AI evaluation and verification engine
The engine behind AIOInsights.
AIOTruth is the evaluation and verification engine behind AIOInsights. It measures the public signals a business publishes, shows the evidence behind each finding, and refuses to score what it cannot observe.
Deterministic scoring. Evidence shown. Nothing invented.
What the engine evaluates
Can AI systems access, understand, verify, and represent this business from the evidence it publishes?
Access
Whether crawlers and agents can reach the pages, data, and declarations at all.
Understand
Whether identity, entity, and meaning are consistent and machine legible.
Verify
Whether claims are attributable, sourced, and corroborated rather than asserted.
Represent
Whether an AI system can describe the business accurately from what it finds.
Evaluation types
Each type runs behind an AIOInsights check and is labeled Powered by AIOTruth. The check happens on AIOInsights; AIOTruth is the methodology and the evidence.
Trust Visibility
Evaluates the observable signals a business publishes across clarity, entity consistency, authority, AI discoverability, trust, and local presence.
Powered by AIOTruth Evaluation typeBetaContent Credibility
Evaluates whether a page is readable, attributable, sourced, specific, original, and honestly maintained. It does not claim to prove whether a human or an AI wrote the page.
Powered by AIOTruth. Beta. Evaluation typeBeta, Early PreviewWebMCP Readiness
Inspects the current evidence that a website exposes structured tools for browser agents. Absence is not a current failure, and presence is not a security certification.
Powered by AIOTruth. Beta. Early Preview.Deterministic and evidence based
Every point comes from an observable signal. The same input scores the same result twice, and each finding shows the evidence behind it.
Run the check, then act on it
AIOTruth introduces the finding. AIOInsights runs the check. Digilu implements and manages the work.
Compare with AIOStory. Define a term with AIOFacts. Watch the environment with AIOWeather.
AIOTruth Research
The AIO worth knowing.
The evidence labeled record of the tools, platforms, methods, experiments, and claims shaping the field. This is the research layer, scored by the Research Value Score, and separate from the evaluation the engine runs for a specific business.
Best Today
Scored 8.0 or higher, published or found in the last 72 hours, and never Unverified.
Best This Week
The strongest items of the current weekly period, ranked by Research Value Score.
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1
The Schema Markup AI Actually Reads (We Tested 3 Types Live)
Structured data is one of the few things a publisher controls outright that changes how a machine parses a page, and the citation figures quoted here suggest it is closer to table stakes tha
Tools & Apps
Tools & Apps
7.5
Claude Code Just Ran a Full AI On-Page Audit (Copy My Exact Setup)
Most audit tooling still grades a page against ranking criteria, while the thing that decides whether an assistant cites you is whether your claims are stable, attributable, and reachable.
Supportedclaudeseoskill.com
Tools & Apps
8.1
PDP Schema markup for Product Variants (ecom)
Variant markup is how a catalog tells a machine that ten listings are one product in ten configurations rather than ten near duplicate pages.
Confirmeddevelopers.google.comModels & Platforms
Models & Platforms
7.7
AI Answer Tracking Across Google AI Overview, AI Mode, ChatGPT, and Gemini with API
Being cited by an AI system is currently something most brands find out about by accident, one prompt at a time.
Emergingdataforseo.comModels & Platforms
9.3
The Schema Markup AI Actually Reads (We Tested 3 Types Live)
Structured data is one of the few things a publisher controls outright that changes how a machine parses a page, and the citation figures quoted here suggest it is closer to table stakes tha
Confirmedsearch.google.comModels & Platforms
7.7
How to Rank on ChatGPT and Claude | Generative Engine Optimization (GEO) Webinar
The specific shift here is from optimizing a page for a ranking position to assembling an evidence trail a model can assemble an answer from.
Emergingdocs.google.comModels & Platforms
7.7
AI Visibility Gaps: Find Queries Where Competitors Get Mentioned, and Your Brand Doesn’t
The three gap types name a distinction that most visibility reporting collapses, and each one implies different work.
Emergingdataforseo.comContent & Methods
Content & Methods
7.6
club-5060ti refresh: tested RTX 5060 Ti presets, a proper high-context harness, and Qwen3.8 27B
This touches how brands are found through AI and how clearly businesses can publish evidence.
Supportedgithub.com
Content & Methods
8.1
Website Auditor AI Review | Improve Your GEO & AI Search Visibility with Website Audits 📈 EP #531
Most site audits still grade the classic search layer and stop there, but the things that decide whether an assistant can quote you sit slightly to the side of that: whether the crawler reac
Confirmedwebsite-auditor.ioContent & Methods
7.8
[Paper] SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD
Two things in this report change the map for anyone trying to be found and represented accurately by AI systems.
Supportedgithub.comClaims Under Review
Circulating, not yet supported. These carry no Research Value Score.
How to generate a GEO Audit with Claude in 1 MINUTE
This claim has not been verified.
docs.qwairy.coWhat is Query Fan-Out? How AI Search is Changing SEO in 2026
This claim has not been verified.
sitesignal.appWhat six perspectives reveal about demand generation in AI search
This claim has not been verified.
searchengineland.comArchive
Every item AIOTruth has published, by week, month, category, and evidence status.
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