Audit how AI search engines perceive your brand — source tracing, narrative gaps, factual corrections, and a 90-day action plan to control your AI reputation.
Paste what AI says about your brand and get a full reputation analysis with correction strategy.
AI search engines like ChatGPT, Perplexity, and Gemini are forming opinions about your brand every time someone asks about you. Unlike traditional search where you control your listing, AI engines synthesize information from dozens of sources and present a single narrative — one you may not even be aware of.
Your AI search reputation is the story these models tell about your brand. It is shaped by your website content, third-party reviews, Wikipedia entries, social media presence, news coverage, and structured data. If AI engines present inaccurate information, miss your key differentiators, or highlight outdated criticisms, every AI-driven search becomes a missed opportunity or worse — a reputation risk. The AI Search Reputation Checker audits exactly what AI says about you and gives you a structured plan to correct, enhance, and control that narrative.
Start by asking ChatGPT or another AI search engine questions about your brand: 'What is [brand]?', 'Is [brand] trustworthy?', and 'What are alternatives to [brand]?' Paste those responses into the tool along with your brand name and industry.
The tool analyzes AI responses across five dimensions: source tracing (where AI gets its information), narrative gaps (what important facts AI is missing), factual issues (what AI gets wrong), correction strategy (specific content and schema actions to fix problems), and a 90-day action plan with prioritized steps. Each section includes actionable recommendations you can implement immediately to start shaping your AI search reputation.
Use this tool when launching a new brand or product to establish your AI narrative from the start. Run it quarterly to monitor how AI perception shifts over time. It is especially critical after major company changes — rebranding, funding announcements, leadership changes, or product pivots — because AI models may still reference outdated information for months.
The tool is also valuable for competitive analysis. Check how AI describes your competitors to identify positioning opportunities where their AI reputation has gaps you can fill. If you are in a regulated industry like healthcare, finance, or legal, regular AI reputation audits help ensure AI engines are not making claims about your services that could create compliance issues.
AI reputation management requires a different approach than traditional online reputation management. AI models weigh authoritative sources heavily — Wikipedia, established news outlets, industry databases, and well-structured website content carry the most influence. Social media and review sites contribute sentiment signals but rarely drive factual claims.
The most effective strategy combines three pillars: authoritative content creation (publishing detailed, well-structured information about your brand), schema markup (helping AI engines understand your entities and relationships), and third-party presence management (ensuring your profiles on influential platforms are accurate and complete). The correction strategy section of this tool maps specific actions across all three pillars, tailored to your industry and the issues found in your AI responses.
AI search engines synthesize information from their training data, which includes web pages, Wikipedia, news articles, social media, reviews, and structured data. They weight authoritative sources more heavily — a mention on Wikipedia or a major news outlet carries more influence than a blog comment. The model then constructs a narrative based on the most consistent and authoritative signals it finds. Unlike traditional search, you cannot directly control or edit what AI says — you can only influence it by improving the quality and consistency of your source material.
Wikipedia and Wikidata entries are among the most influential because AI models treat them as ground truth for entities. After that, authoritative industry publications, established news outlets, and your own well-structured website content (especially with schema markup) carry significant weight. Review aggregators like G2, Capterra, and Trustpilot influence sentiment signals. Social media contributes but typically has less direct impact on factual claims unless content goes viral or is widely referenced.
Most AI models update their knowledge periodically, not in real-time. Changes to your web presence can take weeks to months to be reflected in AI responses. The fastest path to influence is through sources that AI models check frequently — your website's structured data, major platform profiles, and high-authority content. A comprehensive correction strategy typically shows initial results within 30-60 days, with significant improvements visible within 90 days. This is why the tool provides a structured 90-day action plan.
They are complementary, not competing priorities. Strong traditional SEO creates the authoritative content that AI models rely on for their responses. However, AI reputation requires additional focus on structured data, entity disambiguation, and third-party presence management that traditional SEO often overlooks. If AI is already saying incorrect things about your brand, fixing your AI reputation should be the immediate priority because those errors compound — AI models reference their own previous outputs, making incorrect narratives harder to correct over time.
Wikipedia and Wikidata serve as foundational knowledge sources for most major AI models. If your brand has a Wikipedia page, the information on that page heavily influences what AI says about you. Wikidata provides structured entity data that helps AI models understand relationships between your brand and other entities. If your brand qualifies for a Wikipedia page but does not have one, creating one (following Wikipedia's notability guidelines) is one of the highest-impact actions for AI reputation. The tool evaluates whether this applies to your brand and provides specific recommendations.
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