How AI Search Is Recommending Credit Monitoring: Monthly Trends

Executive Summary

The leadership picture held in October 2026, but the distance closed. Aura remains the coverage leader at 65.0%, down 3.2 points from September 2026, and the gap to second-place LifeLock at 51.0% now sits at 14.0 points, even as Aura's down streak extended to three months. Competitors at the top are not the story this month. The story is the middle of the category, where two brands posted double-digit declines and one posted a double-digit gain.

myFICO is the strongest upward mover with coverage present in the benchmark: valid recommendation coverage reached 31.0% in October 2026, up 11.0 points from 20.0% in July 2026, a rise that is significant against the threshold and its third consecutive monthly increase. Within that, myFICO's top-three rate climbed to 18.7% from 9.5%, and its rank-one rate reached 4.9% from 4.0%, with 26 first-place placements across 535 qualified observations. Credit Karma and Experian also qualified as significant risers from the baseline, at 34.8% and 44.3% respectively.

IDShield is the sharpest decliner with coverage, falling to 18.1% in October 2026 from 32.8% in July 2026, a 14.7-point drop that is significant and its third straight monthly decline. The fall was concentrated in presence rather than placement: raw mention presence dropped to 23.2% from 37.9%. IdentityForce posted the second-largest baseline-to-current decline at 13.5 points, to 33.1%, and LifeLock's 11.7-point slide to 51.0% extended its own three-month down streak.

Against the prior month, the category is mixed rather than quiet. IDShield fell 5.2 points from September 2026 in the only significant single-month decline among tracked brands, while myFICO rose 6.0 points to 31.0% in a significant single-month gain. Aura's 3.2-point September-to-October dip and LifeLock's 4.5-point dip both fell within normal month-to-month variation. Read across the full series, October 2026 continues a pattern visible since July: the leader and the number-two brand are easing, the credit-bureau and scoring brands are gaining, and the identity-protection middle tier is splitting apart.

Each monthly run begins with 800 prompt-surface observations (506 unique questions) across the benchmark's defined AI/search surface universe. Of those, 800 mentioned a tracked brand or competitor; 787 were relevant and 13 were irrelevant. The public metrics use the 535 observations that survive both qualification stages. The July 2026 baseline month began with the same 800 prompt-surface observations (458 unique questions), of which 790 were relevant and 10 were irrelevant, leaving 494 qualified observations for the public metrics. August 2026 and September 2026 qualified 511 and 557 observations respectively.

Key Findings

AI Response Inconsistency Alerts

Questions This Section Answers

• Which credit monitoring brands had the most conflicting claims across AI platforms this month?
• Where did AI platforms disagree about identity theft insurance limits?
• What pricing and plan details produced conflicting AI answers?

The benchmark's conflict detection surfaced 18 critical or high-severity factual inconsistencies across 8 AI platform identifiers in the current collection, spanning 6 tracked companies.

LifeLock

AI platforms provided conflicting information about LifeLock's three-bureau credit monitoring availability. When asked "Who is better than LifeLock?", ChatGPT stated that LifeLock offers 3-bureau monitoring on higher tiers, not only its most expensive plan, citing Aura's LifeLock alternatives page, CNBC Select, and Security.org; AI Mode stated that LifeLock only does 3-bureau monitoring on its "Ultimate Plus" plan, citing CNET, Aura's Aura vs LifeLock page, and a YouTube comparison. Flagged sources included a SecurityHero comparison page and Aura's Aura vs LifeLock page, both supporting the "Ultimate Plus only" position.

Responses differed on LifeLock's monthly price. When asked "What credit monitoring service is best?", AI Mode stated a starting point of roughly $7.50 or more per month, citing Money.com, Aura, and LifeLock's own learn page; Copilot stated $34 per month, citing SecurityHero, The Opt Out Project, and Security.org. A flagged SecurityHero source supported the higher figure.

AI platforms also conflicted on LifeLock's maximum identity theft insurance. When asked "What is the best identity protection product?", Gemini stated up to $5 million in total coverage ($1 million per adult) on family plans, citing SafeHome.org, All About Cookies, and Aura; AI Mode stated a $1 million to $3 million range depending on plan, citing Aura, Money.com, and Security.org. Flagged sources split between the two positions.

A further insurance conflict appeared when asked "What is the best identity theft insurance?", where AI Overviews stated up to $1 million per adult or child, citing CNBC Select, Experian, and Security.org, while AI Mode described tiered coverage scaling to $3 million total, citing Forbes, Security.org, and a Reddit thread. Separately, when asked "What is the best protection against identity theft?", AI Overviews stated plans providing up to $3 million in insurance while Copilot stated a $25,000 to $1 million range, both drawing on overlapping Forbes, Security.org, and CNBC sources, with a TopConsumerReviews page flagged for the lower figure.

