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Image courtesy by Knut – YouTube: https://www.youtube.com/watch?v=w7Wsr2WzSVU – View/save archived versions on archive.org and archive.today (8:26), CC BY 3.0, Link The events at TwitchCon 2025 are a case study in public relations failure and real-time reputation damage. At the moment, just searching for “Twtich” show many multiple negative results.  At the crux was an alleged assault on a globally recognized streamer, Emiru. Despite promises of increased security, this seemingly became a breaking point in a pattern of safety failures that have plagued the convention, from the infamous foam pit injuries of 2022 to persistent, unaddressed concerns about alleged creator stalking. This is more than a PR nightmare. It is a huge failure that has inflicted deep and potential lasting damage on Twitch’s most valuable asset: the trust of its creators and massive online community. Emiru and TwitchCon: The Key Players For those outside the streaming world–as many of you might be–it’s important to understand the context. Twitch is an American live-streaming service and a subsidiary of Amazon. It is the largest video game streaming platform in the world, with an average of 31 million daily visitors who watch creators play games, create art, broadcast music, or just chat in in real life (IRL) streams. TwitchCon is the platform’s massive annual convention where thousands of fans and creators gather for panels, “meet-and-greets”, and community events. Emiru, whose real name is Emily-Beth Schunk, is one of the platform’s most popular creators. A 27-year-old streamer, YouTuber, and cosplayer, she is known for her “League of Legends” gameplay and has amassed a following of nearly two million on Twitch alone. As a co-owner of the gaming organization One True King, she is a significant and influential figure in the streaming community. Anatomy of a Crisis: A Pattern of Failed Promises The core of the crisis is essentially a breach of trust. Twitch CEO Dan Clancy had previously emphasized that the company was strengthening safety and security measures in response to previous incidents. Yet, at TwitchCon 2025, the opposite seemingly occurred. During a scheduled meet-and-greet, Emiru was allegedly assaulted when a male attendee bypassed several security barriers, grabbed her, and attempted to kiss her. The incident, captured on video, went viral and sparked immediate outrage. The situation was compounded by reports that Emiru’s own bodyguard was the one who intervened—not TwitchCon’s security. No one from the event reportedly aided her immediately afterward, and the assailant was simply escorted away before being banned. Twitch’s official response—a statement condemning the behavior and banning the individual—was immediately contradicted by Emiru herself, who called their account a “blatant lie” and detailed how event staff failed to react appropriately. This public refutation from a top-tier creator transformed a security failure into a full-blown credibility and trust crisis. Confidential Discussion with CEO Take Control of Your Algorithmic Reputation Stop letting AI define you. Discover your vulnerabilities and learn how our Synergistic Reputation Repair™ service can restore factual accuracy and build digital equity for your brand. Request Your Algorithmic Audit The Flawed Response: Why Traditional PR is Not Enough Twitch’s reaction is a textbook example of a traditional, siloed approach to reputation management. It involves isolated actions—official CEO statements, online posts, a ban—that fail to address the root cause of the problem. This approach is designed for limited, temporary impact. It treats the symptoms (bad press) without curing the disease (a fundamental loss of trust). The public and creator backlash, including calls to shut down TwitchCon entirely or avoid it in the future, is proof of its failure. The Deeper Damage: A Permanent Algorithmic Stain The immediate PR crisis is only the beginning. The real, lasting damage is now being included into AI models such as ChatGPT and Gemini, which have become the new “front page” for every brand’s reputation. When potential advertisers, creators, or parents ask, “Is TwitchCon safe?”, AI models will now generate a negative narrative of alleged assault, security failures, and official statements being called “blatant lies” by the victims themselves. This results in a long-term, algorithmically reinforced erosion