IDX Appears in 0.5% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Answer Capsule

In November 2026, IDX appeared in 2 of 400 AI answers included in the Identity Theft Protection benchmark (0.50%). It received 2 recommendations (0.50%), with 0 Top 3 placements and 0 first-place recommendations. A mention means the company appeared in an answer; a recommendation means the answer affirmatively endorsed it.

Our plan compares the company with its competitors, checks conflicting AI claims against reliable sources, and identifies website pages, third-party sources and buyer questions to address. The historical results show how the figures changed across available months. Different monthly samples limit those comparisons, and conflicting AI claims require verification before corrections are proposed.

Current AI visibility

Questions This Section Answers

• How do IDX mentions, recommendations and placements compare with its Identity Theft Protection peers?

IDX recorded 2 mentions (0.50%) and 2 recommendations (0.50%) across 400 answers included in the benchmark. Top 3 placements numbered 0; first-place recommendations numbered 0. Framing among its mentions was 2 positive, 0 neutral and 0 negative.

IDX appears in only a small share of the answers measured, yet both of its appearances carry a recommendation. That is a narrow but clean signal: when the company surfaces, the answer endorses it rather than merely naming it. The gap to the leaders is reach, not sentiment.

No first-place or top-three placements were recorded, so the recommendation is real but not positioned at the front of the answer. For the client, the practical question is how to earn more appearances without losing the positive framing already attached to the name.

We would treat reach and position as separate goals. A scorecard tracking mentions, recommendations and placement together would show whether added visibility arrives with endorsement or without it.

What changed since last month

Questions This Section Answers

• How did IDX counts and coverage differ across the available monthly snapshots?

From October 2026 to November 2026, IDX's mention count fell from 4 to 2, while its recommendation count stayed at 2. The recommendation rate was 0.53% and 0.50% respectively. The count was unchanged: the rate difference comes from dividing it by 379 answers in October 2026 and 400 in November.

Across the monthly samples, mentions and recommendations have both drifted downward, and the most recent month shows a flat recommendation count alongside a lower mention count. The rate moved because the answer base differed between the two months, not because the underlying count changed.

These are separate selected samples, so the movement describes what was recorded rather than why it happened. We would not read a cause into it.

What matters for planning is the direction of travel. We would set the next scorecard against this month as the reference point and watch whether recommendations hold while mentions recover.

Step 1. Measure

Questions This Section Answers

• What should the agency measure and verify first for IDX?

AI answers contained 1 conflicting claim about IDX: 0 critical, 0 high, 1 medium, 0 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

A single conflicting claim about IDX was recorded, rated medium priority. That is a manageable starting point: one topic to check rather than a broad cleanup. The rating orders the work; it does not establish that anyone made a mistake.

We would build a short fact-review list around that topic, with an owner and an evidence requirement for each entry. Alongside it, a visibility comparison against the leading brands would show how much of the gap is reach versus positioning.

Together these give the client a clear order of work: verify the claim first, then decide where added visibility is worth pursuing.

Step 2. Make the website consistent

Questions This Section Answers

• Which recorded claim differences about IDX should be verified before proposed page edits?

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

The disputed topic concerns consumer pricing availability, with one recorded answer citing a published monthly figure and another describing plans as quote-based or free through breach settlement. Both are AI statements, not verified company facts.

We would not decide which is correct from the report. The first step is to confirm the entity, the date and the primary source, since answers collected at different times can legitimately differ.

If verification supports one version, we would prepare a conditional page brief for the relevant consumer plans page, using approved facts and plain language. If the conflict reflects timing rather than error, no correction is warranted.

Step 3. Align the external narrative

Questions This Section Answers

• Which cited third-party pages are relevant to fact review for IDX?

These pages were selected because they relate to the company in the captured answers. Their current contents still need checking before any correction request. A page linked to a conflicting claim is not necessarily its cause, and the same answer may contribute to more than one row.

