Entity Level Authority audits whether AI systems can retrieve and cite your firm. When prospective clients ask ChatGPT, Perplexity, Gemini, or Claude for help finding a lawyer, the firms that appear in the answers are the ones whose sites AI crawlers can read, whose identity AI systems can verify, and whose authority third-party sources corroborate. We measure all three.
We run a structured audit on your firm's site and report a composite AI Search Visibility Score with seven sub-scores covering crawler access, technical foundations, LLM discoverability, citability, platform readiness, content quality, and structured data. Each sub-score maps to specific remediation work. You receive a detailed report identifying which architectural and entity signals are weak, which are strong, and what to fix first.
The audit is grounded in a three-layer model: retrieval mechanics (can crawlers reach and read your content), entity recognition (can AI systems verify who your firm is), and governed retrieval (when AI systems cite, are you a credible source). We measure the first two directly from public HTML. The third we explain honestly: no vendor controls it directly, but Layer 1 and Layer 2 strength make citation more likely.
Entity Level Authority is built for plaintiff trial firms. Personal injury, mass tort, product liability, premises liability, medical malpractice, and adjacent practice areas where prospective clients increasingly consult AI systems before reaching out. The audit framework applies to other professional service categories, but the methodology, terminology, and reference baselines are calibrated to plaintiff legal work.
Firms that benefit most: those with established practices and credible track records that aren't yet appearing in AI search answers for the queries their prospective clients are running. The audit identifies whether the gap is architectural (the site is opaque to AI crawlers) or substantive (the site is readable but doesn't make the firm's identity and authority clear to AI systems).
The audit examines crawler-visible HTML, structured data markup, internal linking, schema entity graph, third-party corroboration signals, and content quality indicators across priority pages on your site. Each finding includes evidence and a specific remediation step. The report is written for marketing directors and operations leads, not for SEO specialists alone.
For the full methodology, see The Three-Layer Model. For documented case work on our own site, see Phase 1 and Phase 2 of the ELA self-audit series.
Entity Level Authority is built by Paul Joseph Bruemmer, an SEO practitioner since 1994, when search engines were still a new idea. Over the last three decades, Paul guided organizations including NASDAQ, the IRS, the Council on Foreign Relations, and Overstock.com through every major shift in how search works — from directory submissions to PageRank, from keyword matching to semantic search, and now to AI-generated answers. The through-line across all of it: the businesses that show up are the ones structured to be understood. That was true in 1994. It is still true today — just with different tools doing the reading.
AI Search Visibility is the measurable degree to which AI systems — ChatGPT, Perplexity, Gemini, Claude, and similar — can retrieve, recognize, and cite content from your firm's site when answering prospective clients' questions. It depends on whether AI crawlers can access route-specific content (Layer 1), whether AI systems can verify your firm's identity and authority (Layer 2), and whether your pages are treated as credible sources in specific answer contexts (Layer 3).
Traditional SEO optimizes for Google's organic search results — keyword targeting, backlink profiles, on-page signals tuned for ranking algorithms. AI Search Visibility optimizes for retrieval and citation by large language models grounded in web content. The mechanics overlap but diverge in important ways: AI systems weight entity recognition and structured data more heavily, weight raw backlink count less, and reward focused topical depth and authorship clarity in patterns that classical SEO often missed.
No. No vendor can. AI citation in any specific session depends on the model's internal grounding, the user's prompt phrasing, the platform's policies, and other factors no third party controls. What we audit and remediate is whether your firm's site is retrievable and citable — making your firm a credible candidate when AI systems are choosing between sources.
Entity Level Authority is founded by Paul Joseph Bruemmer, an SEO practitioner since 1994. Over three decades, Paul has guided organizations including NASDAQ, the IRS, the Council on Foreign Relations, and Overstock.com through every major shift in how search works. The audit methodology and case study series are publicly documented and continuously refined.
The complimentary AI Search Visibility Audit is available at /ai-search-visibility-audit. The audit covers crawler-visible content extracted from public HTML and returns a structured report with score, sub-score breakdown, and remediation priorities.
See whether AI systems can retrieve and cite your firm. Request a complimentary AI Search Visibility Audit for your firm. Findings include sub-score breakdown, specific remediation priorities, and a copy of the audit report.