of trust that statements and press releases cannot fix alone. A Two-Front Solution for Reputation Repair First and foremost, the issue of security must be seriously and transparently fixed. This cannot be a PR move; it must be a genuine, verifiable overhaul of safety protocols, made in collaboration with creators. Only after real and foundational changes are made can the negative digital narrative be effectively repaired. Once that real-world commitment is underway, a two-front approach is needed, which combines online reputation management with the new discipline of algorithmic or LLM reputation repair. Front 1: Traditional Online Reputation Management (ORM) Solutions The first step is to regain control of links and content appearing in Google’s search results, which is the foundation of the repair process. Content Suppression: A strategic ORM campaign needs to create and promote high-quality, authoritative content that ethically pushes negative articles and videos off the first page of search results. Although this takes months, it’s important to start as soon as possible. Digital Asset Building: This involves creating a robust network of positive and authentic content across websites, professional profiles, and other platforms to rebuild credibility and convey a commitment to change. Front 2: Algorithmic Repair for ChatGPT & Gemini This is where traditional methods fail. You cannot “bury” an AI’s answer. You must correct it at the source in the LLM itself. To solve this, I developed Synergistic Algorithmic Repair™, the first patent-pending framework engineered for this purpose. It is a systematic, synergistic process to repair answers on platforms like ChatGPT and Gemini.   Digital Ecosystem Curation: This process begins by building a verifiable “corpus of canonical data” on the public internet. This includes official statements, new safety protocols, third-party audits, and testimonials from creators who are part of the new solution. This becomes the “ground truth.”   Verifiable Human Feedback: Once established, we interact directly with the AI platforms. Using the AI’s own feedback mechanisms, we systematically flag inaccuracies and reinforce the correct information, citing the canonical

Building a presence on these platforms are crucial to having an AI presence Generative AI platforms like ChatGPT and Google’s Gemini are no longer novelties; they are the new information gatekeepers. When asking a question, unlike Google results, they don’t list links—they provide a single answer synthesized from sources they deem credible.  For businesses, content creators, or individuals concerned with online reputation, this raises a critical question: where exactly are they getting this information? And how can I use this to build an AI presence? Understanding which websites these AI models trust and cite is the first step in a new digital strategy of Generative AI Optimization (GAIO) and GenAI Reputation Management. To be visible in the AI-driven answers, you need to know which sources are shaping deep learning models.  Recover Reputation analyzed multiple large-scale studies and conducted direct research to deconstruct the information ecosystems of the two biggest Large Language Models. Knowing these platforms are crucial to building an AI presence. Here are the definitive lists of the websites that ChatGPT and Gemini rely on the most. The ChatGPT Canon: Authority and Community Rule ChatGPT’s sourcing strategy is built on a core “canon” of trusted domains. It has a clear preference for two types of content: authoritative, encyclopedic knowledge and vast, community-vetted conversations. This is supplemented by established media outlets and specialized review sites for consumer-related questions. Across the board, two giants stand out: Wikipedia for factual information (cited in 7.8% to 15% of cases) and Reddit for real-world experience (cited anywhere from 1.8% to a staggering 29.4% of the time, depending on the query type). This reliance is so significant that it’s clear these two platforms form the foundational pillars of ChatGPT’s knowledge base.   