How AI sees it: invisible · preview · 27 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 "Daniellavrushin is a [category] for [audience]" for clean LLM resolution.
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 fixAdd headings like '<Product> vs <Competitor>' to comparison content
AISO fixPublish /llms.txt at the site root with '# <Project>' + a short summary + H2 sections linking to canonical doc URLs.
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 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 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 an explicit '<h2>FAQ</h2>' or 'Frequently Asked Questions' section with at least 3 items.
AISO fixPublish a /robots.txt that explicitly allows GPTBot, ClaudeBot, PerplexityBot, Google-Extended and other AI crawlers.
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 fixRemove agent-hostile signals: prompt-injection patterns, broken links, deceptive cloaking, robots conflicts. Agents discount hosts that look unsafe to act on.
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 fixPrioritize: Frequently Asked Questions about Developer Tooling; Developer Tooling Glossary: Key Terms Explained.
AISO fixAdd /.well-known/ai.txt with your AI/agent policy in RFC9116-style key:value lines or short markdown.
AISO fixPublish an About page listing founders, team, and credentials. AI engines heavily weight provenance.
AISO fixPublish /ai/summary.json with name, description, founded, services[], contact, and brand_assets so agents skip HTML scraping.
AISO fixAdd a 2–4 sentence paragraph immediately after the H1 summarising what the product is and who it serves.
AISO fixPublish /llms.txt and, when relevant, a .well-known agent/plugin manifest that points agents at docs, APIs, MCP endpoints, and support policies.
AISO fixDocument the skills, actions, tools, or capabilities agents can use. Include names, input schemas, output shapes, auth requirements, and whether each action is read-only or writes data.
AISO fixOpen with 'We are ...' / 'Our mission is ...' / 'This is ...' — AI models need explicit entity framing.
AISO fixAdd a TL;DR sentence or '<Brand> is a <category> that …' lead at the top
AISO fixPublish an MCP endpoint or setup guide, then link it from the homepage or llms.txt. Agents should be able to discover tool access without reading human-only docs.
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 fixUse exactly one H1, ensure the first H2 precedes any H3, and give every H2 a clear topic label (3+ words).
AISO fixAdd statistical claims to drive AI-citation rate +30-40% (Aggarwal Princeton GEO 2024).
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.
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 fixImprove the underlying dimensions that drive google_ai citations: crawlability, structure, schema, freshness, entity clarity, and trust.
AISO fixEach of these variants should have a reciprocal hreflang tag pointing back to this URL: en=https://daniellavrushin.github.io/b4/, ru=https://daniellavrushin.github.io/b4/ru/, x-default=https://daniellavrushin.github.io/b4/. Verify manually or via a separate audit.
AISO fixAdd ItemList JSON-LD schema to comparison pages
AISO fixAdopt and reuse a small vocabulary of capitalised brand terms
AISO fixMention 2-3 explicit competitors with comparison points
AISO fixOptional: publish /.well-known/agent.json (A2A or MCP manifest) so agent runtimes can discover capabilities.
AISO fixPublish /ai/faq.json as { faqs: [{ question, answer, source_url }] } so agents can cite your answers verbatim.
AISO fixPublish /ai/service.json as a schema.org Service object describing what you sell, area served, and provider.
AISO fixAdd CLI install/use docs when your product can be operated from CI, terminals, or coding agents. Include copy-paste commands and JSON output examples.
AISO fixDocument auth, API keys/OAuth, rate limits, webhooks, SDKs, sandbox/test mode, and status-page behavior so agents can call tools safely.
AISO fixIf the homepage surfaces editorial content, include an author byline (Person JSON-LD or 'By <Name>').
AISO fixIf the service supports temporary agent visits, publish a Portal manifest at /portal with tool metadata and a call endpoint, then link it from docs and llms.txt.
AISO fixIf the site supports browser-native agent access, publish a WebMCP endpoint or discovery document and link it from developer docs and llms.txt.
AISO fixIf you intend to expose agentic surfaces, publish a WebMCP manifest at `/.well-known/webmcp.json` with version + entrypoint + tools list.
AISO fixIf paid agent/API access is supported, document x402 payment flow, supported networks/tokens, payment headers, and facilitator behavior.
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 fixOnly 95 visible words were detected. Either flesh out the homepage copy or confirm the rendered output to bots matches what users see. Test with: curl -A 'GPTBot' <url> | grep -c '<your-headline>'.
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.
# daniellavrushin.github.io
> Public profile for agent-readable discovery.
Canonical: https://daniellavrushin.github.io/b4
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": "daniellavrushin.github.io",
"url": "https://daniellavrushin.github.io/b4",
"description": "Public profile for agent-readable discovery.",
"offers": [],
"actions": [],
"evidence": []
}{
"schema": "aios.mcp_manifest.v1",
"name": "daniellavrushin.github.io",
"profile_url": "https://daniellavrushin.github.io/b4",
"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.