# Reputation.blog

> Documented company information, researched and fact-checked.


## Posts

- [Do I Need Technical Skills to Use AI in My Business?](https://reputation.blog/do-i-need-technical-skills-to-use-ai-in-my-business/): No. The AI tools most small businesses use are conversational — you type what you want in ordinary language and read what comes back.
- [What Business Tasks Is AI Actually Good At?](https://reputation.blog/what-business-tasks-is-ai-actually-good-at/): AI is genuinely good at work that involves producing, compressing, or reshaping text: drafting, summarizing, reformatting, and finding things inside documents you already have.
- [Does AI Just Make Things Up?](https://reputation.blog/does-ai-just-make-things-up/): Not deliberately — an AI system has no intent to deceive you — but yes, in effect: it can state false things fluently and with complete confidence.
- [What Is an AI Answer, and Where Does It Come From?](https://reputation.blog/what-is-an-ai-answer-and-where-does-it-come-from/): An AI answer is text the system writes at the moment you ask — it is not a page copied from somewhere, and it is not a record pulled from a database.
- [What Is the Difference Between Google and ChatGPT?](https://reputation.blog/what-is-the-difference-between-google-and-chatgpt/): Google gives you a list of pages and lets you decide which ones to trust; ChatGPT gives you a finished answer it has already decided on.
- [What Is ChatGPT, and Why Are My Customers Using It?](https://reputation.blog/what-is-chatgpt-and-why-are-customers-using-it/): ChatGPT is a conversational AI — a program you talk to in plain language that answers back in plain language, built by the company OpenAI.
- [What Are the Risks of Starting an AI Business?](https://reputation.blog/what-are-the-risks-of-starting-an-ai-business/): The core risk of starting an AI business is that you are building on ground you do not own: the models, prices, and capabilities your offer depends on are controlled by a handful of platform companies that can change them at any time.
- [How Can Small Businesses Use AI to Generate Revenue?](https://reputation.blog/how-can-small-businesses-use-ai-to-generate-revenue/): A small business generates revenue with AI the same way it generates revenue with anything else: by reaching buyers it wasn't reaching, responding to them faster, and offering them something worth paying for.
- [How to Start an AI Consulting Business](https://reputation.blog/how-to-start-an-ai-consulting-business/): An AI consulting business sells one thing: judgment a client can act on.
- [How to Build Websites Using AI](https://reputation.blog/how-to-build-websites-using-ai/): You build a website with AI the same way you build one without it: discovery first, structure second, the client's verified facts as the foundation, and a human checking every claim, link, and form before anything goes live.
- [What AI Services Can You Sell to Businesses?](https://reputation.blog/what-ai-services-can-you-sell-to-businesses/): Businesses do not buy "AI." They buy specific relief: a question answered, a backlog cleared, a record documented, a task that stops eating someone's week.
- [How to Start an AI Automation Agency](https://reputation.blog/how-to-start-an-ai-automation-agency/): An AI automation agency is not really an AI business.
- [How to Start an AI Business](https://reputation.blog/how-to-start-an-ai-business/): You start an AI business the way you start any business: find a specific buyer with a specific, expensive problem, and get them to pay you to solve it.
- [How to Make Money With AI](https://reputation.blog/how-to-make-money-with-ai/): People make money with AI the same way they made money with every previous technology: by selling something a buyer already wants, produced at a lower cost or a higher quality than before.
- [How Should Businesses Prepare for AI-Driven Customer Discovery?](https://reputation.blog/how-should-businesses-prepare-for-ai-driven-customer-discovery/): Preparing for AI-driven customer discovery means doing a specific, finite set of things: finding out what AI systems currently say about your business, making your core facts consistent everywhere they appear, publishing plain-text answers to the questions customers actually ask, earning independent corroboration, and checking the answers on a schedule.
- [What Is Answer Engine Optimization?](https://reputation.blog/what-is-answer-engine-optimization/): Answer Engine Optimization (AEO) is the practice of preparing your business's published information so that answer engines — systems that respond to a question with a direct answer instead of a list of links — can find that information, understand it, and use it when they answer.
- [What Is Generative Engine Optimization?](https://reputation.blog/what-is-generative-engine-optimization/): Generative Engine Optimization — GEO — is the practice of shaping content and information so that generative AI systems are more likely to retrieve it, cite it, and represent it accurately in their answers.
