Vector Index AI

Vector Index AI provides answer engine optimization and generative engine optimization audits for service businesses and specialty retailers that need to know how AI assistants describe them. The core offering is a written AI Shortlist Blueprint priced at $750, built from sampled answers across ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews. It addresses a specific problem: a company name search can make a business look visible, while questions about the service a buyer needs may return competitors, inaccurate profiles, or no mention at all. A free AI Answer Snapshot also checks whether site access or crawler settings stop AI systems from reading a site and requires no email.

What Makes Vector Index AI Stand Out

• Sampled answers across five engines: The Blueprint selects 25 buyer questions, asks each four times across four model APIs and Google searches, and records missing AI Overviews and failed attempts alongside returned answers.
• Evidence-linked priorities: Written findings connect recommendations to reviewed homepage and public pages and to the sources cited in sampled answers, with a Source Map and Competitor Playbook.
• Action-ready deliverables: The top three priorities include ready-to-paste wording or change specifications and a 30-day roadmap that a business or its web provider can act on.
• Support and recheck: Buyers can ask up to 10 questions about the report within 14 days, use an optional 20-minute walkthrough, and receive a 90-day Proof Recheck of five original questions.
• Low-cost entry point: The $149 AI Answer Check samples six questions once across five engines and identifies one highest-value change; its fee counts toward the Blueprint when purchased within 30 days.

Who Should Use Vector Index AI

• Service businesses in considered purchases: Home services, cosmetic surgery, dental implants, fertility and IVF, funeral services, and flight schools can see whether AI answers name their business, describe it accurately, and cite useful sources before buyers make contact.
• Specialty online retailers and showrooms: The retail Blueprint checks whether AI recommends buying from their store, which sellers appear instead, and what to change first for a product category and up to five products.
• Agencies and web providers: Teams can use the findings, wording, and specifications as a defined brief for client work, while implementation remains a separate decision.

Frequently Asked Questions

What is Vector Index AI?

Vector Index AI is an AI search intelligence service that audits how large language models and AI search features answer buyer questions. It delivers written reports with recorded findings, cited sources, three priorities, and a plan for improving or testing a business's visibility in AI-generated answers.

How does the audit measure AI search visibility?

The Blueprint uses 500 planned attempts: 400 requests across four model APIs and 100 Google searches. It records returned answers, missing AI Overviews, and failed attempts under recorded conditions. The sample does not reproduce each customer's consumer app session or measure how many customers ask those questions.

What are the limitations of Vector Index AI?

The audit identifies changes worth making or testing, but it does not guarantee future recommendations, rankings, inquiries, or revenue. AI answers vary, and the sample is not a full market study. Implementation is separate, with an optional AI Answer Sprint quoted at $3,500 upfront, and the written Blueprint itself is a one-time $750 purchase with no subscription.