How AI Search Is Recommending Annuities: Monthly Trends

Executive Summary

MassMutual retained the annuities category's coverage leadership in September 2026 at 68.3% valid recommendation coverage. The gap to the next brand was 5.7 points, with Allianz Life and New York Life tied at 62.6% each, followed by Nationwide at 58.6%. This represents a partial recovery from August's sharp compression, when MassMutual led at 46.0% with New York Life just 1.3 points behind.

The largest upward mover was Allianz Life, which surged 40.9 points from 21.7% in August to 62.6% in September, a single-month rise that ranked as the category's largest movement. Athene moved up 34.9 points from 21.1% to 56.0%, while Nationwide gained 26.3 points from 32.3% to 58.6%. These gains stand in contrast to the baseline-to-current picture, where no brand rose significantly above July levels.

The sharpest decliner in September was Pacific Life, down 10.1 points from 31.7% in August to 21.6%. Corebridge Financial registered a significant decline against the July baseline, falling 10.1 points from 20.7% to 10.6%, although it improved from August's 5.0%. New York Life also showed a significant baseline decline, down 8.9 points from 71.5% to 62.6%, despite a 17.9-point gain from August.

The September result sits between the July and August extremes for most brands. The category's leaders recovered much of what they lost in August, while the qualified observation count rose from 161 in August to 227, closer to July's 246.

The September 2026 benchmark began with 800 prompt-surface observations (537 unique questions) across the benchmark's defined AI/search surface universe. Of those, all 800 mentioned a tracked brand or competitor; 282 were relevant and 518 were irrelevant. The public metrics use the 227 observations that survive both qualification stages. In comparison, the July 2026 run began with 800 prompts (496 unique questions), with 289 relevant and 511 irrelevant, yielding 246 qualified observations.

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.

August's qualified count of 161 sat between these two months, making September's movement partly a function of a larger analysis set. All six AI surface families contributed qualified observations in each month.

Benchmark-Level Metrics

September's story is a partial normalization. The category moved from August's compressed state back toward July's shape, with leaders regaining most of the ground they lost. The recommendation-shaped answer share reached its highest level of the three-month series at 49.8%, indicating that more answers in September took the form of direct brand recommendations.

AI Recommendation Trend

Category Recovered From August Compression, With a Tighter Leader Tier

The annuities category moved from August's compressed field back toward a familiar shape, though with some repositioning. MassMutual leads at 68.3%, but Allianz Life and New York Life now sit tied at 62.6%, creating a three-brand cluster at the top where July had a clearer hierarchy.

The category-level movement came from a combination of significant prior-month-to-current gains and baseline declines concentrated in a few brands. Corebridge Financial and New York Life moved significantly against the July baseline, while the broader recovery from August came from many brands moving up together rather than a single driver.

What Changed This Month

MassMutual: Leader Retained, Up Sharply From August

MassMutual's coverage rose 22.3 points from 46.0% in August to 68.3% in September, a significant single-month gain. Against the July baseline of 74.0%, the brand remains down 5.7 points, a movement below the significance threshold.

Raw mention presence stayed strong at 86.3% in September, roughly flat against July's 85.0%. However, the top-three rate fell to 37.4% from 45.5% in July, and the rank-one rate dropped 11.1 points from 20.3% to 9.2%, both significant movements against baseline.

The distinction to notice: MassMutual is still the most recommended brand in the category, but its rank-one dominance has weakened materially. The brand appears in as many answers as before, yet fewer of those appearances place it first. Its lead now rests on breadth of coverage rather than on top placement.

Highest-priority diagnostic: Which prompts shifted MassMutual from rank one to lower placements, and which competitor is capturing the top spot in those answers?

Allianz Life: Largest Prior-Month Riser

Allianz Life posted the largest single-month gain in the September series, rising 40.9 points from 21.7% in August to 62.6%. This recovery brought the brand back near its July level of 64.6%, a difference of 2.0 points that is not statistically significant.

Raw mention presence rose to 76.2% in September from 70.7% in July. The top-three rate fell 7.2 points to 48.5% against baseline, and the rank-one rate dropped 10.5 points from 21.5% to 11.0%, the latter a significant decline.

The distinction to notice: Allianz Life recovered its coverage breadth but not its top placement. The brand is recommended almost as often as in July, but when it appears, it is less likely to be the first choice. The surge from August represents a return of visibility, while the placement shift signals a different kind of change.

Highest-priority diagnostic: Which prompt types now surface Allianz Life at all, and what distinguishes the prompts where it ranks first from those where it ranks lower?

New York Life: Significant Baseline Decline, Strongest Rank-One Rate

New York Life's coverage fell 8.9 points from 71.5% in July to 62.6% in September, a significant decline against baseline. The brand gained 17.9 points from August's 44.7%, making the September position a partial recovery.

