Competitive Compass Competitive Compass Signal for Financial Leaders
Competitive Compass
AI Compass
By Competitive Compass
Canada Deep Dive · QUESTRADE July 2026
Canada · Online Brokerage

Questrade.

The commission schedule reads perfectly. Returning honest status codes and a current sitemap lets an agent tell a live page from a retired one.

Agent Readiness Score
59 / 100
Technical Readiness
31 / 50
Content Architecture
28 / 50
Rank 9 of 15 · Brokerage · Surfaces reviewed 7 · Range across surfaces 48 to 79 · Band Building

Questrade posts an Agent Readiness Score of 59 out of 100 in the AI Compass Canada July 2026 Index. The score splits into Technical Readiness at 31/50 and Content Architecture at 28/50. The pricing page publishes the full commission schedule as text and the Questrade Plus page is a complete agent-ready answer. Honest status codes, a current sitemap and real copy inside the trading page structured data are the three moves that follow.

The Read

What an agent receives.

Questrade publishes what a brokerage should publish. The pricing page serves “$0 commissions on stocks and ETFs”, “Bonds $24.95 per trade”, “Mutual funds $9.95 per trade”, “CAD $9.95/mo ($0 with Questrade Plus)” and “Margin rates as low as Prime -2.5%”. The Questrade Plus page adds FAQPage schema with eight questions answered in plain text.

Real HTML comparison tables ship server side on the trading and platform pages, and Product plus FinancialProduct schema is correctly typed on the commercial pages. That is a stronger technical content layer than most Canadian brands carry.

The discovery layer is where the next points sit. Every invented path returns HTTP 200 pointing at the 404 page, including /llms.txt, which returns 68,554 bytes of the error page with a 200 status. Returning a real 404 lets an agent tell a live page from a dead one by status code alone. The sitemap lists 192 URLs and still points at retired paths, so rebuilding it around the current set puts the promoted pages in front of agents.

Two content items follow. The JSON-LD on the trading page ships placeholder Lorem ipsum in the description field, which is the text an agent would quote. The TFSA page carries 10,387 characters and is ready for the age requirement, the residency statement, the annual contribution limit and a served FAQ.

Surface Scorecard

Flagship product by sub-category.

One flagship offer was selected for each sub-category Questrade features on its root. Each surface was read from the server response, without a browser session.

Sub-category and flagship product
Tech /50
Cont /50
Score /100
Membership
Questrade Plus
34
45
79
Self-directed trading
Commission-free stocks and ETFs
32
29
61
Pricing and commissions
Questrade fee tiers
31
30
61
Trading platform
Questrade Pro
33
27
60
Portfolio construction
Custom Indexing
30
25
55
Investing products
Invest hub
30
19
49
Registered accounts
TFSA
27
21
48
Strengths and Opportunities

What is working and where the value sits.

What Is Working

The headline commission schedule is readable served text. The pricing page returns “$0 commissions on stocks and ETFs”, “Bonds $24.95 per trade”, “Mutual funds $9.95 per trade” and “Margin rates as low as Prime -2.5%”.

The Questrade Plus page is a complete agent-ready answer. It carries valid FAQPage JSON-LD plus eight questions answered in plain text, including “Starting October 1, 2026, Questrade Plus costs $19.99 per month plus applicable taxes”.

Real HTML comparison tables arrive server side. The trading page serves two parsable tables containing “Zero commissions ... Questrade Free Other platforms Up to $9.95/trade”.

Product schema is present and correctly typed. The pricing page carries “@type”:[“Product”,“FinancialProduct”] with an Offer block, and three other pages ship ItemList entries.

Where The Value Sits

Status codes are ready to tell agents the truth. Every invented path resolves to the 404 page with a 200 status, including /llms.txt, which returns 68,554 bytes of the error page. Returning a real 404 lets an agent tell a live page from a dead one.

The sitemap is ready for the current URL set. It lists 192 URLs and still points at retired Questwealth paths, so adding the trade, invest, pricing, TFSA and Plus pages puts the promoted pages in front of agents.

One live page is ready for its real description. The JSON-LD on the trading page reads “description”:“Occaecat dolore labore fugiat incididunt aliquip est nostrud dolore Lorem ...”, which is the text an agent would quote.

Registered account eligibility is ready to be stated. The TFSA page serves “$109,000” total contribution room today, and adding the age requirement, the residency statement, the annual limit and a served FAQ completes it.

The encouraging read: pricing transparency is the hard part of this category and it is already in the page. The remaining work sits in discovery and in repeating a pattern that already exists on the Questrade Plus page.

Questrade already publishes the number a customer asks about first. Fixing discovery lets agents find the rest of the answer.
Field Position

Where Questrade sits in the Canadian field.

Questrade sits in the middle of the Canadian field. Its strongest surface reaches 79, which shows what the whole estate could look like with the same treatment. Scores shown are the nearest neighbours in the July 2026 Canadian field.

8
BMOBig Five bank
60
9
QuestradeBrokerage · This report
59
10
CIBCBig Five bank
58
The Two Dimensions

Where the work lives.