Here is a consolidated ranking of the top 20 domains most frequently cited by ChatGPT, along with their share of citations as found in major studies. Rank Domain Primary Category Share of Citations (%) Source Study 1 reddit.com Conversational UGC 1.8% – 29.4% Ahrefs, Profound 2 wikipedia.org Encyclopedic UGC 7.8% – 15.0% Ahrefs, Profound 3 forbes.com News / Media 1.1% – 6.7% Ahrefs, Profound, Wellows 4 businessinsider.com News / Media 0.8% – 1.3% Ahrefs, Profound 5 techradar.com Tech Review 0.9% – 11.8% Profound, Wellows 6 amazon.com E-commerce ~3.4% Ahrefs 7 nypost.com News / Media 0.7% – 1.0% Ahrefs, Profound 8 g2.com Software Review ~1.1% Profound 9 nerdwallet.com Finance ~0.8% Profound 10 thespruce.com Lifestyle / Home ~1.3% Ahrefs 11 cnet.com Tech Review ~8.8% Wellows 12 pcmag.com Tech Review ~7.0% Wellows 13 wired.com Tech / Media ~1.0% Ahrefs 14 reuters.com News / Media ~0.6% Profound 15 tomsguide.com Tech Review ~4.6% Wellows 16 bhg.com Lifestyle / Home ~1.0% Ahrefs 17 people.com Entertainment / Media ~1.0% Ahrefs 18 techcrunch.com Tech / Media ~4.0% Wellows 19 hbr.org Business / Media ~2.8% Wellows 20 openai.com Corporate / Tech ~2.8% Wellows Gemini’s Playbook: Context is Everything Google’s Gemini operates slightly differently. Instead of relying on a fixed set of top domains, it acts as a “balanced synthesizer,” dynamically choosing its sources based on the specific topic of the query. This makes its citation patterns more diverse and highly specialized.   One of Gemini’s biggest advantages is its deep integration with its own ecosystem, especially YouTube, which accounts for approximately 3% of its citations in some studies. For health queries, it shows a unique preference for government and NGO sources, citing them nearly 25% of the time.   Because Gemini’s sources change dramatically depending on the topic, we’ve broken down the top domains by category. Top 20 Cited Domains for General Queries (Google AI Mode) For broad, everyday questions, Gemini (powering Google’s AI Mode) pulls from a wide range of user-generated content, reference sites, and major online platforms.   en.wikipedia.org (12.0% share)   www.youtube.com (1.8% – 10% share)   blog.google www.reddit.com (2.2% – 14% share)   www.google.com (7.4% share)   www.amazon.com www.quora.com (1.5% share)   www.facebook.com m.yelp.com www.instagram.com www.imdb.com www.tripadvisor.com www.linkedin.com (1.3% share)   www.mapquest.com www.walmart.com www.britannica.com www.healthline.com www.yahoo.com www.ebay.com my.clevelandclinic.org Top Cited Domains for Health & Medicine When it comes to health, Gemini shows a strong preference for official, institutional, and highly authoritative medical sources over general media.   pmc.ncbi.nlm.nih.gov (PubMed Central) (~7.0% share) my.clevelandclinic.org (~3.2% share) www.mayoclinic.org (~3.0% share) www.ncbi.nlm.nih.gov (National Center for Biotechnology Information) (~2.7% share) www.sciencedirect.com (~1.7% share) www.healthline.com www.webmd.com www.medicalnewstoday.com www.verywellhealth.com www.goodrx.com medlineplus.gov www.drugs.com www.cdc.gov (Centers for Disease Control and Prevention) Top Cited Domains for Automotive For car and auto insurance queries, Gemini leans on a mix of specialized review sites, industry authorities, and major media outlets. bankrate.com (6.7% share) thezebra.com (7.2% share) nerdwallet.com edmunds.com kbb.com (Kelley Blue Book) caranddriver.com cars.usnews.com www.cars.com forbes.com en.wikipedia.org reddit.com youtube.com Top 20 Cited Domains for B2B Tech For business-to-business technology questions, Gemini shifts its focus to company blogs, niche industry publications, and professional platforms.   Company Websites/Blogs (~17% share) Niche B2B Publications (e.g., TechTarget) Mainstream News (~10% share) linkedin.com (~2% share) Analyst Reports (e.g., Gartner) forbes.com businessinsider.com pcmag.com cnet.com techradar.com tomsguide.com techcrunch.com hbr.org (Harvard Business Review) zapier.com (Blog) medium.com www.nytimes.com www.cnbc.com play.google.com apps.apple.com www.investopedia.com What Does This Mean for You? These lists reveal a clear roadmap for anyone looking to build authority, visibility and a reputation in the age of AI. The models are designed to prioritize signals of trust and expertise.   Authority is Paramount: High-authority domains like Wikipedia, Forbes, and major health institutions are consistently favored. Building genuine credibility in your niche is more important than ever. User-Generated Content is King: Platforms like Reddit and YouTube are not just social networks; they are massive repositories of human experience that AI models rely on heavily. Authentic participation in these communities is extremely crucial. Content Must Be Contextual: For Gemini, in particular, the best source depends on the topic. Your content strategy must be tailored to your specific industry, whether that means creating in-depth health guides, authoritative financial reviews, or engaging B2B tech videos. As AI continues to evolve, the websites it trusts will shape what the world knows. By understanding these preferences, you can position your content to be a source of truth for both humans and the machines that guide

