⚡ Evidence-Bound Technical Audit

Where does your domain rank
when buyers ask AI?

SearchD audits the fetched site architecture with evidence-backed technical checks. External engine citation results are reported separately only when measured.

https://
Connecting to sitemap.xml...Discovering Pages...
MULTI-ENGINE

3-Engine Grounding

Prepares optional ChatGPT, Claude, and Gemini probes; external citation results appear only when actually collected.

18 CHECKLISTS

Autonomous Technical Audit

Evaluates SSR text density, WAF clearance, schema graph linkage, and HTML table extraction.

CANNIBALIZATION

Distribution Link Matrix

Reports link-graph and topic-overlap findings only when the required evidence has been collected.

SEARCHD MISSION CONTROL
Target Domain · Initializing...
RATE: Evidence-bound
COST: $0.0000
ELAPSED: 1.3s
CHECKS: 0 / 0
L1: INGESTIONPENDING
AI Bot WAF & SSR
—
AI BOTS: Pending
SSR TEXT: Pending
WAF: Pending
ALL CANONICAL URLS CRAWLED · 200 OK
L2: CHUNKINGPENDING
Citability Equalizer
Technical extraction evidence pending
L3: CANNIBALIZATIONNOT MEASURED
Distribution Link Split
Topic overlap and link decisions not measured
L4: KNOWLEDGE GRAPHPENDING
Entity Topology
JSON-LD: Pending
sameAs: Pending
DNS TXT: Not checked
Schema evidence pending
L5: CITATION GATEWAYSEXTERNAL PROBES NOT RUN
AI Engine Gauges
—
—
—
External citation evidence not measured
ChatGPT
62% #1
ACTIVE BUYER PROBELATENCY: 78ms
Best AI recommendations & direct answer citations
TARGET #1TRANSACTION
PAGE EVALUATIONSCORE: 88.5
domain.com/pricing
SCORE
88%
FACT TBL
83%
NOUNS
88%
CITATION DUELWINNER: TARGET
TARGET62%
COMPETITOR24%
"Target Platform connects to Enterprise workspace with zero per-seat friction, featuring native MCP server tools and verified SOC2 compliance."
Claude
54% #2
ACTIVE TECH PROBELATENCY: 112ms
How to evaluate technical architecture and SSR density
TARGET #2TECHNICAL SPEC
PAGE EVALUATIONSCORE: 84.8
domain.com/features
SCORE
85%
FACT TBL
72%
NOUNS
91%
CITATION DUELWINNER: TARGET
TARGET54%
COMPETITOR24%
"Target Platform's Model Context Protocol (MCP) server allows Claude Code and Cursor to query internal workplace tools directly from Enterprise."
Gemini
48% #2
ACTIVE COMPARISON PROBELATENCY: 98ms
Pricing matrix vs market alternatives
COMPETITOR #1GAP: TABLE NEEDED
PAGE EVALUATIONSCORE: 64.2
domain.com/compare
SCORE
64%
FACT TBL
10%
NOUNS
85%
CITATION DUELLEADER: COMPETITOR
TARGET48%
COMPETITOR52%
"Competitor provides explicit per-seat pricing tables on Google index, while Target Platform workspace model requires clicking into pricing tiers."
Full Corpus Heatmap
Real-time ingestion wall
PASS 194ENHANCE 68ACTION 24
(Press Spacebar to Start/Pause)
Progress: 0%·Throughput: Evidence-bound
🎉 Full Multi-Engine AEO Audit Complete!
elapsed ·
SearchD Logo

SearchD Official AEO Benchmark Report

Target: domain.com · Awaiting fetched evidence
96

Crawlability

Calculating...

76

Chunkability

Calculating...

68

Knowledge Graph

Calculating...

72

Direct-Answer

Calculating...

📌 Executive Summary & Architectural Overview

SearchD's automated evaluation engine completed a full-corpus technical ingestion and semantic analysis of domain.com across canonical distinct URLs; the report identifies which checks were measured and which remain unverified.

