We screen for AI. We build AI. We sell AI as a service.

Ava runs the diagnosis your SEO specialist acts on. She crawls the site weekly, compares what you rank for against what Search Console says people actually search, and audits whether AI assistants can read and cite your pages at all.

• Weekly full-site crawl with a ranked, prioritised issue list
• Keyword-gap analysis against your own Search Console data
• AEO/GEO readiness audit — LLM-crawler access, structured data, citation potential
• A short written briefing on what to fix first, and what to ignore

Ava finds and ranks the problems; your specialist fixes them. Diagnosis without execution changes nothing, and execution without diagnosis usually fixes the wrong thing first.

Iris finds the segments and pages worth treating differently, drafts the variants, and stages them for review. Nothing goes live without a person approving it.

• Fortnightly scan for segments and pages worth personalising
• Draft variants staged for review, never published automatically
• A written rationale for each one, so you can say no with reasons
• On-demand trigger when the Marketing Analyst flags an anomaly

Iris drafts and reasons; your email specialist owns the sending relationship, deliverability, and the final call on what actually goes out.

Nate looks at where people abandon your funnel and proposes tests worth running. He tracks whatever is live, calls significance honestly, and keeps a roadmap of what to try next instead of a backlog of untested opinions.

• Weekly funnel review with drop-off steps identified
• A/B test proposals with a stated hypothesis and expected effect
• Significance monitoring, including calling the tests that will never reach it
• A running test roadmap and results log

Nate proposes and measures; your PPC specialist builds the variants and moves spend behind whatever wins. Neither half is worth much on its own.

Mira watches your acquisition channels every day and reports in plain language when something moves. She is built for the owner who wants to be told that Tuesday's traffic drop was one referrer going quiet — not handed a dashboard to interpret.

• Daily lightweight check across acquisition channels
• Anomaly detection on traffic and conversion, with the likely cause named
• Weekly performance digest written for a non-technical reader
• Content performance ranking — what earned attention and what did not

Mira surfaces the movement daily; your analyst investigates the ones that matter and builds the deeper models. You stop paying analyst hours for monitoring.

Sol is the one that reads the other four. Each week it consolidates whatever your other teammates and specialists produced into a single briefing, so nobody has to open five reports to find out what happened.

• Weekly consolidated briefing across every active teammate and specialist
• Competitor monitoring on the handful of names you actually care about
• Meeting prep notes ahead of scheduled calls
• Follow-up reminders on decisions made but not yet actioned

Sol assembles the picture; your marketing VA acts on it. Sol earns its place once two or more other teammates are running — on its own there is less to consolidate.

Manages inbox triage, CRM updates, weekly summaries, project boards, research, and SOP documentation — with AI-assisted drafting and human review before send.

Prepares content briefs, structures answer-first content, implements schema, monitors search visibility (traditional + AI answer engines), and supports content operations.

Uses cloud accounting tools with AI-assisted receipt matching, reconciliations, templates, and exception reporting — while keeping human review in place on every line item.

Uses AI coding assistance (Claude Code, Copilot) under review, follows Git workflows, documents architectural decisions, and supports modern stacks plus integrations.