How AI sees it: invisible · preview · 31 critical issues blocking AI agents.
AISO fixBreak paragraphs above 400 words with subheadings, lists, or bolded facts
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 "Openspec 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 fixCite at least one .edu/.gov, Wikipedia, IETF/W3C spec, or tier-1 publication near your flagship 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 fixStart llms.txt with '# <Project name>' as the H1 — per llmstxt.org this is the only required field.
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 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 fixPublish JSON-LD with Organization/Service nodes including `audience` and `aggregateRating` properties so LLMs can extract market-fit signals.
AISO fixPublish JSON-LD blocks (`<script type="application/ld+json">`) describing your offer/service, address, and contact methods. Without structured data, delegate agents can't transact on your behalf.
AISO fixPublish Organization JSON-LD with name + url + sameAs for entity association.
AISO fixAdd Pros/Cons sections to comparison and review pages
AISO fixAdd FAQPage schema with 5-10 high-frequency questions for AI-search retrieval.
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 fixWrap term/definition pairs in <dl><dt>term</dt><dd>def</dd></dl> markup
AISO fixEvery % / 'X customers' / stat deserves an inline citation link to the origin study or publication.
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 AI Agent Tooling; AI Agent Tooling 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 fixAdd a single h1 that summarises the page topic. Heading hierarchy gives RAG chunkers clean labels and lets retrievers scope queries.
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 <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 fixAim for 134-167 words per h2-bounded section — zubair's empirical citability optimum. Long sections get truncated; short ones don't carry enough signal.
AISO fixRestructure paragraphs to 30-120 words each. RAG retrievers favour self-contained spans of this size.
AISO fixAdd 'according to', 'source:', or numeric footnote references. LLMs cite content that points at primary sources.
AISO fixDelay or remove modal and overlay patterns on indexable pages, especially above-the-fold newsletter or signup gates.
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 fixFix crawl access first: ensure 200 OK on homepage + sitemap, valid JSON-LD, llms.txt published, SSR-rendered content, and a non-blocking CSP. Without this layer agents can't read the site.
AISO fixAim for 3-11 words of context-bearing description per non-decorative image.
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 claude citations: crawlability, structure, schema, freshness, entity clarity, and trust.
AISO fixKeep the cadence — fresh news coverage compounds AI-search authority.
AISO fixImprove the underlying dimensions that drive google_ai citations: crawlability, structure, schema, freshness, entity clarity, and trust.
AISO fixUse sequential heading levels (h1→h2→h3). Skipped levels confuse chunkers and accessibility tools alike.
AISO fixAdd ItemList JSON-LD schema to comparison pages
AISO fixUse the same capitalised terminology in H2/H3 headings across pages
AISO fixIf the homepage surfaces editorial content, include an author byline (Person JSON-LD or 'By <Name>').
AISO fixAdd 'founder': [{ @type: Person, name: ... }] to the Organization schema.
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.
AISO fixPages about prices, versions, launches, or changing data should expose a clear last-updated date and refresh cadence.
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.
# openspec.dev
> Public profile for agent-readable discovery.
Canonical: https://openspec.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": "openspec.dev",
"url": "https://openspec.dev/",
"description": "Public profile for agent-readable discovery.",
"offers": [],
"actions": [],
"evidence": []
}{
"schema": "aios.mcp_manifest.v1",
"name": "openspec.dev",
"profile_url": "https://openspec.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.