
asana.com/es/resources/best-crmGoogle AI Mode · 9 citations
www.ringover.mx/blog/herramientas-crmGoogle AI Mode · 8 citations
whaticket.com/blog/mejores-crm-mexicoGoogle AI Mode · 6 citations
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Query Fan-Out Intelligence

Every prompt fans out into dozens of sub-searches across AI models — covering every semantic angle a buyer might take. Miss one, and a competitor ranks instead.

86 sub-searches found
#AI Sub-Search QueryCount% Share
1Zoho CRM pricing official Mexico2
40.0%
2Zoho CRM precios México oficial2
40.0%
3CRM México precios pesos facturación CFDI integración CRM ventas HubSpot Zoho Pipedrive1
20.0%
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Do you rank in Google for these 86 AI sub-searches?

When AI recommends a crm para empresas brand, it doesn't just pick a name — it silently runs 86 sub-searchesacross Google to find corroborating evidence. Brands that rank for those queries get cited. Brands that don't, get skipped.

Our Query Fan-Out × Google Rank tool cross-references every AI sub-search against live Google rankings — so you can see exactly which ones Oracle wins, which ones competitors outrank you on, and where to focus first.

Match my Google rankings to AI sub-searches →

Is Oracle your company?

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About Oracle's AI Search Visibility

This ranking is powered by the AI Rankia Universal Brand Index (UBI) — a system that sends real buyer queries to ChatGPT, Google Gemini, Perplexity AI, Claude, Grok, and Google AI Mode, then measures which crm para empresas each model recommends. Rankings are updated regularly as AI models evolve.

Oracle achieved a prompt coverage of 43% — appearing in 6 of 14 tracked buyer queries — with an AI visibility score of 27.5%, placing them #17 of 45 crm para empresas in Mexico.

Oracle's strongest AI model is Gemini Search, cited in 42% of relevant prompts. Their weakest is Google AI Overviews at 9% — an opportunity to improve citations on that platform.

Seeing this ranking is step one. AI Rankia is the autonomous AI-visibility platform that acts on it— where read-only tools (Profound, Otterly, Semrush) just hand you a report, AI Rankia's agents publish the content AI cites, deploy the schema, llms.txt and internal links straight to your live site, buy the links AI already trusts for your competitors, and prove the citation lift against a control. Its Get Cited PR toolkit finds the journalists and creators who cover crm para empresas and automates the whole outreach — discover contacts, AI-write each pitch, send from your Gmail and track replies. Switch on autopilot and the agents run the entire loop end to end, every day — Monitor → Get Cited → Content Hub → AI Links — or take full manual control of every article, prompt, schema tag and link. Built for the teams that own crm para empresas visibility: agencies reporting to clients, and brands who want to move up this ranking instead of just watching it.

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