How AI Search Is Recommending Mortgage Industry Professional Association: Monthly Trends

Executive Summary

Mortgage Professionals Canada remains the category leader in September 2026, but the field has compressed dramatically from July 2026. Its valid recommendation coverage now sits at 7.5%, down 14.2 points from 21.7% in July 2026. The gap to the next brand has narrowed from 19.8 points to 5.0 points, making this the tightest leadership margin tracked in the vertical so far.

The strongest upward mover this month was Alberta Mortgage Brokers Association and REMIC, each gaining ground from August 2026. Alberta Mortgage Brokers Association rose 0.2 points from 2.3% in August 2026 to 2.5% in September 2026, extending a two-month upward streak. REMIC moved up 0.9 points from 0.8% to 1.7%, reversing an earlier decline. Canadian Mortgage Brokers Association and CMBA Ontario each fell 0.8 points from August 2026 back to 0.0% coverage.

The sharpest decliner remains Mortgage Professionals Canada, flagged as a significant decliner from July to September 2026 with a 14.2-point drop. This month's movement of 0.9 points, however, stayed within normal month-to-month ranges. The category's significant shift occurred between July and August, and September shows stabilization at the lower level.

Each monthly run begins with 211 prompt-surface observations (177 unique questions) in September 2026, down from 326 in August 2026 and 257 in July 2026. Of the September prompts, 211 mentioned a tracked brand or competitor; 127 were relevant and 84 were irrelevant. The public metrics use the 120 observations that survive both qualification stages in September 2026, compared with 131 in August and 106 in July.

Key Findings

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

The intermediate August 2026 run collected 326 prompt-surface observations with 131 qualified, the largest public denominator in the series. September 2026 returned to a smaller collection base while maintaining the full six-family surface breadth that began in August.

Benchmark-Level Metrics

The recommendation-shaped answer share fell from 14.2% in July 2026 to 10.8% in September 2026, and the valid recommendation shortlist share moved from 12.3% to 10.0%. Both metrics peaked in July and have trended down across the series.

AI Recommendation Trend

The category has moved from a concentrated leadership structure to a compressed field. Mortgage Professionals Canada still leads, but its 7.5% coverage in September 2026 is only 5.0 points ahead of Alberta Mortgage Brokers Association, compared with a 19.8-point spread in July 2026.

Valid Recommendation Coverage by Brand

No tracked brand moved outside its normal month-to-month variation in September 2026. The category's compression over the full series came from Mortgage Professionals Canada's significant July-to-August decline, followed by a stable September, rather than from broad gains among the other tracked brands.

What Changed This Month

Mortgage Professionals Canada: Stabilizing After a Significant Decline, With a Widening Conversion Gap

Mortgage Professionals Canada remains the category leader in September 2026 at 7.5% valid recommendation coverage, down 14.2 points from 21.7% in July 2026, a decline the benchmark flags as significant across the series; the move from August's 8.4% to September's 7.5% (0.9 points) stayed within normal range. Valid recommendation count fell from 23 in July to 9 in September. Top-three and rank-one rates each moved from 5.7% to 3.3%, reflecting 4 top-three placements and 4 rank-one placements, with an average recommended rank of 2. Raw mention presence moved from 64.1% to 51.7%, and net sentiment fell from 0.5 to 0.2 across the series.

Alberta Mortgage Brokers Association converts 10.0% raw mention presence into a 2.5% rank-one rate, while Mortgage Professionals Canada converts 51.7% raw mention presence into only a 3.3% rank-one rate. Despite appearing in more than five times as many qualified answers as Alberta Mortgage Brokers Association, Mortgage Professionals Canada is not converting that visibility into rank-one outcomes at a proportionate rate, and its lead over the next brand has narrowed from 19.8 points in July to 5.0 points in September. Net sentiment also favors the challenger this month, at 0.4 for Alberta Mortgage Brokers Association versus 0.2 for Mortgage Professionals Canada.

Highest-priority diagnostic: Which prompt categories and competitor substitutions explain why Mortgage Professionals Canada's high raw presence (51.7%) is not converting into rank-one recommendations at a rate comparable to Alberta Mortgage Brokers Association's (2.5% rank-one from 10.0% presence), and which competitor appears when Mortgage Professionals Canada is surfaced but not recommended?

