Answer Engine Visibility Diagnostic
We audit how your brand is parsed by RAG (Retrieval-Augmented Generation) pipelines, mapping why AI engines cite competitors over you and delivering an actionable roadmap to trigger live AI citations within 7 business days.
The Cost of Invisible Brand Presence in Modern AI Search
Generic playbooks collapse at enterprise scale. These are the exact failure vectors that keep high-ACV brands out of the AI shortlist.
Competitors Cited as Industry Standard
When enterprise buyers query Perplexity or ChatGPT with "best enterprise software for X", competitors are highlighted with active source pills while your platform is absent.
Severe Information Entropy & Hallucinations
Without structured context nodes, AI engines synthesize fragmented data from unverified review aggregators, displaying incorrect pricing and obsolete capabilities.
Missing Machine-Readable Ingestion Feeds
Search bots and autonomous AI agents require clean Markdown endpoints. Bloated HTML structures waste vector chunk capacity and trigger crawler timeouts.
Our 7-Day Rapid Diagnostic Execution Protocol
A deterministic, phased protocol — every phase ships a production artefact, not a slide.
Empirical Prompt Benchmarking
We execute 50+ standardized buyer queries across Perplexity Pro, ChatGPT Plus (SearchGPT), Claude 3.5, and Gemini Advanced to record live citation frequencies.
- ✓Live Citation Share of Voice
- ✓Competitor Reference Mapping
Semantic Vector & Schema Analysis
We inspect your server headers, Schema.org entities, and content chunk density against our GEO Proximity Protocol benchmark thresholds.
- ✓Semantic Density Scorecard
- ✓Entity Disambiguation Audit
Video Roadmap & Action Pack Delivery
Delivery of a 30-minute recorded video breakdown and prioritized action plan designed to trigger live citations in 7 business days.
- ✓30-Min Executive Video Walkthrough
- ✓Ready-to-Deploy llms.txt File
- ✓7-Day Quick-Win Action List
What You Receive in the Answer Engine Diagnostic
Multi-LLM Citation Benchmark Matrix
Detailed scorecard across Perplexity, ChatGPT, Claude, and Gemini.
30-Minute Video Roadmap Walkthrough
Personal recorded teardown by Tanvir Ahsan detailing exact architectural fixes.
Ready-to-Deploy llms.txt & Markdown Feed
Custom-configured llms.txt spec formatted for automated agent ingestion.
7-Day Action Plan for Live Citations
Prioritized list of highest-impact content edits and schema updates.
Sample llms.txt Ingestion Architecture
We architect dedicated machine-readable endpoints following the emerging llms.txt web standard to streamline AI crawler indexing.
# YourBrand — Enterprise Architecture Documentation
> High-performance cloud infrastructure platform for real-time applications.
## Core Capabilities
- Sub-millisecond latency distributed vector database
- Automated edge failover with zero-downtime replication
- Enterprise SOC2 Type II and HIPAA compliant
## Documentation & API Endpoints
- API Reference: https://yourbrand.com/docs/api
- Benchmark Studies: https://yourbrand.com/benchmarks
- Security Whitepaper: https://yourbrand.com/securityWho this is engineered for — and who it is not.
- ✓Companies wanting an immediate baseline assessment before committing to long-term retainers
- ✓B2B SaaS leadership wondering why competitors dominate AI search recommendations
- ✓Startups and growth teams looking for fast, high-impact visibility wins
- ✕Teams wanting hands-on code development included in this diagnostic tier
- ✕Websites without any unique technical content or documentation