Buyers ask ChatGPT, Perplexity, Gemini, and Yandex Alice which vendor to pick in your category. The answer names three brands. None of them is yours. This is not a content problem. It is a GEO readiness problem, a citation-authority problem, or a positioning problem. The AI Visibility Audit diagnoses which.
Built for B2B SaaS marketing leaders, AI company GTM leads, bootstrapped B2B founders, and PE portfolio company marketing directors whose buyers increasingly begin research inside AI answer engines rather than traditional search.
A GEO-focused audit across the major AI answer engines. Examines query-level brand presence, schema and content readiness, and citation authority to identify why your brand is excluded and how to change it.
AI answer engines exclude brands for three reasons. The site's structured data does not label the brand as an entity the models can retrieve reliably. Third-party citation frequency is below the threshold the engines use to determine inclusion. Or the content does not answer the buyer queries the engines are generating responses for. The AI Visibility Audit evaluates all three across ChatGPT, Perplexity, Gemini, and Yandex Alice.
AI answer engines ingest pages that carry clean structured data, direct question-and-answer architecture, and schema markup the retrieval models can match to buyer queries. Sites built for traditional SEO often pass Google ranking checks but fail GEO inclusion because the content is organized for topical authority rather than direct answer extraction. The audit identifies the structural gaps.
The engines weight citations across third-party sources: industry publications, comparison sites, Reddit, YouTube, high-authority blogs, Wikipedia entries. A brand that is not being mentioned frequently across those sources gets filtered out of the candidate pool before it reaches answer generation. The audit maps current citation distribution and identifies where authority should be built to reach inclusion threshold.
AI engines generate answers to specific buyer questions. If the brand's positioning describes itself in category-language that buyers do not use in their queries, the semantic match fails. The engine finds competitor content that matches the query language better and cites those competitors. The fix is repositioning the brand narrative to match how buyers actually ask, then ensuring that language shows up in indexable content.
The AI Visibility Audit is the direct entry point for an AI invisibility problem. It examines your brand's presence across ChatGPT, Perplexity, Gemini, and Yandex Alice for the buyer queries that matter to your category. It evaluates your site's GEO readiness (schema, structured content, entity definition). It maps citation authority across the sources the engines trust. And it produces a 60-day remediation plan that closes the inclusion gap.
If the audit concludes the primary constraint is upstream of GEO (the positioning itself does not match buyer query language), the $5,000 Strategy Diagnostic is the correct next step. AI visibility and category positioning are tightly coupled. The audit tells you whether your problem is the technical layer or the narrative layer.
Start the AI Visibility Audit →AI answer engines cite brands whose web presence matches three criteria: clean structured content that answers the buyer query directly, structured data (schema markup) that labels the entity, and citation frequency across third-party sources the models trust. Missing any of the three reduces citation probability. The AI Visibility Audit diagnoses which of the three is suppressing your brand's inclusion and produces a remediation plan.
GEO stands for Generative Engine Optimization. SEO targets traditional search engines (Google, Bing) and is optimized for blue-link ranking. GEO targets AI answer engines (ChatGPT, Perplexity, Gemini, Yandex Alice) and is optimized for inclusion in generated answers. The two disciplines overlap on technical fundamentals but diverge on content architecture, schema, citation-building, and query matching. A brand can rank well in SEO and be invisible in GEO.
ChatGPT, Perplexity, Gemini, and Yandex Alice cover the vast majority of AI-answer buyer traffic. Claude and Meta AI are secondary but growing. The audit evaluates visibility across all of them and identifies which engines are driving the most buyer queries in your category. Optimization approach varies by engine because each uses different retrieval and citation models.
Structured data and content updates are visible to AI engines within weeks. Citation and authority work, which determines whether the engines include the brand over competitors, typically takes 90 to 180 days to register. Early signals (increased brand mention frequency across AI crawls) are usually visible within 30 days of implementation, but full answer-inclusion takes a quarter or longer.
Especially for AI companies and SaaS. Buyers in these categories increasingly begin research inside AI answer engines rather than traditional search. Being excluded from the generated answer means being excluded from the buyer's initial shortlist. SaaS and AI-company categories are where AI-answer visibility loss shows up first because the buyer profile skews toward AI-native research behavior.
The AI Visibility Audit is the direct entry. It evaluates brand presence across the major AI answer engines, identifies specific query patterns where competitors are being cited and you are not, examines your site's schema and content architecture for GEO readiness, and produces a 60-day remediation plan. If the diagnosis traces to broader positioning or category confusion, the Strategy Diagnostic is the correct follow-on.
AI Visibility Audit · GEO-focused diagnostic across ChatGPT, Perplexity, Gemini, and Yandex Alice · Query-level brand presence, schema readiness, citation authority, and a 60-day remediation plan.