Case Study  /  Beecasso Bee Removal

Beecasso was one of the most recognized bee removal names in Southern California. Online, almost no one could find them.

How SMPL rebuilt a 20-year business into a structured, machine-readable visibility system, and what 30 days of real data already show.

The results, 30 days in

Five numbers, every one traced to a source.

30 days in, the foundation is built and the data is already moving. These numbers are still early, but they are real and already climbing. The full climb for a young site typically lands around the 90-day mark; here is where it stands now.

Named by AI answer engines

7-engine scan across ChatGPT, Claude, Perplexity and 4 others. Dated early-July 2026 snapshot, now named by Claude and ChatGPT.

0 of 7 2 of 7

Their brand name on Google

#11.2 #1.47

Average position, Search Console. Page 2 to the top of page 1.

Customer searches answered

15 326

Unique queries, Search Console. About 22x more.

Rebuilt site vs the old one

old site +120%

Clicks over a matched window, at a higher click-through rate.

Calls from Google

1x ~3x

Google Business Profile, year over year, off an early base.

Search views ~13x year over year Local search share 65%96%

The indexation engine is still loading: indexed pages have doubled from 42 to 84, with 166 more discovered and pending.

The company

The reputation was never the problem.

Beecasso Live Bee Removal had the reputation. 20 years of live, humane removal and relocation, thousands of hives moved, and the kind of recognition most local operators never get: Inside Edition, LA Magazine, the Twisters production at Universal, and Diane Keaton. The business was the real thing, and the work backed it up.

The problem was that the internet did not reflect any of it. Search their own name and they sat on page 2 of Google. Ask ChatGPT or Claude who to call for bees in Los Angeles and they named exactly none of them. The reputation lived in the real world and almost nowhere a new customer actually looks.

This is the story of the 30 days after we fixed the structure underneath the business, and the early numbers that are already moving. Beecasso is an established Southern California operator with a genuinely uncommon brand: live, humane bee removal and relocation built by an artist and beekeeper, backed by more than 20 years in the field, thousands of relocated hives, and sanctuary partners. The recognition was real and documented, spanning national television, print, a major studio production, and high-profile names.

Diane Keaton Universal • Twisters Inside Edition LA Magazine
A verbatim quote from the Beecasso team will appear here.

Reserved for Beecasso

What we changed

An aging brochure became an answer engine.

The old site was a typical aging local-business presence, and it was failing in three ways that compounded on each other.

It was invisible where demand already existed. For a full year, Google was showing Beecasso to searchers thousands of times a month and almost nobody was clicking, because the site sat at an average position around 19 across its pages, on page 2. Its single biggest page pulled thousands of impressions and 8 clicks. The demand was provable. The capture was not happening.

It was absent from the answer engines entirely. A 7-engine scan across ChatGPT, Claude, Perplexity, and 4 others returned a starting score of 29 out of 100, grade F, with zero presence. For the 2 highest-intent questions, "bee removal Los Angeles" and "how much does bee removal cost," the business showed up in 0 of 7 engines. The assistants confidently recommended competitors instead, because those competitors' sites were structured to be read and Beecasso's was not.

It gave customers, Google, and the answer engines nothing to understand. Fragmented service information, no real geographic architecture, thin answer surfaces, and a brand identity that competed with the service instead of supporting it.

A prettier homepage would not have moved any of this. The gap was structural.

SMPL built Beecasso a visibility system. Here is what went into it.

A real service architecture. Distinct pages for residential, commercial, emergency, attic, bees-in-wall, and swarm removal, each written to an actual buyer intent instead of one generic "bee removal" catch-all.

A geographic system built to expand. A state, county, and city hierarchy with genuinely localized content across California (Los Angeles County and Orange County, roughly 29 cities). The same architecture stood up a second market, the Nashville metro in Tennessee, without a second site.

An answer-engine content layer. A 25-question FAQ system, a 12-type identification guide, and a resource hub of articles across both states. These are the direct answer surfaces buyers and answer engines actually read.

A qualified-lead funnel. A photo-estimate intake (ZIP, service type, contact, up to 5 photos) that pre-qualifies jobs instead of pushing everyone through a generic contact form.

An entity and technical foundation. Structured data, a clean migration that preserved the old URL equity with redirects, sitemap and robots, analytics and Search Console, and a brand-versus-service separation so the artistic identity supports the business instead of burying it.

What had been an aging brochure of about 21 pages became a 218-URL structured site.

Before

Invisible where it counted

  • Page 2 of Google for their own brand name
  • Cited by 0 of 7 AI answer engines
  • An aging 21-page brochure site

After

A structured answer engine

  • A 218-URL structured build, matched to how buyers ask
  • Answer surfaces the AI engines can actually cite
  • Named by Claude and ChatGPT, on a dated July snapshot

The honest trajectory

Shown, not yet chosen. Then chosen.

This is the part worth understanding before you judge any visibility work by week one. Ads rent attention: the moment you stop paying, you disappear. Search and answer-engine visibility is what stays when the spending stops, and it is earned on a curve, not switched on. Right now Beecasso is being shown. Over the next 60 to 90 days, the work is getting them chosen. We report the curve honestly at every step, which is why the numbers you just read are early and small in absolute terms and still worth putting our name next to.

Shown, not yet chosen Getting chosen Day 30 · you are here Day 0 30 60 90
Measured to day 30 Projected to day 90

Why it matters

We rebuilt how Beecasso is understood: by a homeowner with bees in the wall, by Google's crawler, by an answer engine, and by the directories that feed both. The same structure that helps a customer land on the right service page is what lets an answer engine recognize the business, trust it, and cite it. Because it was built as a system, the same architecture stood up a second market, the Nashville metro in Tennessee, without a separate site.

Earned, not manufactured.

There are two ways to show up in the answer engines. One is to buy or fake the signals: aged accounts, rented mentions, manufactured citations. The other is to earn them: real structured answer surfaces, genuine content, and real participation the business does as itself, under its own name. We build the second kind, and only the second kind.

Earned placement compounds over time. Manufactured placement gets purged the moment a platform cleans house.

When Beecasso gets named by an engine like Claude or ChatGPT, it is because the engine actually read the business and decided it was the right answer.

How we measure

Every number here traces to a source you can check.

We do not claim numbers we cannot prove. Every figure on this page traces to a first-party source: Google Search Console, a repeatable 7-engine visibility scan across ChatGPT, Claude, Perplexity, and 4 others, and the Google Business Profile.

  1. Search. Google Search Console export, on a fixed schedule.
  2. AI citations. A weekly scan, three questions across seven engines.
  3. Calls and views. Straight from the Google Business Profile.

Here is the honest read of where a 30-day-old system sits. The structural wins above are real and already landed. The answer-engine citations are early: for the broad "bee removal Los Angeles" question, the engines still tend to lead with older, more established competitors, and some do not name Beecasso yet. That is exactly where a business should be about a month in. These engines take time to trust and cite a site, and the real climb tends to arrive around 90 days. What the July scan shows is the first genuine sign of that starting.

See your own starting line

Want to see where the answer engines currently place your business?

Every SMPL engagement starts with a $499 AI Visibility Report: a scan of where you actually stand across ChatGPT, Claude, and the other answer engines, and whether the gap is technical, structural, content, or entity. Builds of the depth you just read are scoped as visibility-infrastructure engagements, beginning in the low five figures and scaling with your locations, service complexity, and the condition of what you have now.