Rate your firm on 20 signals across five dimensions. Your per-dimension and overall readiness score update instantly, with an action plan for your weakest areas.
Educational estimates only — all calculations run instantly in your browser and nothing you enter is sent anywhere. Results are not financial, legal, or accounting advice; actual figures vary by market and firm.
The AI Search Readiness Assessment is a 25-question diagnostic that evaluates your law firm's current position across five dimensions of AI search optimisation: website technical health (5 questions), content depth and topical authority (5 questions), schema markup and structured data (5 questions), Google Business Profile optimisation (5 questions), and AI citation signals — reviews, mentions, and authority links (5 questions). Each dimension is scored out of 20, giving a total readiness score out of 100. The assessment takes approximately 8 minutes to complete.
AI search engines — ChatGPT, Google Gemini, and Perplexity — use fundamentally different ranking signals than traditional Google search. A firm can rank on page 1 of Google while being completely invisible in AI responses, or vice versa. The readiness assessment identifies exactly which dimensions are holding your firm back from AI search visibility and prioritises them by impact. Without this diagnostic, most firms either over-invest in areas that don't move the needle or miss the highest-leverage opportunities entirely.
You receive a personalised PDF report with: your total AI search readiness score (0–100), scores for each of the 5 dimensions, a traffic light status (red/amber/green) for each of the 25 individual criteria, a prioritised 90-day action plan specific to your practice area and current score, benchmark comparison against law firms across North America in your practice area, and an estimated AI search traffic opportunity if you reach a score of 80+.
Entity establishment is the first and most foundational pillar. AI systems cite entities they can confidently identify — if your firm lacks Organization schema, Attorney schema for your lawyers, and consistent entity signals across your website and GBP, AI search engines cannot reliably distinguish your firm from similarly named practices or list you as a credible source. Entity establishment means making your firm unambiguously identifiable to machine learning systems through structured data and consistent NAP (name, address, phone) signals across the web.
FAQPage schema is the second pillar and the single highest-leverage technical implementation for most law firms. When a user asks ChatGPT or Google Gemini a legal question, these systems are trained to surface content structured as direct question-and-answer pairs. A law firm with FAQPage schema across its practice area pages is architecturally optimised for AI citation in a way that firms without it are not. The third pillar is content depth: AI systems require topical coverage, not just topical presence. A single page about personal injury law does not establish authority — 10–15 deep articles covering every major sub-topic of personal injury law does. The fourth pillar is internal linking structure, which tells AI crawlers how your content is organised and which pages represent the authoritative source on each topic. The fifth pillar is your robots.txt allowlist — explicitly permitting GPTBot, anthropic-ai, PerplexityBot, and Google-Extended to crawl your site ensures AI systems can access your content. Many law firm sites inadvertently block these crawlers with overly restrictive robots.txt files, making AI search readiness impossible regardless of content quality. See our Entity SEO hub and AI SEO hub for implementation guides on each pillar.
The consequences of poor AI search readiness are asymmetric: firms with strong AI search presence capture a disproportionate share of high-intent queries, while firms with weak presence are simply absent from the fastest-growing discovery channel in legal services. When a prospective client asks ChatGPT "what should I look for in a personal injury lawyer," the response will cite two or three firms by name — and those firms will receive enquiries from that prospect. Your firm is either one of those cited firms, or it is not mentioned at all. There is no middle ground in AI search responses.
Missed impressions in AI search are invisible: unlike Google Search where you can see your ranking position even when you're not clicking, there is no report showing you how many times ChatGPT or Perplexity answered a legal question and named a competitor instead of you. This invisibility makes the readiness assessment particularly important — it's the only way to diagnose your AI search blind spots before the revenue impact becomes apparent in your intake numbers. Firms that delay AI search optimisation are effectively ceding market share to early movers who will build compounding authority advantages that become progressively harder to close. Book a free strategy call to review your assessment results with an AI search specialist.
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