Score your site against the Standard.

Good: A deliberate, fact-dense set of owned pages that answer what a customer or an AI would ask about you.
Fix: Systematically gather every verifiable fact about the entity and publish it as canonical, structured content. Treat the site as the official reference, not the brochure.

Good: Facts are reviewed and updated as they change. Updating a page updates what AI knows.
Fix: Assign ownership and a review cadence. Update the substance when facts change, not just the date.

Good: Canonical pages, cleanly internally linked, no duplicate or contradictory facts competing.
Fix: Consolidate duplicate and conflicting information into single canonical pages and point internal links at them.

Good: Headings are natural-language questions an AI can map a query to.
Fix: Rewrite headings as the questions your audience actually types or speaks.

Good: Each passage is a standalone chunk: one idea, complete on its own.
Fix: Tighten content into self-contained chunks. Put a direct answer in the first 40 to 60 words of a section.

Good: FAQ blocks and scannable structures, marked up so machines parse them cleanly.
Fix: Add FAQ sections, lists, steps and comparison tables, plus FAQ/Article schema.

Good: Attributed, specific figures at that density, not vague claims.
Fix: Add attributed statistics through the body at roughly that cadence.

Good: Named, credentialed quotes that add authority.
Fix: Add quotes from credentialed experts and show their credentials.

Good: Claims are backed by links to authoritative, verifiable sources.
Fix: Cite authoritative sources inline so the model can corroborate your claims.

Good: You have looked, recently, at what the answer engines actually return about the entity.
Fix: Run an AI footprint audit: ask the customer questions across the major engines and record the answers.

Good: Every wrong or missing answer becomes a content task that corrects it.
Fix: Convert each finding into a page or FAQ that publishes the correct fact.

Good: A monitored cadence, so you catch drift and measure improvement.
Fix: Schedule the audit (for example monthly) and track how answers change.

Good: A mandatory human-in-the-loop step: no AI draft publishes unverified.
Fix: Make expert human review non-negotiable. The expert fact-checks, adds first-hand experience and signs off.

Good: Demonstrable intellectual and creative investment a competitor could not cheaply copy.
Fix: Invest visible effort: original data, custom visuals, genuine analysis. Use AI to enhance human work, not replace it.

Good: No weak pages diluting the domain. Quality is consistent across the site.
Fix: Audit for thin or low-effort pages and prune, merge or upgrade them. Site-level quality affects everything.

Good: Effort is concentrated where intent is to choose or buy, not just to learn.
Fix: Reprioritise the content plan toward decision-intent queries that convert.

Good: Success is measured as being in the answer and converting, not just clicks.
Fix: Reset KPIs to AI-era metrics: answer presence, conversions, quality of assisted traffic.

Good: You can see the higher-converting AI-sourced visitors as their own segment.
Fix: Segment and measure conversions from AI answer engines.

Good: Plain, legible statements that pin down the entity unambiguously.
Fix: Publish concise disambiguation statements on About and entity pages.

Good: Machine-readable JSON-LD that confirms the entity and links its profiles.
Fix: Add Organization and Person JSON-LD with sameAs links to your verified profiles.

Good: A deliberate programme that gets the brand named on trusted third-party pages.
Fix: Audit where competitors are mentioned and pitch to be named on those same authoritative pages.

Good: Off-site corroboration: third parties connect your brand to your topics.
Fix: Build co-occurrence: get the brand and its topics mentioned together across trusted external sources.

Good: Every substantive page names its author and links to a real bio.
Fix: Add named bylines and build rich author pages that state credentials.

Good: Authors are recognisable entities Google can resolve and trust.
Fix: Connect each author's footprint across professional networks and mark it up with Person schema and sameAs.

Good: Bios and content show the author has actually done the thing.
Fix: Surface first-hand experience in author bios and within the content itself.

Good: Your expertise lives natively on the platforms, not just as links back to your site.
Fix: Repurpose key expertise into platform-native YouTube, Reddit and Quora content.

Good: A presence on the data sources (Reddit, YouTube) that feed AI answers.
Fix: Build and maintain presence on the platforms LLMs are known to source from.