- [What Is AI Visibility?](https://reputation.blog/what-is-ai-visibility/): AI visibility is the degree to which a business is discovered, accurately described, cited, and recommended in AI-generated answers.
- [How Does AI Affect Online Reputation?](https://reputation.blog/how-does-ai-affect-online-reputation/): AI affects online reputation by turning a scattered collection of pages, listings, and reviews into a conclusion that can be stated in one confident answer.
- [How Is AI Changing Customer Discovery?](https://reputation.blog/how-is-ai-changing-customer-discovery/): AI systems are changing customer discovery by turning many searches into conversations in which the system summarizes the options and names only a few businesses.
- [How Can Small Businesses Benefit From AI?](https://reputation.blog/how-can-small-businesses-benefit-from-ai/): A small business benefits from AI in three concrete ways: it gets back some of the owner's scarcest hours, it keeps everyday output consistent without heroic effort, and it rents skills it could never afford to hire.
- [How Can Businesses Use Artificial Intelligence?](https://reputation.blog/how-can-businesses-use-artificial-intelligence/): Businesses use artificial intelligence mainly to draft, summarize, search, and sort text faster than a person can do it unaided.
- [What Is Indirect Prompt Injection?](https://reputation.blog/what-is-indirect-prompt-injection/): Indirect prompt injection is an attack in which the malicious instructions are not in the user's message at all, but hidden in third-party content the AI system reads while carrying out a task — a webpage, a PDF, an email, a calendar invite, a code file.
- [What Is Prompt Injection?](https://reputation.blog/what-is-prompt-injection/): Prompt injection is an attempt to take control of an AI system by hiding instructions in content the system processes, so the model follows the attacker's instructions instead of the user's or the developer's.
- [Ethical AI Visibility vs. AI Manipulation: Where Is the Line?](https://reputation.blog/ethical-ai-visibility-vs-ai-manipulation/): The line between ethical AI visibility work and AI manipulation is not a mood or a vibe.
- [How Do You Correct False Information About a Company?](https://reputation.blog/how-do-you-correct-false-information-about-a-company/): You correct false information about a company at its sources, not inside the AI system — there is no edit button in ChatGPT, no correction form that rewrites what an AI answer says.
- [How Can Businesses Protect Their AI Reputation?](https://reputation.blog/how-can-businesses-protect-their-ai-reputation/): Mostly by controlling the record about your business that you actually control.
- [Can Fake Reviews Influence AI Recommendations?](https://reputation.blog/can-fake-reviews-influence-ai-recommendations/): Yes. Reviews are part of the published record that AI systems read, retrieve, and quote when they describe and recommend businesses — so fake reviews can influence what an AI system says, including which businesses it names.
- [Can Malicious Documents Influence AI Answers?](https://reputation.blog/can-malicious-documents-influence-ai-answers/): Yes. A document created to deceive an AI system can influence its answers in two documented ways: it can be found and used as evidence, so the system repeats its false claims as fact; or it can carry hidden instructions that the system follows while answering.
- [What Is Knowledge Base Poisoning?](https://reputation.blog/what-is-knowledge-base-poisoning/): Knowledge base poisoning is the deliberate corruption of the specific collection of documents an AI system answers from — its knowledge base — so that the system's answers change in ways the attacker chooses.
- [What Is RAG Poisoning?](https://reputation.blog/what-is-rag-poisoning/): RAG poisoning is the deliberate planting of crafted documents in the body of material an AI system retrieves from, so that those documents surface for chosen questions and steer the answers toward what the planter wants said.
- [What Is Model Poisoning?](https://reputation.blog/what-is-model-poisoning/): Model poisoning is an attack on the AI model itself: someone tampers with the model's internal settings — its weights — or with the process that produces them, so the finished model behaves in ways its maker did not intend.
- [What Is Training Data Poisoning?](https://reputation.blog/what-is-training-data-poisoning/): Training data poisoning is the deliberate corruption of the data an AI model learns from.
- [What Is AI Data Poisoning?](https://reputation.blog/what-is-ai-data-poisoning/): AI data poisoning is the deliberate corruption of the information an AI system learns from or looks up, done so that the system's answers change in a direction the poisoner wants.
