AI RETRIEVAL OBSERVABILITY · TRACE INTEGRITY · VERIFIED REMEDIATIONFor business owners, marketing leaders, and digital teams

Can AI systems find, understand, and use your business?

Most AI visibility tools show the final mention. Agent View shows what happened before it—and what you can actually improve.

Scan Your Website Request a Human Review

SYSTEM DEMO · AGENT VIEWHLS · 16:9

From visibility to evidence

Your business can be visible and still lose the source selection.

Agent View checks whether your content is reachable, whether it survives retrieval, whether it supports the claims buyers care about, and where competing sources win instead.

01ReturnedObserved

02Selected & OpenedObserved

03Actually ReadVerified

04Used or RejectedExplained

05Cited in AnswerTraced

A citation tells you the outcome. It does not tell you why your business entered—or disappeared from—the chain.

Agent View turns that blind spot into a set of understandable reports, human-reviewed priorities, and before-and-after evidence.

Our positioning

Not Another AI SEO Dashboard

AI visibility tools answer

“Was my brand mentioned or cited?”

Agent View answers

“What was returned, what was opened, what was actually read, what was rejected, what was used, and where did the chain fail?”

Category Matrix

A Different Category

Dimension	AI Visibility / Agent SEO	Agent View
Primary question	Was the brand mentioned or cited?	How did the source move through the retrieval chain?
Position in funnel	Final outcome	Returned → selected → fetched → validated → used → cited
Main output	Visibility score, mentions, citation count	Evidence ledger, technical findings, model variance, integrity verdict
Evidence	Observed answer or citation	Search candidates, fetch records, validation decisions, rejected sources
Technical delivery	Usually outside the product	Access, extraction, rendering, structure, freshness, and safety
Reasoning claim	May infer why a source won	Does not claim access to hidden reasoning
Verification	Dashboard observation	Programmatic integrity checks over an append-only trace
Next action	Optimize content visibility	Diagnose, validate, correct, and re-test
Promise	Improve or monitor visibility	Make retrieval behavior inspectable — never guarantee citations

What Agent View Does Not Claim

No Hidden Reasoning Access

Agent View inspects what AI models receive and return. It does not claim access to internal model reasoning, attention weights, or chain-of-thought processes.

No Guaranteed Citations

Agent View makes retrieval behavior inspectable. It never guarantees that a model will cite a source, only that the source was delivered and extractable.

No Forced Remediation

Reports inform and surface issues. They do not auto-fix websites or force changes. Remediation decisions remain with the site owner.

Architecture

The Retrieval Evidence Stack

Layer 1 — Delivery Audit (MVP)

What the website makes technically available

A deterministic audit measuring access, extractability, render independence, structure, freshness, and safety — before any model is asked to judge the content.

Layer 2 — Controlled Retrieval Trace (V1)

Multi-agent simulation of source selection

A controlled multi-agent simulation recording returned, selected, fetched, validated, rejected, used, and cited sources. Measures model variance and the snippet-to-content gap.

Layer 1 — What the Website Delivers

01. Access

Reachability

Can automated systems reach the important content?

02. Extractability

Clean Content

Can main info be separated from markup, nav, and noise?

03. Rendering

Render Independence

Does content exist in initial HTTP response or only after JS?

04. Structure

Freshness & Schema

Can info be identified, attributed, and checked for change?

05. Safety

Surface Protection

Does the machine surface expose anything it should not?

llms.txt Consumption Check

Format validation is not enough. Does it deliver?

When a site publishes llms.txt, Agent View follows declared links checking dead links, HTML vs clean text, content overhead, missing pages, and drift.

Independent by Design

100/100 readiness reachable without index-ai

Agent View does not include index-ai in its score. The correct fix may be SSR, prerendering, structured data, or no change at all.

Empirical Benchmark Audit · 50,665 Links Audited

Discovery is Not Delivery

Autopsy V4 Benchmark: A declared URL is not proof of AI readability.

72%Fail to deliver direct text (HTML bloat)

53xHigher "Token Tax" than necessary

62%Sites are "Pointers", not "Mirrors"

index-aiVerifiable delivery standard

Simple process

From Question to Business Decision

You provide the surface and business questions. Agent View turns it into evidence, human review, and action.

Stage 01

Spot weak access & delivery

Agents audit your public pages continuously, isolating delivery leaks before buyers ask AI assistants about your brand.

How has our repeat content access score trended over the past week?
Extractability conversion dropped 14% on client-rendered JS routes — here is the breakdown.

HTTP Fetch

83%

Robots Parse

60%

Extractable

33%

AI Cited

1.9%

Stage 02

Build verification playbooks

Configure reusable playbooks with automated triggers, steps, and guardrails across your entire content catalog.

Build Brief & Experiment Design

Active

Set up goals, guardrails, success metrics

Verified

Draft llms.txt & pull from CMS

Ready

Stage 03

Automate recurring work

Autonomous agents execute 24/7 audits, adjusting live endpoints and refreshing structured feeds automatically.

ENTRY SOURCE → DATAWAREHOUSESyncing 50,000+ public index routes

REFRESH LLMS.TXT & SSR ENDPOINTSAuto-regenerating markdown structured feeds

Stage 04

Automate manual approvals

Agents route each decision to Slack or Teams, allowing your team to review, approve, or request changes in seconds.

Auxia Agent 9:12 AMApproval Needed

Approval needed — Repeat Purchase Content Refresh is ready.
Recommended: Low risk for initial distribution to GPT-4o & Claude 3.5.

Stage 05

Deliver 1:1 optimization at scale

Ranks content and timing for each AI crawler in real-time, serving clean context for every buyer query.

ChatGPT / GPT-4oSSR Stream✓ Cited & Used

Claude 3.5llms.txt✓ Cited & Used

Perplexity AISearch Stream⚡ Remediated

Choose the evidence you need

More Than One Type of Report

Start free. Add human or multi-model evidence when the decision requires it.

Website Readiness ReportFree starting point

Can automated systems access and extract your key page?

A deterministic scan of one public URL, designed to identify delivery risks before any AI model is asked to judge the content.

llms.txt Delivery ReportFor llms.txt adopters

Does your llms.txt file deliver what it promises?

We follow declared links checking dead links, HTML vs clean text, content overhead, missing pages, and drift.

Retrieval Evidence ReportControlled multi-model trace

When buyers ask real questions, does your business enter the source chain?

Controlled multi-model run recording returned, opened, used, rejected, and cited sources for your buyers' exact questions.

Human Readiness Review (€490)Decision support

Which findings matter to the business—and what should be fixed first?

A human review validates evidence, removes false positives, focuses on priority pages, and outputs a prioritized action plan.