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AISO SCAN · combined· SCANNED 48D AGO
opencomputer.dev
How AI sees it: invisible · preview · 36 critical issues blocking AI agents.
AISO SCORE0/100Invisible36 critical
How AI sees it: invisible · preview · 36 critical issues blocking AI agents.
AISO fixMention your brand name explicitly in body copy (not just the logo and meta). LLMs need the brand-string-in-context pattern to associate the page with the brand entity.
AISO fixSend a Content-Security-Policy response header (or <meta http-equiv> tag) so directive strictness can be scored.
AISO fixBuild cited-by signals: domain authority (OpenPageRank), placements on high-DR publications (TechCrunch, ProductHunt, etc), patent/news mentions. Authority is the #1 driver of LLM citations.
AISO fixMention the brand at least once like "Opencomputer is a [category] for [audience]" for clean LLM resolution.
AISO fixMaintain readable structure + recency: clear headings/lists for chunkability, recent updated-at dates, no stale fact decay, answer-extractable formatting (Q→A, def→explanation).
AISO fixAdd H2/H3 section breaks every ~500 words to scaffold the content
AISO fixThe <div id="root"></div> shell has no children server-side. Hydration fills it client-side, but bots without JS see nothing. Enable SSR / SSG.
AISO fixAdd 2–3 outbound links to .edu/.gov, Wikipedia, or major publications to back your strongest claims.
AISO fixMake WHO you are unambiguous: Organization JSON-LD with sameAs links, agent-discovery files (llms.txt + .well-known manifests), structured contact + offer data so delegate agents can transact.
AISO fixAdd headings like '<Product> vs <Competitor>' to comparison content
AISO fixPublish a /faq page or link a help center from the homepage navigation.
AISO fixDeclare a PotentialAction (e.g., BuyAction, BookAction, OrderAction) with target endpoint + input schema so delegate agents know how to invoke the transaction.
AISO fixAdd h2-headed sections with 134-167 words of factual content each. Empty marketing pages give LLMs nothing to cite.
AISO fixWrap term/definition pairs in <dl><dt>term</dt><dd>def</dd></dl> markup
AISO fixAdd a /best-X-alternatives or /you-vs-competitor page
AISO fixAdd a TL;DR sentence or '<Brand> is a <category> that …' lead at the top
AISO fixOpen the homepage with '<Brand> is a <category> that <differentiator>' — this is the single biggest lever for AI citability.
AISO fixAdd a FAQ block with ≥5 question/answer pairs using <details>/<summary> or <h3>+<p> patterns. Also mark it up with FAQPage JSON-LD.
AISO fixAdd FAQPage schema with 5-10 high-frequency questions for AI-search retrieval.
AISO fixAdd an HTML <table> with <th>feature</th>/<th>price</th> columns
AISO fixAdd a Person JSON-LD entry for founder/principal author with sameAs links.
AISO fixAdd a glossary page with 5+ defined terms
AISO fixDefine key terms explicitly: '**AI Agent** is a software program that...'
AISO fixBuild at least a basic navigation menu linking the homepage to product, pricing, and content pages. Without internal links, AI crawlers can't traverse the site.
AISO fixAdd an Offer, Product, or Service JSON-LD node with `price` and `availability` so agents can quote and check stock without scraping prose.
AISO fixPublish Organization JSON-LD with name + url + sameAs for entity association.
AISO fixAdd Pros/Cons sections to comparison and review pages
AISO fixRAG retrievers index paragraph spans. A landing page with only headings + buttons gives nothing for an LLM to cite — add 2-4 short paragraphs explaining what you do.
AISO fixAdd an explicit '<h2>FAQ</h2>' or 'Frequently Asked Questions' section with at least 3 items.
AISO fixAdd Review and/or AggregateRating JSON-LD with reviewer + ratingValue + datePublished. LLMs cite review summaries when ranking peers in comparison answers.
AISO fixAdd <script type='application/ld+json'> with @type:Organization including name, url, logo, and sameAs (≥3 social profiles).
AISO fixIncrease the sampled-page count to evaluate internal connectivity
AISO fixBold key statistics, definitions, and claims so AI can cite them
AISO fixUse numbered and bullet lists to expose key facts
AISO fixThe homepage returned only 7 visible words inside a react app shell. Switch to SSR (Next.js App Router, Nuxt, SvelteKit, Remix) or pre-render with a static export so crawlers receive content in the initial HTML.
AISO fixValidate the response from your manifest URL. The body must parse as JSON. Re-serve with `Content-Type: application/json`.
AISO fixReturn valid JSON at /.well-known/agent.json describing your agent or MCP capabilities.
AISO fixReturn valid JSON at /ai/faq.json with a faqs array of {question, answer, source_url} objects.
AISO fixReturn valid JSON at /ai/service.json shaped like a schema.org Service (@type, name, provider).
AISO fixReturn valid JSON at /ai/summary.json with at least name and description fields. Validate with a JSON linter.
AISO fixPrioritize: Frequently Asked Questions about Opencomputer; Opencomputer Glossary: Key Terms Explained.
AISO fixUse exactly one H1, ensure the first H2 precedes any H3, and give every H2 a clear topic label (3+ words).
AISO fixPublish an About page listing founders, team, and credentials. AI engines heavily weight provenance.
AISO fixAdd an `audience` property (or Audience node) to your Organization/Service JSON-LD with `audienceType` (e.g. 'Developers', 'Marketers'). LLMs answering 'who is X for?' use this directly.
AISO fixAdd a 2–4 sentence paragraph immediately after the H1 summarising what the product is and who it serves.
AISO fixOpen with 'We are ...' / 'Our mission is ...' / 'This is ...' — AI models need explicit entity framing.