Two keyword-variant conflicts rounded out the LifeLock set. When asked "what are the best identity theft protection services", AI Mode keywords stated up to $5 million in insurance for family plans while AI Overviews keywords stated up to $3 million on top-tier plans. When asked "best id theft protection", AI Mode keywords stated up to $3 million total coverage while AI Overviews keywords stated up to $1 million in coverage.

Aura

AI platforms provided conflicting information about Aura's starting monthly price. When asked "What's the best credit monitoring?", Gemini stated Aura starts around $10 to $13 per month depending on plan, citing YouTube reviews and an Aura learn page; Copilot stated $15 to $45 per month, citing Business Insider and two aggregator sites. A separate conflict on the same topic appeared when asked "What is the best credit monitoring service?", where Gemini stated a paid average of $10 to $15 per month while Copilot stated $30 or more per month, with a CNET page and an Axis Intelligence page flagged on opposing sides.

Responses differed on Aura's maximum insurance coverage. When asked "What's better than aura?", AI Overviews stated $1 million to $5 million total, citing Aura's Aura vs LifeLock page and third-party reviews, while Copilot stated that Aura caps reimbursement at $1 million per member, citing Gizmodo, All About Cookies, and Incogni. Flagged sources included Aura's own comparison page and SecurityHero pages covering the $5 million position.

A further insurance conflict appeared when asked "Which identity theft protection is best?", where ChatGPT stated $1 million of identity-theft insurance, citing Aura's product page, LifeLock's site, and IdentityForce pricing, while AI Mode stated up to $5 million in family coverage, citing Aura and Forbes. When asked "What is the best company to protect against identity theft?", AI Overviews stated up to $1 million per adult while Copilot stated up to $5 million on the family plan. A final conflict on the same question re-ran the $1 million to $5 million versus $1 million split between AI Overviews and Gemini.

IdentityForce

AI platforms conflicted on IdentityForce's maximum identity theft insurance. When asked "What's better than aura?", AI Overviews stated up to $1 million while Gemini stated up to $2 million on premium plans, with Aura and SecurityHero pages flagged. When asked "Is there a better alternative to LifeLock?", Gemini again stated up to $2 million while Copilot stated $1 million, citing Finder, SafeHome, Norton, CyberNews, and NerdBible sources, one of which was flagged for supporting the $1 million figure.

Experian

AI platforms provided conflicting information about Experian's bureau coverage. When asked "What is the best credit monitoring service out there?", AI Overviews stated that Experian offers paid three-bureau monitoring, citing Experian's own credit monitoring page, Money.com, and Investopedia, while Copilot stated that Experian only monitors one bureau, limiting full coverage, citing Financapedia, Business Insider, and SuccessCentral. A flagged Investopedia source supported the three-bureau position.

Identity Guard

AI platforms conflicted on Identity Guard's underlying technology. When asked "What's the difference between LifeLock and Identity Guard?", AI Mode stated that Identity Guard is powered by Aura's technology framework, citing Incogni, US News Money, and Security.org, while Perplexity stated that Identity Guard uses IBM Watson AI for identity monitoring, citing Security.org, Incogni, and Aura's own comparison page. Flagged sources on each side carried both claims.

myFICO

AI platforms differed on free plan availability. When asked "What is the best app for checking my credit score?", ChatGPT stated that myFICO now has a free plan providing a FICO Score 8 based on Equifax data updated monthly, citing Experian and myFICO's own site, while Copilot stated pricing of $19.95 to $39.95 per month with no free plan mentioned, citing The Credit Edge, Haznos, and BusinessProTech. A flagged myFICO page supported the free-plan position.

Benchmark Context

Questions This Section Answers

• How many prompt-surface observations qualified for the October 2026 benchmark, and how does that compare with July?
• What is the difference between the collected observations and the qualified benchmark set used for brand percentages?

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

The qualification funnel widened the public denominator from 494 observations in July 2026 to 535 in October 2026, while the underlying collection size and surface breadth stayed constant across both months.

Benchmark-Level Metrics

The August 2026 and September 2026 months took the qualified set to 511 and 557 observations before it settled at 535 in October 2026. Recommendation-shaped answer share moved most in the intermediate months, easing to 42.3% in August and 42.4% in September before the October jump to 53.6%.

AI Recommendation Trend

Questions This Section Answers

• Who leads credit monitoring recommendation coverage in October 2026, and which brands gained or lost?
• How much did the leader and number-two brand decline from the July 2026 baseline?
• Which brands ranked in the middle of the category, and how did their coverage move?

