AI Reputation Management: control how ChatGPT, Gemini, Perplexity and Google SGE describe your brand
Your reputation no longer depends only on Google, customer reviews or social media. It also depends on what ChatGPT, Gemini, Perplexity, Claude, Grok and Copilot understand, summarise and repeat about your business.
Why AI reputation is becoming strategic
Traditional SERM focuses on Google results: reviews, articles, visible pages, forums, positive or negative mentions. This approach remains useful, but it no longer covers the full reality of search.
AI engines add a new layer. They do not simply show a list of links. They synthesise a perception. They can summarise your activity, compare your brand with others, mention your strengths, ignore your proof or reuse outdated information.
The risk is clear: your company may be visible, but misunderstood. An AI Reputation strategy helps you better control the available signals, positive content, sources used and the way your brand is interpreted.
AI Reputation vs traditional SERM: protect perception, not only search results
Traditional SERM answers the question: what do people see when they search for your brand on Google?
AI Reputation answers a broader question: how do artificial intelligence systems understand and describe your brand?
Traditional SERM
Analyses Google results, reviews, visible articles, forums and reputation-related content.
AI Reputation
Analyses generated answers, synthesised perception, sources used and competitors recommended.
Complete approach
Combines Google visibility, digital authority, positive content, entities, reviews and brand consistency.
What we analyse in your AI reputation
An AI reputation analysis consists of testing your brand in several environments and comparing the gap between your desired positioning and the perception generated by AI engines.
Brand description
How do AI systems describe your company, services, geographic area and specialty?
Accuracy
Is the information reused by AI systems correct, current and consistent with your positioning?
Sources used
Do AI systems rely on your website, external profiles, reviews or competing sources?
Competitors cited
Which competitors are recommended instead of you, and why do they appear more credible?
Positive signals
Do your reviews, content, proof, FAQs and external profiles strengthen trust sufficiently?
Inconsistencies
Which outdated, vague or contradictory pieces of information may create a weak perception?
AI Reputation audit across ChatGPT, Gemini, Perplexity, Claude, Grok and Copilot
Each AI engine can give a different image of your company. ChatGPT may summarise your brand from general signals. Gemini may rely on the Google ecosystem. Perplexity may cite visible sources. Claude may analyse content consistency. Grok may include signals connected to the X ecosystem. Copilot may be used in a professional context.
A serious analysis should therefore not be limited to a single tool. We compare answers, descriptions, sources and recommendations to identify gaps.
The risks of a weak AI reputation
A weak AI reputation does not necessarily mean there is negative content. The problem can be more subtle: your brand is not well known enough, your positioning is unclear, your services are misunderstood or your content does not provide enough proof.
In that case, AI may simply not recommend you, may describe you too vaguely or may favour a better-structured competitor.
Invisible
Your company exists, but is not cited when the user asks for a recommendation.
Misunderstood
AI systems describe your activity in a way that is too vague, incomplete or incorrect.
Overtaken
Better-structured competitors are recommended more often, even when your offer is relevant.
Positive sources and perception cleanup
AI Reputation management is not about manipulating AI engines. It is about providing a clearer, more reliable and more consistent information environment.
This may include strengthening brand pages, optimising the About page, clarifying services, creating expert content, improving FAQs, aligning external profiles, managing reviews better and correcting inconsistencies.
Clarify
Make your positioning, services, areas and expertise easier to understand.
Strengthen
Create or optimise content that provides positive, durable and consistent signals.
Align
Correct gaps between website, external profiles, reviews, Google Business Profile and brand mentions.
AI reputation and customer reviews: an important signal, but not enough on its own
Reviews remain an important signal, especially for local businesses. But reviews alone are not enough. An AI system must be able to connect reviews to your services, expertise, location, method, reliability and positioning.
If reviews exist but the website is weak, the perception remains incomplete. If the website is clear but reviews are missing or inconsistent, trust may also be limited.
AI Reputation for Lausanne, Vevey, Montreux and French-speaking Switzerland
For a local business, AI reputation has a strong geographic dimension. Users may ask which digital agency to recommend in Lausanne, which marketing provider is reliable in French-speaking Switzerland or which company to choose to improve visibility on Google and ChatGPT.