Firm’s Patent-Pending Synergistic Reputation Repair™ is the First Reputation Management Solution for the New Problem of AI Misinformation. NEW YORK, NY – September 4, 2025 – Recover Reputation, an online reputation management firm, today announced its patent-pending Synergistic Reputation Repair™, a new solution designed specifically to correct inaccurate and damaging answers about businesses and professionals appearing in AI chatbots like OpenAI’s ChatGPT and Google’s Gemini. The launch provides a direct answer to the new and urgent problem of AI-generated misinformation, where incorrect answers from chatbots can damage a company’s brand, mislead customers, and create significant business risks.  Synergistic Reputation Repair™ is the first systematic framework designed to repair AI-generated misinformation at its source. It moves beyond outdated online reputation management and SEO tactics, which are ineffective against the synthesized, authoritative-sounding narratives produced by Large Language Models (LLMs). “AI has become the new front page for everyone—from businesses and professionals to underrepresented groups who are often disproportionately harmed by algorithmic bias. But it frequently gets the facts wrong, and until now, there hasn’t been a clear way to fix it,” said Steven W. Giovinco, founder of Recover Reputation. “Our solution provides the first direct, systematic process for correcting the record. We are committed to ensuring that everyone has the right to a fair and accurate digital representation in the age of AI.” The proprietary, three-part system works synergistically to deliver durable results: Proactive Content Strategy: Creates and promotes a portfolio of accurate, authoritative content across the web. This provides AI models like ChatGPT and Gemini with a reliable foundation of factual information to draw from when generating answers about a person, business or group. Direct AI Correction: Engages directly with AI platforms to correct false and misleading statements. Using AI’s feedback systems, this process systematically flags inaccuracies and reinforces the correct information, making the corrections more effective and durable. Long-Term Reputational Shielding: Develops a structured, high-quality dataset of verified information. This serves as a long-term asset to fortify their reputation and protect against future AI-generated inaccuracies. Recover Reputation is one of the first firms to tackle this emerging threat and the only one with a patent-pending, integrated system designed for the unique challenges of the AI era. Based on documented case studies, comprehensive campaigns are designed to achieve significant and lasting transformations within a six-month timeframe.   About Recover Reputation Recover Reputation is a New York-based online reputation management firm specializing in correcting complex misinformation in AI platforms. Founded by 30-year technology veteran Steven W. Giovinco, the company is the inventor of the patent-pending Synergistic Reputation Repair™ framework, the only solution engineered to combat the new and complex threats of the AI era and promote digital equity.   Media Contact: Steven W. Giovinco Founder, Recover Reputation steve@recoverreputation.com +1 347-559-4952 www.recoverreputation.com ###

The best approach is to create or fix an online reputation is to flood the web with targeted, effective and well formulated content. This eventually suppresses the negative review sites off the first page of Google search results. The four steps are: Analysis: Craft a customized strategy based on thorough research and business analysis. Social Media and Other Platforms: Develop appropriate online platforms, centered around your industry, business and background. Content Creation: Create excellent blogs, articles, videos, images, presentations and audio files, and share. Repeat: Constantly monitor, review, update and tweak–adding new content to the right places all the time. Creativity, flexibility and attention to detail are key.