Alberta Mortgage Brokers Association: Steady Two-Month Climb

Alberta Mortgage Brokers Association moved from 1.9% valid recommendation coverage in July 2026 to 2.5% in September 2026, up 0.6 points over the series and 0.2 points since August. The brand holds 3 valid recommendations in September 2026, up from 2 in July. Top-three and rank-one rates each moved from 0.9% to 2.5%, reflecting 3 top-three placements and 3 rank-one placements in September 2026.

Raw mention presence rose from 8.5% in July 2026 to 10.0% in September 2026, while net sentiment eased from 0.8 to 0.4. The brand's highest-priority position is now the closest challenger to the category leader.

The distinction to notice: Alberta Mortgage Brokers Association is converting a modest presence base into rank-one outcomes at a higher rate than the category leader.

Highest-priority diagnostic: Which provincial or national prompts drive the rank-one placements, and are they recurring query patterns?

REMIC: Recovering From a Mid-Series Dip

REMIC's valid recommendation coverage moved from 2.8% in July 2026 to 1.7% in September 2026, down 1.1 points over the series but up 0.9 points from August 2026's 0.8%. The brand recorded 2 valid recommendations in September 2026, with 2 top-three placements and no rank-one placements. Its average recommended rank is 3.

Raw mention presence rose from 23.6% in July 2026 to 48.3% in September 2026, a 24.7-point increase. The brand is mentioned across roughly half of qualified observations, making it the second most visible name, yet its recommendation coverage remains small.

The distinction to notice: REMIC's visibility has grown while its recommendation outcomes have not kept pace, a pattern where presence and recommendation moved in opposite directions.

Highest-priority diagnostic: Which surfaces surface REMIC without recommending it, and what evidence sources accompany those mentions?

Canadian Mortgage Brokers Association and CMBA Ontario: August Gains Reversed

Canadian Mortgage Brokers Association and CMBA Ontario each recorded their first valid recommendation in August 2026 at 0.8%, but both returned to 0.0% coverage in September 2026. Each brand now holds 0 valid recommendations.

Canadian Mortgage Brokers Association's raw mention presence fell from 3.8% in July 2026 to 1.7% in September 2026, with its net sentiment moving from 0.8 to 0.0. CMBA Ontario's raw mention presence rose from 8.5% in July 2026 to 20.8% in September 2026, yet its net sentiment fell from 0.3 to 0.0.

The distinction to notice: CMBA Ontario's rising presence did not translate into recommendation coverage, while Canadian Mortgage Brokers Association's August recommendation appears to have been a one-off answer structure rather than a recurring pattern.

Highest-priority diagnostic: Which prompts produced the August recommendations, and whether those query patterns recurred in September without recommendation outcomes.

Buyer-Intent Interpretation

In September 2026, all 120 qualified observations fell into the Brand Recommendation cluster. The benchmark's public metrics therefore capture which brands are recommended and how often, but they cannot yet answer pricing, value, or head-to-head comparison questions for mortgage associations. The Pricing & Value and Multi-Brand Comparison clusters had no qualified observations across July, August, or September 2026, so those commercial questions remain outside the public benchmark's current evidence base.

Brand Opportunity Summary

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the LLM Authority Index AI Market Discovery research program.

• AI Industry Market Discovery Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• Small-count movement: Several brands hold only 1 to 3 valid recommendations in the strongest months; movements in these ranges should be read as directional signals rather than settled trends.
• Qualified denominator vs raw collection: The public metrics use the 120 qualified observations in September 2026, not the 211 raw prompt-surface observations, so percentages reflect the qualified set only.
• Directional analysis: Month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

The aggregate percentages in this report raise questions that the benchmark alone cannot answer: which high-intent prompts does Mortgage Professionals Canada still win, and which prompt patterns account for its recommendation decline and its conversion gap relative to Alberta Mortgage Brokers Association? When a brand such as CMBA Ontario is surfaced in 20.8% of qualified answers but never recommended, which competitor takes the recommendation instead? What attributes do AI systems associate with each association, and which external sources are shaping those answers?

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It moves from the category-level picture to the brand-level evidence: which queries to defend, which gaps to close, and which evidence sources to strengthen.

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