12,600 AI search impressions in 30 Days for A Personal Injury Firm

Key Result:

  • 12,600 AI search impressions from Google AI Overviews in 30 days
  • Total Clicks growth (+532.14%)
  • Total Impressions growth (+363.47%)
  • Average CTR growth (+33.33%)
  • Average Position improvement (+32.82%)

 


 

The Challenge

This Tampa personal injury firm had a visibility problem. And not a small one.

People were searching for legal help after accidents. Car crashes. Slip-and-falls. Workplace injuries. But this firm wasn’t showing up. Not in Google’s Local Pack. Not in Maps. And definitely not in the AI tools like ChatGPT, Perplexity, or Google AI Overviews that more people now use before they ever pick up a phone.

That last part is what made this case different.

Search behavior has shifted fast. People don’t scroll ten blue links anymore. They ask an AI a question and expect a name. A recommendation. A direct answer. If your firm isn’t in that answer, you don’t exist to that searcher. Simple as that.

The firm also had some foundational issues holding them back. Their Google Business Profile was under-optimized. Their practice area pages weren’t structured for how Google reads and rewards content today. And their local citation profile had inconsistencies that quietly hurt their Maps rankings.

On top of all that, personal injury law in Tampa is brutally competitive. Big firms. Big ad budgets. Firms that have been investing in SEO for years. Walking into that market without a solid strategy isn’t brave. It’s just expensive.

So the goal wasn’t just to rank. It was to become the default answer. The name that comes up when someone in Tampa asks an AI who to call after a car accident.

That’s a much higher bar than traditional SEO.

 


 

Our Approach

When we took this on, we knew standard SEO tactics alone wouldn’t cut it.

Ranking on page one is one thing. Getting cited by AI systems is another. We needed to do both at the same time – and make sure every layer of the strategy fed into the other.

So we ran a combined AI SEO, GEO, and AEO strategy. Three disciplines. One goal. Make this firm impossible to miss, whether someone is Googling, asking ChatGPT, or checking Maps.

Here’s how the work broke down:

Focus Area What We Did
AI SEO Structured content and technical signals so AI models could surface the firm accurately and confidently
GEO (Generative Engine Optimization) Optimized for how ChatGPT and Perplexity pull and cite answers from the web
AEO (Answer Engine Optimization) Formatted content to directly answer common legal questions, raising the odds of the firm being the cited source

These three aren’t separate projects. They overlap constantly. A page built well for Google AI Overviews almost always performs in Perplexity too, because both systems reward the same things – clear writing, trustworthy sourcing, and direct answers.

We also fixed the basics first because none of the AI-layer work matters if the foundation is broken.

Here’s what the full scope looked like:

  • Google Business Profile overhaul – updated categories, added Q&As, fixed inconsistent NAP data across directories, and built a steady review acquisition process
  • Technical SEO fixes – resolved crawl errors, improved Core Web Vitals, cleaned up site architecture, and implemented attorney schema markup
  • Practice area page rewrites – restructured key pages so they ranked, loaded fast, and answered exactly what someone searching for a Tampa personal injury lawyer actually wanted to know
  • Entity optimization – made sure the firm was recognized as a legitimate, authoritative legal entity by Google’s Knowledge Graph
  • Topical content build-out – created content around real questions people ask after accidents in Florida: what to do after a crash, how comparative negligence works, what a typical settlement timeline looks like locally

That last piece mattered a lot. AI systems don’t cite thin content. They cite pages that actually answer questions well. So we wrote content that an AI would want to reference – not for keywords, but for clarity and usefulness.

This approach aligns with what we do across all our law firm SEO work at Crazygraph. We treat rankings as a means to an end. The end is booked consultations and real cases. Everything else is just a number.

 


 

Our Results

The numbers came in fast. Faster than we expected, honestly.

Within the first 30 days, the firm generated 12,600 impressions from Google AI Overviews alone. That’s 12,600 instances where Google’s AI surfaced this firm’s content as part of a direct answer to a real search query.

 

Tampa Personal Injury Firm Became the Default Answer in AI Search. 12600 AI search impression within just 30 days

 

By the end of month three, organic performance achieved significant growth across all key metrics.

GSC dashboard of a tampa based law firm

 

Metric Last 3 months Previous 3 months Change
Total Clicks 177 28 +532.14%
Total Impressions 22.2k 4.79k +363.47%
Average CTR 0.8% 0.6% +33.33%
Average Position 26.4 39.3 +32.82% higher visibility

 

The Local Pack results followed. For their primary target terms, the firm moved into the top three map positions – visibility that simply wasn’t there before we started.

Here’s a quick snapshot of where things stood:

Metric Result
AI Overview impressions (30 days) 12,600
Organic traffic growth (3 months) +532.14%
Local Pack visibility Top 3 for primary target terms
Google Business Profile Fully optimized with active review flow

For a market as competitive as personal injury law in Tampa, that’s a meaningful shift in a short time.

The firm went from invisible to present – across Maps, traditional search, and the AI tools that more people now consult before they ever call a lawyer. That’s what law firm SEO in Tampa looks like when it’s built for how people actually search in 2026.

Not just rankings. Real visibility. Everywhere your future clients are already looking.

 

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Methodology

How we measure AI visibility

What every number in Beaconly means, how it’s calculated, and where its limits are.

Which AI we ask

  • Gemini, through Google’s official Gemini API. Right now Gemini answers from its own knowledge, without live web search, so answers don’t list sources.

  • Every question is asked as a fresh conversation, with no memory or personal history, set to the market (country) you chose.

What we ask

The questions a buyer would ask when looking for what you sell — like “best CRM for a small agency”. We write starter questions from your website; you can edit, delete or add your own. Questions don’t include your brand name, so we measure whether AI brings you up on its own.

Mentioned

Your brand counts as mentioned when its name, one of its other names you added, or its website address appears in the answer as a whole word. The same rule applies to every competitor, so the comparison is fair.

Position

The order in which tracked brands are first named in the answer: 1 means you were named before any tracked competitor. We show how often you’re named first, 2nd–3rd, later, or not at all.

Recommended

Mentioned and described positively. A separate AI step reads each answer and rates how it talks about each brand: positive, neutral or negative.

Visibility and small samples

Visibility is the share of answers that mention you. With fewer than 20 answers a percentage can mislead (1 answer changes it by 20 points), so we show the count instead — for example “3 of 5”.

Perception scores

We ask the AI to compare you with your competitors on the traits you choose, then score what the answer says about each brand from 1 to 10, using only the answer — not our own opinion. “What AI says about you” groups the reasons AI recommends you, its criticisms, and who it prefers instead, counted across your latest tracked answers.

Brand facts check

We ask the AI about your brand directly and compare each factual claim with the facts you gave us. Claims your facts don’t cover are marked “not covered”, never “wrong”.

AI traffic

The snippet on your site counts visits whose referrer is an AI assistant (ChatGPT, Perplexity, Gemini, Copilot, Claude and others), or that carry ChatGPT’s utm_source tag. Some apps hide the referrer, so the real number is usually higher. No cookies are used and no IP addresses are kept.

Page watch

We re-read the pages you watch once a day and look for your brand name, other names, or website address in the page text. Some sites block automated visits; we tell you when we can’t read a page.

Answers vary

AI assistants give different answers to the same question, and API answers can differ from what a signed-in person sees in the app (memory, location, model updates). That’s why we track over time and link every question so you can ask it yourself.

Spotted something wrong?

Email [email protected] with the page or brand, and we’ll look into it.