SeenByAI – Mechlar Technology

The challenge

Brands can't see how AI engines talk about them

As ChatGPT, Perplexity, Claude and Gemini become primary discovery surfaces, most sites have no way to know whether they are being crawled, cited or recommended, or why a competitor is winning the answer instead. There was no standard way to check if a site is readable, citable and structured for LLM crawlers, traffic telemetry from AI referrals, Google Search Console and GA4 lived in three disconnected dashboards, and generic SEO tools flagged problems without generating the schema, robots directives or llms.txt files needed to fix them.

Key problem constraints:

Zero AI discoverability signal for most sites
Fragmented telemetry across three disconnected dashboards
No actionable fix path from generic SEO tools

seenbyai.ai Live

The engineered solution

One platform to diagnose, fix and prove AI visibility

We built a full-stack SaaS end to end: a proprietary crawler that scores sites 0 to 100 across technical discoverability, entity grounding and schema markup, an AI knowledge engine that auto-generates JSON-LD schema, robots.txt directives and llms.txt guides, executive reporting that unifies GA4, Google Search Console and AI-referral telemetry into published monthly reports, and a multi-tenant agency and billing layer with Google OAuth and Stripe subscription billing.

01

AI Readiness Scanner

Proprietary crawler scores sites 0 to 100 across technical discoverability, entity grounding and schema markup.

02

AI Knowledge Engine

Auto-generates JSON-LD schema, robots.txt crawler directives and llms.txt guides.

03

Executive Reporting

Unifies GA4, Google Search Console and AI-referral telemetry into published monthly reports with live preview editing.

04

Agency & Billing Layer

Multi-tenant client workspaces with Google OAuth, GSC/GA4 integrations and Stripe subscription and add-on billing.

05

AI Readiness Scanner scoring sites 0 to 100

A proprietary crawler that scores sites across technical discoverability, entity grounding and schema markup.

06

AI Knowledge Engine auto-generating schema and crawler directives

Auto-generates JSON-LD schema, robots.txt directives and llms.txt guides so a site becomes readable to LLM crawlers.

07

Executive reporting unifying GA4, GSC and AI-referral telemetry

Published monthly reports with live preview editing, pulling GA4, Search Console and AI-referral data into one place.

08

Multi-tenant agency workspace with OAuth and Stripe billing

Client workspaces with Google OAuth, GSC/GA4 integrations, and Stripe subscription and add-on billing for agencies managing multiple accounts.

The results

387

Diagnostic scans run

68/100

Mean AI Readiness Score

Across 387 scans

88

FastAPI backend endpoints

20

Clients managed under the Growth Agency tier

What changed

From prototype to production SaaS in six months

In six months, Mechlar Technology designed, built and shipped SeenByAI end to end: a proprietary AI-readiness scanner, an AI knowledge engine, automated reporting and a multi-tenant billing system. The platform has run 387 diagnostic scans across 56 domains, with a mean AI-readiness score of 68/100. It now runs on 88 FastAPI backend endpoints and manages 20 clients under its Growth Agency tier, with automated reporting cutting turnaround time for clients.