Yes. AI engines may invent details or misinterpret context, which can mislead users and create negative perception. Managing AI training signals reduces such risks.

We test your brand across ChatGPT, Gemini, Copilot, Perplexity, and Bing AI, analysing consistency, sentiment, data accuracy, citation patterns, and model behaviour.

Yes. Our strategy is future-proof and adapts to evolving AI platforms, LLM upgrades, and model refresh cycles.

Structured data (schema markup, entities, metadata) helps AI models understand your brand identity, relationships, and authority — reducing misinformation risks.

Yes — knowledge graph strengthening is core to LLM brand representation, influencing both generative search engines and traditional SERPs.

Each model varies: some use live browsing; others rely on periodic updates. Our monitoring aligns strategy with each model’s refresh cycle.

Yes. We deploy rapid AI ORM reinforcement, misinformation correction, and real-time monitoring to stabilize AI-generated summaries.

Continuous monitoring, structured data updates, authority strengthening, and strategic publishing maintain stable and positive AI reputation.

Yes. We support multilingual AI perception management across globally deployed LLMs.

Absolutely. AI-generated summaries often act as the “first touchpoint,” making accuracy critical for trust, leads, and brand safety.

Yes — agencies can leverage AiPlex’s AI perception monitoring, reporting, and optimization under their brand.

We use a mix of content creation, SEO optimization, ethical suppression, and removal requests (when applicable) to neutralize negative content and improve positive visibility.

If the data violates privacy or platform policies, we file takedown requests. Otherwise, we work on suppression and alternative visibility strategies.

Defamatory posts, impersonation profiles, fake allegations, policy-violating content, copyright breaches, and abusive material can be removed depending on platform rules.

Yes — we support individuals facing trolling, fake allegations, cyberbullying, and reputation attacks by mitigating harmful content.