IDX AI Visibility Market Strategy Report - Identity Theft Protection

Answer Capsule

IDX holds almost no recommendation-stage visibility in the October 2026 Identity Theft Protection benchmark, appearing in just 1.06% of qualified AI responses and earning valid recommendation credit in 0.53% of them. The brand was never placed in a top-three recommendation position and never finished as the single top recommendation in any qualified observation. Its clearest weakness is presence itself: IDX is mentioned in only 4 of 379 qualified observations, and the benchmark records three consecutive monthly declines in valid recommendation coverage. The clearest opportunity is a narrow, evidence-backed path from occasional reference to shortlist eligibility in the category's single measured buyer-intent cluster.

Who This Report Is For

This report is written for IDX marketing, brand, and growth leadership, and for identity theft protection category teams evaluating how AI-generated recommendations shape buyer shortlists.

Report Card

Executive Summary

IDX is visible but under-recommended in the October 2026 Identity Theft Protection benchmark. The brand appeared in 1.06% of qualified AI responses, which translates to 4 mentions out of 379 qualified observations, and it earned valid recommendation credit in 0.53% of them, or 2 observations. That is the lowest valid recommendation coverage of any tracked brand in the category.

The gap between presence and recommendation is not the primary problem here. The primary problem is that presence is close to absent. IDX was mentioned in roughly one out of every ninety-four qualified AI responses, and the benchmark recorded no top-three placements and no rank-one placements in October 2026. When IDX does appear, it appears as context rather than as a recommended option.

The strongest signal in the IDX dataset is sentiment framing. The brand recorded 2 positive mentions, 2 neutral mentions, and 0 negative mentions, producing a net sentiment score of 0.5. That is the lowest net sentiment score among the ten tracked brands, but it reflects a very small sample rather than any negative framing. No AI platform in the benchmark surfaced a negative claim about IDX.

The strongest platform signal is AI Overviews. IDX recorded its only valid recommendation there, with 1 valid recommendation, a 0.94% valid recommendation coverage rate, and an average recommended rank of 5.0. AI Mode produced a single neutral mention with no recommendation credit. Copilot produced 1 valid recommendation in the platform data but no top-three placement. ChatGPT, Gemini, and Perplexity produced no IDX mentions at all in the qualified set.

The clearest gap is structural. All 379 qualified observations in October 2026 fell into the Brand Recommendation cluster, which captures buyers asking AI systems for a recommended identity theft protection provider. IDX is not part of that conversation at meaningful scale. Aura and LifeLock together hold recommendation coverage above 77%, while IDX sits at 0.53%.

The benchmark also flags IDX as a watch item. The brand has now recorded three consecutive monthly declines in valid recommendation coverage, moving from 1.8% in July 2026 to 0.5% in October 2026. The cumulative movement remains within normal month-to-month variation, but the persistence of the decline warrants monitoring.

What IDX Is Winning

Questions This Section Answers

• Which platforms show any recommendation credit for IDX?
• Does IDX receive any negative framing in AI responses?

The evidence-backed wins for IDX in October 2026 are narrow, and the report states them plainly rather than overstating them.

The clearest win is the absence of negative framing. IDX recorded 0 negative mentions across all qualified observations. Every mention the brand received was either positive or neutral. In a category where cautionary or comparison-anchor mentions are common, IDX is not being framed as a risk or a warning.

The second win is a small but real recommendation pocket on AI Overviews. IDX earned 1 valid recommendation on AI Overviews with an average recommended rank of 5.0, and it recorded 2 total mentions on that surface. This is the only platform where IDX converted a mention into recommendation credit in October 2026.

The third win is a measurable, if thin, presence on Copilot. IDX recorded 1 valid recommendation on Copilot with an average recommended rank of 6.0, though it did not reach a top-three position there.

Beyond these three signals, IDX has very few wins in the October 2026 benchmark. The brand is not winning a cluster, not winning a platform, and not winning a prompt type at any meaningful scale.

Where IDX Has the Clearest AI Visibility Gaps

Questions This Section Answers

• How far behind is IDX from Aura and LifeLock at the recommendation stage?
• Which AI platforms show zero IDX mentions?
• Does IDX ever reach top-three or rank-one placement?

The clearest gap is competitor displacement at the recommendation stage. Aura holds 79.42% valid recommendation coverage and LifeLock holds 77.04%, while IDX sits at 0.53%. The two leaders are capturing the recommendation slots that define the category's buyer shortlist, and IDX is not in that conversation.