The cited pages selected for review include large review and comparison sites as well as a Norton property and a blog post about whether IDX is worth it. Citation volume is concentrated on a few of these, but a citation does not show that a page shaped the answer.

We would review the most-cited pages first, checking current contents against approved facts before considering any request. Where a genuine gap exists, an evidence-backed request to the publisher is reasonable; where it does not, we record a no-change decision.

Publisher control and willingness vary, so requests are proposals, not assumed outcomes.

Step 4. Optimize priority company pages

Questions This Section Answers

• Which observed IDX website pages should receive review briefs?

The company's website was cited 9 times across 5 distinct page addresses; the table shows 5 pages selected for review. Zeros in the answer columns mean no matching answers were recorded. A cited page is not automatically a page that accompanied a recommendation.

The company site was cited across several distinct pages, with the homepage and the consumer plans page drawing the most appearances. Most of the remaining pages were cited without a matching recommendation, which is a signal to review rather than a verdict on their quality.

We would prepare page briefs for the priority pages, built on approved facts and the questions buyers actually ask. Each brief would state what the page should make clear and which claims need a source.

Existing coverage gets checked before any new page is proposed, so effort goes where a gap is confirmed.

Step 5. Publish around buyer questions

Questions This Section Answers

• Which observed buyer questions support content briefs for IDX?

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

Two buyer questions were observed in the research: identity theft protection for employees, and a top-ten style comparison query. IDX was both mentioned and recommended in each, which suggests the brand can appear when the question fits its offer.

These are recorded answer observations, not search volume or proof of missing content. We would check existing coverage on the site before drafting anything new.

Where a gap is confirmed, we would write buyer-question briefs that answer the question directly and give the reader a reason to consider IDX, using approved facts only.

Our 90-day action plan

Questions This Section Answers

• How should the agency sequence the proposed IDX work and judge completion?

The first month establishes the baseline: a scorecard, a scoped fact-review list and a shortlist of pages and sources, each with an owner and a review status. Nothing is corrected at this stage.

The second month turns verified findings into approved page briefs and justified publisher requests, with confirmed edits, no-change decisions and responses recorded separately.

The third month adds buyer-content briefs and a fresh scorecard. Completed work is reported apart from measured answer outcomes, and the comparability limits of each monthly sample are stated alongside the results.

Methodology

Questions This Section Answers

• How are IDX answer metrics and citation populations defined?

This report covers 2026-11. The exact dates when the original AI answers were collected have not been verified. The visibility rates use 400 answers that met the benchmark's inclusion rules. A company is recommended only when the answer both endorses it and uses positive wording. Top 3 and first-place counts are part of those recommendations, not extra recommendations.

An answer can mention or recommend several companies, so company counts cannot be added to find the number of distinct answers. The net sentiment score is positive minus negative mentions, divided by all company mentions; it describes answer wording, not customer satisfaction.

The wider citation analysis covers 800 captured answers and 5633 appearances of cited URLs. Citation appearances across all captured answers differ from the number of benchmark answers citing a page and the number that also recommend a company. The current contents of cited pages and disputed company claims still need independent verification.

Monthly sample coverage:

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

The report covers one month, and the exact collection dates of the original answers are unverified. Rates rest on answers that met the benchmark's inclusion rules, and a company counts as recommended only when an answer endorses it with positive wording.

Answers can mention several companies, so company counts do not add up to distinct answers. Sentiment describes answer wording, not customer satisfaction.

Monthly samples differ, so comparisons show what changed, not why. Cited pages and disputed claims still need independent verification.

Our first three priorities

First, verify the pricing claim before anything else. Confirm the entity, date and primary source, then decide whether a page brief or a publisher request follows. Until that check is done, no correction should be drafted.

Second, prepare page briefs for the homepage and consumer plans page, since those draw the most citations and carry the clearest opportunity to state approved facts plainly.

Third, build buyer-question content around the employee and comparison questions, after checking existing coverage. A refreshed scorecard should track mentions, recommendations and placement separately, so added reach can be judged on whether endorsement holds.