Eighteen buyer questions, answered in under sixty words each. This AI reputation and AI consulting FAQ does not hedge: when the answer is no, it says no.

How We Answer

Every answer below is self-contained: quote it without context and it stays true. When the honest answer is no, we write no. When the honest answer is weeks-to-months, we name the variables instead of promising a date.

Each answer links to the page that owns the topic — a service among eight disciplines, an explainer in Insights, or an engagement model. Deep dives happen under NDA. We work remote-first from Albuquerque, New Mexico, for clients across the United States. If your question is not here, write to an operator and we will answer it plainly.

Frequently asked questions

Can you change what ChatGPT says about my company?
Not directly — there is no delete button inside a model. What changes AI answers is the evidence the model retrieves: authoritative owned pages, third-party corroboration, structured data, entity clarity. Blankpage audits what ChatGPT, Perplexity, and Google AI Overviews say today, then rebuilds that source layer. See brand reputation in ChatGPT.
How long does it take to fix a negative AI answer about a brand?
Weeks to months, honestly. Answers driven by live retrieval typically shift in six to twelve weeks once stronger sources exist. Claims entrenched in training data or heavily corroborated coverage take a quarter or more. Anyone quoting a fixed date is guessing. Method at AI reputation management services.
How do you suppress or de-position negative search results?
Legitimately: by publishing and promoting higher-authority content that outranks the negative result — de-positioning, not deletion. Blankpage does not break into systems, threaten publishers, or fake reviews, and nobody can guarantee removal of truthful content. Everything runs under an explicit legal and ethical charter. Details at suppress negative search results.
What is generative engine optimization (GEO), and how is it different from SEO?
Generative engine optimization (GEO) is the practice of making your content the source AI engines cite when composing answers. SEO earns a ranked link; GEO earns a citation inside the answer itself. The levers differ: extractable passages and corroboration, not backlinks alone. Full definition: what is generative engine optimization.
How do I get my brand cited by ChatGPT, Perplexity, and Google AI Overviews?
Four levers: self-contained passages that each answer one question completely; third-party corroboration of your key claims; structured data that resolves your entity cleanly; and retrieval plumbing such as llms.txt and open crawler access. That is the working core of answer engine optimization services.
Do I need an llms.txt file?
If AI visibility matters to you, yes — it costs about an hour and gives AI crawlers a curated map of your most citable pages. It is a proposed standard, not a guarantee of citation. Spec, tradeoffs, and a copyable example: what is an llms.txt file.
Can a competitor poison what AI models say about us?
Yes. Data-void seeding, coordinated low-quality content, and retrieval-poisoning attacks can push false claims into AI answers; the attack class is documented in academic literature. The defense is systematic monitoring plus authoritative counter-evidence, not panic. Threat model and countermeasures: LLM poisoning defense.
How do you monitor what AI assistants are saying about a brand or executive?
With scheduled prompt audits: a fixed battery of buyer-realistic questions run against ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews on a set cadence, scored for accuracy and sentiment, with alerts when answers drift. It is a standing component of AI reputation management services.
What is an OSINT investigation, and is it legal?
An OSINT investigation is intelligence work using only publicly available sources — public records, corporate filings, breach corpora, the open web. Conducted that way, it is legal in the United States. Blankpage does not access private systems, impersonate anyone, or buy stolen data. Scope and method: OSINT investigation services.
What does a digital exposure assessment cover?
A digital exposure assessment maps what an adversary can find about a person from open sources: data-broker records, breached credentials, geotagged posts and movement patterns, family and asset references, dark-web mentions. You get a findings report and a prioritized remediation plan. Full scope: digital footprint assessment.
Who owns the AI model you build for us?
You do. Weights, fine-tuning data, prompts, pipelines, and documentation transfer to the client at exit — full IP, no license-back, no lock-in. That is contract language, not a slogan. The build-vs-buy analysis lives at who owns a custom AI model.
Does our data train anyone else's model?
No. Client data stays in private deployments — your cloud tenancy or your hardware — and never trains models for anyone else, including our other clients. That is the default architecture of private LLM development, not a paid add-on.
How is a custom AI asset different from ChatGPT Enterprise or an API wrapper?
Ownership and retrainability. Subscription tools rent you the same capability your competitors rent. A custom model is trained on your data, deployed privately, retrained as your business changes, and owned outright; wrappers break when the API changes. Compare paths with a custom AI development company.
Do we really need 24/7 SOC monitoring, or is periodic pentesting enough?
They answer different questions. Penetration testing is point-in-time: it finds holes on the day of the test. Monitoring is continuous: it catches intrusions that sit in networks for weeks before ransomware detonates. Most organizations need both, at different intensities. Start with cybersecurity services.
What is hyperdata?
Hyperdata is data engineered past storage: real-time, entity-linked, and modeled for prediction, so systems can act on it rather than report on it. Big data measures volume; hyperdata measures readiness for decisions. The canonical definition and examples: what is hyperdata.
What are verifiable credentials and identity tokenization?
Verifiable credentials are cryptographically signed digital attestations — a license, a KYC result — that a holder can prove without exposing the underlying documents. Identity tokenization replaces raw identity data with revocable tokens. Together they reduce fraud and breach liability. See digital identity verification services.
What happens in a two-week Diagnostic Sprint?
Ten working days: code and data access, operator interviews, a systems map, a prototype or test harness where warranted, and a findings memo with a build/no-build recommendation at a fixed price. Every artifact is yours whether or not you continue. Day-by-day breakdown: AI consulting engagement models.
Do you work with regulated and public-sector-grade institutions?
Yes. Blankpage operates government-grade by habit: ISO 27001-class controls, documented chain of custody, NDAs before deep dives, and multi-jurisdiction compliance work spanning GDPR and CCPA/CPRA. We do not name clients, in any sector. Posture by vertical: AI consulting for regulated industries.