The Hype

Search has changed.Is your company in the answer?.

Customers already choose suppliers from the answers of ChatGPT, Gemini, Perplexity, Copilot, Claude and Google. We make sure your company is found, understood and recommended, and we apply AI where it creates real efficiency.

ChatGPTGeminiPerplexityMicrosoft CopilotClaudeGoogle AI OverviewsGoogle AI ModeChatGPTGeminiPerplexityMicrosoft CopilotClaudeGoogle AI OverviewsGoogle AI Mode

What changes for those competing.

Traditional searchAI engines

Ten links per search

One answer with a few recommended brands

The customer visits several sites

The customer decides before visiting any site

Ranking position

Being cited and recommended in the answer

Your own site is the main source

Third-party mentions outweigh your own site

Measuring clicks

Measuring presence, citations and recommendations

How AI engines choose whom to recommend.

No engine publishes a formula. Official sources and independent studies point to six factors.

AI
01

Accessible

The site can be read and indexed by search engines and AI assistants.

02

Clear

Organised information, with structured data consistent with what is visible.

03

Cited

Mentions in authoritative third-party sources, which outweigh your own site.

04

Consistent

The same company data across every listing, directory and platform.

05

Current

Recent, maintained content, which assistants tend to favour.

06

Measured

Tracking citations, which vary by engine, country and type of question.

The advantage of moving first.

Share of companies using artificial intelligence in 2025. Portugal is among the EU countries with the lowest adoption, an advantage for those who move now.

Portugal11.5%
EU average20%
Denmark (leader)42%
Large EU companies55%

Source: Eurostat, 2025 data (companies with 10 or more employees); INE. Eurostat

Four areas of practice.

01

Visibility in AI engines

Assessing the company’s presence in answers, correcting information, reference content and mentions in authoritative sources.

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  1. Presence audit
  2. Data correction
  3. Reference content
  4. Monthly monitoring
02

Intelligent process automation

Agents that read requests and prepare replies, proposals and documents, always with human validation before sending.

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  1. Request received
  2. Agent analysis
  3. Human validation
  4. Reply sent
03

AI decision support

Sales, marketing and operations data consolidated into a daily list of priority actions for management.

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  1. Consolidated data
  2. Pattern detection
  3. Priorities of the day
  4. Management decision
04

AI customer experience

Digital service with answers based on the company’s real information and handover to the team when needed.

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  1. Customer question
  2. Answer from validated base
  3. Handover to the team
  4. Continuous improvement

Which stage is your company at?.

  1. 1

    Exploration

    Occasional use of AI tools, without defined goals or rules.

  2. 2

    Experimentation

    First use cases in isolated areas, results not yet measured.

  3. 3

    Integration

    Use cases connected to company processes and data, with indicators.

  4. 4

    Scale

    AI applied across the business, with governance, validation and measured return.

According to McKinsey, 88% of organisations already use AI, but only 7% have scaled it across the business.

Principles.

01

Use cases with return

Every AI application has an objective and a performance indicator.

02

Human validation

No communication reaches a client without a person’s approval.

03

Company data

Information stays in the company’s accounts and systems, in line with GDPR.

See how your company shows up today.

In 60 seconds we analyse how ready your website is for search and AI engines.