Ameritas Appears in 20.2% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.
This report supports CiteWorks Studio's examination of how AI search is recommending Disability Insurance. For more detail, you can also read Disability Insurance: AI Visibility Discovery Index.
On this report
Browse sections
- Answer Capsule
- Current AI visibility
- What changed since last month
- Next Step
- Step 1. Measure
- Step 2. Make the website consistent
- Step 3. Align the external narrative
- Step 4. Optimize priority company pages
- Step 5. Publish around buyer questions
- Our 90-day action plan
- Methodology
- Our first three priorities
- Learn More
Key Takeaways
- Ameritas is mentioned in about one in five benchmark AI answers, but it is recommended in fewer than one in ten.
- The main issue is the gap between being present in answers and being the company that gets endorsed.
- November results show a sharp drop in mentions and recommendations, though the monthly samples are not directly comparable.
- The plan focuses on verified page updates, third-party citation review, and content briefs built around buyer questions.
Answer Capsule
In November 2026, Ameritas appeared in 46 of 228 AI answers included in the Disability Insurance benchmark (20.18%). It received 18 recommendations (7.89%), with 8 Top 3 placements and 3 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 Ameritas mentions, recommendations and placements compare with its Disability Insurance peers?
Ameritas recorded 46 mentions (20.18%) and 18 recommendations (7.89%) across 228 answers included in the benchmark. Top 3 placements numbered 8; first-place recommendations numbered 3. Framing among its mentions was 22 positive, 24 neutral and 0 negative.
Rank | Company | Mentions | Mention rate | Recommendations | Recommendation rate | Top 3 | Top 3 rate | #1 | #1 rate |
|---|---|---|---|---|---|---|---|---|---|
1 | Guardian | 210 | 92.11% | 98 | 42.98% | 77 | 33.77% | 34 | 14.91% |
2 | MassMutual | 172 | 75.44% | 93 | 40.79% | 80 | 35.09% | 35 | 15.35% |
3 | Mutual of Omaha | 140 | 61.40% | 73 | 32.02% | 37 | 16.23% | 21 | 9.21% |
4 | Northwestern Mutual | 111 | 48.68% | 50 | 21.93% | 35 | 15.35% | 11 | 4.82% |
5 | Assurity | 62 | 27.19% | 42 | 18.42% | 20 | 8.77% | 8 | 3.51% |
6 | The Standard | 89 | 39.04% | 37 | 16.23% | 15 | 6.58% | 1 | 0.44% |
7 | Breeze | 58 | 25.44% | 31 | 13.60% | 12 | 5.26% | 2 | 0.88% |
8 | Principal | 81 | 35.53% | 22 | 9.65% | 14 | 6.14% | 2 | 0.88% |
9 | Ameritas | 46 | 20.18% | 18 | 7.89% | 8 | 3.51% | 3 | 1.32% |
10 | 57 | 25.00% | 17 | 7.46% | 13 | 5.70% | 4 | 1.75% |
Ameritas appears in roughly one in five benchmark answers and is recommended in fewer than one in ten, placing it ninth among the tracked companies. Its mentions are overwhelmingly neutral or positive, with no negative framing recorded. The gap between being mentioned and being recommended is the central business issue: the brand is present in answers without being the answer.
Placement reinforces this. Ameritas rarely occupies the top of a shortlist, so even answers that include it tend to lead elsewhere. For a disability insurer, that means fewer qualified referrals from buyers who treat AI answers as a starting point. We would build a scorecard that tracks mention, recommendation and placement separately so the client can see which gap to close first.
What changed since last month
Questions This Section Answers
- How did Ameritas counts and coverage differ across the available monthly snapshots?
Metric | Jul 2026 | Aug 2026 | Sep 2026 | Oct 2026 | Nov 2026 |
|---|---|---|---|---|---|
Mentions | 76 / 314 (24.20%) | 80 / 252 (31.75%) | 90 / 222 (40.54%) | 68 / 265 (25.66%) | 46 / 228 (20.18%) |
Recommendations | 61 / 314 (19.43%) | 65 / 252 (25.79%) | 71 / 222 (31.98%) | 51 / 265 (19.25%) | 18 / 228 (7.89%) |
Top 3 recommendations | 18 / 314 (5.73%) | 12 / 252 (4.76%) | 15 / 222 (6.76%) | 11 / 265 (4.15%) | 8 / 228 (3.51%) |
#1 recommendations | 8 / 314 (2.55%) | 2 / 252 (0.79%) | 2 / 222 (0.90%) | 2 / 265 (0.75%) | 3 / 228 (1.32%) |
From October 2026 to November 2026, Ameritas' mention count fell from 68 to 46, while its recommendation count fell from 51 to 18. The recommendation rate was 19.25% and 7.89% respectively.
The November sample shows a sharp drop in both mentions and recommendations compared with October, and the recommendation rate fell by more than half. Top-three and first-place counts also sit below their earlier levels. These are observed movements in separate monthly samples, not a proven trend.
The samples differ between months, so the comparison shows what was recorded rather than why it changed. We would treat November as a signal to investigate, not a verdict, and would review the specific answers behind the drop before drawing conclusions about the brand's standing.
