What is an AI Readiness audit?

An AI Readiness audit measures how easily AI systems — including ChatGPT, Claude, Perplexity, Google AI Overviews, Bing Copilot and Google Gemini — can discover, parse, understand, trust and cite a website. It evaluates structured data, entity clarity, author authority, evidence context, and answer-ready content structure.

What is GEO (Generative Engine Optimization)?

GEO is the practice of optimizing content and technical signals so generative AI search engines (ChatGPT, Perplexity, Gemini, Copilot) retrieve, summarize and cite your content when answering user questions. It overlaps with SEO but prioritizes clarity, entity relationships, sourcing, and structured evidence over keyword density.

What is AEO (Answer Engine Optimization)?

AEO is the discipline of structuring content so that direct-answer systems — featured snippets, People Also Ask, voice assistants, AI Overviews — can extract concise, accurate answers. It relies on question-led headings, definition blocks, FAQPage schema, and precise entity references.

How much does SPEEDexa Intelligence cost?

SPEEDexa offers a free Basic Audit with ad-supported results and unlimited daily usage. The Advanced Audit costs $10 USD and allows up to 3 advanced audits per day, is ad-free, requires login, and includes video content audit for YouTube, Facebook and TikTok.

Does SPEEDexa audit video content?

Yes. The Advanced plan includes a Video Content Audit module that analyzes YouTube, Facebook and TikTok videos for SEO signals, engagement, metadata quality, hook structure, chapter usage, trending audio alignment, and platform-specific recommendations.

Can SPEEDexa measure AI search visibility?

SPEEDexa separates observed, detected, inferred and recommended signals. AI search visibility itself is measured when external AI-search data sources are connected. The live structural audit measures the technical and content conditions that determine whether AI systems can retrieve and cite the site.

Is the free Basic Audit unlimited?

Yes. The Basic Audit is unlimited and ad-supported. It evaluates technical SEO, structured data, content, entities and performance readiness. Advanced modules — including video audit, competitor comparison and full reports — require the Advanced plan.

How is the Digital Intelligence Index calculated?

The Digital Intelligence Index is a weighted composite of seven layers: AI Readiness (25%), GEO / AI Search (15%), Technical Foundation (15%), Content Intelligence (12%), Entity / Knowledge Graph (12%), UX / CRO (8%), and Authority / Trust (13%). All weights are versioned so historical audits remain comparable.

AI READINESS · GEO · AEO · DIGITAL INTELLIGENCE

Business Times
Intelligence Center

A deeper operating view across AI discoverability, GEO, AEO, technical search foundations, content authority, entities, performance, UX/CRO and competitive opportunity.

AI READINESSGEOAEO ENTITY GRAPHSCHEMA CONTENTCROPERFORMANCE VIDEO

74DIGITAL INTELLIGENCE
INDEX / 100

Composite diagnostic · revalidate with live integrations

CONFIDENCE

81

AI Readiness

77

GEO / AEO

82

Technical

63

Entity Graph

59

Authority

Executive Intelligence

What matters most before implementation

AI DISCOVERY

Strong foundation

Machine-readable identity and article context are present, but entity relationships can be strengthened.

81

AUTHORITY

Primary gap

Topic and author authority should become a connected knowledge system rather than isolated pages.

59

COMMERCIAL

Opportunity

High-intent content can be connected to conversion paths, audience segments and measurable outcomes.

68

Intelligence Matrix

Seven layers of the audit

AI Readiness

81

GEO / AEO

77

Technical

82

Content

79

Entity / Knowledge

63

UX / CRO

68

Authority / Trust

59

Evidence Model

How SPEEDexa interprets audit signals

OBSERVED

Directly measured from an available connected source.

DETECTED

Technical or structural condition identified during audit processing.

INFERRED

Model-derived assessment based on available evidence.

RECOMMENDED

Strategic action generated from the detected opportunity.

AI Readiness Command Center

Can AI systems understand, trust, retrieve and cite this website?

