My recommendation is a full rebuild — the current site has too many foundational gaps to fix piece by piece, and starting fresh is the faster path to a site that actually brings you business.
- You're invisible where it counts: AI search engines name zero of three results for you and actively recommend American Family instead, so the people looking for insurance in your area aren't finding you at all.
- The content doesn't sell you — blog pages read like generic filler with no call to action, and nothing on the site explains what makes Anchor different from every other broker, which is the one thing that wins a local customer.
- The fundamentals are dated and working against you: slow load times, a 69 mobile performance score, stock imagery, and a carrier page that's just a wall of logos all quietly tell visitors you're behind the times.
- You're spread too thin geographically with no local depth — a rebuild lets us focus on Hudson and surrounding towns with dedicated local area pages, which is exactly what helps you rank and feel like the neighborhood expert.
- A fresh build lets us add the tools that turn visitors into calls — a cost estimate calculator, live chat, and proper tracking on phone-number clicks so you can finally see what's driving leads.
In AI search it is effectively invisible — named in none of the answers tested across 3 assistants, with American Family Insurance recommended in its place.
- No LocalBusiness/Organization schema found
- No Person schema — team credentials invisible to AI
- 0 service pages, 0 blog posts
- Average 0 words per page (whole page, incl. menus/footer)
- 1 total pages crawled
- 1 thin pages (<300 words)
- No Review/AggregateRating schema found
- No FAQ content or schema found
- Schema coverage: 0% of pages
- AI Visibility Score: 0%
- Cited by 0 of 3 AI engines tested
Good news: none of the 9 major AI crawlers are blocked in robots.txt. Access is not the bottleneck — content and authority are.
| Query | ChatGPT | Claude | Gemini |
|---|---|---|---|
| Business & Commercial Insurance | OMITTED | OMITTED | error |
| Public Livery Insurance | OMITTED | OMITTED | error |
| Auto Insurance | OMITTED | OMITTED | error |
| Life Insurance | OMITTED | OMITTED | error |
| Recreational Vehicle Insurance | OMITTED | OMITTED | error |
Each query was asked 3× per engine to average stochastic output; cells show mentions / runs.
When asked for Insurance Broker in Hudson, WI, these are the businesses the AI engines named — while omitting Anchor Insurance entirely. Ranked by how many engines recommend them and how often.
These competitors have the entity, content, and validation signals the engines currently trust. The fixes in this report are what close that gap.
Not provided — pass --gsc <queries.csv> [pages.csv] to include Search Console data.
All keywords this site currently ranks for on Google, organized by position.
Intent labels (HIGH / MEDIUM / LOW) indicate commercial intent — the likelihood a searcher is ready to buy.
+16 more
This site is cited by none of the 3 AI engines for any of its 5 Google page 1–2 keywords. The highest-volume gaps are shown below.
Intent labels (HIGH / MEDIUM / LOW) indicate commercial intent — the likelihood a searcher is ready to buy.
High-intent money queries this business is not ranking for at all on Google or in AI search.
- Business & Commercial Insurance HIGH
- Public Livery Insurance HIGH
- Auto Insurance HIGH
- Recreational Vehicle Insurance HIGH
These queries represent significant untapped revenue opportunity. With proper AI-optimization and targeted content, ranking for these terms is achievable — and AI citation typically follows within 60–90 days of achieving page 1 Google visibility.
Not run — this section needs local areas (the towns served) and services. Add them in the Advanced section of the form (or they fill in automatically once the site can be crawled).
| Page | Citability |
|---|
Full per-page scores for all 0 service pages are in audit-data.json.
Every service page has at least a couple of internal links pointing to it.
Inbound-link counts are measured across the crawled pages; a page linked only from an un-crawled page may read as weaker than it is.
No Search Console or analytics data was provided, so the opportunity isn't reduced to a single dollar figure — without measured impressions that would be guesswork. Provide a GSC export (--gsc queries.csv) for a grounded estimate.
All revenue estimates are projections based on industry benchmarks and the business's current market position. Actual results vary based on competition, implementation quality, market conditions, and the speed and completeness of recommended changes.
- Expand 1 thin content pages to 800+ words.
- Add Person schema with credentials for each team member.
- Extend schema coverage from 0% toward 100% of pages.
- Fix 1 weakly-linked pages with contextual internal links.
AI search is not a one-time fix. The engines behind ChatGPT, Claude and Gemini retrain continuously — businesses that stop after initial fixes gradually lose ground to competitors who keep building.
- Continuous content gap monitoring as AI engines evolve (monthly)
- Quarterly entity and authority signal audits
- New content creation targeting emerging queries (monthly)
- Competitor citation monitoring — track which businesses AI engines recommend and why (monthly)
- Directory and validation signal maintenance (ongoing)