How AI Search Is Recommending Credit Monitoring: Monthly Trends

Executive Summary

Aura remains the coverage leader in AI search recommendations for credit monitoring, holding 68.2% valid recommendation coverage in September 2026. The gap to the next brand, LifeLock at 55.5%, stands at 12.7 points. Aura's position has held across a two-month down streak, easing from 73.1% in July 2026 to 68.2% in September 2026 — a movement that falls within normal month-to-month variation for the brand — though its rank-one rate moved more sharply, from 52.8% to 38.6%, a 14.2-point shift.

The category's sharpest movement belongs to IdentityForce, which posted a 14.3-point drop in valid recommendation coverage from 46.6% in July 2026 to 32.3% in September 2026. This follows a wider pattern of pullback among mid-tier identity protection brands, with Identity Guard down 7.9 points and IDShield down 9.5 points over the same period. LifeLock, the number two brand, also slipped 7.2 points from 62.7% to 55.5%.

Against the prior month, most brands held steady. Chase Credit Journey posted the only significant single-month move, a 3.3-point decline in valid recommendation coverage from 7.4% in August to 4.1% in September 2026. The September 2026 results show the category settling after August's larger swings, with the baseline-to-current declines concentrated among protection-focused brands while credit bureau and scoring services held steadier ground.

The current benchmark reflects qualified AI-search observations across the credit monitoring category. September 2026 includes 557 qualified observations across six canonical AI surface families, up from 494 qualified observations in the July 2026 baseline month, drawn from the same ten tracked brands in both periods.

Key Findings

Benchmark Context

Brand-level recommendation percentages in this report are calculated within the qualified benchmark set for each month, shown here alongside the surface breadth achieved.

Benchmark-Level Metrics

The figures below aggregate all ten tracked brands and are not driven by any single company's movement.

The intermediate August 2026 month saw the qualified set grow to 511 observations before settling at 557 in September 2026, even as the ten-brand roster held constant across all three months.

AI Recommendation Trend

Aura Holds the Lead as Mid-Tier Brands Pull Back

Aura's 68.2% coverage still leads LifeLock's 55.5% by 12.7 points, but the three-month series shows the middle of the category compressing: IdentityForce's 14.3-point decline stands apart, and the simultaneous pullback across IDShield, Identity Guard, and LifeLock reflects a difference in the current output distribution among protection-focused brands relative to credit bureau and scoring services.

What Changed This Month

IdentityForce: Sharpest Decliner, Two-Month Slide

IdentityForce's valid recommendation coverage fell from 46.6% in July 2026 to 32.3% in September 2026, a 14.3-point drop that marks the largest movement in the category. The brand's rank-one rate stayed at 0.0% in both months, meaning not a single qualified observation placed IdentityForce first. Its recommended top-three rate slipped from 23.5% to 18.7%, while raw mention presence dropped from 54.5% to 41.3%.

The decline was not concentrated in a single month. IdentityForce fell 10.8 points from July to August 2026 and a further 3.5 points from August to September 2026, creating a two-month downward streak. The brand's valid recommendation count dropped from 230 in July 2026 to 180 in September 2026, even as the qualified observation pool grew from 494 to 557.

The distinction to notice is that IdentityForce remains widely present in AI answers (41.3% mention presence) but is recommended less often. This suggests the brand is being surfaced in comparisons and discussions yet losing the recommendation moment itself.

Highest-priority diagnostic: Which prompt patterns and competitor brands are capturing the recommendation when IdentityForce appears but is not selected?

IDShield: Presence Down, Coverage Follows

IDShield's valid recommendation coverage fell from 32.8% in July 2026 to 23.3% in September 2026, a 9.5-point decline. The brand's raw mention presence dropped from 37.9% to 28.9%, and its valid recommendation count declined from 162 to 130 observations. IDShield recorded zero rank-one placements in both months.

The movement followed the same pattern as IdentityForce: a steep July-to-August drop of 9.1 points, then a milder 0.4-point decline from August to September 2026. IDShield's recommended top-three rate held nearly steady at 4.5% versus 4.7% at baseline, indicating the brand's challenge lies in breadth of recommendation rather than depth of placement when it does appear.

The visible-versus-recommended gap is pronounced here. IDShield appears in 28.9% of answers but earns top-three placement in only 4.5%, a pattern consistent with being named as an option rather than the recommended choice.

Highest-priority diagnostic: In which AI surfaces did IDShield's mention presence fall most sharply, and which competitor captured its recommendation share?