81

AI Discoverability

76

Machine Understanding

63

Entity Coherence

72

Citation Readiness

AI Readiness Matrix

Foundation → retrieval → trust → citation

Signal	Status	Impact	Recommended action
Publication identity	FOUNDATION	High	Keep consistent organization identity and site-level context.
Author identity	OPPORTUNITY	High	Connect authors to expertise, articles and entity profiles.
Article context	OPPORTUNITY	High	Strengthen article metadata, dates, sources and relationships.
Topic relationships	PRIORITY	Critical	Build topic → entity → article → author relationships.
Evidence context	OPPORTUNITY	High	Make source, attribution and update context explicit.
Answer-ready structure	OPPORTUNITY	Medium	Use concise answer blocks, definitions, summaries and supporting context.

GEO / AEO Intelligence

Readiness for generative and answer engines

78

Search Intent Coverage

72

Citation Potential

61

Entity Authority

84

Content Freshness

Answer Engine Model

01DISCOVER

02PARSE

03UNDERSTAND

04TRUST

05CITE

06RETURN

The objective is not simply ranking pages; it is making the site's knowledge understandable and useful when an answer engine assembles an answer.

AEO Opportunity Signals

Question-led contentHIGH

Definition / explainer blocksHIGH

FAQPage schemaMEDIUM

Evidence / sourcing contextMEDIUM

Topic authority depthPRIORITY

Technical Intelligence

Technical conditions that influence search, discovery and machine access

82

Crawlability

86

Indexation

69

Architecture

55

Structured Data

Diagnostic Matrix

Priority technical layers

Crawl & Indexation

82

URL / Site Architecture

69

Internal Linking

61

Schema / Structured Data

55

Mobile Technical Readiness

76

CRAWL LAYER

Robots, sitemap coverage, canonical logic, status codes, pagination and crawl paths.

TEMPLATE LAYER

Titles, headings, article metadata, breadcrumbs, media and structured data.

GRAPH LAYER

Connect article → topic → entity → author → related content.

Content Intelligence

Transform publishing volume into durable topical authority

79

Topic Coverage

62

Content Depth

83

Freshness

57

Cannibalization Risk

Topic Clusters

Group stories into durable topic systems with pillar pages, explainers and related updates.

Authority Layer

Connect author expertise, recurring beats and editorial ownership to topic entities.

Intent Layer

Map breaking, informational, comparison, commercial and evergreen intent.

Content Knowledge Model

PERSONAuthor / expert

ORGCompany / agency

PLACELocation

EVENTNews event

TOPICSubject

ARTICLEStory / guide

Entity & Knowledge Graph

Machine-readable relationships are a core AI readiness layer

63

Entity Coherence

71

Identity Clarity

54

Relationship Depth

Knowledge Graph Architecture

Recommended relationship model

PUBLICATIONIdentity

AUTHORExpertise

ARTICLEEvidence

ENTITYPerson / org

TOPICConcept

EVENTContext

Priority: make relationships explicit rather than relying on isolated metadata fields.

ENTITY CONSISTENCY

Use stable names, descriptions, canonical profiles and linked references for important entities.

RELATIONSHIP DEPTH

Connect entities to articles, authors, topics, sources, events and updates to create contextual understanding.

Performance Intelligence

Speed, stability and technical delivery as part of the digital product

71

Readiness

—

Measured LCP

—

Measured INP

—

Measured CLS

Test Matrix

Template	Priority	Why
Homepage	P1	Highest discovery surface
Article	P1	Largest traffic footprint
Topic	P2	Authority layer
Archive	P2	Crawl efficiency

Optimization Areas

Hero/image delivery · JavaScript execution · third-party scripts · caching/CDN · fonts · lazy loading · layout stability · ad-slot behavior.

Live CWV values are intentionally blank until measured data is connected.

