Injured people are asking AI which lawyer to call. It isn't naming you.

Second-tier presence with strong assets left on the table. Rush sits near the bottom of the exact roundups AI cites and does not surface for its own home-city query, so AI names competitors first, even though its founder carries stronger credentials than most of them.

• High
  Loses its own home-city search

  The firm site did not rank on page one for "personal injury lawyer Novato CA," the most local query in the set and its literal HQ city.
• High
  Bottom of the lists AI actually reads

  Present on both Expertise.com Marin roundups but low: position 14 of 18 on the injury list and 18 of 23 on the car-accident list. On the page, rarely named first.
• High
  Broken structured data pointing at a vendor's domain

  The homepage schema uses a malformed "legalservice" type and references a third-party SEO vendor domain instead of the firm's own, which can break how AI resolves who the site is about. Schema exists; it is defective, not absent.
• Medium
  Missing the schema types AI uses for legal answers

  No FAQ, attorney, or review structured data, despite the firm having a strong founder bio, a testimonials page, and a verdicts page to populate them.
• Medium
  Thin buyer-question content, no llms.txt

  No FAQ pages for AI to quote, a generic homepage headline with no practice or geo signal, and no llms.txt file to guide AI crawlers.

1. Repair and complete the schema foundation. Fix the type, repoint to the firm domain, add attorney, review, breadcrumb, and FAQ markup.
2. Push higher on the pages AI cites. Move from the bottom of the Expertise.com lists toward the top ten, and complete the Yelp and Super Lawyers profiles.
3. Build FAQ and city content that answers buyer questions. Prioritize the Novato and San Rafael queries the site currently loses.
4. Re-test all queries in 30 to 60 days. Confirm the firm has moved from skipped to named.

An excellent website that AI never gets to see. The site is technically strong and the credentials are real, yet the firm is absent from every roundup the engines cite, and its directory profiles are filed under San Francisco instead of San Rafael. Right firm, wrong place in the index.

• High
  Absent from every Marin roundup AI cites

  Verified by direct fetch: not on the Expertise.com injury list, not on the car-accident list, not on the Super Lawyers San Rafael page. This is the single biggest driver of the low score.
• High
  Did not surface for any buyer query

  Across all six flagship queries, directory pages and competitors appeared while the firm did not.
• Medium
  Right credentials, wrong city

  A 10.0 Avvo rating with 47 reviews, a Super Lawyers Rising Star, and a strong Justia profile, all filed primarily under San Francisco, which dilutes relevance for Marin and San Rafael searches.
• Medium
  No llms.txt

  Returns a 404. The rest of the technical foundation is genuinely good: rich schema including FAQ, organization, attorney, and review markup, HTTPS, clean sitemaps, AI crawlers allowed.
• Low
  Thin, split review presence in Marin

  Ratings are excellent everywhere, but review volume sits on the San Francisco listings rather than a San Rafael profile.

1. Publish llms.txt and sharpen the local geo signals. Anchor the strong site to Marin, not only San Francisco.
2. Re-anchor and consolidate the directory profiles to San Rafael. Highest leverage, lowest effort: the credentials already exist.
3. Apply for the Marin roundups AI reads. Expertise.com's two Marin lists and the Super Lawyers San Rafael ranking.
4. Build the San Rafael review base, then re-test. Concentrate the 5.0 rating locally and re-run the queries in 30 to 60 days.

Broad footprint, missing from the pages that crown the "best." Kuvara has an established, multi-location web presence and even shows up in Yelp's Marin top ten, but it is absent from the editorial roundups AI leans on for "best" questions, so it loses the highest-intent searches to competitors.

• High
  Absent from both Expertise.com Marin roundups

  Verified live on both pages. These are exactly the lists that fed competitor names into the flagship AI answer.
• High
  No Super Lawyers San Rafael listing surfaced

  The firm holds an AV Preeminent rating and Avvo awards, so this is a placement gap, not a lack of credentials.
• Medium
  FAQ content exists but is invisible to AI

  The FAQ page has real answers, but carries no FAQ schema, so schema-reading engines cannot extract them as answers.
• Medium
  Thin structured data, no llms.txt

  One generic schema block reused site-wide, no organization or attorney markup, and llms.txt returns a 404.
• Medium
  Signals fragmented across duplicate listings

  Presence spread across eight or more FindLaw pages and several Yelp listings, some marked closed, which splits the authority a single strong profile would hold.

1. Fix the technical foundation. Add FAQ, organization, and attorney schema, and publish llms.txt. The content already exists; the markup does not.
2. Get listed on the roundups AI cites. Both Expertise.com Marin lists and Super Lawyers. This is the core gap.
3. Consolidate the duplicate directory footprint. One strong profile per platform instead of many weak ones.
4. Strengthen reviews, then re-test. Verify the Google profile, grow volume, and re-run the queries in 30 to 60 days.