- [AI Poisoning and RAG Poisoning: How False Information Gets Into AI Answers](https://reputation.blog/ai-poisoning-and-rag-poisoning/): "Poisoning" is the corruption of the information an AI system depends on.
- [Can Someone Poison What AI Says About My Business?](https://reputation.blog/can-someone-poison-what-ai-says-about-my-business/): Yes, in principle.
- [How Long Does It Take for AI to Notice Changes to My Business Information?](https://reputation.blog/how-long-for-ai-to-notice-changes/): There is no published schedule, so honestly: nobody — including us — can give you an exact date.
- [Does My Website Help ChatGPT Recommend My Business?](https://reputation.blog/does-my-website-help-chatgpt-recommend-my-business/): Yes, having a website matters — listings alone are not enough.
- [Do Online Reviews Influence ChatGPT Recommendations?](https://reputation.blog/do-online-reviews-influence-chatgpt-recommendations/): Yes — reviews are one of the public sources AI systems can read, quote, and draw on when they describe a local business, and the words your customers use in reviews often show up in how AI answers describe you.
- [What Information About My Business Should Be Online, Word for Word?](https://reputation.blog/what-information-about-my-business-should-be-online-word-for-word/): The short answer: your core facts — your business name, what you do, where you are, your service area, your hours, your services, and how to contact you — should appear in the same words, in plain text, everywhere your business shows up online.
- [Does My Business Need to Be on AI, or Is Google Enough?](https://reputation.blog/business-need-ai-or-is-google-enough/): For most businesses today, Google is still the main way customers find you, and keeping your Google presence healthy remains the priority — nobody honest will tell you otherwise.
- [How Do I Correct Incorrect Information About My Business in ChatGPT?](https://reputation.blog/how-do-i-correct-incorrect-information-about-my-business-in-chatgpt/): You fix wrong information in AI answers by correcting it everywhere it appears on the open web — starting with your own website and your business listings — because AI tools assemble their answers from those sources, not from a single database you can edit.
- [Why Does ChatGPT Describe My Business Wrong?](https://reputation.blog/why-does-chatgpt-describe-my-business-wrong/): Usually because something on the web says it wrong first.
- [Why Does AI Recommend My Competitor and Not Me?](https://reputation.blog/why-does-ai-recommend-my-competitor-and-not-me/): In most cases, it is not because the AI prefers your competitor — it is because your competitor is easier for the AI to describe.
- [How Does ChatGPT Choose Which Businesses to Recommend?](https://reputation.blog/how-does-chatgpt-choose-which-businesses-to-recommend/): Honestly: no AI company publishes the exact rules it uses to decide which businesses get mentioned in an answer, so nobody outside those companies knows the full formula.
- [How Do I Get My Business Mentioned in ChatGPT?](https://reputation.blog/how-do-i-get-my-business-mentioned-in-chatgpt/): You cannot submit your business to ChatGPT, and there is no setting, listing, or fee that guarantees it will mention you.
- [How Do I Monitor My Business's Visibility in ChatGPT?](https://reputation.blog/how-do-i-monitor-my-businesss-visibility-in-chatgpt/): You monitor your visibility in ChatGPT the way you would monitor anything that changes: ask the same questions, the same way, on a regular schedule, and write down what you get.
- [Why Doesn't ChatGPT Recommend My Business?](https://reputation.blog/why-doesnt-chatgpt-recommend-my-business/): If ChatGPT doesn't recommend your business, the most likely reason is not that the system has judged you and found you wanting.
- [How Do I Get ChatGPT to Recognize My Company as an Authority?](https://reputation.blog/how-do-i-get-chatgpt-to-recognize-my-company-as-an-authority/): You cannot apply for it, buy it, or switch it on — there is no authority badge, verified status for expertise, or submission process that makes ChatGPT treat a company as an authority.
- [How Does ChatGPT Find Local Businesses?](https://reputation.blog/how-does-chatgpt-find-local-businesses/): ChatGPT finds local businesses in the same place everyone else does: the public record of the web.
- [Does ChatGPT Use Google Search Results?](https://reputation.blog/does-chatgpt-use-google-search-results/): Not exactly — and for many questions, not at all.
