psikologesragulyildiran.com
Finalizing the report
Preparing the stored Is Agentic score
Essential—
Recommended—
Bonus signals—
psikologesragulyildiran.com
Preparing the stored Is Agentic score
psikologesragulyildiran.com
These checks describe whether an ordinary agent can enter, read, and operate the public site.
Agents can reach the site
Crawler access and bot defenses.
Core content is available
Useful content remains accessible without a fragile browser-only path.
Navigation fails safely
Redirects and missing pages give agents a recoverable path.
Controls are understandable
Forms and interactive controls expose usable names and structure.
The public website is always evaluated. Optional surfaces appear when the scan finds positive evidence that they apply.
Ready with gaps
Weighted across 16 applicable checks
Critical access gaps come first, followed by other applicable readiness gaps.
Keep the correct HTTP 404 status. The remaining requirement is a Markdown error body when agents request Accept: text/markdown. Include at least 20 characters explaining the error and a link to your docs, sitemap, or llms.txt. Verify with curl -sS -L -i -H 'Accept: text/markdown' https://yourdomain.com/some-path-that-does-not-exist. Check both the final 404 status and the Markdown body with Content-Type: text/markdown. Checking the status alone does not verify the missing requirement.
Add Organization JSON-LD that includes both contactPoint (with email/phone and contactType) and address (PostalAddress). This lets AI verify your business legitimacy and answer contact queries.
Add JSON-LD structured data to your homepage using the identity type that matches your site - SoftwareApplication for products, Organization or LocalBusiness for companies, Person for personal sites, Article for blogs - with name, description, url, and type-appropriate fields (offers, sameAs, author) so AI can parse your identity programmatically.
Checks are grouped by relevance for Business sites.
Homepage: 6416 chars, semantic headings (1 H1 + 5 H2s + 15 H3s), 17.9% content ratio. 5 of 5 sampled inner pages have text without JavaScript.
Site accessible to 4 agent user-agents (ChatGPT-User, OAI-SearchBot, Claude-User, PerplexityBot).
No meta-refresh or JavaScript-redirect stubs across 8 checked pages
All 5 sampled pages are publicly readable (5 with substantive content)
Canonical URL serves text/markdown and text/html via Accept negotiation with Vary: Accept
The nonexistent path https://psikologesragulyildiran.com/__ora-404-probe-d1ukwyus correctly returns HTTP 404. Partial credit: no Markdown error body was detected.
How to pass
Keep the correct HTTP 404 status. The remaining requirement is a Markdown error body when agents request Accept: text/markdown. Include at least 20 characters explaining the error and a link to your docs, sitemap, or llms.txt. Verify with curl -sS -L -i -H 'Accept: text/markdown' https://yourdomain.com/some-path-that-does-not-exist. Check both the final 404 status and the Markdown body with Content-Type: text/markdown. Checking the status alone does not verify the missing requirement.
psikologesragulyildiran.com ranks #3 for "Psikolog Esragül Yıldıran" (searched your brand name alone: no main product term from your homepage qualified)
No noindex on the homepage: no robots, googlebot or bingbot meta tag and no X-Robots-Tag header hides it from search.
Valid sitemap found at https://psikologesragulyildiran.com/sitemap-index.xml with multiple sitemaps entries
JSON-LD found (2 blocks) but no identity type - use SoftwareApplication, Product, Organization, Person, or Article so agents can tell what this site is
How to pass
Add JSON-LD structured data to your homepage using the identity type that matches your site - SoftwareApplication for products, Organization or LocalBusiness for companies, Person for personal sites, Article for blogs - with name, description, url, and type-appropriate fields (offers, sameAs, author) so AI can parse your identity programmatically.
All metadata signals present: canonical URL, lang="tr", og:image, og:type
No Organization type found in JSON-LD
How to pass
Add Organization JSON-LD that includes both contactPoint (with email/phone and contactType) and address (PostalAddress). This lets AI verify your business legitimacy and answer contact queries.
All trust anchor pages verified: About, Contact, Privacy
All 6 measured pages fit an agent context budget (largest ~2K tokens)
Agent mode view found at ?mode=agent (2 signals: llms.txt, api)
How to pass
Add a ?mode=agent query parameter to your homepage that returns a structured, machine-readable view with API endpoints, authentication info, and key capabilities instead of marketing HTML.
Found the llms.txt at https://psikologesragulyildiran.com/llms.txt.
The llms.txt is well-formatted: 23 lines with markdown links, 3,721 characters in total.
Some extended schema types found: FAQPage - add 2 more types that match what the homepage shows, for full coverage
How to pass
Add 2 more JSON-LD types that match what your homepage shows. Only add a type where the page shows that content.
All 5 probed llms.txt links resolve to real content
Markdown alternate advertised and verified: https://psikologesragulyildiran.com/llms.txt serves markdown
Code fences balanced across 1 markdown document
Returns markdown when requested via Accept header
Server HTML is a well-structured document (main=true, landmarks=4/4, h1=1, maxHeadingSkip=1).
62 native controls, 0 non-native div-soup affordances (100% native).
62/62 interactive elements have a computable accessible name (100%).
1/1 form controls have an associated label (100%).
No hidden instruction text detected in accessibility-tree attributes or off-screen content.
What does psikologesragulyildiran.com do and who is it for? Explain it back to me.
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Source: Ora API
What does psikologesragulyildiran.com do and who is it for? Explain it back to me.
3 steps1 reasoning step
Agent successfully gathered and synthesized core information about the practice from the homepage and contact page. The site is a simple brochure with limited depth; pricing and many service details are absent, forcing the agent to explicitly flag gaps rather than invent answers.