AI Discovery Index

AI can’t recommend what it can’t understand.

Runexus measures whether AI systems can clearly read, classify, and reuse your website, then shows the exact fixes that improve AI visibility.

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Machine readability Entity clarity Answer readiness
The problem

Traditional SEO does not prove that AI understands you.

A beautiful website can still be nearly invisible to answer engines. AI systems need structured data, consistent entities, crawlable HTML, semantic content, and clear topic relationships before they can confidently reuse your site.

Old SEO question

Can search engines index the page?

Rankings, backlinks, keywords, and traffic still matter, but they do not tell you whether AI can interpret your business correctly.

AI discovery question

Can AI understand and reuse the page?

Runexus looks at the machine-readable foundation answer engines need before they can cite, summarize, or recommend you.

Why this matters now

AI discovery is becoming a machine-readable first impression.

Search is shifting from lists of links to AI summaries, recommendations, and answer engines. If your site is hard for machines to classify, retrieval systems can skip it, misread it, or reuse weaker competitors instead.

AI summaries

Your site has to be easy to extract.

Clear entities, headings, schema, and answer-ready sections make your pages easier for AI systems to understand quickly.

Answer engines

Machines need repeatable evidence.

Runexus checks whether the signals on your site point to one coherent business, offer, and topic structure.

AI selection

Understanding comes before trust.

Discovery does not replace authority. It creates the on-site foundation AI needs before recommendation confidence can grow.

What it analyzes

The first layer of AEO: discovery.

Discovery is the on-site layer. It answers whether AI can understand your site at all. Off-site authority, backlinks, reviews, citations, and reputation belong to AI Trust Engine later.

01

Structured data and JSON-LD

Detects schema coverage, JSON-LD validity, Organization and LocalBusiness schema, Article schema, FAQ schema, and breadcrumb markup.

02

Entity clarity

Checks whether your business name, URL, visible branding, metadata, canonical signals, and schema resolve into one clear entity.

03

Crawlability and indexability

Reviews robots.txt, sitemap availability, canonical tags, HTTP errors, and whether public pages return reliable HTML.

04

Answer-ready content

Looks for content depth, useful structure, headings, lists, semantic sections, topical coverage, and extractable answers.

05

Topic architecture

Evaluates internal linking, hub-and-supporting-page relationships, and whether related pages reinforce the same topic space.

06

Rendering and delivery

Flags JavaScript-heavy rendering, thin initial HTML, slow responses, and heavy page payloads that make automated retrieval harder.

Proprietary scoring

Built around the signals AI systems need before selection can happen.

Structured Data35%
Entity Clarity25%
Content Quality15%
Crawlability10%
Topic Architecture10%
Performance & Rendering5%
Hard penalties

Some gaps cap your AI visibility no matter how good the page looks.

  • No JSON-LD detected
  • No Organization schema
  • Weak or missing authorship
  • JavaScript-heavy rendering

RNX issue system

Technical findings your team can actually fix.

The scanner translates abstract AI visibility problems into RNX issue codes with severity, impact, why it matters, and exact remediation.

RNX-001Missing Organization schemaCritical entity clarity issue
RNX-101Missing JSON-LDStructured data foundation gap
RNX-201Thin contentWeak answer extraction depth
RNX-301No sitemapDiscovery and crawl path weakness
RNX-401Weak internal linkingTopic architecture problem
RNX-701Heavy client renderingInitial HTML visibility risk

Free vs paid

Run the teaser or unlock the full operating plan.

Free preview

See the signal fast.

  • AI Visibility Score preview
  • Limited score breakdown
  • Preview summary
  • Highest-priority issue teaser
  • Projected improvement teaser
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Transparent pricing

Simple access. No contracts. No agency retainers.

The AI Discovery Index is a software subscription for teams that want ongoing visibility checks, reruns, exports, and implementation-ready fixes without a consulting retainer.

AI Discovery Index $29.95 /month
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  • Full AI Discovery reports
  • AI Selection Analysis
  • RNX remediation system
  • PDF, CSV, and markdown exports
  • Recent scan history
  • Ongoing reruns and comparisons
Cancel anytime No long-term commitment Clear subscription pricing

Selection analysis

Readable is not the same as recommendable.

The AI Discovery Index starts with understanding. Paid reports also explain whether that visibility is likely to translate into AI selection, using recommendation likelihood, selection confidence, selection risk, and clarity gaps.

Can AI understand you? Discovery On-site structure, entities, crawlability, and answer readiness.
Would AI choose you? Selection Confidence, remaining gaps, and what limits recommendation.

Built for the AI search era

Serious infrastructure for AI discoverability.

Machine-readable first

Designed around the signals automated systems can retrieve, parse, and reuse.

No fake authority claims

Discovery measures on-site understanding. Off-site trust belongs to the AI Trust Engine.

Execution-ready outputs

Reports are built for owners, agencies, developers, and teams that need prioritized action.

The shift is already happening

If AI cannot clearly interpret your business, future discovery gets fragile.

Start with the first layer. Find out whether AI systems can understand your website, then fix the gaps that block recommendation before trust and authority even enter the conversation.

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Free preview first, or unlock directly. $29.95/month. Cancel anytime.