In this case, AI systems must understand not only your activity, but also your local relevance. This requires a clear geographic area, well-structured services, consistent reviews, an optimised Google Business Profile, non-cannibalised local pages and content adapted to the Swiss market.
AI Reputation and brand content
A company that does not clearly speak about itself leaves AI systems to build a perception from fragments. This is why brand content plays a central role in SERM 2.0.
The About page, service pages, case studies, FAQs, expert content, methodology explanations, proof of competence and external profiles must tell a coherent story.
About page
It clarifies identity, expertise, method, clients and area of service.
Service pages
They explain precisely what you do, for whom and with which expected outcomes.
Expert content
It strengthens your credibility and gives AI engines stronger signals.
AI Reputation and competitors: who do AI engines recommend instead of you?
An AI reputation analysis must also compare your brand with competitors. It is not enough to know how an AI system describes you. You need to understand who is recommended instead of you and why.
We analyse cited competitors, the sources that strengthen them, the content that gives them an advantage, the entities that are better defined on their side and the proof that is more visible across their ecosystem.
This comparison makes it possible to define a realistic strategy for improving your position.
Who is AI Reputation Management for?
This service is particularly useful for companies that want to protect and strengthen the way their brand is understood in the new generation of search.
Local SMEs
To be better understood and more credible in local recommendations generated by AI.
B2B companies
To control perception in decision cycles where trust is decisive.
Agencies
To avoid generic descriptions and reinforce differentiation against competitors.
Specialised firms
To connect expertise, methodology, proof and reputation in one coherent ecosystem.
Fragile brands
To correct inconsistencies, strengthen positive content and better control perception.
Websites in transformation
To align new content, external profiles, reviews, SEO and AI reputation.
What you receive with an AI Reputation analysis
The mission can be one-off or integrated into a broader GEO strategy. The objective is to understand the current perception and define the actions needed to strengthen it.
Multi-engine AI tests
Analysis of responses in ChatGPT, Gemini, Perplexity, Claude, Grok and Copilot.
Perception analysis
Evaluation of how your brand is described, understood and positioned.
Source audit
Identification of the content, profiles, reviews or pages used to build perception.
Competitive analysis
Comparison with competitors recommended or better described by AI engines.
SERM 2.0 roadmap
Priorities to strengthen positive content, correct inconsistencies and align signals.
Evolution tracking
Regular tests to observe changes in AI answers and descriptions.
Services related to AI Reputation
Frequently asked questions about AI Reputation
What is AI Reputation?
AI Reputation refers to the way AI engines such as ChatGPT, Gemini, Perplexity, Claude, Grok or Copilot understand, describe and position your brand.
What is the difference with traditional SERM?
Traditional SERM works on visible results in Google. AI Reputation analyses the answers generated by AI engines and the synthesised perception of your company.
Can we control what ChatGPT says about a company?
You cannot directly control the answers, but you can improve the sources, content, entities and signals that AI systems may use to understand the brand.
Why is my company not recommended by AI systems?
This may come from a lack of authority, unclear content, vague positioning, a lack of reliable sources or better-structured competitors.
Is it useful for a local business?
Yes. Users increasingly ask AI engines for local recommendations. A local company must therefore be clearly associated with its services, area and trust signals.
Should negative content be removed?
Not always. The priority is often to strengthen reliable content, correct inconsistencies, improve positive signals and make the brand clearer.
Can AI reputation evolution be tracked?
Yes. Regular tests can be carried out, comparing answers across different AI engines and tracking citations, descriptions and recommended competitors.
Does AI Reputation replace review management?
No. Reviews remain important, especially locally. AI Reputation integrates them into a broader system: content, entities, sources, external profiles, Google Business Profile and authority signals.
Your reputation also depends on what AI systems understand about you
Users no longer consult only Google. They ask ChatGPT, Gemini, Perplexity, Claude, Grok or Copilot to summarise, compare and recommend companies.
An AI Reputation analysis helps you understand how your brand is perceived and which actions can strengthen that perception.