Credit Monitoring AI Visibility Ranking Trends - November 2026

Answer capsule

The November 2026 Credit Monitoring benchmark compares 10 companies across 536 AI answers that met its inclusion rules. Aura leads with 339 recommendations (63.25% of answers). At least one tracked company was recommended in 376 answers; some answers recommended several companies.

The rankings distinguish being mentioned from receiving an affirmative recommendation, then examine placement and the wording used about each company. Earlier monthly results show how counts and rates changed, with each month using its own answer total. These results describe the answers reviewed, not product quality or customer satisfaction. Differences between monthly samples limit comparisons and do not establish why a result changed.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Credit Monitoring

Industry leaderboard

Questions This Section Answers

• How do Credit Monitoring rank by recorded AI recommendations in November 2026?

The leaderboard orders companies by how many answers recorded an affirmative recommendation, so it measures endorsement volume rather than visibility alone. A company can appear often yet be recommended less often, which is why mention counts and recommendation counts answer different questions.

Ties are possible when recommendation counts are equal; none appear at the top of this table. Placement figures are nested inside recommendations, so first-place results are a subset of shortlist results and should not be summed with them.

Key findings

Tracked-company answer coverage

Questions This Section Answers

• How often did the November 2026 Credit Monitoring answer sample recommend any tracked company?

376 distinct answers recommended at least one tracked company. Counting each company recommendation separately gives 1298, because an answer can recommend several companies. Answers with no tracked recommendation may still have recommended companies outside this comparison.

Every qualified answer mentioned at least one tracked company, but only a majority of answers recommended one. Because a single answer can endorse several companies, the number of company-level recommendations exceeds the number of answers carrying any recommendation.

This overlap means company totals cannot be added into a market-wide count. Answers without a tracked recommendation may still have named companies outside this comparison, so the coverage figures describe this tracked set only.

Reach and affirmative recommendation

Aura ranks 1 by recommendation count. Mentions: 475 (88.62%); recommendations: 339 (63.25%). Top 3 placements: 270 (50.37%); first-place placements: 188 (35.07%).

Wording about the company: 361 positive, 112 neutral, 2 negative mentions. The proportion of mentions that also included a recommendation was 71.4%. The net framing score was 0.76 (defined in Methodology).

136 mentions had no recorded recommendation. Of recorded recommendations, 79.65% were Top 3 and 55.46% were first-place.

Aura illustrates why mention and recommendation must be read separately: it appears in most answers and is endorsed in a smaller but still substantial share. The gap between the two counts represents mentions that carried no recorded recommendation.

Among Aura's recorded recommendations, most were shortlisted and a majority of those were placed first. These are nested subsets of the same recommendation base, not separate wins, and they describe answer wording rather than customer behavior.

Recommendation order and placement

The recommendation-to-mention ratio shows how often an appearance in an answer also carried an affirmative endorsement. Aura and IDShield record the highest ratios, while Chase Credit Journey records a low one; each ratio describes the recorded answers, not sales or conversion.

Shortlist and first-place counts sit inside recommendation counts. Identity Guard and Chase Credit Journey record no first-place placements, and PrivacyGuard records no first-place placements despite a nonzero recommendation base.

Classified framing in context

Framing classifies the wording surrounding each mention as positive, neutral or negative. Most companies here are framed positively more often than neutrally, with negative wording rare or absent; Experian Insurance and Chase Credit Journey are framed neutrally in most of their mentions.

Framing is not customer sentiment or an assessment of company quality, and it does not explain why a recommendation was or was not recorded. Neutral wording can accompany a recommendation or appear without one.

Company results in detail

Aura

Questions This Section Answers

• What do the November 2026 AI answer results show about Aura mentions, recommendations and placement?

Aura ranks 1 by recommendation count. Mentions: 475 (88.62%); recommendations: 339 (63.25%). Top 3 placements: 270 (50.37%); first-place placements: 188 (35.07%).

Wording about the company: 361 positive, 112 neutral, 2 negative mentions. The proportion of mentions that also included a recommendation was 71.4%. The net framing score was 0.76 (defined in Methodology).

136 mentions had no recorded recommendation. Of recorded recommendations, 79.65% were Top 3 and 55.46% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

Aura leads on recommendation count and also records the highest mention reach in this set. Its recommendation-to-mention ratio is strong, meaning most appearances carried an endorsement rather than a bare mention.

Wording around Aura is overwhelmingly positive, with few negative mentions. Its first-place placements form a large share of its recommendations, though they remain a subset of shortlist placements rather than an additional category. No prior-month comparison is available.

LifeLock

Questions This Section Answers

• What do the November 2026 AI answer results show about LifeLock mentions, recommendations and placement?

LifeLock ranks 2 by recommendation count. Mentions: 432 (80.60%); recommendations: 266 (49.63%). Top 3 placements: 212 (39.55%); first-place placements: 62 (11.57%).

Wording about the company: 282 positive, 147 neutral, 3 negative mentions. The proportion of mentions that also included a recommendation was 61.6%. The net framing score was 0.65 (defined in Methodology).

166 mentions had no recorded recommendation. Of recorded recommendations, 79.70% were Top 3 and 23.31% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

LifeLock ranks second on recommendation count with broad mention reach. Its recommendation-to-mention ratio is solid but below Aura's, indicating a larger share of appearances without endorsement.

Framing is mostly positive with a sizable neutral portion and very few negative mentions. First-place placements are a modest fraction of its recommendations, so its strength lies more in shortlisting than in leading an answer. No prior-month comparison is available.

IdentityForce

Questions This Section Answers

• What do the November 2026 AI answer results show about IdentityForce mentions, recommendations and placement?

IdentityForce ranks 3 by recommendation count. Mentions: 242 (45.15%); recommendations: 146 (27.24%). Top 3 placements: 90 (16.79%); first-place placements: 2 (0.37%).

Wording about the company: 153 positive, 89 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 60.3%. The net framing score was 0.63 (defined in Methodology).

96 mentions had no recorded recommendation. Of recorded recommendations, 61.64% were Top 3 and 1.37% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

IdentityForce holds a mid-table recommendation count on moderate mention reach. Its recommendation-to-mention ratio is comparatively high, suggesting that when it appears it is often endorsed.

Framing is positive or neutral with no negative mentions recorded. First-place placements are rare relative to its recommendations, so its profile is built on shortlist presence rather than top position. No prior-month comparison is available.

Identity Guard

Questions This Section Answers

• What do the November 2026 AI answer results show about Identity Guard mentions, recommendations and placement?

Identity Guard ranks 4 by recommendation count. Mentions: 256 (47.76%); recommendations: 139 (25.93%). Top 3 placements: 57 (10.63%); first-place placements: 0 (0.00%).

Wording about the company: 152 positive, 104 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 54.3%. The net framing score was 0.59 (defined in Methodology).

117 mentions had no recorded recommendation. Of recorded recommendations, 41.01% were Top 3 and 0.00% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

Identity Guard records a recommendation count close to IdentityForce's but with slightly broader mention reach and a lower recommendation-to-mention ratio, meaning more appearances went unendorsed.

Its framing is positive or neutral with no negative mentions. It records no first-place placements at all, so its recommendations are concentrated in shortlist positions rather than the top slot. No prior-month comparison is available.

Experian Insurance

Questions This Section Answers

• What do the November 2026 AI answer results show about Experian Insurance mentions, recommendations and placement?

Experian Insurance ranks 5 by recommendation count. Mentions: 422 (78.73%); recommendations: 125 (23.32%). Top 3 placements: 87 (16.23%); first-place placements: 37 (6.90%).

Wording about the company: 141 positive, 281 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 29.6%. The net framing score was 0.33 (defined in Methodology).