The second gap is platform absence. IDX recorded zero mentions on ChatGPT, zero mentions on Gemini, and zero mentions on Perplexity in the qualified October 2026 set. Those three surfaces represent a substantial share of the benchmark's qualified observations, and IDX is entirely absent from them. A brand cannot be recommended on a surface where it is never mentioned.

The third gap is placement quality. Even when IDX appears, it does not reach the top three. The brand recorded 0 top-three placements and 0 rank-one placements in October 2026. Its average recommended rank of 5.5 reflects the two rank-eligible recommendations it did receive, both of which landed outside the shortlist positions that drive buyer consideration.

The fourth gap is the multi-month trend. IDX has declined in valid recommendation coverage for three consecutive months, from 1.8% in July 2026 to 0.5% in October 2026. Valid recommendation count fell from 7 in July 2026 to 2 in October 2026. Raw mention presence fell from 2.0% to 1.1%. The direction is consistent even though the magnitude remains within normal variation.

Compared with IdentityIQ, which holds 7.12% valid recommendation coverage on a similar small base, IDX is roughly thirteen times less likely to receive recommendation credit. Compared with PrivacyGuard at 3.96%, IDX is roughly seven times less likely. The gap to the nearest peer is meaningful even at the low end of the category.

Biggest Opportunity

Questions This Section Answers

• Which platform gives IDX its clearest path from mention to shortlist presence?
• Why does the cost of AI absence rise for IDX as more answers take recommendation form?

The single biggest opportunity for IDX is to convert its existing AI Overviews recommendation pocket into a broader shortlist presence across the surfaces where it is currently absent.

AI Overviews is the only platform where IDX earned recommendation credit in October 2026, and it is also the platform with the largest qualified observation base in the benchmark at 106 observations. The brand already has a foothold there. The opportunity is to extend that foothold to ChatGPT, Gemini, and Perplexity, where IDX recorded zero mentions, and to move from occasional mention to top-three placement on the surfaces where it does appear.

This opportunity is specific and evidence-backed. It does not require IDX to overtake Aura or LifeLock. It requires IDX to become a name that AI systems retrieve and consider when buyers ask for a recommended identity theft protection provider. The benchmark shows that the category's recommendation-shaped answer share reached 46.7% in October 2026, up 17.1 points from July 2026. More answers are taking recommendation form, which means the cost of absence is rising.

Competitive Landscape

Questions This Section Answers

• How does IDX's top-three rate and rank-one rate compare with Aura and LifeLock?
• Where does IDX land in the tracked set on average recommended rank and sentiment?

Aura and LifeLock hold recommendation-stage strength in the Identity Theft Protection category, with Aura leading at 79.16% top-three rate and 58.31% rank-one rate. IDX sits at the bottom of the tracked set, with no top-three placements and no rank-one placements in October 2026.

Average recommended rank covers rank-eligible recommendations only.

IDX ranks last in the tracked set on top-three rate and rank-one rate, and it holds the lowest net sentiment score. Its average recommended rank of 5.50 is the weakest in the category, meaning that on the rare occasions IDX does receive rank credit, it lands well outside the shortlist positions that shape buyer choice.

Prompt Evidence

Questions This Section Answers

• Which prompts produced the IDX mentions that appeared in October 2026?
• What does the ChatGPT prompt evidence show about IDX's absence?

AI Overviews / Brand Recommendation Prompt: "What is the very best identity theft protection?" Result: IDX received a valid recommendation at an average rank of 5.0, its only recommendation credit on any surface in October 2026.

AI Mode / Brand Recommendation Prompt: "best identity theft protection" Result: IDX appeared as a neutral mention with no recommendation credit, indicating presence without shortlist conversion.

Copilot / Brand Recommendation Prompt: "identity theft protection services" Result: IDX received a valid recommendation at an average rank of 6.0, outside the top-three positions that drive buyer consideration.

ChatGPT / Brand Recommendation Prompt: "What is the best identity theft insurance?" Result: IDX did not appear in the response. The brand recorded zero mentions on ChatGPT across all qualified October 2026 observations.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every qualified prompt where IDX is absent, and identify which competitors are capturing the recommendation slots IDX would need to reach a buyer shortlist.

