One desktop where Claude Code, Codex, Gemini CLI, and your assistants actually cowork — writing code, making slides, crunching numbers, running 24/7. · One desktop. Your AI agents, actually coworking… writing code… making slides… teaming up… sorting files… crunchi
Two layers flagged orange: citation density and off-site authority.
Citation Density0/20
FLAGGED
AI Visibility Score7/20
FLAGGED
Content Structure3/20
PARTIAL
Crawler Access2/15
OK
Schema Markup0/15
FLAGGED
Entity Clarity0/10
FLAGGED
llms.txt1/10
OK
Agent Readiness1/10
PARTIAL
Definition Authority0/8
FLAGGED
Answer Extractability0/8
FLAGGED
Entity Disambiguation0/6
FLAGGED
Quote & Statistic Density0/6
OK
Comparison Coverage0/6
FLAGGED
Internal Link Graph0/6
FLAGGED
Delegate-Economy Readiness0/6
FLAGGED
FAQ Coverage0/6
PARTIAL
CSP Depth0/5
FLAGGED
AI Discovery Endpoints0/5
FLAGGED
SSR vs CSR0/5
OK
Freshness0/5
OK
RAG Chunk Readiness0/5
PARTIAL
Off-site Authority (proxy)0/5
FLAGGED
Factual-Claim Accuracy0/4
OK
AI Crawler Access0/4
OK
Broken Links0/4
OK
Hreflang & i18n0/4
OK
Internal Link Graph0/4
PARTIAL
Internal Linking Similarity0/4
OK
Patent & News Mentions0/4
FLAGGED
Citability0/4
PARTIAL
Audience & Reviews Schema0/4
FLAGGED
Image Alt Text0/4
PARTIAL
Cross-Page Coherence0/4
OK
WebMCP Readiness0/3
FLAGGED
Brand Mention Profile0/3
OK
Business Classification0/0
OK
Web Verification0/0
OK
Prompt Injection0/0
OK
Content Gap Opportunities0/0
FLAGGED
Platform Profiles0/0
PARTIAL
Trust Stack0/0
FLAGGED
Negative Signals0/0
OK
Template Coverage0/0
FLAGGED
Content Decay0/0
OK
AGENT OUTPUT · DETERMINISTIC PREVIEW
Here's what the agents would build for you.
1 fix ready to ship the moment you activate. No LLM call needed — these are deterministic drafts from your scan signals.
Schema · Organization
INSERT
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "AionUi",
"url": "https://aionui.com",
"description": "One desktop. Your AI agents, actually coworking… writing code… making slides… teaming up… sorting files… crunchi"
}
RATIONALE
Generated baseline Organization JSON-LD from brand profile. Adds name + url + description + sameAs (when citationSources are populated). Should be added to the homepage `<head>` as a `<script type='application/ld+json'>` block.
AI engines weight five trust layers when deciding whether to cite you. Lift the weakest layer first; the composite score and grade move fastest there.
D
48/100
OVERALL TRUST
FIX FIRST
Authority · 10Identity · 27Safety · 40
Technical
73/100
Crawl access, schema, llms.txt, SSR, CSP
WEAKEST:schema20/100
Identity
27/100
Entity clarity, manifests, structured contact
WEAKEST:entity0/100
Authority
10/100
Citations, off-site mentions, backlink profile
WEAKEST:citations0/100
Safety
40/100
No prompt-injection, no broken links, no hostile patterns
WEAKEST:negative signals10/100
Consistency
88/100
Structure, freshness, answer-extractability
All contributors above 50.
CITATION TRENDS · LONG VIEW
Trends start with the second scan.
Citation-crawl observations weren't recorded on this scan (likely missing PERPLEXITY_API_KEY / GOOGLE_AI_API_KEY). Once citation-crawl runs you'll see per-platform rate sparklines here on every re-scan.
Top findings · 64 total
Ordered by money on the table.
Each finding maps to a specific agent and a fix path.
