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Which personal injury lawyers does AI recommend?

The AI Recommendation Index for Personal Injury Lawyers is being prepared. Rankings will be published once the first monthly run is complete. Each run submits buyer-intent queries to ChatGPT, Claude, Perplexity, and Gemini, and records which businesses are recommended.

Live rankings

Monthly recommendation data, city by city.

60 buyer-intent prompts per city, every month, across ChatGPT, Claude, Perplexity, and Gemini. Read full methodology →

No live city rankings yet. Check back soon.

Tracking next

These rankings will be live once data lands. Sign up on any city page to be notified.

  • Australia: Melbourne, Perth, Canberra, Adelaide, Sydney, Brisbane, Gold Coast

How the rankings are built

Four AI platforms

We query ChatGPT (via OpenAI), Claude (via Anthropic), Perplexity, and Gemini (via Google) each month using web-search-enabled API access to match consumer behaviour. This approach matches how real buyers interact with AI when asking for recommendations.

Sixty queries per city

Every city run submits 15 distinct prompts combining buyer framings: 'who should I hire', 'best', 'most recommended', and specific variants. Each prompt runs on all four platforms, giving 60 total responses per city per month.

Two scores

Businesses rank by ARS (AI Recommendation Share: raw mention rate) and CIS (Composite Index Score: weighted by frequency, platform coverage, position, and citation quality). Scores from real responses, never modelled or inferred.

Metric definitions

AI Recommendation Share. The percentage of tracked queries in which a business was named across the four AI platforms. A 48% ARS means the business appeared in responses to 48 of every 100 queries run. ARS is the primary ranking signal because it directly measures how often AI recommends a firm to buyers.

Composite Index Score. A weighted combination of four signals: recommendation frequency (50%), platform coverage (25%), position in results (15%), and citation context quality (10%). CIS rewards consistency of recommendation across platforms, not just raw volume. A firm with a high ARS but mentions on only one platform will score lower CIS than one with a moderate ARS across all four.

Ranked here?

Ranked in the top 3 in any city?

Your business is being recommended by AI more than almost every competitor. We produce a category leader pack with the data, quotable findings, and a press-ready certificate you can share with clients or journalists.

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Not at the top, or not listed?

Most businesses never appear in AI responses. If you are below rank 10 or not listed, AI is handing your potential clients to the firms ranked above you. We measure where you stand, why, and what to fix.

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Questions people ask AI about this

The AI Recommendation Index is a monthly dataset showing which personal injury lawyers are recommended by ChatGPT, Claude, Perplexity, and Gemini. We run 60 distinct buyer-intent prompts per city on each platform every month. Every business either appears in a response or does not. No modelling, no inference, no paid placement.

Four platforms: OpenAI's ChatGPT, Anthropic's Claude, Perplexity, and Google Gemini. Each uses a different training approach, different retrieval system, and different citation handling. Tracking all four gives a more accurate picture of which personal injury lawyer firms are recommended consistently rather than on a single platform.

Monthly. Each city is re-run at the start of every month with the same prompt set, giving month-on-month movement data. Research from the Princeton GEO paper (KDD 2024) showed AI recommendations shift as training data, retrieval, and underlying search indexes update, so monthly cadence is required to detect genuine change versus noise.

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