Content Editor

.coveragerc.reporting

@@ -2,6 +2,7 @@
 source = website_profiling.reporting
 omit =
     */website_profiling/reporting/builder.py
+    */website_profiling/reporting/builder_sections/*
 
 [report]
 show_missing = True

README.md

@@ -37,18 +37,17 @@
 
 # Site Audit
 
-**Open-source SEO crawl and technical audit platform** — self-hosted UI built with **Next.js, Python, and PostgreSQL**.
-
-Repository: [codefrydev/WebsiteProfiling](https://github.com/codefrydev/WebsiteProfiling)
+**Open-source SEO crawl and technical audit platform** — built with **Next.js, Python, and PostgreSQL**.
 
 ## Overview
 
-Site Audit is a self-hosted alternative to commercial SEO audit tools. It runs on your infrastructure, stores data in your PostgreSQL database, and produces transparent technical reports without subscription tiers or gated exports.
+Site Audit is a self-hosted alternative to commercial SEO suites. It runs on your own infrastructure, stores data in your PostgreSQL database, and produces transparent technical reports — no subscription tiers, no gated exports.
 
 **Use cases**
 
 - Technical SEO audits for owned or client properties
 - Crawl analysis with static and JavaScript rendering
+- Content writing and optimization with live SEO scoring
 - Search Console, GA4, and Bing Webmaster integration
 - Agency portfolio management and run comparison
 - Optional AI-assisted analysis over audit data via MCP-compatible tools
@@ -79,7 +78,7 @@ Site Audit focuses on **honest, self-hosted technical SEO**. It is not a drop-in
     <td align="center" width="25%">
       <img src="docs/assets/icon-audit.svg" width="48" alt=""><br>
       <strong>Technical audit</strong><br>
-      <sub>Issues, Lighthouse, on-page checks, workbooks</sub>
+      <sub>Issues, Lighthouse, accessibility (axe), on-page checks</sub>
     </td>
     <td align="center" width="25%">
       <img src="docs/assets/icon-integrations.svg" width="48" alt=""><br>
@@ -94,7 +93,7 @@ Site Audit focuses on **honest, self-hosted technical SEO**. It is not a drop-in
   </tr>
 </table>
 
-Also included: **AI chat** over audit data (optional), **340 MCP tools** (domain-scoped servers), keyword explorer (GSC + on-site), backlinks (GSC Links import), compare runs, and portfolio management for agencies.
+Also included: **AI chat** over audit data (optional), **Content studio** (write &amp; optimize with live SEO scoring), **340 MCP tools** (domain-scoped servers), image SEO, GEO/AEO readiness, keyword explorer (GSC + on-site), backlinks (GSC Links import), compare runs, and portfolio management for agencies.
 
 <p align="center">
   <img src="docs/assets/social-preview.png" alt="Site Audit preview" width="640">
@@ -147,8 +146,6 @@ WebsiteProfiling/
 | `tests/` | Backend tests; `./local-test browser` for Playwright crawl integration |
 | `docs/MCP.md` | MCP server setup for IDE and agent integrations |
 | `data/` | Local secrets and shadow `pipeline-config.txt` (gitignored) |
-| `docker-compose.prod.yml` | Production stack (`POSTGRES_USER`, `POSTGRES_PASSWORD`, `AUTH_SECRET`) |
-| `docker-compose.pull.yml` | Pre-built `WEB_IMAGE` deployment |
 
 For layout details and common development patterns, see [AGENT.md](AGENT.md).
 
@@ -225,6 +222,10 @@ Ask questions about audit data at [http://localhost:3000/chat](http://localhost:
 
 The agent uses the same **340 read-only audit tools** as the MCP server ([docs/MCP.md](docs/MCP.md)), with **dynamic routing** (~45 tools per turn). Responses stream over SSE (`POST /api/chat`). Sessions persist per property (`chat_sessions` / `chat_messages`).
 
+### Content studio (optional)
+
+Write and optimize content at [http://localhost:3000/write](http://localhost:3000/write) with **live SEO scoring** from Search Console and on-page heuristics. Drafts persist per property; an optional AI assist (same providers as AI chat) drafts and rewrites copy. Backed by `/api/content-drafts`, `/api/content/score`, and `/api/content/analyze`.
+
 ## Contributing
 
 Contributions are welcome. See [CONTRIBUTING.md](CONTRIBUTING.md) for setup and pull request guidelines.

src/website_profiling/common.py

@@ -21,6 +21,17 @@
 _wappalyzer_disabled = _tech._wappalyzer_disabled
 
 
+def strip_www_prefix(host: str) -> str:
+    """Remove a single leading ``www.`` label from a host.
+
+    Use this instead of ``host.lstrip("www.")`` — ``str.lstrip`` strips any
+    leading characters in the *set* ``{'w', '.'}``, so e.g.
+    ``"www.washington.edu".lstrip("www.")`` wrongly yields ``"ashington.edu"``.
+    """
+    h = host or ""
+    return h[4:] if h.lower().startswith("www.") else h
+
+
 def detect_tech_wappalyzer(url, html, headers, soup, wappalyzer=None):
     """Detect technologies; syncs wappalyzer module state with this facade for tests."""
     _tech._wappalyzer_disabled = _wappalyzer_disabled
@@ -37,6 +48,7 @@ def detect_tech_wappalyzer(url, html, headers, soup, wappalyzer=None):
     "load_edges",
     "save_edges",
     "strip_crawl_query_params",
+    "strip_www_prefix",
     "normalize_link",
     "parse_link_edges",
     "parse_links",

src/website_profiling/config.py

@@ -37,7 +37,12 @@ def get_str(cfg: dict, key: str, default: str = "") -> str:
 
 
 def get_bool(cfg: dict, key: str, default: bool = False) -> bool:
-    return str(cfg.get(key, default)).lower() in ("true", "1", "yes")
+    raw = cfg.get(key)
+    # Missing or empty value falls back to the default (consistent with get_int/get_float);
+    # an empty string must not silently disable a default-on flag.
+    if raw is None or str(raw).strip() == "":
+        return default
+    return str(raw).strip().lower() in ("true", "1", "yes")
 
 
 def get_int(cfg: dict, key: str, default: int | None = None) -> int | None:

src/website_profiling/content_studio/ai_suggest.py

@@ -34,6 +34,16 @@ def _rule_suggestions(score: dict[str, Any]) -> list[dict[str, Any]]:
                 "type": "term",
                 "source": "rule",
             })
+        elif term.get("status") == "included":
+            count = int(term.get("count") or 0)
+            target = int(term.get("target") or 0)
+            if target and count < target and term.get("importance") == "high":
+                items.append({
+                    "text": f"Use “{term.get('term')}” {target - count} more time(s) ({count}/{target}) to fully cover it.",
+                    "priority": "low",
+                    "type": "term",
+                    "source": "rule",
+                })
     for check in score.get("checks") or []:
         if isinstance(check, dict) and not check.get("pass"):
             items.append({