GEO Readiness Checker — brand-ai.org

How this works

Nine questions, one per GEO tactic. Score each from 0 (not started) to 3 (live and measured). Total runs 0–27. The diagnostic returns your readiness tier, a heat-map across the nine tactics, and the next concrete step on the two lowest-scoring ones. Companion reading: Your Brand Is Invisible to AI: Why GEO Is the New SEO.

Tactic 01 of 09

Structured, AI-friendly content

Schema markup, product data, FAQ, and answer-first formatting on your owned web properties.

Not started — product and content pages have no structured data. Partial — some product or article pages carry schema, inconsistently. Implemented — schema across the catalog, FAQ, and key content. Live & measured — structured data tied to a content lifecycle process and tracked in AI-citation metrics.

Tactic 02 of 09

Deep linking & app indexing

Mobile app screens addressable via URLs and discoverable by search and AI.

Not started — the app is a closed silo with no public URLs. Partial — a handful of app surfaces deep-link to the web, ad hoc. Implemented — the key journeys (product, community, personalization) deep-link cleanly. Live & measured — deep links indexed, traffic from AI referrals routed to app, conversion tracked.

Tactic 03 of 09

Progressive Web App (PWA) layer

A crawlable web layer that exposes core experience without surrendering backend data.

Not started — native app or static marketing site only. Partial — a basic responsive site, no app-quality PWA features. Implemented — PWA covering ordering, store locator, or membership essentials. Live & measured — PWA covers core experience, indexable, and routes back into the owned ecosystem.

Tactic 04 of 09

Surface high-value UGC & community knowledge

Curated knowledge hubs that expose your community’s discussions to AI without giving away the member graph.

Not started — community lives entirely behind a login wall. Partial — some forum threads or reviews public, no curation. Implemented — a curated public knowledge hub with selected community content. Live & measured — Put-and-Take Method active: public hub drives discovery, return path to owned community tracked.

Tactic 05 of 09

Public–private content bridge

Substantive public content (training stories, expert guides, applied articles) that links to deeper member-only material.

Not started — either fully public or fully gated, no bridge. Partial — some marketing content publicly visible. Implemented — public articles and resources designed as entry points to gated experiences. Live & measured — AI-readable public layer with documented conversion to private ecosystem.

Tactic 06 of 09

Content freshness & lifecycle

Systematic refresh cadence on cited pages; nothing strategic older than 3 months without review.

Not started — the site has not been substantially updated in over a year. Partial — some blog cadence, but core pages are stale. Implemented — editorial calendar covers key pages, most refreshed within 3 months. Live & measured — lifecycle management process, freshness coverage tracked across target query space.

Tactic 07 of 09

Authoritative perspectives (E-E-A-T)

Credentialed authorship, expertise signals, and substantive thought leadership grounded in your proprietary intelligence.

Not started — content is anonymous and promotional. Partial — some named authors and bylines, but no domain expertise signals. Implemented — named experts publishing substantive content tied to credentials. Live & measured — authority content tied to ecosystem data, AI citation rate tracked.

Tactic 08 of 09

Multi-modal asset coverage

Video, image, PDF, and interactive content with metadata for machine extraction.

Not started — text-only. Partial — some video and images, no consistent metadata. Implemented — key topics covered across formats with metadata. Live & measured — multi-modal coverage matched to query patterns AI engines surface.

Tactic 09 of 09

Knowledge graph

Structured map of products, attributes, relationships, and domain expertise that AI can query without exposing the raw data.

Not started — product catalog and content live in separate silos. Partial — a unified taxonomy exists but is not queryable. Implemented — an enterprise knowledge graph covers products and core domain knowledge. Live & measured — knowledge graph synthesizes intelligence across modules, AI-queryable interface in production.

Please answer all nine questions before scoring.

0 of 9 answered

This diagnostic is a strategic readiness scan, not an audit. It is meant to surface the two highest-leverage gaps so you can take a concrete next step. For a deeper firm-specific evaluation, run the same questions inside Brandnetics AI with your firm context loaded.