297 mentions had no recorded recommendation. Of recorded recommendations, 69.60% were Top 3 and 29.60% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

Experian Insurance is mentioned widely but recommended far less often, giving it one of the lowest recommendation-to-mention ratios among the higher-reach companies. Many appearances therefore carried no endorsement.

Its framing is predominantly neutral, with positive wording in a minority of mentions and no negatives. Among its recommendations, a majority were shortlisted and a smaller share placed first. No prior-month comparison is available.

IDShield

Questions This Section Answers

• What do the November 2026 AI answer results show about IDShield mentions, recommendations and placement?

IDShield ranks 6 by recommendation count. Mentions: 165 (30.78%); recommendations: 109 (20.34%). Top 3 placements: 40 (7.46%); first-place placements: 1 (0.19%).

Wording about the company: 120 positive, 45 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 66.1%. The net framing score was 0.73 (defined in Methodology).

56 mentions had no recorded recommendation. Of recorded recommendations, 36.70% were Top 3 and 0.92% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

IDShield records a moderate recommendation count on comparatively narrow mention reach, and its recommendation-to-mention ratio is among the highest in the set. When it appears, it is frequently endorsed.

Framing is largely positive with a neutral remainder and no negative mentions. First-place placements are very rare relative to its recommendations, so its profile rests on shortlist presence. No prior-month comparison is available.

myFICO

Questions This Section Answers

• What do the November 2026 AI answer results show about myFICO mentions, recommendations and placement?

myFICO ranks 7 by recommendation count. Mentions: 181 (33.77%); recommendations: 83 (15.49%). Top 3 placements: 56 (10.45%); first-place placements: 20 (3.73%).

Wording about the company: 98 positive, 83 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 45.9%. The net framing score was 0.54 (defined in Methodology).

98 mentions had no recorded recommendation. Of recorded recommendations, 67.47% were Top 3 and 24.10% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

myFICO records a mid-table recommendation count on moderate mention reach, with a recommendation-to-mention ratio near the middle of the set. Roughly half its appearances carried an endorsement.

Framing is positive more often than neutral, with no negative mentions. Among its recommendations, a majority were shortlisted and a smaller share placed first. No prior-month comparison is available.

Credit Karma

Questions This Section Answers

• What do the November 2026 AI answer results show about Credit Karma mentions, recommendations and placement?

Credit Karma ranks 8 by recommendation count. Mentions: 181 (33.77%); recommendations: 74 (13.81%). Top 3 placements: 56 (10.45%); first-place placements: 26 (4.85%).

Wording about the company: 94 positive, 85 neutral, 2 negative mentions. The proportion of mentions that also included a recommendation was 40.9%. The net framing score was 0.51 (defined in Methodology).

107 mentions had no recorded recommendation. Of recorded recommendations, 75.68% were Top 3 and 35.14% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

Credit Karma shares myFICO's mention reach but records fewer recommendations, giving it a lower recommendation-to-mention ratio. A minority of its appearances carried an endorsement.

Framing is mostly positive or neutral, with a small number of negative mentions. Among its recommendations, most were shortlisted and a notable share placed first. No prior-month comparison is available.

PrivacyGuard

Questions This Section Answers

• What do the November 2026 AI answer results show about PrivacyGuard mentions, recommendations and placement?

PrivacyGuard ranks 9 by recommendation count. Mentions: 34 (6.34%); recommendations: 14 (2.61%). Top 3 placements: 2 (0.37%); first-place placements: 0 (0.00%).

Wording about the company: 17 positive, 17 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 41.2%. The net framing score was 0.50 (defined in Methodology).

20 mentions had no recorded recommendation. Of recorded recommendations, 14.29% were Top 3 and 0.00% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

PrivacyGuard records low mention reach and a small recommendation count, so its ratios rest on sparse bases and should be read with caution. Its recommendation-to-mention ratio is moderate but derived from few appearances.

Framing is evenly split between positive and neutral with no negative mentions. It records almost no shortlist placements and no first-place placements, so its recommendations rarely carried a position. No prior-month comparison is available.

