Black Tie Marketing Group

GEO · AEO · AI Search Visibility

Make your business easier for AI-powered search systems to understand, cite, and surface

We improve entity clarity, structured information, answer quality, evidence, technical access, and measurement for ChatGPT Search, Google AI experiences, Perplexity, and other emerging answer systems.

Optimization Layers

Five areas we can actually control

No one can force an AI system to recommend a business. The practical job is to improve the information, evidence, accessibility, and authority signals available to those systems.

Entity Clarity

Keep organization, founder, services, locations, contact information, and trusted profile references consistent across the site and the wider web.

Structured & Machine-Readable Information

Use appropriate schema, clean page structure, descriptive metadata, crawlable HTML, and consistent canonical URLs to reduce ambiguity.

Answer-First Content

Answer real customer questions directly, cover the supporting context, and connect related pages so search and AI systems can understand the topic hierarchy.

Evidence & Citations

Support important claims with verifiable sources, named facts, documented case-study data, and clear publication standards rather than decorative statistics.

AI Search Monitoring

Track representative queries, brand mentions, citations, competitor visibility, referral traffic, and changes in discoverability without pretending any model offers guaranteed placement.

How AI-search work connects to SEO

The same business should not have separate, conflicting identities for Google and AI systems. Canonical pages, technical access, internal links, useful answers, local facts, author/entity information, and evidence should reinforce one another.

Evidence standard

We do not use unsupported percentages about AI adoption, zero-click behavior, citation frequency, or fixed time-to-result claims as proof. AI-search observations should identify the system, query, date, source, and what was actually observed.

The goal is durable clarity and authority—not tricks aimed at gaming a specific model.

Frequently asked questions

What is AI search optimization?

AI search optimization improves the clarity, accessibility, authority, and answer quality of information that may be used by AI-powered search and recommendation systems. It overlaps with SEO, entity optimization, structured data, content quality, and digital authority.

What do GEO and AEO mean?

GEO is commonly used for Generative Engine Optimization and AEO for Answer Engine Optimization. The labels vary, but the practical work is similar: make information accurate, accessible, well-structured, useful, attributable, and easy for answer systems to interpret.

Can you guarantee ChatGPT or AI recommendations?

No. AI systems and search engines control their own retrieval and answer-generation processes. We can improve the signals a business controls, monitor representative queries, and measure changes, but we do not guarantee inclusion or recommendation.

Does AI search optimization replace traditional SEO?

No. Technical crawlability, useful content, authority, internal linking, structured data, and clear entities remain important foundations. AI-search work should extend a strong search foundation rather than replace it.

How do you measure AI-search visibility?

Measurement can include representative query testing, cited-source appearances, brand mentions, referral traffic where available, indexation, entity consistency, and whether priority pages answer target questions clearly. Results should be documented by query, date, system, and evidence.

Get Started

See how clearly AI systems can understand your business

Audit entity consistency, crawlability, structured data, answer content, evidence, citations, and representative AI-search queries.

No long-term contracts requiredResponse within 24 hoursTransparent reporting