Audited https://talkovlaw.com on 2026-04-30. Scored 78/100 traditional SEO (B) and 79/100 AISO (B) — combined 157/200 (B). Top 5 fixes below; each ships with a copy-paste prompt for Bolt / Cursor / Claude Code.
Strongest signal: Schema (25 pts)
Biggest gap: Content depth
Recommended next step: Implement the top 5 fixes (≈ 4-8 hours of dev), then book a Full Audit ($497-$997) for the prioritized 90-day roadmap.
| Dimension | Score | Notes |
|---|---|---|
| Meta & On-Page | 15 / 15 | Title 54 chars, meta desc 152 chars, H1 count 1, OG tags 10, canonical yes. |
| Content Quality | 12 / 15 | 11298 words, 0 internal / 312 external links, 606/606 imgs with alt. |
| Technical SEO | 13 / 15 | HTTPS confirmed via curl. Viewport meta present. |
| Crawlability & Indexing | 10 / 15 | robots.txt present, sitemap MISSING. |
| Structured Data / Schema | 11 / 15 | 1 JSON-LD blocks. Types: Article, BreadcrumbList, EntryPoint, ImageObject, ListItem, Organization, Person, PropertyValueSpecification, QuantitativeValue, ReadAction, SearchAction, WebPage, WebSite. |
| Local SEO | 10 / 10 | N/A unless this is a local business. |
| Competitor Comparison | 5 / 10 | Competitor research not run (provide KEYWORD to enable). Default 5/10. |
| Backlinks & Authority | 2 / 5 | Backlink scan deferred — provide BRAND to run web_search-based authority probe. |
| Category | Weight | Score | Notes |
|---|---|---|---|
| Structured Data & Schema | 20% | 14 / 20 | Schema types: Article, BreadcrumbList, EntryPoint, ImageObject, ListItem, Organization, Person, PropertyValueSpecification, QuantitativeValue, ReadAction, SearchAction, WebPage, WebSite. |
| Content Structure for AI Citation | 25% | 25 / 25 | 10 of 26 H2-H4 are question-style. |
| E-E-A-T Signals | 15% | 10 / 15 | Author signal: yes. Updated date: yes. .gov/.edu citations: 0. |
| llms.txt & AI Crawler Signals | 10% | 4 / 10 | Blocked AI bots: none. /llms.txt: 0B. /llms-full.txt: 0B. |
| Content Freshness & Depth | 15% | 11 / 15 | Word count 11298. Updated date present: yes. |
| Conversational Query Optimization | 15% | 15 / 15 | 10 question-style headings. |
AI engines look for /llms.txt as the canonical 'site summary in Markdown' for citations.
Create /llms.txt at the domain root (https://<DOMAIN>/llms.txt): # <Brand Name> > <One-paragraph what-the-site-does> ## Pages - [Home](https://talkovlaw.com): canonical entry point - [<URL2>]: <description> Then create /llms-full.txt with the same index plus full page bodies.
This is a Quick Scan ($97 – $197). To go deeper: