1 — Discovery & Business Goals
Before any tool opens, we map your services, customer types, and conversion paths. Keyword research that ignores what actually generates revenue for your Toronto business is just trivia.
Why It Matters
Why Keyword Research Is the Foundation
Pick the wrong keywords and every other SEO dollar you spend is amplifying the wrong message. Here's what serious keyword research uncovers that quick exports never will.
Search Intent Is the Real Filter
"Lawyer Toronto" and "how to find a lawyer in Toronto" look similar in a tool — they're not. One converts; the other reads three blog posts and bounces. Intent classification separates revenue keywords from traffic keywords.
Long-Tail Drives 70% of Conversions
Industry data consistently shows long-tail queries — "affordable invisalign Annex", "24 hour locksmith Scarborough" — convert 3–5× higher than head terms. They're also where Toronto competitors have left the most room.
Toronto Search Behaviour Differs from Canada-Wide
Search volumes pulled at the national level overstate what's actually winnable for a Toronto business. We pull Toronto-specific data through Google Search Console, GA4, and city-level keyword tools.
Difficulty Scores Lie Without Context
A "KD 25" keyword in Ahrefs can still be locked up by three brand-name Toronto competitors. We score difficulty against the real SERP, not a generic algorithmic number.
Question Queries Build Topical Authority
"How much", "how long", "is it worth" queries are massively under-served in Toronto verticals. Capturing them builds the topical authority your money pages quietly inherit.
Branded Queries Reveal Demand You Already Have
If 200 people a month are searching your brand name in Toronto, you have demand you're not capitalizing on. Branded search data is one of the most under-used inputs in keyword research.
Seasonal Patterns Change the Plan
Toronto search demand for "AC repair" peaks in July; "snow removal Toronto" peaks in November. Map your topics to the calendar or you'll publish content months too late.
Cannibalization Wastes Effort
Many Toronto sites have 3–4 pages competing for the same keyword and none of them ranking well. A proper keyword map kills that overlap before it eats your rankings.
How We Work
Our Keyword Research Process
2 — Seed Mining & Query Expansion
We pull from Google Search Console, Ahrefs, Semrush, Google Trends, autocomplete, People Also Ask, and Reddit/Quora to surface every realistic query a Toronto customer is typing.
3 — Intent Classification
Every query gets tagged: informational, navigational, commercial, transactional, local. We separate the keywords you write blogs for from the keywords you build money pages for.
4 — SERP & Competitor Analysis
We pull live SERPs for every priority keyword, see who actually ranks in Toronto, and assess whether you can realistically beat them in 6–12 months — or whether to chase a different angle entirely.
5 — Topic Clustering & Page Mapping
Keywords get grouped into clusters (pillar + supporting), and each cluster is mapped to a specific page on your site — new or existing. No orphaned keywords, no cannibalization.
6 — Prioritization & Roadmap
We score each cluster on volume, intent, difficulty, and business value, then deliver a 12-month roadmap of what to build first, what to refresh, and what to skip entirely.
Keyword research is the cheapest, highest-leverage step in SEO — and the one most rushed. Whether you're a Toronto SaaS company chasing comparison queries or a Bloor West retailer chasing local intent, getting this layer right makes every other dollar work harder.
Free Keyword Sample
Tell us what you sell
Give us your URL and the services you offer in Toronto. We'll send back a sample of 25 high-intent keywords, with difficulty, monthly volume, and a note on which ones you can realistically win.