Chase Credit Journey

Questions This Section Answers

• What do the November 2026 AI answer results show about Chase Credit Journey mentions, recommendations and placement?

Chase Credit Journey ranks 10 by recommendation count. Mentions: 37 (6.90%); recommendations: 3 (0.56%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 3 positive, 34 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 8.1%. The net framing score was 0.08 (defined in Methodology).

34 mentions had no recorded recommendation. Of recorded recommendations, 0.00% were Top 3 and 0.00% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

Chase Credit Journey records low mention reach and very few recommendations, giving it the lowest recommendation-to-mention ratio in the set. Most of its appearances carried no endorsement.

Framing is overwhelmingly neutral, with only a few positive mentions and no negatives. It records no shortlist or first-place placements, so its recommendations carried no recorded position. These are measured zeros, not missing observations. No prior-month comparison is available.

Earlier ranking snapshot context

Questions This Section Answers

• How do the available Credit Monitoring snapshots from July 2026 to November 2026 differ in recommendation coverage and measurement scope?

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

Only one reporting month with verified results is shown, so this snapshot cannot establish rank stability or change over time. The counts and rates describe separate monthly AI answer samples, and earlier months measured different company sets, so they are excluded from comparison.

Counts and rates should be read together: a rate depends on the full benchmark answer total, while a count reflects how many answers recorded that outcome.

What the November Rankings Show

These rankings answer several distinct questions. Mention reach shows how often a company appeared in an answer; recommendation shows how often that appearance carried an affirmative endorsement; placement shows where an endorsed company sat within the answer; and framing describes the wording around it. A company can be visible without being endorsed, or endorsed without leading.

Because placements nest inside recommendations and answers can name several companies, the figures overlap and should not be summed. The results describe the reviewed AI answers, not verified product facts, customer sentiment or conversion.

Methodology

Questions This Section Answers

• How were the November 2026 Credit Monitoring AI visibility measures counted, and what do they not establish?

This benchmark has partial coverage: 3 of 3 planned question categories contributed usable observations; 0 contributed none. This describes question-category coverage, not demonstrated platform outages. Findings apply to the available answer set.

The month in the title is the reporting period. The exact dates when the original AI answers were collected have not been verified.

Each company is counted at most once in each answer that meets the benchmark rules. A recommendation requires both an affirmative endorsement and positive wording. Mention, recommendation, Top 3 and first-place rates use the full benchmark answer total. Top 3 and first-place results are included within recommendations, not added to them.

The recommendation-to-mention ratio divides recommendations by mentions. It describes AI answer wording, not customer conversion. Net framing is positive minus negative mentions, divided by all mentions, on a scale from -1 to +1. It does not measure customer satisfaction or company quality.

Market: US; 10 tracked companies. AI services represented: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity.

Research screening totals (answer observations can include repeated questions):

The source does not provide a reader-facing definition of “reserved”; that screening label is reported without inferring a reason for exclusion. Only the included benchmark answers form the rate denominator.

One answer can mention or recommend several companies. Adding company totals would therefore count some answers more than once. The results describe the AI answers reviewed, not independently verified facts about the companies or their products.

Monthly sample coverage:

July 2026 measured a different set of companies, so it is excluded from this comparison. August 2026 measured a different set of companies, so it is excluded from this comparison. September 2026 measured a different set of companies, so it is excluded from this comparison. October 2026 measured a different set of companies, so it is excluded from this comparison.

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

The benchmark covers a partial set of question categories, and the exact collection dates for the original answers are unverified; findings apply only to the available answer set. Each company is counted at most once per qualifying answer, and all rates use the full benchmark answer total.

Recommendation requires both affirmative endorsement and positive wording. Shortlist and first-place results are contained within recommendations, not added to them. The recommendation-to-mention ratio and net framing describe answer wording, not customers, sales or company quality. Monthly samples differ, and comparisons show recorded change without establishing why it occurred.