- [Can I Pay to Be Recommended by ChatGPT?](https://reputation.blog/can-i-pay-to-be-recommended-by-chatgpt/): No. There is no product, plan, or payment that buys your business an organic recommendation inside ChatGPT's answers.
- [How Do I Get ChatGPT to Recommend My Business?](https://reputation.blog/how-do-i-get-chatgpt-to-recommend-my-business/): You cannot submit your business to ChatGPT, pay for a placement, flip a setting, or use a trick that makes it recommend you.
- [How Can a Business Become a Trusted Information Source?](https://reputation.blog/how-can-a-business-become-a-trusted-information-source/): A business becomes a trusted information source as a byproduct, not by declaration: it publishes primary, accurate, and consistent information about itself and its field in forms that AI systems can retrieve, it is corroborated by independent sources that were not paid to agree with it, and it corrects its own errors visibly when they surface.
- [How Do AI Systems Identify Companies and Brands?](https://reputation.blog/how-do-ai-systems-identify-companies-and-brands/): An AI system identifies your company the way a careful stranger would: it gathers mentions of the name from many sources — your website, directories, reviews, press, knowledge bases — and decides which mentions refer to the same business, building one picture out of the pieces.
- [Does Domain Authority Matter to AI Systems?](https://reputation.blog/does-domain-authority-matter-to-ai-systems/): No — "domain authority" is not a documented input to any AI system.
- [Does Traditional SEO Influence AI Visibility?](https://reputation.blog/does-traditional-seo-influence-ai-visibility/): Yes — traditional SEO influences AI visibility at the foundation, because AI systems retrieve from indexes built much like search indexes: if a page cannot be crawled, indexed, and read as text, no AI system can cite it, whatever the page's merits.
- [What Makes a Website a Reliable AI Source?](https://reputation.blog/what-makes-a-website-a-reliable-ai-source/): A website is a reliable AI source when an automated system can verify what it says without effort: the publisher's identity is explicit, the facts agree with themselves and with the wider public record, the information is original rather than copied, the text is complete and readable, and the page is visibly maintained.
- [Why Does AI Cite Some Websites and Ignore Others?](https://reputation.blog/why-does-ai-cite-some-websites-and-ignore-others/): Most websites are ignored by AI systems for mechanical reasons, not because an AI judged them unworthy.
- [How Do AI Systems Choose Which Websites to Cite?](https://reputation.blog/how-do-ai-systems-choose-which-websites-to-cite/): An AI system cites a website because, at the moment it composed a particular answer, that site's page was retrieved for the question, matched what the answer needed, and was usable as support for a specific claim.
- [How Do Embeddings Work?](https://reputation.blog/how-do-embeddings-work/): Embeddings help AI retrieve information by turning text into lists of numbers that capture meaning: a question and a passage that answers it end up with numbers that sit close together, even if they share almost no words.
- [What Is a Vector Database?](https://reputation.blog/what-is-a-vector-database/): A vector database is a database designed to store embeddings—long lists of numbers that represent the meaning-related features of text, images, audio, or other data—and quickly find the stored items whose vectors are closest to a new one.
- [What Is an AI Knowledge Base?](https://reputation.blog/what-is-an-ai-knowledge-base/): An AI knowledge base is a curated collection of documents, records, or web pages that an AI system searches when it needs information to answer a question.
- [How Do AI Systems Use External Information?](https://reputation.blog/how-do-ai-systems-use-external-information/): When an AI system looks something up, the retrieved text is placed directly in front of the model, in the same workspace as your question — and the model then writes its answer conditioned on that text, the way a person writes with source documents open on the desk.
- [How Do AI Systems Evaluate Sources?](https://reputation.blog/how-do-ai-systems-evaluate-sources/): No AI platform publishes a scorecard that grades your website.
- [How Do AI Systems Retrieve Information From Websites?](https://reputation.blog/how-do-ai-systems-retrieve-information-from-websites/): AI systems get information from websites the unglamorous way: automated programs called crawlers visit pages and copy them, the copies are processed into readable text and stored in indexes, and at answer time the relevant text is retrieved and handed to a model.
- [How Does RAG Work?](https://reputation.blog/how-does-rag-work/): RAG — retrieval-augmented generation — works in two halves.
- [What Is Retrieval-Augmented Generation (RAG)?](https://reputation.blog/what-is-retrieval-augmented-generation/): Retrieval-augmented generation — RAG — is a way of building AI systems in which the model does not answer from memory alone.