AISO fixAdd a ContactPoint node with telephone or email, ideally including contactType. Agents fall back to noisy prose extraction without this.
AISO fixAdd <time datetime='YYYY-MM-DD'>Updated ...</time> or article:modified_time meta, or expose dateModified in Article JSON-LD.
AISO fixConcrete claims (percentages, customer counts, dates, comparative superlatives) drive trust + LLM citation likelihood. Add specific stats with sources.
AISO fixAdd a PostalAddress node (or address property on Organization) with addressLocality + addressRegion/Country so delegate agents can geo-resolve the business.
AISO fixRemove agent-hostile signals: prompt-injection patterns, broken links, deceptive cloaking, robots conflicts. Agents discount hosts that look unsafe to act on.
AISO fixAdd statistical claims to drive AI-citation rate +30-40% (Aggarwal Princeton GEO 2024).
AISO fixAdd page-family schema for Organization, FAQPage. Strong JSON-LD should match the page type, not just include generic Organization markup.
AISO fixAdd explicit entity surfaces: about or company page, team or founder page, pricing page, docs or API page.
AISO fixImprove the underlying dimensions that drive chatgpt citations: crawlability, structure, schema, freshness, entity clarity, and trust.
AISO fixImprove the underlying dimensions that drive google_ai citations: crawlability, structure, schema, freshness, entity clarity, and trust.
AISO fixAdd ItemList JSON-LD schema to comparison pages
AISO fixAdopt and reuse a small vocabulary of capitalised brand terms
AISO fixIf the homepage surfaces editorial content, include an author byline (Person JSON-LD or 'By <Name>').
AISO fixIf your business has operating hours, declare openingHoursSpecification so agents only attempt transactions during open windows.
AISO fixDeclare paymentAccepted on your Offer/Service so payment-capable agents can confirm method compatibility before initiating a transaction.
AISO fixAdd `serviceType` (e.g. 'AI search optimization') or `suitableForBusinessFunction` to your Service/Product node so LLMs categorise the offering correctly.
AISO fixAdd links to Wikipedia, LinkedIn company page, YouTube channel, or GitHub org so AI engines can cross-reference authority.
AISO fixAdd 'founder': [{ @type: Person, name: ... }] to the Organization schema.
AISO fixWe will retry on the next scan. No action needed on your side.
AISO fixImprove the underlying dimensions that drive perplexity citations: crawlability, structure, schema, freshness, entity clarity, and trust.
AISO fixIf you launch localised variants (e.g. /es, /de, fr.example.com), add `<link rel="alternate" hreflang="...">` tags pointing at each variant plus `x-default`.
AISO fixRun Template Audit, Full Site, or Deep Investigation mode to compare key templates across the site.
Deterministic extraction from stored page context: identity, offers, actions, files, trust, and evidence.
No grounded description found.
No structured offer or price evidence found.
No booking, buying, contact, quote, or API path found.
No llms.txt, agents.json, mcp.json, x402.json, profile.json, or offers.json found.
Agents need a stable name, category, and short description before they can explain the page.
Agents cannot recommend, compare, or transact without a grounded offer or price.
Agents need explicit next actions instead of guessing how to engage.
Files such as llms.txt, agents.json, mcp.json, profile.json, and offers.json make the site directly readable.
Paste these into the public agent files your site is missing, then rescan.
# opencomputer.dev
> Public profile for agent-readable discovery.
Canonical: https://opencomputer.dev/
Agent-readable schema: aios.agent_readable.v1
## Offers
- Add structured offers.
## Actions
- Add book, buy, quote, contact, or API actions.{
"schema": "aios.agent_readable.v1",
"name": "opencomputer.dev",
"url": "https://opencomputer.dev/",
"description": "Public profile for agent-readable discovery.",
"offers": [],
"actions": [],
"evidence": []
}{
"schema": "aios.mcp_manifest.v1",
"name": "opencomputer.dev",
"profile_url": "https://opencomputer.dev/",
"tools": [
{
"name": "ask_profile",
"description": "Answer questions using grounded public profile context."
},
{
"name": "get_offers",
"description": "Return structured offers with prices, URLs, and evidence."
},
{
"name": "start_action",
"description": "Open the best booking, buying, quote, contact, or API action."
}
]
}Every check rolls up into covered, not captured, or planned-only. Click-through rows below stay tied to stored signals only.
AISO maps llms.txt and WebMCP overlap with Chrome Lighthouse's experimental agentic audits. This is an overlap map, not a Lighthouse pass/fail claim.
Web3 surfaces, Solidity and Rust audit, content quality, and site-wide context intelligence ship via the AISO Web Context Engine plus planned TOOLBOX code-audit workers. Cards below show what each module checks; metrics populate once the context-shard dispatch is enabled for your tier.
Wallet-connect, contract addresses, x402 endpoint health, ENS, chain metadata, exposed ABI and token metadata.
Context Engine - scrape regex + actionsFlesch-Kincaid readability, AI-readability, thin pages, duplicate content, keyword stuffing and original-research density.
Context Engine - scrape + researchSitemap coverage %, scrape markdown quality, crawl-discovered pages, entity knowledge-graph presence, research-synthesized authority and wire-extractor results.
Context Engine - scrape + map + crawl + researchAgent readiness is discovery, metadata, proof, offers, actions, protocols, and safe access together.
Sequential. Most of it auto-generates when you install Agent Link; the scanner verifies the result on the next pass.
The preview above stays visible. The detailed scanner rows, provider evidence, PDF export, and long copy-paste repair prompt are behind a one-time Stripe checkout. Referral attribution is preserved through the signed AISO referral cookie when present.
The detail rows, provider evidence, repair prompt and PDF export are behind a one-time unlock. The preview cards above stay visible.