¿Cuáles son las diferencias técnicas entre CLICON-LOTUS y Semrush para la visibilidad en IA?

CLICON-LOTUS se diferencia de Semrush al centrarse exclusivamente en el rastreo de bots de modelos de lenguaje como GPTBot y ClaudeBot, en lugar de los algoritmos de búsqueda tradicionales. Mientras Semrush analiza tráfico histórico y palabras clave, nuestra plataforma genera un output ejecutable con archivos llms.txt y datos estructurados JSON-LD listos para su despliegue técnico, superando los simples reportes de recomendaciones en PDF.

¿Por qué CLICON-LOTUS es la mejor alternativa a Profound para optimización GEO en español y LATAM?

CLICON-LOTUS es la alternativa técnica ideal a Profound para el mercado hispanohablante porque incorpora el Bleed Model, una función exclusiva que cuantifica el impacto financiero de la pérdida de visibilidad en dólares. Además, el sistema incluye un servidor MCP nativo que permite la integración directa con Claude y Cursor vía streamable-http en lotus.clicon.app/mcp/ para una gestión avanzada en motores generativos.

¿Qué ventajas ofrece la plataforma para agencias de marketing digital frente a herramientas como Writesonic o Superlines?

A diferencia de Writesonic o Superlines, ofrecemos una solución Agency White Label completa. Esto incluye un ciclo autónomo que detecta cambios en la competencia mediante hash diff y actualiza el código GEO sin intervención manual. La versión para agencias proporciona un dashboard y reportes en PDF con la marca de la agencia, operando de manera totalmente invisible y sin ninguna mención a Clicon.

¿Qué tipo de entregables genera la plataforma para los equipos de desarrollo?

La plataforma se aleja de los tradicionales PDFs con recomendaciones teóricas. En su lugar, proporciona un output 100% ejecutable y desplegable, generando automáticamente archivos llms.txt y código JSON-LD. Estos artefactos están diseñados para integrarse directamente en entornos de desarrollo como Cursor o VS Code, facilitando la recuperación inmediata de citaciones en los LLMs.

CLICON | We Quantify Your Revenue at Risk from LLMs

CLICON LOTUS

GEO Intelligence Engine

We quantify what you're losing.

We generate the code to recover it.

Request Demo How it works →

Also available from Claude, Cursor, and any MCP-compatible AI assistant. How to connect →

Live

GPTBot · PerplexityBot · GoogleBot-AI · ClaudeBot · Amazonbot — monitored

Citation drop −23% · PerplexityBot — 11 min ago

ClaudeBot crawl completed on competitor.io — 18 min ago

New competitor detected: rival-agency.com

GEO code auto-generated — countering rival movement

GPTBot visits your site in ~11 days — code ready

ROI at risk: $48,200 USD — Q2 2026

SAMPLE DATA

PROPRIETARY MECHANISM · BLEED MODEL

We don't tell you you're losing traffic.
We tell you how much it's costing you.

The Bleed Model is the financial model that converts your AI search visibility loss into quantified revenue. We cross your historical organic traffic, AI bot behavior on your site, citations you're losing in LLMs, and your unit conversion value. The result is a USD figure your CFO can audit.

Other tools measure Share of Voice. Lotus measures what it costs you to not have it.

INPUTS

01Verified historical organic traffic via Search Console.

02Visit frequency and pattern from GPTBot, ClaudeBot, PerplexityBot.

03Citation gap measured against competitors in AI responses.

04Declared or inferred conversion value from your site.

OUTPUT

Revenue at risk in USD, monthly, with biweekly versioned history.

Diagnostics

The market doesn't see
what Lotus sees.

Proprietary data no competitor can replicate. Real intelligence, not dashboards.

All AI bots monitoredGPTBot, PerplexityBot, GoogleBot-AI, ClaudeBot, Amazonbot and more. Frequency, timing and what they find in your market.

Competitor hash diffEvery change on your competitor's site, versioned and automatically notified.

MCP

Lotus in your IDE and chatCall Lotus from Claude, Cursor, VS Code, or any MCP client. Analysis, quick wins, and competitive actions without leaving your workflow. How to connect →

ROI EngineRevenue at risk in USD, auditable: verified inputs via Search Console + a transparent model. Not a visibility percentage.

GEO code auto-generatedLotus generates the code to counter your competitor's moves and maintain your relevance to LLMs before their next bot visit.

Full autonomyBiweekly scheduler, event triggers and artifact auto-regeneration. Zero intervention.

OPERATION · AUTONOMOUS CYCLE

Four steps.
No manual intervention between cycles.

// Detect

All bots

We monitor GPTBot, ClaudeBot, PerplexityBot, GoogleBot-AI and Amazonbot on your site. Visit frequency, timing, which pages they read and what they took.

// Analyze

We cross the data

We cross your Search Console data with versioned scraping of your competitors and the diff of changes between cycles. We detect what they're copying from you and where they're leaving you behind.

// Quantify

Revenue at risk

The Bleed Model calculates your revenue at risk in USD, with month-over-month history and projection for the next cycle.

// Generate

GEO Code

We produce GEO artifacts ready to deploy: llms.txt, JSON-LD (product, offers, organization), structured data and hreflang. Code, not recommendations.

Lotus runs on a biweekly or weekly scheduler. When a competitor changes something critical, Lotus also fires off-cycle. You don't touch anything.

Arsenal

What the market
can't replicate.