- [How Do AI Systems Find Information?](https://reputation.blog/how-do-ai-systems-find-information/): An AI system draws on three reservoirs when it answers a question: knowledge absorbed during training, information it retrieves live from external sources at the moment you ask, and context you supply in the conversation itself — a document you upload, a page you paste, a database it is connected to.
- [Why Do AI Systems Sometimes Give Incorrect Answers?](https://reputation.blog/why-do-ai-systems-give-incorrect-answers/): AI systems give incorrect answers because everything they work from can be wrong, incomplete, or mismatched to the question: the data they were trained on, the sources they retrieve, and the question itself.
- [What Is an AI Hallucination?](https://reputation.blog/what-is-an-ai-hallucination/): An AI hallucination is when a language model produces text that sounds fluent and confident but is factually wrong or entirely fabricated.
- [How Do AI Models Learn?](https://reputation.blog/how-do-ai-models-learn/): AI models learn by making predictions, measuring how wrong each prediction is, and adjusting their internal settings — called weights — to be slightly less wrong next time.
- [What Are Large Language Models?](https://reputation.blog/what-are-large-language-models/): A large language model (LLM) is a computer program trained on enormous amounts of text to do one core job: predict what text should come next, and generate it.
- [What Is Machine Learning?](https://reputation.blog/what-is-machine-learning/): Machine learning is a way of building computer systems that learn patterns from examples rather than following rules written out by programmers.
- [What Is Generative AI?](https://reputation.blog/what-is-generative-ai/): Generative AI is a type of artificial intelligence that produces new content — text, images, audio, video, or computer code — instead of just classifying, ranking, or retrieving content that already exists.
- [How Does Artificial Intelligence Work?](https://reputation.blog/how-does-artificial-intelligence-work/): Modern artificial intelligence works in four stages: data is collected, a system is trained on that data by repeatedly adjusting its internal settings to reduce its mistakes, the result is a model, and that model is then used — a stage called inference — to generate predictions and outputs for new inputs it has never seen.
- [What Is Artificial Intelligence?](https://reputation.blog/what-is-artificial-intelligence/): Artificial intelligence is software that performs tasks people associate with human intelligence — understanding language, recognizing patterns, making predictions, and generating new content.
- [How to Measure AI Search Visibility](https://reputation.blog/how-to-measure-ai-search-visibility/): You measure AI search visibility the way you would measure anything produced by a system you cannot inspect: with a fixed set of questions, asked under controlled conditions, repeated often enough that variation in the answers becomes part of the measurement rather than a surprise inside it.
- [How Businesses Build AI Visibility](https://reputation.blog/how-businesses-build-ai-visibility/): Businesses build AI visibility the slow way: by making their own website the clearest, most accurate source of facts about the business, keeping those same facts consistent everywhere else the business appears, earning genuine third-party coverage that corroborates them, and publishing content that AI systems can retrieve, understand, and safely reuse.
- [Understanding Entities and Knowledge Graphs](https://reputation.blog/understanding-entities-and-knowledge-graphs/): An entity is a distinct thing that a system can identify and describe: a person, company, place, product, work, event, or concept.
- [How AI Citations Work](https://reputation.blog/how-ai-citations-work/): Direct answer: An AI citation is a link an AI system attaches to part of a generated answer to show which web page that part was based on.
- [How AI Systems Retrieve Information](https://reputation.blog/how-ai-systems-retrieve-information/): When an AI system answers a question using the web, it does not read the internet live, page by page, the way a person browses.
- [How AI Search Works: A Complete Guide](https://reputation.blog/how-ai-search-works/): AI search is not one system, one index, or one ranking algorithm.

## Pages

- [Content and Topical Authority Development](https://reputation.blog/content-and-topical-authority-development/): A business's own website is the one part of its public record it fully controls, and it is usually the least organized part of it.
- [AI Visibility Services](https://reputation.blog/services/): Reputation.blog helps businesses compete in AI-generated answers.
- [AI Visibility Strategy](https://reputation.blog/ai-visibility-strategy/): Findings are not a plan.
- [Business Entity and Source Verification](https://reputation.blog/entity-source-verification/): Ask ten sources what a business is called, where it is, when it opens, and what it does, and it is common to receive several different answers.
