Built for Search. Optimized for AI.
Scan, score, and fix what matters for AI search, agents, and automated workflows.
AI systems don’t read like humans—they parse structure, schema, and speed. Get a free AI Readiness Score, then turn that score into outcomes: richer snippets, better agent answers, and measurable conversion lift.
Why It Matters
AI Is the New Discovery Layer
Agents and answer engines now mediate attention. If you’re not machine-parsable, you’re not visible.
+ Richer snippets, higher share in AI answers
Structure > Slogans
Bots evaluate markup, speed, and intent—not vibes. Clean semantics win.
1 H1, logical H2s, solid schema, fast TTFB
Trust Signals Drive Selection
Clear ownership, policies, and contact raise confidence for AI routing.
E-E-A-T: author, org, HTTPS, policies
Act Now, Compound Later
Early movers get durable advantages in AI rankings and toolchains.
Weeks to uplift; months of compounding
A quick look at what you’ll receive with the full report.
- 🚀More content included in Full Report:
- ✅Score overview + category breakdowns
- ✅Page-by-page snapshots with prioritized fixes
- ✅Targeted code samples for quick fixes
What We Anable You To Do
From first scan to production changes, we turn insights into outcomes—faster ranking answers, cleaner agent responses, and higher conversion.
Benchmark Your Digital Presence
Score your site against AI-critical signals: semantics, schema, speed, and trust.
Baseline in minutes; track uplift over time
Uncover Blind Spots
See how LLMs parse your pages. Identify where you’re invisible or misinterpreted.
Agent-view snapshots and diffs
Fix What Matters
Prioritized roadmap targeting the 20% of work that drives 80% of impact.
Quick wins → strategic refactors
Wire Agents to Your Data
Publish llms.txt, clean robots/sitemaps, and expose safe endpoints for agents.
Better routing, fewer hallucinations
Win Rich Results
Deploy Organization/FAQ/HowTo/Product schema to earn prominent surfaces.
More SERP/answer share; higher CTR
Stay Future-Ready
Ongoing updates as models and answer engines evolve.
Continuous tuning; quarterly reviews
MCP Servers & Context7
Go beyond “AI-ready” pages. We connect your data and tools to agents using the Model Context Protocol (MCP) and ship fast, safe retrieval + reasoning pipelines with Context7.
MCP Server Setup
Expose approved tools (search, DB, docs, APIs) with guardrails, auth, and observability.
- Spec & scopes, auth strategy, rate-limits
- Tool definitions + eval harness
- Logging, red-teaming, rollback plan
Context7 Pipelines
Build retrieval flows that stay fresh and grounded (chunk, rank, dedupe, enrich).
- Corpus design & data contracts
- Evaluator prompts & regression tests
- Latency + cost tuning, caching
Outcomes We Target
- ↓ Hallucinations with grounded answers
- ↑ Task success (tool use) & CSAT
- ↘ Latency & spend via smarter context
What is MCP & Context7?
MCP (Model Context Protocol) standardizes how agents access tools and data through a secure, observable server interface.
Context7 is a pragmatic framework for seven-layer context pipelines (ingest → normalize → chunk → rank → enrich → verify → deliver) that keep answers accurate and fast.
Interactive Guidance (GPT)
Business Anabler — GPT
Explore live guidance and examples of what we can build for you—automations, MCP integrations, SEO/AI fixes, and more.
- Interactive walkthroughs & checklists
- Examples of agent tools & workflows
- Tailored suggestions for your stack
Opens in a new tab on chatgpt.com.