$ lotus analyze --domain clicon.app --competitors 3
[✓] Crawl frequency detected: GPTBot every 11 days
[✓] 3 competitors scanned — hash diff complete
[✓] Citation gap identified: 23% drop in Q1 2026
[✓] Bleed Model calculated: $304,500/mo at risk
Generating GEO defense artifacts...
→ llms.txt ...............READY
→ JSON-LD (product) ......READY
→ JSON-LD (offers) .......READY
→ Structured data ........READY
[✓] Artifacts generated — awaiting deployment approval
[✓] Next GPTBot visit: ~11 days — defense active

SAMPLE DATA

DATA

✕Third-party metric dashboards

✓Direct LLM citation measurement — proprietary data no one else has

COMPETITION

✕Static keyword reports

✓Real-time hash diff: every change on your competitor's site, detected and versioned

OUTPUT

✕Generic PDF recommendations

✓Executable GEO code: llms.txt, JSON-LD, structured data — ready to deploy

AUTOMATION

✕Periodic manual analysis

✓Autonomous scheduler with triggers: citation drop, new competitor, content change

ROI

✕"Your organic traffic dropped X%"

✓Revenue at risk in USD — numbers a CFO can audit

EVIDENCE

The shift already happened.
The numbers are just showing up.

01 · CTR

61%

Drop in organic CTR since AI Overviews.

Fuel Online · 2026

02 · CLICK-THROUGH

Of users click links inside AI answers.

Pew Research · 2025

03 · VISIBILITY

62%

Of brands are invisible to AI models.

Fuel Online · 2026

04 · MARKET 2028

$750B

In sales via generative engines by 2028.

McKinsey

$100M+ already invested in GEO tools.

Built for the mid-market, in English and Spanish, with code you can deploy.

PLANS · MONTHLY USD

Pro, Growth, Agency.
Same engine. Different operation.

No annual discount. No lock-in. Cancel anytime.

PRO

Desde $399/mo

Monitored domains1

Competitors per domain3

Analysis frequencyBiweekly

Users1

Bleed Model report✓

Dashboard + API key✓

Request access

GROWTH

Monitored domains1

Competitors per domain5

Analysis frequencyWeekly

Users3

Priority triggers✓

Direct founder support✓

Request access

For agencies

AGENCY

WHITE LABEL

Your brand, our intelligence. Agency-branded dashboard, white label PDF reports, and client management panel.

Analysis runs natively in Spanish — the language your clients' sites are written in.

Monitored domains5

Competitors per domain5

Analysis frequencyWeekly

Users10

Client-branded PDFs✓

Full dashboard access✓

Agency-level support✓

Talk to sales

$399/mo — less than $14/day. Monthly billing in USD. No annual discount. No lock-in.

Prices in USD. Monthly billing.

Limited access — we evaluate each request to ensure fit

Doesn't fit these tiers? Let's talk directly.

Request demo

FREQUENTLY ASKED

What people ask
before signing up.

CLICON-LOTUS differs from tools like Semrush by focusing exclusively on language model bot crawling (GPTBot, ClaudeBot) rather than traditional search algorithms. Instead of analyzing historical traffic, our system generates deployable llms.txt files and JSON-LD structured data, proactively managing indexing in generative engines.

Profound is positioned for enterprise. Lotus is built for independent agencies and mid-market brands: public pricing from $399/mo, white-label reporting, native Spanish-language analysis, and an output focused on deployable GEO code (llms.txt, JSON-LD, structured data) plus revenue at risk quantified in auditable USD through the Bleed Model. Different segment, different output.

We run an autonomous cycle that detects competitor content changes via hash diff and updates GEO code automatically. Through our native MCP Server, we integrate directly with development environments like Claude and Cursor via streamable-http (at lotus.clicon.app/mcp/), delivering executable output (deployable llms.txt and JSON-LD) instead of static PDF recommendations.

Yes. The Agency tier (5 domains) includes client-branded PDF reports, a dashboard under your agency's brand and a client administration panel, with no Clicon branding. Agencies use it to sell AI revenue protection as a recurring service line under their own name.

While Writesonic and Superlines focus on content generation, CLICON-LOTUS is a technical Generative Engine Optimization platform. Our advantage lies in creating executable technical artifacts and quantifying visibility loss in financial terms, with advanced integrations like our native MCP server for developers and white-label reports for agencies.

Yes — natively. The engine analyzes Spanish-language content as a first-class input, not through translation. For agencies serving Hispanic and LATAM-origin clients in the US, this covers the part of their portfolio that English-only GEO tools cannot read reliably. Analysis runs natively in Spanish — the language your clients' sites are written in.

Founder

Who's behind
Lotus.

Martín Endara — Founder & CEO, CLICON

25 years building digital products. I led digital marketing agencies serving Fortune 500 clients. I designed e-commerce platforms, SaaS products, and automation systems before "agentic" was a buzzword.

Lotus wasn't born from a pitch deck — it was born from watching LLMs rewrite the rules of digital visibility while nobody in LATAM was measuring the real impact. Every line of code, every formula in the Bleed Model, and every industry benchmark was built to solve a problem I faced firsthand as an operator: knowing how much revenue you're leaving on the table and having the code to recover it.

I taught at the graduate level — Digital Marketing, E-commerce and Innovation at leading universities across Latin America for a decade. (UADE / USFQ / UISEK)

MBA (Universidad de León)·AI Product Manager (Duke University)·AI & Cybersecurity (IBM)·Music Business (Berklee College of Music)

GEO Intelligence