UX & Conversion Intelligence

Move visitors from discovery to meaningful action

76

Discoverability UX

64

Recirculation

58

Conversion Path

72

Trust Signals

LANDSearch / social

READCore content

DISCOVERRelated

FOLLOWTopic / author

RETURNDirect / email

CONVERTCommercial action

RECIRCULATION

Related content should follow topic/entity relevance, not only chronological freshness.

FIRST-PARTY

Topic follows, newsletters and saved interests can turn anonymous traffic into an audience relationship.

COMMERCIAL UX

High-intent sections should have clear, measurable conversion paths without damaging editorial trust.

Video Content Audit & Recommendations

YouTube · Facebook · TikTok · Platform-specific signals

Uses official oEmbed / Data API endpoints only. No scraping.

—

Overall Video Score

—

Video SEO

—

Engagement

—

Momentum

Competitive Intelligence

Use competitors as a gap map — not a vanity ranking

74

Your Intelligence

—

Competitor A

—

Competitor B

+12

Opportunity Headroom

Opportunity Intelligence Engine

Prioritized actions based on impact, urgency and implementation leverage

P1 · HIGH IMPACT

Build the Entity Graph

Connect publication, authors, topics, entities, events and articles into an explicit knowledge structure.

AI + AUTHORITY

P1 · HIGH IMPACT

Strengthen Topic Ownership

Create durable topic hubs and supporting explainers around recurring high-value subjects.

GEO + AEO

P2 · MEDIUM-HIGH

Answer-Ready Content

Add concise definitions, direct answers, evidence context and structured supporting sections.

AEO

Action Queue

Recommended implementation order

01

Entity architecture

Publication → author → article → topic → entity relationships.

P1

02

Technical structured data

Strengthen article, organization, person, website and relevant entity markup.

P1

03

Topic authority system

Turn high-volume recurring subjects into hubs, explainers and update chains.

P1

04

AI answer layer

Build question-led, definition and evidence-rich sections for retrieval and citation contexts.

P2

05

Conversion measurement

Connect high-intent content to measurable commercial journeys and first-party actions.

P2

90-Day AI Transformation Roadmap

Diagnose → Structure → Optimize → Authorize → Scale

DAY 0–15

DIAGNOSE

Technical baseline, crawl/indexation, templates, entity inventory, content inventory and measurement plan.

DAY 16–35

STRUCTURE

Schema, entity model, internal linking, topic taxonomy, author architecture and evidence relationships.

DAY 36–65

OPTIMIZE

Topic hubs, answer-ready content, performance improvements, recirculation and conversion paths.

DAY 66–90

AUTHORIZE

Authority signals, AI/GEO/AEO expansion, competitive gap actions, dashboards and continuous testing.

Client Report

Executive-ready audit output

SPEEDEXA INTELLIGENCE · AI READINESS · GEO · AEO AUDIT

Business Times — Intelligence Audit

Digital Intelligence Index: 74 / 100

Executive finding

The strongest opportunity is to move from isolated pages and metadata toward a connected intelligence system: topic authority, explicit entity relationships, answer-ready content, stronger evidence context and measurable conversion journeys.

Priority workstreams

Entity and knowledge graph architecture
Technical structured-data and internal-link foundation
Topic authority and answer-ready content
AI / GEO / AEO discoverability and citation readiness
Performance and UX measurement
Video content optimization (YouTube, Facebook, TikTok)
Conversion and first-party audience intelligence

Measurement principle

SPEEDexa separates observed, detected, inferred and recommended signals. Live Lighthouse, Search Console, analytics, crawler and external AI-search measurements should be connected before treating preliminary scores as production benchmarks.

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Unlimited basic audits
AI Readiness + GEO + AEO + Technical + Content + Entity + CRO
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ADVANCED

$10 / one-time

Up to 3 advanced audits per day
Ad-free results
Video Content Audit — YouTube, Facebook, TikTok
Competitive Intelligence
Opportunity Engine + 90-Day Roadmap
Exportable Client Report (PDF/JSON/TXT)
Saved audit history