Q: Why does ChatGPT keep describing my brand with information that's years out of date?

ChatGPT's parametric (offline) mode draws entirely from training data frozen at a cutoff date, currently around August 2025 for GPT-5. Any changes your brand made after that date don't exist in its base model. The fix is ensuring correct facts are embedded across the high-authority sources that will be included in its next training run, while also updating sources that ChatGPT's Browse feature will retrieve in real time.

Q: How do I find out which specific sources AI engines are using to describe my brand?

Ask the AI engine directly with a follow-up prompt: "What sources are you drawing on for that description?" Perplexity and Google AI Overviews surface citations automatically. For ChatGPT and Claude, run queries across multiple prompt phrasings and compare the fact-patterns, inconsistencies reveal which sources are being weighted. Promptive's monitoring platform automates this across all major engines and surfaces the underlying citation sources.

Q: My company page on G2 is outdated but our customers wrote the reviews. Can we change it without losing review credibility?

Yes. The business-owned portion of a G2 profile (company description, product features, pricing range, categories) is fully editable by the vendor and has no effect on user-generated reviews. Log in to G2 Seller, update the vendor-controlled fields, and re-submit. Changes typically propagate within a few days and are indexed by AI engines within weeks.

Q: Does publishing a press release actually change what AI engines say about my brand?

For RAG-based systems like Perplexity and Google AI Overviews, yes, newswire-distributed press releases (PR Newswire, BusinessWire, GlobeNewswire) are indexed within hours and can shift citations within days. For parametric models, the wire release matters less immediately but seeds the training corpus for future runs. The highest-value play is getting an independent editorial outlet to pick up and repeat the corrected fact.

Q: How often should I run a brand accuracy audit across AI engines?

At minimum, monthly. Weekly if your brand is in a category where AI engines are actively used in buying decisions (B2B SaaS, financial services, healthcare, ecommerce). After any material brand change, pricing update, product launch, rebrand, leadership change, funding announcement, run an immediate audit within 48 hours to document the baseline and then track correction velocity. Promptive's free GEO audit tool is a fast way to run an initial snapshot.

Q: Are some AI engines more likely to show accurate brand information than others?

Yes, significantly. RAG-heavy engines (Perplexity, Google AI Overviews) are generally more accurate and fresher because they retrieve live web sources. Pure parametric responses from ChatGPT are more likely to be stale or confidently wrong. Gemini's accuracy varies by whether the query triggers retrieval. Across all engines, accuracy correlates strongly with how much authoritative, structured content about your brand exists on the open web. See our analysis of how AI engines cite brands differently for model-by-model breakdowns.

How to Fix the 5 Reasons AI Engines Cite Outdated Info About Your Brand