Direct answers
AI visibility questions, answered
Short, fact-constrained answers about answer engine optimization, visibility measurement, content, and the 30-day sprint.
Answer engine optimization FAQ
What is AEO?
AEO, or answer engine optimization, is the practice of improving how a business is understood, cited, and recommended in AI-generated answers.
What is GEO?
GEO usually means generative engine optimization. In practice, GEO and AEO overlap heavily: both focus on visibility and accurate representation inside generated answers rather than only traditional search-result rankings.
Which AI answer engines can be monitored?
A monitoring set may include ChatGPT, Perplexity, Google AI experiences, Gemini, Microsoft Copilot, or other available models. The exact cohort is confirmed at baseline and kept consistent for comparison.
How many prompts should a small business track?
A useful paid engagement can start with 6–12 focused prompts. A prospect micro-report may use only one to three prompts, while a mature program can expand after the initial cohort produces clear learning.
How quickly can AEO content make a difference?
Timing varies. In two early internal hospitality tests, targeted prompt visibility doubled for one buyer question and quadrupled for another within four to five days. A 30-day sprint creates a more responsible initial observation window.
Can AEO guarantee ChatGPT rankings?
No. Generated answers vary and no outside provider controls them. Any guarantee of permanent placement should be treated skeptically.
Does schema markup improve AI visibility?
Structured data can make facts easier for machines to parse, but schema alone is not an AEO strategy. The underlying page still needs a direct answer, approved facts, useful context, internal support, and credible public evidence.
What content is usually built for AEO?
Common interventions include direct-answer service pages, local category pages, comparison pages, proof and case-study pages, FAQs, entity pages, and revisions that make existing claims more explicit and supportable.
Do reviews and third-party sources matter?
They can. AI answers may rely on directories, editorial pages, reviews, industry sources, and other third-party evidence. The engagement separates owned-site work from external source opportunities.
How is AEO success measured?
The primary measure is prompt-cohort visibility change using the same prompts and selected models before and after an intervention. Inquiry and referral signals can support the story, but they are not presented as proven causation.
Who is a good fit for the sprint?
The best fit is an owner-led or small marketing team whose customers use recommendation-style searches, whose category or geography is narrow enough to test, and whose website can be changed.
How much does the AI Visibility Sprint cost?
Scope and price are confirmed after the visibility review because website access, category complexity, number of locations, and publishing responsibility affect delivery. The engagement is fixed-scope rather than an open-ended initial retainer.
Have a business-specific question?
Bring one prompt and one website. We’ll decide whether the opportunity is measurable.
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