AI & Reputation

AI Reputation Management

AI is changing how people learn about you online. Platforms like ChatGPT, Google AI Overviews, and Perplexity are rewriting how the public sees your reputation, but are they telling the right story?

The New Frontier of Reputation Management

The way people search is fundamentally changing. Instead of scanning a list of Google links, millions now ask AI assistants like ChatGPT, Google's AI Overviews, Perplexity, and Copilot direct questions about individuals and businesses. These systems synthesise information from across the web and present it as authoritative summaries.

This creates an entirely new reputation challenge. AI doesn't show you a list of results to evaluate - it tells you what it "thinks" about a person or company. If the web content it draws from is negative, outdated, or inaccurate, that's the story the AI tells. And unlike traditional search, users have no opportunity to see the source and judge for themselves.

Why AI Reputation Management Is Critical

AI Amplifies Negative Content

AI systems don't distinguish between a prominent negative article and a minor positive one. If negative content has strong signals (authority, recency, engagement), AI will prioritise it in summaries, making a single bad article more damaging than ever.

No "Page Two" in AI Search

In traditional search, negative content on page two is rarely seen. But AI reads everything. A negative article buried on page three of Google can still be cited in an AI summary if it's the most authoritative source available.

AI Summaries Feel Authoritative

When a person reads a list of Google results, they apply their own judgment. When an AI assistant states something as fact, users tend to accept it. Inaccurate AI summaries of your reputation carry more weight than a negative link in search results.

How AI Engines Build Their Answers

To manage what AI says about you, it helps to understand how the answer gets built. Most current AI engines work in two layers.

The training-data layer. Each engine has been trained on a snapshot of the internet, plus licensed text sources. Wikipedia, news outlets, professional directories, social platforms, and personal websites all feed in. This snapshot is fixed at a point in time - GPT-4's was early 2024, Claude's varies by version, Gemini's is rolling. The training data is what the engine "knows" by default.

The retrieval layer. When you ask a current engine about a specific person or business, most engines run a live web search and read the top results before drafting an answer. ChatGPT does this. Perplexity is built almost entirely around it. Google AI Overviews lean heavily on conventional search ranking. The retrieval layer is what brings the answer up to date.

Shaping what AI says about you requires acting on both layers. Wikipedia, structured data, and high-authority third-party content shape the training data for the next model version. Strong search rankings and accurate schema shape what the retrieval layer fetches today. Both matter; neither alone is enough.

Which AI Engines Matter for Reputation in 2026

Not all AI engines deserve equal attention. Five matter for reputation purposes.

ChatGPT

Largest user base, broad use cases. Live web access for paid users. Strong reliance on Wikipedia and major-publisher content. The single most influential engine for what most people will see about you.

Google AI Overviews

Embedded in Google search itself for many queries, including named searches in some regions. Closely tied to conventional Google rankings, which makes traditional SEO work double-duty for AI Overview placement.

Perplexity

Smaller user base but disproportionately influential among researchers, journalists, and analysts. Heavy reliance on the live retrieval layer means strong recent content moves fast here.

Claude

Used heavily by enterprise customers and increasingly embedded in third-party tools. Long training cycles and emphasis on cited sources make Wikipedia and high-authority outlets particularly important.

Gemini

Embedded throughout the Google ecosystem - Workspace, Android, Maps. Increasingly important for branded search through Google services rather than direct visits.

Smaller Engines

Copilot, You.com, and Mistral chat generally inherit answers from one of the above plus their own retrieval. Worth monitoring but rarely require separate optimisation.

How We Manage AI Reputation

AI reputation management - sometimes called Generative Engine Optimisation (GEO) - requires a new approach beyond traditional SEO.

AI Output Monitoring

We regularly test what major AI systems say about you across different query types and prompts.

Source Content Optimisation

We create and optimise content on high-authority sites that AI systems are most likely to draw from.

Structured Data Strategy

We implement schema markup and structured data that helps AI accurately understand and represent your information.

Knowledge Base Building

We build a comprehensive web of authoritative content that gives AI systems consistent, accurate, positive information to synthesise.

Ongoing Calibration

AI models update regularly. We continuously monitor and adjust strategy to maintain positive AI representation.

Traditional ORM asks: what does Google show? AI reputation management asks: what does AI tell people about you? Both questions now demand answers.

AI Reputation Questions

What is AI reputation management?

Think of it as protecting how AI tools like ChatGPT, Google AI Overviews, Perplexity, Claude, Gemini, and Copilot describe you or your business. It focuses on shaping the specific online sources these models scan and pull from when answering questions about you.

What is Generative Engine Optimisation (GEO)?

GEO means building and formatting your web content so AI search engines choose to cite and recommend it. It's the new SEO, but instead of trying to rank higher in classic search results, you are making your content easy for AI models to use in their answers. This involves using structured data, clear formatting, and highly authoritative sources.

Can I really control what AI says about me?

To a point, yes. You can't just log in and change an AI's brain, but you can change what it reads. Because AI models constantly refresh on public web content, you can heavily shape their answers over time by publishing accurate profiles, structured data, and high-authority articles.

How is AI reputation different from Google reputation?

Traditional Google reputation management is all about hiding negative links on page two or three. AI is completely different. It doesn't just give people a list of links to click; it reads those links, combines them, and writes a single, confident summary. The trouble is, an old, negative article buried on page three of Google can still be dug up and used by an AI assistant.

Why does AI reputation matter now?

Millions of people have already stopped using traditional search engines and are asking AI assistants their questions instead. More brand searches now start in an AI tool rather than on Google. The best time to shape how these platforms represent you is right now, while the tech is still setting its standards.

What's the difference between GEO and AEO?

GEO (Generative Engine Optimisation) is designed for AI search and synthesis engines like ChatGPT and Perplexity that draft full paragraphs to answer prompts. AEO (Answer Engine Optimisation) targets older, instant-answer features like Google's featured snippets and "People Also Ask" boxes. While they overlap, AEO focuses on short, snappy facts, while GEO requires deeper, authoritative context.

Can you remove negative content from AI training data?

You can't directly delete information from an AI's core training memory. However, because AI models update their data through regular training cycles, you can change the outcome. By removing negative sources from the web and replacing them with accurate, positive content, the AI will naturally adjust what it says over time.

How can I check what AI says about me right now?

The easiest way is to open up the main AI platforms in fresh tabs and ask, "Who is [your full name]?" Follow that up with questions about what you do, where you live, or your job. Keep an eye out for errors or instances where it mixes you up with someone else who shares your name. Make sure to save these answers with the date. This gives you a clear baseline so you can see how your footprint changes later. Checking all five major engines takes about 30 minutes.

How often does AI's view of me actually update?

It depends entirely on the tool. Engines with live web search (like Perplexity or ChatGPT with browsing turned on) update almost instantly new web content can shift their answers in hours or days. On the other hand, the core training data of these models only updates when a brand-new version ships, which usually takes anywhere from six to eighteen months. So, while live search updates constantly, the deeper model memory takes longer.

Control what AI says about you.

Get your free AI reputation check today. We'll show you exactly what Google AI and other major systems say when people search your name.

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