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88puntuación
r/SEO
SaaS subscription based on traffic volume
Build

LLM Scraper Analytics & Firewall

A middleware tool that identifies, tracks, and optionally blocks or monetizes AI bots scraping website content. It addresses the direct loss of revenue publishers face when AI chatbots summarize their work without sending traffic.

1 canal
Ver en Reddit
Descubierto 16 may 2026

Why this matters

You spend hours researching and writing high-quality articles, relying on organic traffic to drive ad revenue and affiliate sales. Recently, you notice a sharp decline in clicks, even though your search rankings haven't changed. You realize AI chatbots and native search summaries are scraping your hard work, digesting it, and serving the answers directly to users. The users get what they want, the tech companies get the engagement, and you get absolutely nothing. You feel robbed of your intellectual property and need a way to see exactly who is taking your data and a method to force them to pay or block them entirely.

  • · Built for Independent publishers, niche blog owners, and mid-sized media companies losing traffic to AI overviews..
  • · Most likely monetization: SaaS subscription based on traffic volume.

El Dolor · Narrativa

You spend hours researching and writing high-quality articles, relying on organic traffic to drive ad revenue and affiliate sales. Recently, you notice a sharp decline in clicks, even though your search rankings haven't changed. You realize AI chatbots and native search summaries are scraping your hard work, digesting it, and serving the answers directly to users. The users get what they want, the tech companies get the engagement, and you get absolutely nothing. You feel robbed of your intellectual property and need a way to see exactly who is taking your data and a method to force them to pay or block them entirely.

Desglose de puntuación

Intensidad del dolor9/10
Disposición a pagar9/10
Facilidad de construcción5/10
Sostenibilidad7/10

Estrategia de lanzamiento

Usuario objetivo exacto

Independent media publishers and affiliate blog owners who have seen a 20%+ traffic drop since AI overviews launched.

Número estimado de usuarios

~250,000 active content sites globally

Canal de adquisición principal

Twitter SEO community and publisher newsletters

Ancla de precio

$29/month

Primer hito

50 active websites installing the tracking script within the first 30 days.

Alcance del MVP · 1-2 semanas

Semana 1
  • Research and compile an exhaustive, up-to-date list of user-agent strings and IP ranges for all known LLM scrapers.
  • Build a simple Node.js tracking script that logs hits specifically from these known AI user-agents.
  • Create a basic database schema to store site IDs, timestamp, URL hit, and bot type.
  • Develop a bare-bones React dashboard to display a bar chart of 'AI Bot Hits Over Time'.
  • Deploy the tracking script and dashboard to a staging server for internal testing.
Semana 2
  • Implement a 'Lost Revenue Estimator' that multiplies bot hits by a user-defined average click value.
  • Build an export feature that generates a ready-to-copy customized robots.txt file to block identified bots.
  • Create a landing page explaining the pain point of stolen traffic and offering early access.
  • Integrate Stripe for a simple $29/mo subscription to access the dashboard.
  • Onboard 5 friendly beta testers from the SEO community to install the script.
Funciones MVP: Real-time AI bot detection dashboard · Estimated 'lost traffic' financial calculator · One-click Cloudflare/robots.txt rule deployment

Diferenciación

Soluciones existentes
GEO/Schema Agencies
Nuestro enfoque
Tools that provide actionable insights based on official, verified AI search guidelines (focusing on information gain and structure) rather than fabricated technical hacks.

Por qué esto podría fallar

Autorrefutación: la señal de confianza más importante

  1. 1Major search engines may simply route their AI data gathering through their primary, non-blockable search crawlers, rendering detection impossible.
  2. 2Publishers may be too afraid to block anything related to major search engines for fear of being entirely de-indexed.
  3. 3The technical overhead of managing CDN rules or server-side scripts might be too high for non-technical bloggers.

Resumen de evidencia

Cómo la IA sintetizó esta información: sin citas textuales

Discussions highlight a sharp frustration with content being consumed by AI without yielding return traffic. Several users pointed out that while optimizing for these systems is the new trend, the actual result is giving away clicks, conversions, and revenue for a mere snippet. This indicates a strong desire to regain control over how content is distributed and monetized.

1 1 publicación analizada1 1 canalAI · Sintetizado por IA · sin citas textuales

Plan de Acción

Valida esta oportunidad antes de escribir código

Próximo Paso Recomendado

Construir

Señales de demanda fuertes. Hay dolor real y disposición a pagar — empieza a construir un MVP.

Kit de Textos para Landing Page

Textos listos para pegar, basados en el lenguaje real de la comunidad de Reddit

Titular

LLM Scraper Analytics & Firewall

Subtítulo

A middleware tool that identifies, tracks, and optionally blocks or monetizes AI bots scraping website content. It addresses the direct loss of revenue publishers face when AI chatbots summarize their work without sending traffic.

Para Quién Es

Para Independent publishers, niche blog owners, and mid-sized media companies losing traffic to AI overviews.

Lista de Funciones

✓ Real-time AI bot detection dashboard ✓ Estimated 'lost traffic' financial calculator ✓ One-click Cloudflare/robots.txt rule deployment

Dónde Validar

Comparte tu landing page en r/r/SEO — ahí es exactamente donde se descubrieron estos puntos de dolor.

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Frequently asked questions

Who feels this pain?
Independent publishers, niche blog owners, and mid-sized media companies losing traffic to AI overviews.
Is this a real opportunity?
This opportunity scores 88/100 on Pain Spotter's composite metric (pain intensity, willingness to pay, technical feasibility and sustainability). Validate further before committing engineering time.
How should I validate it?
Run 5 customer-discovery conversations with the target audience, post a landing page with a waitlist, and check the linked source post for recent activity before building.