Agent-readiness report: fastsocialz.com A

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fastsocialz.com

Lovable · 99% confidence
https://fastsocialz.com/
A87 / 100
Grade A · Level 4InteractiveExcellent — agents can find, read, and act on your site.
Why we think this is Lovable (2 signals)
  • · CSP allowlists Lovable origin
  • · 'lovable' string in JS bundle
1 check needs fixing

1 failed out of 14 that apply to your site.

See top fixes

Quick Wins

Top 1 fixes ranked by score impact

  • 01Fail

    Machine-readable pricing

    +6 pts if fixed

    Publish schema.org Offer / AggregateOffer JSON-LD on your pricing page with price, priceCurrency and the billing period, so an agent can answer "what does this cost?" without scraping prose.

    See full details
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You are helping me raise my AIScan.site agent-readiness score.

Site: https://fastsocialz.com/
Platform: lovable (99% confidence)
AIScan score: 87/100 — Level 4 (Interactive)
Rubric: v2026.08.2

Please implement the fixes below. Where a file already exists (e.g. `public/robots.txt`, `public/llms.txt`), edit it; otherwise create it. After each change, briefly explain what you did so I can verify in the next scan.

### Failing checks
- **[M4] Machine-readable pricing** — FAIL
  - Evidence: no JSON-LD Offer found on /pricing or the homepage
  - Fix: Publish schema.org Offer / AggregateOffer JSON-LD on your pricing page with price, priceCurrency and the billing period, so an agent can answer "what does this cost?" without scraping prose.

### Constraints
- Do not change visible UI or copy.
- Keep changes additive and reversible.
- Prefer static files in `public/` over server routes when possible.
- For `llms.txt`, generate a real index of the site's most important pages.

How this score is calculated

Every check earns points against a weight. We divide the points you earned by the points that actually apply to a Lovable — so checks that don't apply never drag you down.

Essential
31 / 37 pts

Baseline every site should meet.

Recommended
28 / 28 pts

Strong signals most sites benefit from.

Bonus earned
0 signals

Emerging standards. Can only add points.

Not counted (7): B1, B3, P2, P3, M1, M3, E5 — either not applicable to this site profile or optional and not yet adopted. Expand any check to see the exact evidence we based it on.

Discoverability

100

Can agents find your pages? robots, sitemaps, llms.txt.

5

Content

100

Can agents read your content cleanly? Markdown, structured data.

4

Bot Access

100

Are AI crawlers explicitly allowed or blocked?

1

Capabilities

100

Can agents do things? APIs, auth, MCP, Agent Skills.

3

Commerce

0

Can agents transact? Catalogs, checkout, agentic commerce.

1
  • Your site is missing this right now, so AI agents can't use it. The fix below is what to change.

    ID · M4

    What we found

    no JSON-LD Offer found on /pricing or the homepage

    How to fix it

    Publish schema.org Offer / AggregateOffer JSON-LD on your pricing page with price, priceCurrency and the billing period, so an agent can answer "what does this cost?" without scraping prose.

    ⚡ Fix automatically with AIScan

    Option A — Agent Skill (any agent runtime)
    Install the AIScan skill in one command:
    ```
    npx add-skill https://aiscan.site/aiscan-skill.json
    ```
    Or download it directly: https://aiscan.site/aiscan-skill.json
    Then ask your agent: "Fix the failing AI readiness checks for <your-url>"

    Option B — Claude Code skill (CLAUDE.md)

    1. Download CLAUDE.md from https://aiscan.site/CLAUDE.md and place it in your project root.
    2. Ask Claude Code: "Fix the failing AIScan checks for <your-url>" — it reads the skill, calls our API, and applies the fix.

    Option C — MCP (Claude Desktop, Cursor, or any MCP client)

    • Endpoint: https://aiscan.site/api/mcp
    • Tools: scan_website, get_fixes, get_grade
    • Call get_fixes with your URL for machine-readable fix instructions.

    Option D — REST API
    ```
    GET https://aiscan.site/api/public/scan?url=YOUR_URL
    ```
    Returns the full report with all checks and fix details.

    Re-scan at https://aiscan.site to verify after applying fixes.

    This is a Lovable project

    Edit files directly in the Lovable editor, or ask Lovable AI to apply these changes. Static files like robots.txt, llms.txt, and .well-known/* belong in the public/ folder — they're served from the site root automatically.

    Add Offer JSON-LD to your pricing page

    One block per plan (or one AggregateOffer covering the range) so an agent can answer "what does this cost?" without reading prose.

    Example

    <script type="application/ld+json">
    {
      "@context": "https://schema.org",
      "@type": "Product",
      "name": "Pro",
      "offers": {
        "@type": "Offer",
        "price": "12.00",
        "priceCurrency": "USD",
        "priceSpecification": {
          "@type": "UnitPriceSpecification",
          "price": "12.00",
          "priceCurrency": "USD",
          "billingDuration": 1,
          "billingIncrement": 1,
          "unitCode": "MON"
        },
        "availability": "https://schema.org/InStock",
        "url": "https://example.com/pricing"
      }
    }
    </script>

    Keep it truthful

    The structured price must match the price a human sees; agents will quote it.

    Verify

    After deploying, re-scan at https://aiscan.site. You can also test with curl -I or curl directly.

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