Identity Guard: Significant Decline, Partial Recovery

Identity Guard's valid recommendation coverage dropped from 37.9% in July 2026 to 30.0% in September 2026, a 7.9-point decline that qualifies as significant. The largest single-month move came between July and August 2026, a 9.1-point drop, followed by a partial 1.2-point recovery from August to September 2026.

The brand's raw mention presence fell from 46.0% to 35.5% over the full series, and its recommended top-three rate declined from 21.7% to 14.4%. Identity Guard's valid recommendation count went from 187 in July 2026 to 147 in August 2026, then recovered slightly to 167 in September 2026. Its rank-one rate remained minimal at 0.2% versus 0.6% at baseline.

The distinction worth noting is that Identity Guard's net sentiment stayed high at 0.9 in both baseline and current months. The brand is not being discussed negatively; it is being discussed less often and recommended less prominently.

Highest-priority diagnostic: Which external sources or prompt types drove the August drop in Identity Guard's mention presence, and did any recover in September?

LifeLock: Coverage Slips While Rank-One Gains

LifeLock's valid recommendation coverage fell from 62.7% in July 2026 to 55.5% in September 2026, a 7.2-point decline. The brand recorded a two-month downward streak, with coverage easing 3.0 points from July to August and a further 4.2 points from August to September 2026. Its raw mention presence declined from 81.2% to 72.4%.

The counterintuitive finding is LifeLock's rank-one rate. While coverage fell, LifeLock's rank-one placements increased from 3.2% in July 2026 to 9.3% in September 2026, a 6.1-point gain. The brand's valid recommendation count slipped from 310 to 309 observations despite a larger qualified pool, showing its share compressed as the benchmark grew.

The reader should notice the split signal: LifeLock is winning more first-place recommendations but appearing in fewer total recommendation shortlists. The net effect is lower overall coverage alongside stronger top placement when it is chosen.

Highest-priority diagnostic: Which AI surfaces shifted toward naming LifeLock first, and which surfaces reduced its inclusion in recommendation shortlists?

myFICO: Steady Two-Month Rise

myFICO stands as the category's most consistent upward mover, with valid recommendation coverage rising from 20.0% in July 2026 to 25.0% in September 2026, a 5.0-point gain across a two-month up streak. The brand added coverage in both intermediate months, moving from 20.0% to 24.9% in August and edging up to 25.0% in September.

The gains came from broader presence rather than stronger placement. myFICO's raw mention presence jumped from 23.7% to 32.9% over the series, a 9.2-point increase. Its valid recommendation count climbed from 99 in July 2026 to 139 in September 2026. The brand's rank-one rate dipped slightly from 4.0% to 3.6%, and its top-three rate rose modestly from 9.5% to 10.8%.

myFICO's story is one of expanding visibility translating into more frequent recommendation, even as its placement depth within shortlists remains modest. The brand is becoming a more standard part of AI answers about credit monitoring.

Highest-priority diagnostic: Which prompt categories drove myFICO's mention-presence increase, and are those the same prompts where it converts to a recommendation?

Buyer-Intent Interpretation

In September 2026, all 557 qualified observations fell into the Brand Recommendation cluster, with no observations qualifying in the Pricing & Value or Multi-Brand Comparison clusters. This means the public benchmark measures which brands AI systems recommend most often across the full prompt set, but it cannot currently answer commercial questions about price positioning, plan-level value, or direct head-to-head comparison outcomes. Those questions require a deeper company-level analysis beyond the aggregate recommendation benchmark.

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, AI surface, recommendation outcome, rank, sentiment, and citations where exposed. Company-level analysis can go deeper into which prompts a brand wins, which competitors take the recommendation when it loses, and which external sources shape those answers. 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 movements: PrivacyGuard (21 valid recommendations in September 2026) and Chase Credit Journey (23) carry high uncertainty; their percentage movements should be read with caution.
• Qualified denominator: Brand-level percentages use the qualified set of 557 observations for September 2026 (494 for July 2026).
• Directional analysis: Month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes.
• Surface breadth: The six canonical AI surface families (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode) all qualified in September 2026.

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 answer which brands AI systems recommend most often, but they do not answer the commercial questions beneath the surface. Which high-intent prompts does a brand win consistently, and where does it lose? When a brand is not recommended, which competitor takes the recommendation? What attributes do AI systems associate with each option, and which external sources shape those answers? These are the questions that turn benchmark movement into actionable strategy.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It identifies not just that coverage declined, but which prompts, which surfaces, and which competitors drove the change.

Request an AI visibility audit