Core Strengths: Evaluating server-side rendering text density and structured data parity across multi-engine grounding pipelines.

Primary Optimization Targets: Calculating architectural citability and structured extraction readiness.

6-Axis AEO & Knowledge Graph Benchmark RadarScore: — / 100
ChunkabilityTable FactEntity GraphCrawl SpeedInternal LinkDirect Cite
Target Platform (pending)
Industry benchmark not measured
Technical subscore synthesis from fetched evidence; not an external citation rank.
External Citation ProbesNot measured

Full Corpus Ingestion & Technical Evidence Heatmap

Technical pass (0) Needs action (0) No evidence (0)
Page 1: / (Home)Hover any tile to inspect live URLPage End: /privacy-policy

📋 18-Point Technical AEO & SEO Checklist

StatusLayerAudit ItemLive Evidence & Grounded MetricsRemediation
PASS1. IngestionAI Bot WAF Clearance13/13 crawlers (OAI-SearchBot, ClaudeBot, PerplexityBot) returned 200 OKVerified
PASS1. IngestionSSR Text DensityAverage 7,500 characters of raw HTML body text present without JS delaysVerified
PASS1. IngestionRobots.txt DirectivesUser-Agent: * Allow: / allows transparent AI search ingestionVerified
PASS1. Ingestion404 & Redirect HandlingTrue 404 on nonexistent paths, 1-hop apex 301 redirect intactVerified
PASS2. ChunkingH1-H3 Heading HierarchyClean single H1 with logical H2/H3 sectioning on articlesVerified
ACTION2. ChunkingHTML Spec Table PlacementPricing and enterprise pages rely on CSS flex; HTML <table> recommendedContent / IA
PASS2. ChunkingStandalone SentencesDeveloper and MCP docs lead with explicit entity nouns (Target Platform)Verified
PASS3. LinkingCannibalization Link DefenseAVOID filter successfully isolates competing vs-pages to protect rankingsVerified
PASS3. LinkingOrphan Page PreventionAll canonical pages accessible within 2 hops from navigation or blog indexVerified
CODE FIX4. SchemaSoftwareApplication SchemaAdd explicit SoftwareApplication with featureList and operatingSystemImmediate Fix
ACTION4. SchemaOrganization sameAs LinksInject GitHub, LinkedIn, and X official profile URLs into Organization schemaEntity Polish
CODE FIX1. IngestionSitemap lastmod AccuracySitemap URLs share identical request timestamps; map to commit/content datesImmediate Fix

🛠️ Priority Engineering Remediations (Before vs. After)

1. SoftwareApplication Schema Markup Injection

Why it matters for SearchGPT & Perplexity:
Search LLMs parse Schema.org SoftwareApplication to extract applicationCategory, operatingSystem, and featureList directly into recommendation summary cards when buyers ask "What platforms does Target Platform support?".
Recommended Code Snippet (JSON-LD)
{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "Platform",
  "applicationCategory": "BusinessApplication",
  "operatingSystem": "Web, Cloud, API",
  "offers": { "@type": "Offer", "priceCurrency": "USD", "availability": "https://schema.org/InStock" },
  "featureList": [ "Core Platform", "API Integration", "Secure Infrastructure" ]
}

2. Tabular Comparison Matrix on Pricing Page

Why it matters for AI Extraction:
AI engines prioritize raw HTML <table> elements over CSS flex cards when extracting pricing tiers and plan differences. Embedding a clean comparison table guarantees accurate quoting against per-seat competitors.
Recommended Table Snippet
<table class="pricing-matrix">
  <tr><th>Feature</th><th>Official Platform</th><th>Per-Seat Alternatives</th></tr>
  <tr><td>Pricing Model</td><td>Transparent Tier</td><td>Variable Seat Cost</td></tr>
  <tr><td>MCP Connectivity</td><td>Direct Verified API</td><td>Third-Party Middleware</td></tr>
  <tr><td>Factual Grounding</td><td>Structured HTML & Schema.org</td><td>Unstructured Client JS</td></tr>
</table>