- [AI Reputation Assessment](https://reputation.blog/ai-reputation-assessment/): A business's reputation used to be what its customers said about it.
- [Making Money With AI](https://reputation.blog/making-money-with-ai/): Interest in making money with AI usually starts with a demonstration: someone watches a system produce in minutes work that used to take hours, and the jump to “there must be a business in this” is immediate.
- [AI Poisoning, Manipulation and Information Integrity](https://reputation.blog/ai-poisoning/): AI systems answer questions from information: information they were trained on, information they retrieve, and information supplied to them while they work.
- [Getting Your Business Recommended by ChatGPT](https://reputation.blog/chatgpt-recommendations/): “How do I get ChatGPT to recommend my business?” is the question business owners actually ask about AI visibility — usually right after they have typed their own category into ChatGPT and watched a competitor get named instead.
- [AI Visibility Monitoring](https://reputation.blog/ai-visibility-monitoring/): An AI-generated answer about your business is not a fixed asset.
- [AI Citation Development](https://reputation.blog/ai-citation-development/): Traditional SEO helps businesses compete in search results.
- [AI Visibility Audit](https://reputation.blog/ai-visibility-audit/): When a customer asks ChatGPT, Perplexity, Google AI Overviews, or Gemini about your business, what does the answer say — and what does it rely on?
- [AI Visibility Measurement and Research](https://reputation.blog/ai-visibility-research/): If AI visibility is worth building, it is worth measuring — but measuring it honestly is harder than it looks.
- [Building AI Visibility and Authority](https://reputation.blog/ai-visibility/): When a business asks how it can appear in AI-generated answers, it is really asking a different question: how does it become the kind of source an AI system can find, understand, and trust enough to draw on?
- [Entities, Knowledge Graphs and Semantic SEO](https://reputation.blog/entities-semantic-seo/): Search engines and AI systems do not think in web pages. They think in things: companies, people, products, places, and the relationships between them.
- [Understanding AI Citations](https://reputation.blog/ai-citations/): When an AI system answers a question, it sometimes shows its sources — small links or footnotes pointing to the pages it drew on.
- [How AI Retrieves Information](https://reputation.blog/ai-retrieval/): A large language model on its own can only draw on what it learned during training — and training ends at a cutoff date.
- [How Artificial Intelligence Works](https://reputation.blog/ai-search/): When a person asks a question of ChatGPT, Google AI Overviews, Gemini, or Perplexity, the answer they receive is not copied from a single web page.
- [Knowledge Center](https://reputation.blog/knowledge-center/): The Knowledge Center is Reputation.blog's educational publication about how AI-powered search and answer platforms work.
- [Contact / Corrections](https://reputation.blog/contact/): Use the form below to contact the publisher of Reputation.blog.
- [Terms of Use](https://reputation.blog/terms-of-use/): By using Reputation.blog, you agree to these Terms of Use. If you do not agree, please do not use the site.
- [Privacy Policy](https://reputation.blog/privacy-policy/): This Privacy Policy describes what information Reputation.blog collects through this website and how it is used.
- [Company Profiles](https://reputation.blog/company-profiles/): A Reputation.blog profile is a structured, source-attributed record of a business or brand, designed to be clear to readers and researchers and understandable to AI-powered search and answer platforms.
- [Editorial Standards](https://reputation.blog/editorial-standards/): These standards govern every profile Reputation.blog publishes. They are how a paid service stays credible: the work is paid for, the conclusions are not.
- [Methodology](https://reputation.blog/methodology/): This page explains how Reputation.blog researches, verifies, and publishes a business or brand profile.
- [About](https://reputation.blog/about/): Reputation.blog is a paid service that researches, develops, publishes, and maintains comprehensive business and brand profiles designed to improve the availability, clarity, and citation potential of company information for AI-powered search and answer platforms, including ChatGPT, Google AI Overviews, Gemini, and Perplexity.
- [Home](https://reputation.blog/): Reputation.blog is a paid service that researches, develops, publishes, and maintains comprehensive business and brand profiles designed to improve the availability, clarity, and citation potential of company information for AI-powered search and answer platforms, including ChatGPT, Google AI Overviews, Gemini, and Perplexity.


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