See how VectorGap turns AI visibility gaps into agency work.

The proof layer shows agency buyers what they can sell and deliver: AI memory vs market-proof gaps, Presence failures, Perception errors, competitor Preference losses, AI Readiness blockers, remediation missions, retests, and client-ready reporting.

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Perception shows what AI answers currently say: how systems describe, trust, price, and recommend the brand.
Preference shows which brand AI chooses when the client is compared with named competitors, and which proof gap made the choice easier.
The Generative Brand Index summarizes Presence, Perception, Preference, AI Readiness, missing evidence, and confidence in one executive 0-100 view.
Presence and AI Readiness explain whether the brand appears for buyer problems and whether current market proof can be retrieved, cited, and defended; missions, retests, and exports turn the gap into agency work.

standard providers

LLM prompts

Preference prompts

0-100

Generative Brand Index

Workflow proof

Prompt → answer → source → mission

Every example connects a visible AI answer gap to a fix the agency can execute through prompt evidence → competitor preference → mission queue → retest proof → client-ready report.

Index layer

Evidence → Generative Brand Index

VectorGap rolls per-audit AI Memory/Web Evidence gaps across Presence, Perception, Preference, plus AI Readiness, coverage, and confidence so executives get one clear score without hiding the proof chain.

Retest proof

Same target, repeated

The retest layer reruns the same context so progress is easier to defend in reports.

The evidence an agency needs before adding AI visibility to its service line

A score does not create a client deliverable. Agencies need exportable evidence that links AI answers to source quality, competitor preference, scoped fixes, and the next retest.

Provider answer evidence

Inspect the answer, provider, category, rank, sentiment, citation/source quality, and whether the answer is supported by public facts.

Competitor gap evidence

See when AI chooses a competitor because that competitor has clearer public proof, stronger sources, or better entity consistency.

Mission evidence

Every important gap can become a remediation mission with target surfaces, expected metric movement, and retest criteria.

Public consumer-brand scenarios reveal the workflow beyond tech categories

Outdoor, beauty, and travel examples expose the same hidden mechanism agencies need to see for their own markets: direct wins, provider consistency, unsupported claims, and GEO gaps become remediation work when the audit keeps the evidence chain intact. Evaluation proof lives across public audit examples, methodology, trust layer, security page, company facts, and sample report.

Benchmark pattern: travel category audit

The public sample shows positive Perception, weaker Preference, and competitive pressure from luxury authority, comparison momentum, and durability familiarity.

Benchmark pattern: beauty category audit

The public sample shows positive premium perception with preference risk when competitors are framed around clinical proof, ingredient familiarity, or price accessibility.

Benchmark pattern: outdoor category audit

The public sample shows strong visibility with remaining gaps around category-specific claims, value proof, and entity consistency.

Pages that make evaluation easier

The public proof layer is designed for agency buyers who need to convince their team, client, or founder that AI visibility work can be packaged and reported. Generative Brand Index, Mission Control, sample report, pricing proof, and Agency OS are connected as one buyer proof path.

Sample report

A public audit deliverable format agencies can adapt for client reporting and renewal discussions.

Open page

Pricing proof before payment

Show the report format, Generative Brand Index, Preference evidence, Mission Control actions, and retest plan before the agency commits to checkout.

Open page

Agency OS purchase path

Move from proof review to the agency operating capacity for portfolio audits, remediation missions, retests, exports, and client-ready reports.

Open page

Methodology

Provider panel, prompt design, scoring logic, hallucination checks, GEO checks, and retest rules.

Open page

Trust and data handling

How VectorGap frames provider variability, reproducibility, exports, workspaces, and API/MCP usage.

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
What proof can an agency show before selling AI visibility work?	Public audit examples, provider answer evidence, competitor preference gaps, remediation missions, methodology, and retest logic are linked as one evaluation trail.	Use the proof hub to explain the audit-to-fix-to-retest workflow before asking a client to approve a diagnostic or retainer.
How does proof become a client deliverable?	Prompt evidence, source quality, competitor context, mission scope, and report links are presented as reusable buyer evidence rather than isolated marketing claims.	Package a baseline report, a fix sprint, and a repeat retest cadence using the same evidence chain.
Which page should a buyer inspect next?	The proof hub routes evaluators to the sample report, methodology, trust layer, and operational pages without exposing private workspace details.	Send the buyer to the page that matches their objection: sample report for output, methodology for rigor, trust for data handling, or missions for delivery.

Questions agencies ask before turning AI visibility into client work

What counts as proof inside VectorGap?

Proof means inspectable evidence: provider answer excerpts, prompt category, source quality, competitor context, remediation mission, retest target, and client-ready report output. It does not mean publishing private workspace data.

Can agencies use the proof hub in sales?

Yes. The page is designed to explain the workflow and link to sample reports, methodology, trust, and operational pages so an agency can sell a diagnostic or retainer without overclaiming.