The Leader Eases While the Middle Tier Splits Between Risers and Decliners

No single brand accounts for the category-level change. September to October moved the leader down 3.2 points, the number-two brand down 4.5 points, and the rest of the tracked field moved in mixed directions, so the net effect comes from the combination of several smaller movements rather than one dominant shift.

What Changed This Month

Questions This Section Answers

• Which brand posted the largest single-month recommendation gain, and what drove it?
• Which brand declined most sharply this month, and was the drop in presence or placement?
• Why did LifeLock's first-place rate rise even as its recommendation coverage fell?

Aura: Leader Holds, Ranking Strength Erodes

Aura's valid recommendation coverage eased to 65.0% in October 2026 from 73.1% in July 2026, a significant 8.1-point decline across three straight monthly drops. The September-to-October step was 3.2 points, which is inside normal month-to-month variation for the brand. Raw mention presence fell to 81.9% from 88.9% over the series, a 7.0-point decline.

Placement depth moved more than coverage. Aura's top-three rate fell to 58.9% from 66.4%, and its rank-one rate dropped to 38.1% from 52.8%, a 14.7-point decline that is the largest of any supporting metric in the series. In absolute terms the brand still earned 315 top-three placements and 204 first-place placements across 535 qualified observations, so it retains the deepest recommendation position in the category despite the erosion.

The distinction to note is that Aura's coverage decline and its ranking decline are different signals. The brand remains present in the large majority of answers and still leads the category by a wide margin; what has changed is how often AI systems place it first rather than how often they mention it at all.

Highest-priority diagnostic: Which prompts and surfaces account for the rank-one decline while coverage holds at 65.0%?

myFICO: Third Straight Gain, Now Significant from Baseline

myFICO's valid recommendation coverage rose to 31.0% in October 2026 from 20.0% in July 2026, an 11.0-point increase that is significant against the threshold and the brand's third consecutive monthly gain. The September-to-October step of 6.0 points was itself significant, making myFICO the only brand in the category to post a significant single-month rise this month.

The gain came through both presence and placement. Raw mention presence climbed to 36.8% from 23.7%, a 13.1-point increase, and the top-three rate more than doubled to 18.7% from 9.5%. Rank-one placements reached 4.9% from 4.0%, with 26 first-place placements, up from 20 in July 2026, against a qualified pool that grew from 494 to 535 observations. The valid recommendation count rose to 166 from 99.

myFICO's move is the clearest evidence in the current data that a brand can expand from a modest base into the middle of the category in a single quarter. The absolute counts remain moderate, which means the percentage movement should be read alongside the 166 valid recommendations rather than on its own.

Highest-priority diagnostic: Which buyer-intent prompts moved myFICO from present to recommended, and are those the same prompts where the top-three rate doubled?

IDShield: Sharpest Decliner, Third Consecutive Drop

IDShield's valid recommendation coverage fell to 18.1% in October 2026 from 32.8% in July 2026, a significant 14.7-point decline and the largest baseline-to-current drop in the category. The September-to-October step of 5.2 points was also significant, the only significant single-month decline among tracked brands, and the third consecutive monthly drop.

The fall is concentrated in presence. Raw mention presence dropped to 23.2% from 37.9%, a 14.7-point decline, while the recommended top-three rate eased only to 3.7% from 4.7%, a change inside its threshold. Valid recommendation count fell to 97 from 162 as the qualified pool grew. Rank-one placements remained at 0.0% in both months.

The visible-versus-recommended gap has narrowed from the wrong direction. IDShield was previously present in more than a third of answers while rarely earning top-three placement; it is now present in under a quarter of answers and still rarely earns top-three placement. The distinction worth holding is that the decline is a presence problem first, with placement weakness unchanged in kind.

Highest-priority diagnostic: Which AI surfaces drove the mention-presence collapse, and which competing brand absorbed IDShield's recommendation share?

IdentityForce: Two-Phase Decline, One Small Rebound

IdentityForce's valid recommendation coverage fell to 33.1% in October 2026 from 46.6% in July 2026, a significant 13.5-point decline. The series shows two distinct phases: a steep 10.8-point drop into August 2026, followed by a slower decline to 32.3% in September and a marginal 0.8-point rebound in October that remains inside normal variation.

Presence fell further than placement. Raw mention presence dropped to 38.5% from 54.4%, a 15.9-point decline, while the top-three rate eased to 19.2% from 23.5%, a change inside its threshold. Rank-one placements stayed at 0.0% in both months. The valid recommendation count fell to 177 from 230 against a larger qualified pool.

IdentityForce is an example of a brand whose recommendation losses track mention losses closely rather than reflecting a sudden loss of standing when it appears. That pattern points to question coverage rather than selection bias.

