Customer
Can buyers understand the offer in 5 seconds?
If value is ambiguous, buyers leave and LLMs fail to synthesize your solution, passing leads to rivals.Enter your URL. See evidence-backed website issues that can block discovery, understanding and source consideration across AI search systems.
Know what people ask AI about your category, deploy technical governance agents across 18 deterministic engines, and measure citation impact on one single screen.
Fully crawlable and directly citeable landing page architecture optimized for ChatGPT, Claude, and Perplexity.
Discover how answer engines (ChatGPT, Claude, Gemini, Perplexity) synthesize your domain and where competitors capture your branded demand.
Instantly deploy technical fixes, llms.txt v2 endpoints, and authoritative Schema.org knowledge graphs to win AI citations.
Quantify visibility, resolve crawl errors with our Fix Pack, and protect your commercial revenue from dark-pool AI erosion.
Track bot visit trends from OpenAI ChatGPT, Meta LLaMA, Anthropic Claude, and Perplexity. Correlate crawler frequency directly with citation growth.
Compare answer engine visibility across your industry. Maintain top 82nd percentile performance and win direct brand citations over rivals.
Stop AI hallucinations and misstatements about your business. Connect LLM responses directly to verifiable W3C citations with deterministic FactCheck.
Ensure your products rank first in ChatGPT Shopping and conversational shopping agents with rich structured data and direct merchant feeds.
Just as a credit committee underwrites corporate risk, AI engines evaluate your website: Are claims consistent? Is evidence verifiable? Is machine-data missing? HTML&HTML does not produce vanity reports; we isolate which step breaks customer and AI decisions using hard web proof.
Can buyers understand the offer in 5 seconds?
If value is ambiguous, buyers leave and LLMs fail to synthesize your solution, passing leads to rivals.Is visible evidence supporting your claims?
Without verifiable W3C and RFC compliance, commercial decisions stall and AI models refuse citation.Can Google and AI systems read the site?
If robots.txt and llms.txt are broken, AI crawlers bypass your domainβrendering you invisible to 40% of the market.Can buyers inspect a real example output?
Definitive Schema.org graphs and Wikidata consensus build institutional trust far beyond marketing promises.Does the offer lead to one clear next action?
Traffic must convert directly into an automated, drop-in engineering package deployable in 15 minutes.Traditional agencies sell 200-page PDF audits with vague advice and leave implementation to you. HTML&HTML transforms complex technical barriers into 5-second decision clarity and drop-in code packages that your engineering team can deploy in 15 minutes.
We do not score 'good or bad'. We pinpoint why AI engines (ChatGPT, Gemini, Claude, Perplexity) ignore your brand through four exact questions: What is broken? What is the evidence? What is the revenue impact? How to fix it?
Zero hallucinations or random scores. Concrete evidence derived from real URLs, HTTP response headers, DOM hierarchy and TCP/TLS AST budgets under W3C and IETF RFC standards.
No vague consultancy. We provide drop-in Nginx/Apache directives, Schema.org JSON-LD graphs, llms.txt v2 manifests and automated rollback scripts.
15 core engineering components ensuring search bots and LLM agents index, understand, and cite your domain.
Independently verified crawler rules and access governance for global AI search engines.
HTML&HTML operates with zero fault tolerance matching institutional software standards.
No engineering expertise required. Our platform diagnoses issues, packages solutions, and enables your developers.
Enter your website URL. 18 independent engines analyze your public web surface within seconds.
Examine transparent HTML, HTTP and DOM evidence showing why AI models cannot parse your site.
Acquire the Fix Pack if issues are critical. Download the 30+ file engineering package instantly.
Deliver production-ready templates, Nginx configs and tests to your team for a 15-minute rollout.
Traditional agencies bill thousands for abstract PowerPoint decks and leave implementation to you. We transform technical chaos into decisive business clarity, delivering drop-in code your engineers deploy immediately for a single fixed fee.
Diagnose My Risk Free βDeterministic checks aligned 100% with official RFC specifications and vendor developer documentation.
FindingWhat is wrong?
LocationWhich URL / surface?
EvidenceWhat proves it?
ImpactWhat can it limit?
PriorityWhat should be handled first?
Search systems may read the primary URL with more ambiguity.
rel="canonical" was not found inside <head>No ranking, citation, traffic or revenue guarantee. Third-party model behavior is outside our control. We do not invent codebase defects that public crawling cannot observe.
If the issue is real, get the fix package your developer can implement.
β
Nothing is hidden. URL, severity, confidence, evidence, and all production code recipes are 100% unlocked. You can export the full report to PDF and download the 30+ file resolution package as a ZIP (included with the $99 enterprise software package).
No. The score only represents measured checks. It is not a ranking, traffic or AI citation guarantee.
No. llms.txt is an evolving proposal, not a web standard. It is therefore labeled PROPOSAL and given limited weight.
This version measures HTML/HTTP performance hygiene. Reliable LCP/INP/CLS needs CrUX/PageSpeed data; without it the result is NOT_MEASURED.
To reduce SSRF risk, localhost/private/reserved targets, private DNS resolution, non-standard ports and redirect pivots into private networks fail closed.