Every Agent Readiness Score splits into Technical Readiness and Content Architecture. The two halves point to different teams and different timelines.

Technical Readiness
31 / 50
Access, discovery and retrievability. Robots rules are permissive and schema is correctly typed. The points still available sit on honest status codes, a current sitemap and publishing an llms.txt.
Content Architecture
28 / 50
Whether the page answers the question a person actually asks. Pricing and membership answer in full. Registered accounts and the investing hub are ready to carry the numbers alongside the marketing language.
The 90-Day Path

Four moves to the leading band.

Sequencing, effort estimates and the surface-by-surface build order sit in the full engagement plan. Item one carries the largest share of the available lift.

1

Publish an llms.txt and return honest status codes.

Place a one-line-per-page index at /llms.txt covering the seven flagship pages, and make the 404 page return a real 404 so agents read dead paths correctly.

2

Rebuild the sitemap around the current URL set.

Add the trade, invest, pricing, TFSA, RRSP, FHSA, RESP, Plus and Custom Indexing pages, and retire the account-type and Questwealth entries.

3

Add a served FAQ block to the six surfaces that are ready for one.

The Questrade Plus page proves the pattern works. Lead with the questions customers ask about age, residency, contribution limits and management fees.

4

Put the detailed fee schedule back in served HTML.

Render a real anchor from the pricing page to the transaction, administrative and margin interest schedules, and replace the placeholder description in the trading page JSON-LD.

The direction of travel favours Questrade. Pricing transparency is the hard part of this category and it is already in the page.

Questrade already publishes the number a customer asks about first. Fixing discovery lets agents find the rest of the answer.
Methodology

How the score is built.

AI Compass measures what an AI agent receives when it visits a financial institution website on a customer’s behalf. It reads the served response the way an agent does, without a browser session, without scripts, and without a human clicking to reveal a value.

Scoring bands

  • Leading 70 to 100. The page answers the customer question in full.
  • Building 50 to 69. The story arrives and a decisive field is ready to be published.
  • Early 0 to 49. An agent leaves with a partial answer.

How the total works

Each product surface earns a score out of 100, built from Technical Readiness out of 50 and Content Architecture out of 50. The institution score is the average across the surfaces reviewed, up to seven.

Technical Readiness · 50

  • Crawler permission. Robots rules, treatment of named AI agents, sitemap presence, and whether the edge serves them.
  • Machine-readable discovery. An llms.txt index and the quality of what it describes.
  • Server-side completeness. How much of the page arrives in the first response.
  • Retrievability. Stable URLs, working paths, clean status codes, content served ahead of any gate.
  • Disclosure availability. Whether terms and footnotes travel with the page.

Content Architecture · 50

  • Price in text. Rate, APR, fee and bonus values present as readable figures.
  • Eligibility in text. Provinces, balances, income, credit position, qualifying activity.
  • Comparison structure. Tables an agent can parse across products.
  • Question coverage. FAQ content served as text rather than as a call.
  • Plain answers. Wording that maps to how customers ask the question.

Surface selection and review window

Sub-categories come from the personal banking navigation on each brand’s Canadian root. Within each one, the flagship is the product the institution itself features first. Brands with fewer product lines are scored on the surfaces they actually sell, so a focused brand is measured on quality rather than on breadth.

Pages were read on 30 July 2026. Rates, bonus offers and terms move, and scores describe what each site served on that date. Where a site offers more than one language, the version served by default to a request with no language preference was used.

Independence and scope

Scores come from observed page behaviour alone. No institution reviews or approves a score before publication, and every brand is measured against the same rubric. Outlier results are verified against a second independent retrieval pass before publication.

The score covers the public marketing site. Logged-in banking, the mobile app and the branch experience sit outside it. A site can score well here and still have work to do inside the login, and the reverse holds too.

Frequently Asked

Common questions about the Questrade score.

What is the AI Compass Canada score for Questrade?

Questrade carries an AI Compass Agent Readiness Score of 59 out of 100 in the July 2026 Canada Index. That is the sum of Technical Readiness (31/50) and Content Architecture (28/50), scored across 7 product surfaces and read from the server response on 30 July 2026.

How is the Questrade AI Compass score calculated?

Each product surface earns a score out of 100, built from Technical Readiness out of 50 and Content Architecture out of 50. Technical Readiness covers crawler permission, machine-readable discovery, server-side completeness, retrievability and disclosure availability. Content Architecture covers price in text, eligibility in text, comparison structure, question coverage and plain answers. The institution score is the average across the surfaces reviewed. Questrade sits at 31 on Technical Readiness and 28 on Content Architecture.

Which Questrade surface is most agent ready today?

The strongest surface is Membership at 79, with Self-directed trading and Pricing both at 61 behind it. The next points sit on honest 404 status codes, a rebuilt sitemap, an llms.txt index and served FAQ blocks on the six surfaces ready for one.

How often is the Questrade AI Compass score refreshed?

Canada scores are refreshed each edition of the AI Compass Index, and a deep dive is refreshed whenever a brand ships a major site or content change. The July 2026 edition reads the served response on 30 July 2026. Subscribe at competitive-compass.com to get the next refresh.