Highest-priority diagnostic: Which prompt categories stopped surfacing IdentityForce at all between July and August 2026?

LifeLock: Coverage Eases, First-Place Placements Strengthen

LifeLock's valid recommendation coverage fell to 51.0% in October 2026 from 62.7% in July 2026, a significant 11.7-point decline across three straight monthly drops, including a 4.5-point September-to-October step that sits inside normal variation. Raw mention presence declined to 68.0% from 81.2%.

The split signal is in placement. The top-three rate fell to 43.9% from 53.0%, a significant 9.1-point decline, but the rank-one rate rose to 9.3% from 3.2%, a significant 6.1-point gain, with 50 first-place placements versus 16 in July 2026. The brand earned 235 top-three placements in October 2026, down from 262 in July 2026, while the qualified pool grew.

The reader should hold two facts at once: LifeLock is appearing in fewer recommendation shortlists, and when it is selected it is more often selected first. The category observation is that the second-place position is becoming narrower in coverage but stronger at the top of the list.

Highest-priority diagnostic: Which surfaces reduced LifeLock's shortlist inclusion while increasing its first-place placement rate?

Experian and Credit Karma: Two Risers Moving Together

Experian's valid recommendation coverage rose to 44.3% in October 2026 from 35.6% in July 2026, a significant 8.7-point gain, and Credit Karma's rose to 34.8% from 28.9%, a significant 5.9-point gain. Credit Karma's September-to-October step of 5.4 points was just under its significance threshold, so its move is best read across the full series rather than as a single-month event.

Both brands gained on presence and on placement. Experian's raw mention presence reached 88.0% from 72.7%, a 15.3-point increase, and its top-three rate rose to 34.0% from 24.5%. Credit Karma's mention presence reached 49.7% from 42.7%, and its top-three rate climbed to 28.4% from 16.2%, with rank-one placements rising to 11.0% from 4.2%. Experian's rank-one rate moved 3.1 points to 14.2%, inside its threshold.

The category observation is that the credit bureau and scoring side of the field is strengthening while the identity protection middle tier is dividing. Experian now sits third by coverage and Credit Karma fourth, with both moving up in the same window.

Highest-priority diagnostic: Which prompt types drove the simultaneous presence and placement gains for both brands, and did they draw on the same evidence sources?

Identity Guard, Chase Credit Journey, and PrivacyGuard: Declining or Flat

Identity Guard's valid recommendation coverage fell to 28.4% in October 2026 from 37.9% in July 2026, a significant 9.5-point decline that arrived almost entirely in the July-to-August step of 9.1 points; the September-to-October step was 1.6 points, inside normal variation. Raw mention presence dropped to 32.9% from 46.0%. Rank-one placements held at 0.4% versus 0.6%.

Chase Credit Journey's coverage moved to 3.9% from 5.9%, a 2.0-point decline that is not significant, with 21 valid recommendations and 53 mention observations. PrivacyGuard's coverage moved to 4.1% from 4.0%, a 0.1-point change, with 22 valid recommendations and 29 mention observations. Both brands carry small absolute counts, so their percentage movements should be read with that in mind.

Highest-priority diagnostic: For Identity Guard, which prompts and evidence sources changed between July and August 2026; for the two smallest brands, whether the current counts support any directional read at all.

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters did October 2026's qualified observations fall into?
• What commercial questions about pricing, plan value, and head-to-head comparisons can the current benchmark not yet answer?

In October 2026, all 535 qualified observations fell into the Brand Recommendation cluster, with no observations qualifying in the Pricing & Value or Multi-Brand Comparison clusters. The current mix means the public benchmark measures which brands AI systems recommend most often across the full prompt set. It cannot yet answer commercial questions about price positioning, plan-level value, or direct head-to-head comparison outcomes, even though the conflict data shows those questions are being asked and are producing inconsistent answers across platforms. Those questions require 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 CiteWorks Studio's AI Visibility Industry Market research program.

• AI Visibility Industry Market Methodology
• AI Visibility Industry Market Metrics
• AI Visibility Industry Market Standards

Report-Specific Interpretation Notes

• Small-count movements: Chase Credit Journey (21 valid recommendations in October 2026) and PrivacyGuard (22) carry high uncertainty; their percentage movements should be read with caution.
• Qualified denominator: Brand-level percentages use the 535 qualified observations for October 2026 and 494 for the July 2026 baseline.
• 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 October 2026.

Next Step

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

The aggregate percentages answer which brands AI systems recommend most often, but they do not answer the 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? The conflict data in this month's collection shows those questions are being asked and are producing materially different answers across platforms.

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 moved, but which prompts, which surfaces, and which competing options drove the change.

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