Not a chatbot. A domain-aware copilot.
Reads your Search Console, your product catalog, your brand voice, your competitor SERP. Proposes specific moves grounded in the data. Every recommendation cites its source — you audit the logic, not the AI's authority. Multi-provider routing, cost-aware, budget-capped.
Most 'AI for SEO' is a chatbot with no context.
It doesn't know your data, doesn't cite sources, and your CFO can't audit its decisions.
"Try changing the H1."
Generic AI advice that ignores your shop's actual GSC data, catalog, brand voice. Sounds smart; isn't.
"AI suggests X." Why?
When the AI doesn't show its data, you can't validate. You either trust blindly or reject the recommendation. Both are bad.
Surprise OpenAI bills.
Most agentic tools have no per-shop budget enforcement. Engineer accidentally fires 50,000 calls in a loop, you find out at month-end.
Read. Reason. Propose. Audit.
Every Copilot interaction follows the same four steps — and persists each one.
Grounded in your data
Loads GSC feedback, product catalog, brand voice (from past posts), tracked keywords, and competitor SERP — scoped to your shop.
Multi-provider routing
GPT-4o-mini for triage, GPT-4 for high-stakes drafts, Claude Sonnet for editorial tone. Cost-aware. Provider fallback on rate-limit.
Sourced recommendation
Every move cites the GSC query, position, impressions, page, and proposed change. No 'AI says X' — every output is auditable.
Logged + budgeted
Per-shop monthly budget cap (80% + 100% alerts). Audit row written for every interaction. 365-day retention.
Four sources. One reasoner. Four outputs.
The exact runtime topology. Hover any node to inspect.
Three concrete moves customers made.
Anonymised but representative. Pulled from active deployments.
Replaced an in-house SEO writer (in part)
An agency running 14 brands gave each brand a Pro-tier copilot allocation. Across 14 brands they used ~9,400 msgs/mo on average — surfacing decay refreshes, content briefs, and AI Overview opportunities. They retained the writer for editorial; the copilot handled triage.
Every recommendation cites its source
Customers consistently call out the 'Why?' behind every move. 'Refresh /blog/X — query Q dropped from 4 to 9 over 7 days, sustained, GSC says K impressions/wk lost.' Decision-makers can audit the AI's logic without trusting the AI itself.
Cost-aware provider routing
Copilot routes to GPT-4o-mini for triage, GPT-4 for high-stakes drafts, Claude Sonnet for editorial tone. Per-shop monthly budget caps with 80% and 100% alerts. No surprise bills — the helper enforces budgets, not the route.
What's available where.
| Capability | Starter | Pro | Agency | Enterprise |
|---|---|---|---|---|
| GSC + catalog grounding (cited sources) | ✓ | ✓ | ✓ | ✓ |
| Brand voice loading from past posts | — | ✓ | ✓ | ✓ |
| Competitor SERP context | — | ✓ | ✓ | ✓ |
| Bulk operations (batch generate / fix) | — | — | ✓ | ✓ |
| Auto-route to autoaction handlers | — | ✓ | ✓ | ✓ |
| Plan-tier message quotas | 50 | 200 | 1k | 9.9k |
| Per-shop monthly budget cap | ✓ | ✓ | ✓ | ✓ |
| Multi-provider routing + fallback | — | — | ✓ | ✓ |
See the copilot reason about your data.
We connect to your GSC + Shopify, fire 5 representative queries, and walk through every recommendation with its sources.