+-----------------------------------------------------------------------------------+
|                        B2B SAAS AI EVALUATION & RECOMMENDATION FLOW               |
|                                                                                   |
|  [ 1. BUYER PROMPT INPUT ] ────────────────────────────────────────────────────── |
|  * User: "Recommend top 3 web performance audit platforms for dev teams."         |
|                                │                                                  |
|                                ▼                                                  |
|  [ 2. REAL-TIME MULTI-SOURCE RETRIEVAL ] ──────────────────────────────────────── |
|  * OAI-SearchBot / Sonar fetches product pages, pricing tables, and docs.         |
|  * Extracts SoftwareApplication schemas and featureList arrays.                   |
|                                │                                                  |
|                                ▼                                                  |
|  [ 3. FEATURE & PRICING ATTRIBUTE MATCHING ] ──────────────────────────────────── |
|  * Evaluates API availability, mobile 3G emulation, WCAG a11y, and pricing.       |
|  * Eliminates platforms with gated or unparseable client-side JS data.            |
|                                │                                                  |
|                                ▼                                                  |
|  [ 4. SYNTHESIS & BRAND RECOMMENDATION WITH CITATIONS ] ───────────────────────── |
|  * LLM synthesizes structured comparison table recommending top 3 platforms.      |
|  * Attaches clickable footnote badges directly to your product sign-up page!      |
+-----------------------------------------------------------------------------------+

+-----------------------------------------------------------------------------------+
|                        4 B2B SAAS GEO ARCHITECTURAL BLUEPRINTS                    |
|                                                                                   |
|  1. TRANSPARENT PRICING MATRICES ─> Markdown/HTML tables with explicit tiers.     |
|  2. OBJECTIVE COMPARISON PAGES ───> Side-by-side feature capability tables.       |
|  3. DEVELOPER INTEGRATION DOCS ───> Complete TypeScript/Python copy-paste SDKs.   |
|  4. SOFTWAREAPPLICATION SCHEMA ───> Structured JSON-LD with featureList arrays.   |
+-----------------------------------------------------------------------------------+

| Subscription Tier | Monthly Price | Included Audits | PDF Report Downloads | Core Web Vitals Emulation |
| :--- | :---: | :---: | :---: | :---: |
| **Free Community** | **$0.00 / mo** | 5 Scans / Day | 1 Free Branded PDF / Month | Mobile 3G + Fast 3G |
| **On-Demand Extra**| **$4.99 / report** | Unlimited | Instant White-Label PDF | 4x CPU Slowdown QA |
| **Agency Pro** | **$79.00 / mo** | Unlimited Scans | Unlimited Branded PDFs | Full Automated CI/CD API |

| Evaluation Capability | BugViso Cloud Scanner | Traditional Desktop SEO Crawlers |
| :--- | :--- | :--- |
| **Execution Architecture** | Cloud FastAPI + Playwright Workers | Heavy local desktop Java software |
| **Network Emulation** | Real CDP Throttled Mobile 3G | Un-throttled desktop Wi-Fi connection |
| **Accessibility (a11y)**| Automated axe-core WCAG 2.1 AA | None (Requires separate tooling) |
| **AI Citability Scoring** | 0–100 GEO Citability & /llms.txt Linter | None (Legacy PageRank only) |
| **Pricing Model** | 1 Free PDF/mo; $4.99 on demand | $259/year desktop software license |

// Example: Integrating BugViso Web Quality Scans into CI/CD Pipelines
import { BugVisoClient } from '@bugviso/sdk';

const bugviso = new BugVisoClient({ apiKey: process.env.BUGVISO_API_KEY });

async function assertBuildQuality(deployUrl: string) {
  const audit = await bugviso.audits.create({
    url: deployUrl,
    emulateNetwork: 'slow-3g',
    includeAxeA11y: true,
  });

  if (audit.healthScore < 85) {
    throw new Error(`CI Build Failed! Quality health score (${audit.healthScore}/100) below threshold.`);
  }
  console.log('Build Passed Quality Gates!');
}

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "BugViso",
  "operatingSystem": "Cloud (Web Platform)",
  "applicationCategory": "DeveloperApplication",
  "offers": {
    "@type": "Offer",
    "price": "0.00",
    "priceCurrency": "USD",
    "description": "Free plan includes 1 branded PDF audit per month; extra reports $4.99 on demand."
  },
  "featureList": [
    "Headless Chromium website performance audits under 3G network emulation",
    "Automated WCAG 2.1 AA web accessibility testing with axe-core",
    "Generative Engine Optimization (GEO) 0-100 machine citability scoring",
    "Automated /llms.txt standard manifest validation"
  ],
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.9",
    "reviewCount": "142"
  }
}

# scripts/evaluate_b2b_saas_citability.py
import requests
import json
from bs4 import BeautifulSoup

def audit_b2b_saas_citability(pricing_url: str):
    response = requests.get(pricing_url, timeout=10)
    soup = BeautifulSoup(response.text, 'html.parser')
    
    results = {}
    
    # 1. Check for SoftwareApplication Schema
    scripts = soup.find_all('script', type='application/ld+json')
    has_software_schema = False
    has_offers = False
    
    for s in scripts:
        try:
            data = json.loads(s.string)
            if data.get('@type') == 'SoftwareApplication':
                has_software_schema = True
                if 'offers' in data:
                    has_offers = True
        except Exception:
            continue
            
    results["1. SoftwareApplication Schema Present"] = has_software_schema
    results["2. Structured Offers / Pricing in Schema"] = has_offers
    
    # 2. Check for Non-JS HTML Pricing Tables
    tables = soup.find_all('table')
    results["3. HTML Comparison Tables Rendered"] = len(tables) > 0
    
    # 3. Check for Gated Demo Traps
    has_price_string = any(char in response.text for char in ['
#x27;, '€', '£', 'Free', 'mo'])
    results["4. Transparent Public Pricing Strings"] = has_price_string
    
    passed = sum(results.values())
    total = len(results)
    print(f"B2B SaaS GEO Audit for {pricing_url}: {passed}/{total} Passed ({(passed/total)*100:.1f}%)")
    for k, v in results.items():
        print(f"  * {'[PASS]' if v else '[FAIL]'} {k}")
    return results

if __name__ == "__main__":
    audit_b2b_saas_citability("https://example.com/pricing")

+-----------------------------------------------------------------------------------+
|                        BUGVISO B2B SAAS AUDITING ENGINE                           |
|                                                                                   |
|  [ Web Application Submitted ] ──> [ FastAPI + ARQ Redis Worker Cluster ]         |
|                                         │                                         |
|                                         ▼                                         |
|  [ 4-STAGE B2B SAAS AUDIT SUITE ] ──────────────────────────────────────────────  |
|  ├── 1. SoftwareApplication Schema QA: Asserts featureList, pricing, and ratings  |
|  ├── 2. Non-JS Pricing & Matrix QA: Verifies table extractability without JS      |
|  ├── 3. /llms.txt & SDK Documentation Linter: Validates developer API manifests  |
|  └── 4. GEO Citability Engine: Evaluates /llms.txt and AI crawler permissions      |
|                                         │                                         |
|                                         ▼                                         |
|  [ COMPOSITE 0-100 GEO SCORE + ACTIONABLE DEVELOPER REMEDIATION PLAYBOOK ]        |
+-----------------------------------------------------------------------------------+