#
SEV
CODE
FINDING
LEAK / MO
EFFORT
ACTION
01
LOW
template_coverage
Template coverage is limited in homepage-only scans
−$95
—
02
MED
content_gaps
2 high-impact content gaps detected
−$200
—
03
LOW
content_gaps
4 entity page gaps detected
−$160
—
04
HIGH
structure
No definition-lead opener in the first 150 tokens
−$325
—
05
HIGH
citations
External links exist but none hit the authoritative allowlist
−$413
—
06
HIGH
schema
No valid Organization JSON-LD
−$400
—
07
MED
schema
Weak JSON-LD for homepage page family
−$275
—
08
LOW
llmstxt
No /llms-full.txt variant published
−$160
—
09
MED
entity
No clear self-identification in the opening paragraph
−$200
—
10
LOW
entity
No named author or byline visible
−$160
—
11
MED
entity
No /about or /team page with credentials
−$200
—
12
LOW
entity
Organization JSON-LD missing founder
−$160
—
13
HIGH
agent_readiness
No API or OpenAPI entrypoint detected
−$500
—
14
LOW
agent_readiness
No WebMCP access signal detected
−$320
—
15
LOW
agent_readiness
No Portal visit layer detected
−$320
—
16
LOW
agent_readiness
No x402 payment support detected
−$320
—
17
LOW
content_decay
Volatile content lacks update signals
−$225
—
18
MED
ai-discovery
No /.well-known/ai.txt published
−$125
—
19
MED
ai-discovery
No /ai/summary.json published
−$125
—
20
LOW
ai-discovery
No /ai/faq.json published
−$95
—
21
LOW
ai-discovery
No /ai/service.json published
−$95
—
22
LOW
ai-discovery
No /.well-known/agent.json manifest
−$95
—
23
LOW
hreflang
Hreflang reciprocity not auto-verified — confirm each variant points back
−$95
—
24
MED
quote-stat-density
Statistical-claim density below Princeton GEO bar
−$125
—
25
HIGH
csp-audit
Add a Content-Security-Policy to enable directive-level audit
−$163
—
26
HIGH
answer-extractability
No definition / TL;DR / direct-answer pattern at the top of any sampled page
−$163
—
27
HIGH
answer-extractability
Only 1 bolds per 800 words — key facts blend in
−$163
—
28
HIGH
answer-extractability
Only 0 list items per page — content lacks scannable structure
−$163
—
29
HIGH
answer-extractability
1 paragraph exceed 400 words without breaks
−$163
—
30
HIGH
definition-authority
No glossary page or DefinedTerm schema found
−$200
—
31
HIGH
definition-authority
No inline definition patterns found in content
−$200
—
32
LOW
definition-authority
Improvement: Wrap term/definition pairs in <dl><dt>term</dt><dd>def</dd></dl> markup
−$95
—
33
HIGH
comparison-coverage
No dedicated /vs/ or /comparison/ URL
−$200
—
34
HIGH
comparison-coverage
No 'X vs Y' heading patterns found
−$200
—
35
HIGH
comparison-coverage
No pros/cons or advantages/disadvantages sections
−$200
—
36
HIGH
comparison-coverage
No feature comparison tables found
−$200
—
37
LOW
comparison-coverage
Improvement: Add ItemList JSON-LD schema to comparison pages
−$95
—
38
HIGH
internal-link-graph
Not enough data to build a link graph (single page sampled)
−$200
—
39
LOW
patent-news-mentions
Patent + news APIs unreachable — could not measure citation footprint
−$95
—
40
HIGH
delegate_economy
No agent-actionable schema (PotentialAction / BuyAction / BookAction)
−$2,500
—
41
MED
delegate_economy
No PostalAddress structured data
−$125
—
42
MED
delegate_economy
No ContactPoint structured data
−$550
—
43
LOW
delegate_economy
No OpeningHoursSpecification
−$95
—
44
LOW
delegate_economy
No paymentAccepted / acceptedPaymentMethod
−$95
—
45
MED
rag_chunk_readiness
Only 27% of paragraphs in ideal RAG-chunk range (30-120 words)
−$125
—
46
MED
citability
Only 1/9 sections in 134-167 word citable range
−$125
—
47
MED
citability
Only 11% of sections have source-attribution hooks
−$125
—
48
MED
audience_reviews
No `audience` schema on the homepage
−$125
—
49
HIGH
audience_reviews
No Review / AggregateRating structured data
−$163
—
50
LOW
audience_reviews
No serviceType or suitableForBusinessFunction declared
−$95
—
51
LOW
webmcp_readiness
No WebMCP manifest detected
−$95
—
52
LOW
image_alt_text
47 images have alt text under 3 words
−$95
—
53
MED
faq-coverage
No /faq, /help, or /support route surfaced.
−$125
—
54
MED
faq-coverage
No question-style subheadings found.
−$125
—
55
HIGH
entity-disambiguation
No Organization JSON-LD detected.
−$200
—
56
HIGH
entity-disambiguation
No founding-year or location anchor in homepage prose.
−$200
—
57
HIGH
entity-disambiguation
Brand "Aionui" never appears with a disambiguating descriptor (e.g., 'is an X platform').
−$200
—
58
MED
internal_link_graph_scanner
No hub pages (≥5 outbound links each)
−$125
—
59
HIGH
trust_stack
Authority trust layer is weak: 10/100 (lowest contributor: citations at 0)
−$163
—
60
HIGH
trust_stack
Identity trust layer is weak: 27/100 (lowest contributor: entity at 0)
−$163
—
61
MED
trust_stack
Safety trust layer is weak: 40/100 (lowest contributor: negative_signals at 10)
−$125
—
62
LOW
platform_profiles
Chatgpt readiness is underdeveloped
−$95
—
63
LOW
platform_profiles
Perplexity readiness is underdeveloped
−$95
—
64
LOW
platform_profiles
Google ai readiness is underdeveloped
−$95
—
AI team playbook
What each agent fixes first.
Estimated total recovered: $870/mo.$870/mo TOTAL RECOVERABLE
THE GUARDIAN
Nova
$225/mo
Weak JSON-LD for product p… — $225
+$225 RECOVERED
THE WRITER
Echo
$360/mo
3 high-impact content gaps … — $260
4 entity page gaps detected — $100
+$360 RECOVERED
THE FRONT DESK
Orbit
$95/mo
Only direct HTTP certificate… — $95
+$95 RECOVERED
THE STRATEGIST
Atlas
$190/mo
Agent-commerce
The next protocol layer.
Q3 2026 · early signal — we recommend you ship the missing endpoints now.
NEXT LAYER · Q3 2026BETA
Agent-commerce ready? No.
The next layer is AI agents that book, buy & transact on behalf of users. Protocols like MCP, x402 and agent-skills turn your site into something agents can actually use — not just read. You’re missing all of them.