Bizl How It Works

Core Messaging / Positioning

"You run the audit. We handle everything else."
"Most tools show you the problem. We fix it." — core differentiator vs dashboard-only competitors (direct shot at BrightLocal/Whitespark-style tools).
"Bizl is different. We are a done-for-you service. Our team does the citation building, the schema installation, the GBP optimization. You get the results without doing the work."

Free audit: enter business name, city, category → system runs "240 prompts across all five AI engines," checks citations vs "120 directories," compares to top local competitors → returns AI Visibility Score, where invisible, what competitors own, estimated monthly revenue impact. No credit card.
Foursquare claim: "within 48 hours of signing up, it is claimed, verified, and optimized." "provides roughly 70% of the local business data ChatGPT uses."
Simultaneously begins submitting to "all 300+ directories with perfectly consistent NAP data." (FLAG: 300+ here vs 120+ on FAQ — same inconsistency.)
Schema: "We write, validate, and install it. You do not need to understand how it works." Validated JSON-LD.
GBP: "Most businesses have 30 to 50% of their GBP fields empty or generic." Bizl completes every field with AI-optimized content, full services list, payment methods, Q&As, photo captions, business description.
Weekly: "Every week we run fresh scans across all five AI engines, alert you to any competitor visibility changes, and update your optimization."
Monthly: "Once a month you receive a plain-English report showing every action we took, every score change… Five minutes to read the whole thing."
FLAG: "estimated monthly revenue impact" in audit — methodology undisclosed; likely modeled, not measured.

Not priced here; funnel is free audit → managed plans (Get Found $1,995 / Stay Found $995/mo per FAQ).

Five steps, Bizl handles four:

You: Run free audit (4 min, no card).
Bizl: Claim + optimize Foursquare (48 hrs) + begin 300+ directory submissions with consistent NAP.
Bizl: Write/validate/install JSON-LD schema.
Bizl: Complete GBP (every field, services, Q&As, captions).
Bizl: Weekly scans + monthly plain-English PDF report.

"Once the foundation is built, Bizl runs a consistent monthly cycle that compounds your AI visibility over time."

Explicit "What you do / What we do" split — clarifies the DFY boundary and lowers perceived effort.
"Most tools show you the problem. We fix it." is a sharp competitive wedge against self-serve SEO tools.
Concrete timelines (48 hrs Foursquare, weekly scans, monthly 5-min report) build confidence.
"No dashboards to learn. No jargon." — anti-complexity positioning.

Silent Customer Loss: The audit explicitly shows "where you are invisible" and "what your competitors own" — directly the discovery-failure narrative DOP targets.
Evidence quality: 240 prompts, 120/300+ directories, 70% Foursquare, "30–50% of GBP fields empty" — all asserted without source. "Estimated monthly revenue impact" is modeled, not measured (flag as indicative).
Human supervision vs black-box: Bizl's pitch is the opposite of human-supervised partnership — "You get the results without doing the work." DOP's human-approved, agent-assisted model is the contrasting stance; Bizl's strength is removing client effort entirely, DOP's is client control + human judgment.
PoC-style entry: Free audit = PoC hook (shows the problem + revenue impact estimate) → paid setup. Mirrors DOP's Cold Audit → PoC.
Conversion patterns: Low-effort entry ("you run the audit, we do the rest"), anti-jargon, 5-minute report, no dashboards. Strong ease-positioning DOP can learn from.
Differentiation: DOP can win on evidence transparency (show HOW the revenue impact is computed, cite the 240-prompt method) where Bizl hand-waves.