The notable shift is in placement. The rank-one rate rose 8.2 points from 19.1% in July to 27.3% in September, a significant gain, giving New York Life the highest rank-one rate in the category. The top-three rate held steady at 47.1%, down 2.5 points from July.

The distinction to notice: New York Life is recommended in fewer answers than in July, but when it is recommended, it is more likely to be the top choice. The brand converted a narrower presence into stronger placement, a pattern distinct from MassMutual's broad-but-lower placement.

Highest-priority diagnostic: Which prompts account for the coverage decline, and what is driving the higher rank-one conversion in the prompts New York Life still wins?

Corebridge Financial: Significant Baseline Decliner

Corebridge Financial's coverage fell 10.1 points from 20.7% in July to 10.6% in September, a significant decline. The brand rose 5.6 points from August's 5.0%, a gain above the significance threshold but not enough to offset the baseline loss.

Raw mention presence dropped 10.2 points from 25.6% to 15.4%, also significant. The top-three rate fell to 3.1% from 5.7%, and the rank-one rate stood at 0.0% in September, down from 0.4% in July. Valid recommendation counts reached 24 in September, up from 8 in August but well below July's 51.

The distinction to notice: Corebridge Financial's current coverage of 10.6% represents 24 valid recommendations, a small but real presence. The brand remains outside the top tier, and its rank-one rate of zero indicates it is rarely the lead recommendation.

Highest-priority diagnostic: Which prompts still recommend Corebridge Financial, and what distinguishes them from the prompts where the brand disappeared between July and September?

Pacific Life: Largest Prior-Month Decliner

Pacific Life fell 10.1 points from 31.7% in August to 21.6% in September, the largest single-month decline in the category. Against the July baseline of 22.4%, the movement is a 0.8-point difference, not significant. Valid recommendation counts moved from 51 in August to 49 in September.

Raw mention presence fell to 26.0% from 31.3% in July. The top-three rate declined 2.8 points to 5.3%, and the rank-one rate fell 1.1 points to 1.8%. All changes against baseline are below significance thresholds.

The distinction to notice: Pacific Life's September decline is a return to its July position after a single-month August spike. The brand's absolute counts held roughly steady, meaning the percentage movement reflects the larger qualified denominator in September rather than a loss of actual recommendations.

Highest-priority diagnostic: Did Pacific Life's August gain come from a narrow question set that did not repeat in September, and which competitors took those placements?

Other Brands: Stable Against Baseline

Athene held essentially flat against baseline, at 56.0% versus 56.1%, despite the sharp August dip and a 34.9-point recovery. Nationwide moved down 2.8 points to 58.6%, MassMutual down 5.7 points to 68.3%, Lincoln Financial down 1.2 points to 20.7%, and Allianz Life down 2.0 points to 62.6%.

Fidelity's coverage declined 3.2 points to 4.9%, with raw mention presence down 11.4 points from 28.1% to 16.7%, a significant presence decline. Brighthouse Financial remained at the bottom with 1.8% coverage, representing 4 valid recommendations, up from zero in August.

The distinction to notice: for most brands, the September position is close to July, with August appearing as a temporary compression. Fidelity's falling presence across all three months stands out as the category's most consistent downward trend, though its absolute counts remain small.

Highest-priority diagnostic: What is driving Fidelity's sustained presence decline across three months, and does it reflect a change in how AI systems answer annuity prompts?

Buyer-Intent Interpretation

In September 2026, all 227 qualified observations fell into the Brand Recommendation cluster, matching the distribution seen in July and August. The Pricing & Value and Multi-Brand Comparison clusters had zero qualified observations. The public benchmark continues to measure which brand AI systems recommend for annuity purchase decisions, but it cannot yet answer price sensitivity, fee transparency, or direct head-to-head comparison questions. Those commercial questions remain outside the 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 capturing the query, the AI surface used, the recommendation outcome, the rank position, the sentiment expressed, and the citations exposed where available. 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

• The September 2026 qualified set of 227 observations sits between July's 246 and August's 161. Percentage movements on smaller counts can overstate the size of a change in absolute terms, and the August figures in particular should be read with this caveat.
• The public metrics use the qualified denominator, not the raw collection of 800 prompts. Recommendation percentages reflect the qualified analysis set only.
• Movement between months indicates where to investigate, not what caused the change. The August compression and September recovery could reflect prompt mix, surface behavior, or competitive shifts, and the benchmark alone cannot distinguish among these.

Next Step

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

Beneath the aggregate percentages sit the questions that matter: which high-intent prompts are won, which competitor takes the recommendation when a brand loses, what attributes AI associates with each option, and which external sources shape those answers. The September 2026 divergence between coverage rates and placement rates across the annuities category raises these questions for every brand, whether leading or mid-tier.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. The benchmark shows the movement; the audit explains the mechanics.

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