The operating system behind a sellable AI visibility service line.

VectorGap gives agencies the connected feature set needed to audit how AI systems describe a client, explain why competitors win recommendations, convert the evidence into missions, and deliver white-label reports without building a senior AI/GEO team first.

Get audit + 5 client credits Compare agency plans

Use the 5-credit pre-sales kit flexibly, or spend the full pack on one complete Presence, Perception, Preference, and AI Readiness workflow once the best agency/client target is clear.
Turn Perception, Preference, source gaps, and competitor evidence into a white-label action plan.
Create missions your team can assign, ship, retest, and report back to the client.
Use market, language, persona, industry, and competitor targeting so the evidence matches the client’s real buying context.
Connect advanced agency workflows through MCP and API automation when the team is ready.

pre-sales credits

provider panel

250

Agency OS credits

0-100

executive index

Agency offer

Audit → action plan

The feature set starts with your own agency website audit and ends with a white-label plan the agency can use in a sales, renewal, or remediation conversation.

Governance loop

Mission → retest → report

Every gap can become assigned work, every fix can be retested against the same target, and every movement can be reported without disconnected screenshots.

Automation path

Platform → MCP/API

AI-native agencies can trigger audits, retrieve evidence, and connect missions into internal workflows without making automation the entry-level buyer promise.

Show what AI systems say before the client discovers it first.

These modules collect the answer-layer evidence an agency needs to explain visibility, preference, hallucination risk, and competitor pressure.

Brand Knowledge

Stores verified client facts, entities, competitors, products, markets, proof, and positioning so audits can check model answers against known truth.

Open page

Perception Audit

Audits how ChatGPT, Claude, Gemini, Perplexity, Grok, Mistral, and DeepSeek describe, cite, compare, and sometimes misstate the client.

Open page

Preference Audit

Shows where major models choose the client or a named competitor across targeted decision categories, then surfaces the reasons behind the preference gap.

Open page

Generative Brand Index

Gives executives one executive 0-100 score for the configured target using available perception, preference, web, GEO, readiness, coverage, and confidence evidence, then connects the score to remediation, retests, and reports.

Explain why the answer layer is weak enough to lose revenue.

VectorGap links AI answers back to public proof, source quality, page structure, and retrieval readiness so agencies can scope work instead of arguing over scores.

Presence Audit

Tests whether AI systems surface the client for Bottom of Funnel buyer problems when the brand is not named in the prompt.

Open page

AI Readiness

Checks extractability, schema, entity clarity, source blocks, answerable page structure, crawl signals, and citation readiness for the pages models may reuse.

Open page

AI Readiness

Reviews whether a specific page gives AI systems clear facts, structure, context, and answerable sections before deeper external proof work begins.

Open page

Query Explorer

Lets the agency inspect prompt rows, provider answers, scores, source context, and status behind report claims before presenting them to the client.

Open page

Turn the finding into work your agency can sell, assign, and prove.

The platform does not stop at diagnosis. It turns evidence into missions, retests, white-label reports, and automated workflows for recurring brand governance.

Mission Control

Turns hallucinations, missing proof, source weaknesses, competitor pressure, and extractability blockers into trackable client work with retest expectations.

Open page

Remediation Center

Prioritizes entity, source, content, schema, page, proof, and citation work by urgency, leverage, action speed, and retest value.

Open page

White-label reports and exports

Moves evidence into client-ready reports, PDF-backed deliverables, CSV/Markdown exports, and action plans the agency can present under its own offer.

Open page

MCP and API automation

Connects audits, evidence, missions, and reporting into advanced agency operations for teams building AI-native delivery workflows.

Open page

Which evidence does AI need before it can reuse the page?

This table turns the page into a structured extraction target: the buyer question, the evidence an AI system can read, and the action an agency can sell or execute next.

Buyer question	What AI can extract	Agency action
Which feature proves the agency can sell an AI visibility service?	Presence, Perception, Preference, AI Readiness, and Query Explorer expose how providers answer, which competitors win, which sources are reused, and where public proof is weak.	Run the 5-credit audit on your own agency website first and use the evidence to start the sales, renewal, or remediation conversation.
Which feature turns the evidence into client work?	Mission Control and Remediation Center connect answer gaps to source, entity, content, schema, citation, and proof tasks with target surfaces and retest expectations.	Package the highest-leverage gaps into a sprint or governance retainer instead of handing the client a static diagnostic.
Which feature helps the agency scale beyond one audit?	White-label reports, exports, same-target retests, Brand Knowledge, market/language/persona targeting, MCP, and API automation keep the work repeatable across a client portfolio.	Move from one pre-sales audit into Consultant, Agency OS, or Enterprise Governance depending on credits, reporting needs, and automation depth.

Questions agencies ask before turning AI visibility into client work

Which VectorGap feature should an agency use first?

Start with the 5-credit Presence, Perception, Preference, and AI Readiness workflow on your own agency website. It gives the agency provider evidence, competitor context, source gaps, and a white-label action plan before deciding how much portfolio capacity it needs.

How do features become client work?

Audit evidence becomes missions. Missions become assigned source, entity, content, schema, page, proof, or citation work. Retests then show whether the same target improved enough to report.

Can agencies report across markets, languages, personas, and competitors?

Yes. VectorGap keeps market, language, persona, provider, prompt, source, and competitor context attached so the agency can compare and report the client scenario that matters.