RealBoosterRLO . MEASURED
RETRIEVAL LAYER OPTIMIZATIONFREE PREVIEW

Measured, not promised. Win the searches AI actually runs.

When a buyer asks ChatGPT, Claude, or Perplexity for a local business, the assistant runs its own web searches and cites what it fetches. We measure those sub-queries every week and build verified pages to win them.

01 . VISIBILITY CHECKERREAD-ONLY PROBE

Is AI recommending your business?

Enter your business to see how many answers cite you, which domains are cited instead, and the exact sub-queries to win.

RETRIEVAL TRACE OUTPUT

Real counts. No invented scores.

Our earlier tool asked assistants without web search, so it measured model memory instead of retrieval. RLO uses official search-enabled APIs for ChatGPT, Claude, and Perplexity to record:

1. How many buyer answers cited or mentioned your domain.
2. Which competitor domains the assistants cited instead of you.
3. Which exact web searches (sub-queries) the assistants ran when you were absent.
02 . TERRITORY SEAT CONFIGURATOR

One product: the exclusive territory seat.

DEFAULT 5 SEATS / TRADE / CITY
WEEKLY MEASUREMENT PLAN20 QUESTIONS x 3 ASSISTANTS x 2 RUNS
“family dentist near me in Metro Vancouver”
“best luxury real estate agent realtor in Ambleside”
“luxury real estate agent realtor in Metro Vancouver accepting new clients”

Seat count per city can only go down to match measured citation capacity. Expected timelines: first AI citations in 4-8 weeks, Google ranking movement in 3-6 months.

Reserve city seat
01 . QUESTIONS

Buyer prompts + Search Console

Up to 20 buyer questions per trade and city, plus real Search Console queries with 10+ impressions.

02 . HARVESTER

ChatGPT, Claude, Perplexity

Official search-enabled APIs only. Two runs per question every Monday to measure retrieval traces.

03 . GAPS

Sub-queries & cited domains

We log the exact web searches the assistants ran when your business was absent, and who they cited instead.

04 . ANSWER BLOCKS

Verified facts on your pages

Direct 50-word sourced answers with FAQPage and LocalBusiness schema. Writer and fact-checker are separate models.