Phase 2: Recommendation Readiness Plan Prioritize the surfaces and prompt types where IDX has the clearest path from mention to top-three placement, starting with AI Overviews and Copilot.

Phase 3: Owned Answer Layer Buildout Strengthen the IDX pages that AI systems are most likely to retrieve, with clear, extractable answers to the category's core recommendation questions.

Phase 4: Citation / Authority Layer Development Build the third-party review, comparison, and editorial source footprint that AI systems draw on when forming identity theft protection recommendations.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track IDX presence, valid recommendation coverage, top-three rate, and rank-one rate month over month to confirm whether the brand is moving from reference to recommendation.

Why This Matters

AI presence alone is not enough. IDX is mentioned in a small number of qualified responses, but it is almost never recommended, and it never reaches the top three. In a category where 46.7% of qualified answers now take recommendation form, that gap translates directly into lost shortlist eligibility.

The next move is targeted correction of the prompt, page, and citation layers. IDX does not need to overtake Aura or LifeLock to improve its position. It needs to become a name that AI systems retrieve, consider, and place when buyers ask for a recommended identity theft protection provider. That work starts with the surfaces where IDX is absent and the sources AI systems cite when forming recommendations in this category.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why can a 0.5000 net sentiment score be misleading for IDX on a four-mention sample?
• Why is share of voice a diagnostic metric rather than a business KPI?

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For IDX in October 2026, that is (2 × 1 + 2 × 0 + 0 × -1) / 4, which equals 0.5000.

This matters because unclassified mention counts are misleading. A brand with four mentions could look identical to another brand with four mentions, even if one is being recommended and the other is being listed as context. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal, and counting all mentions as wins is bad measurement.

IDX's 0.5000 net sentiment score reflects a very small sample of four mentions, two positive and two neutral. It should not be read as a strong or weak framing signal on its own. Classified sentiment is required before interpreting AI visibility, and for IDX the more important finding is that the brand received so few mentions that sentiment framing is not yet a meaningful diagnostic.

Sentiment by Platform

Methodology

1. This report is a benchmark-based AI Visibility Company Market Strategy Report for IDX in the Identity Theft Protection vertical, produced from the LLM Authority Index AI Visibility Market Discovery Index and the associated company-level metrics aggregation.
2. The reporting window is October 2026, with baseline comparison to July 2026 and intermediate readings from August 2026 and September 2026.
3. Six AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six produced qualified observations in October 2026.
4. The October 2026 run began with 800 prompt-surface observations across 491 unique questions. All 800 mentioned a tracked brand or competitor, 797 were relevant to the vertical, and 3 were irrelevant.
5. The public metrics used the 379 observations that survived both qualification stages. All brand-level percentages in this report are calculated within that qualified set of 379 observations.
6. Ten companies were tracked: Allstate Identity Protection, Aura, Identity Guard, IdentityForce, IdentityIQ, IDShield, IDX, LifeLock, PrivacyGuard, and Zander Insurance.
7. One buyer-intent cluster produced qualified observations in October 2026: Best Identity Theft Protection Services (C01), which captures consideration-stage prompts. The Identity Theft Protection Comparisons (C02) and Identity Theft Protection Pricing and Plans (C03) clusters recorded no qualified observations.
8. A mention is counted when IDX appears in a qualified AI response at all, regardless of whether the brand is recommended. Raw mention presence rate is the share of qualified observations where IDX appears.
9. A valid recommendation is counted when IDX appears in a clear recommendation context within a qualified response. Valid recommendation coverage is the share of qualified observations where IDX receives that credit.
10. Top-three rate is the share of qualified observations where IDX appears among the top three recommended options. Rank-one rate is the share where IDX is the single top recommendation. Average recommended rank covers rank-eligible recommendations only.
11. Net sentiment score is calculated as (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) divided by total mentions. It measures framing quality, not customer sentiment.
12. Limitations: IDX is measured on a very small number of mentions and valid recommendations, so percentage movements can appear proportionally large while resting on few observations. The benchmark records change rather than explaining why it occurred, and a metric movement alone does not establish causality. The public series does not yet contain qualified observations for pricing or multi-brand comparison questions.

See How AI Is Recommending Your Brand

The public benchmark shows where IDX stands in AI-generated recommendations across the Identity Theft Protection category. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, and evidence sources shaping those answers, and converts the benchmark's directional signal into a prioritized plan for moving IDX from occasional reference to shortlist eligibility.