AI recommendation trend
Observed recommendation rate (%), Jul 2026 to Nov 2026
- Ameritas7.89%
Separate selected monthly samples. Missing points are unavailable, not zero. Provider/prompt equivalence is unverified; rate movement does not demonstrate causation.
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Step 1. Measure
Questions This Section Answers
- What should the agency measure and verify first for Ameritas?
AI answers contained 0 conflicting claims about Ameritas: 0 critical, 0 high, 0 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.
No conflicting claims about Ameritas were recorded in the benchmark answers, so there is no immediate fact-check queue. That is a clean starting position, but it also means the visibility gap is unlikely to be a messaging-accuracy problem. The more useful measurement is a structured comparison of how Ameritas is described versus how the leading companies are described in the same answers.
We would build a baseline scorecard that separates reach, recommendation and placement, then pair it with a short list of claims worth verifying against primary sources. This gives the client a defensible starting point before any content or outreach work begins.
Step 2. Make the website consistent
Questions This Section Answers
- Which recorded claim differences about Ameritas should be verified before proposed page edits?
No results are available for this part of the analysis.
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.
This part of the analysis returned no results, so there are no disputed topics to resolve for Ameritas right now. Rather than treat that as a clean bill of health, we would confirm it by checking the company's own pages against the facts the client considers authoritative.
Any page brief would be conditional: drafted only after the entity, date and source behind a claim are confirmed. Where an apparent conflict turns on timing, such as a product change, the brief would note the date rather than assume an error. Ambiguous matches would stay out of the queue.
Step 3. Align the external narrative
Questions This Section Answers
- Which cited third-party pages are relevant to fact review for Ameritas?
Cited page selected for review | Citation appearances in all captured answers | Answers mentioning the company | Conflicting claims linked to this page |
|---|---|---|---|
https://doctordisability.com/insurance/companies/ameritas/ | 1 | 1 | 0 |
https://medmoneyguide.com/guides/ameritas-disability-insurance-review | 1 | 1 | 0 |
https://seeklogo.com/vector-logo/311120/ameritas | 1 | 1 | 0 |
https://cnbc.com/select/best-disability-insurance/ | 75 | 10 | 0 |
https://whitecoatinvestor.com/the-physicians-guide-to-the-best-disability-insurance-companies/ | 40 | 9 | 0 |
https://insurancebusinessmag.com/us/guides/the-10-largest-disability-insurance-companies-in-the-us-543285.aspx | 11 | 5 | 0 |
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 split into two groups. A handful of specialist review and directory pages mention Ameritas once each, while large comparison pages from CNBC and White Coat Investor appear far more often across captured answers. Those high-frequency pages are where the external narrative is most likely shaped, even though a citation alone does not prove influence.
We would review the current contents of the comparison pages first, then the specialist reviews, and prepare evidence-backed requests only where a specific, verifiable inaccuracy is found. Requests would be framed as corrections with sources attached, and no-change decisions would be recorded alongside them.
Step 4. Optimize priority company pages
Questions This Section Answers
- Which observed Ameritas website pages should receive review briefs?
Company website page | Citation appearances in all captured answers | Benchmark answers citing the page | Recommending answers citing the page |
|---|---|---|---|
https://ameritas.com/ | 1 | 1 | 0 |
https://ameritas.com/about/financial-strength/ | 1 | 0 | 0 |
https://ameritas.com/disability-income/ | 1 | 1 | 0 |
https://ameritas.com/insights/disability-income-insurance-for-business-owners/ | 1 | 1 | 0 |
https://ameritas.com/insights/supplemental-disability-insurance-what-is-it-do-you-need-it/ | 1 | 1 | 1 |
The company's website was cited 5 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.
Ameritas's own site was cited across a small set of pages, and only one of them, a supplemental disability article, appeared in an answer that also recommended the company. The rest were cited in answers that mentioned Ameritas without endorsing it. That pattern suggests the owned content is being read but not doing enough to earn a recommendation.
We would prepare page briefs for the listed pages using approved facts and the questions buyers actually ask. Each brief would state the audience, the question the page answers and the evidence behind any claim, so writers work from verified material rather than assumptions about current page contents.
Step 5. Publish around buyer questions
Questions This Section Answers
- Which observed buyer questions support content briefs for Ameritas?
Question observed in the research | Benchmark answers to this question | Company mentions | Company recommendations |
|---|---|---|---|
Which long-term disability insurance is best? | 6 | 4 | 2 |
white coat investor disability insurance | 2 | 2 | 2 |
What are the big 5 disability insurance companies? | 4 | 3 | 1 |
Who has the best disability insurance? | 6 | 2 | 1 |
What dental insurance does not require a waiting period? | 1 | 1 | 1 |
What insurance is best for disability? | 6 | 1 | 1 |
What's the best short-term disability insurance? | 5 | 1 | 1 |
Which dental insurance does not have a waiting period? | 1 | 1 | 1 |
These are recorded answer observations, not search volume, verified demand, or proof of missing website content.
The recorded questions cluster around best-company comparisons and short-term or no-waiting-period coverage. Ameritas is mentioned in several of these answers but recommended in only some, and the dental and short-term questions sit outside its core long-term disability positioning. That mismatch is worth understanding before commissioning content.
We would check existing coverage first, then draft briefs for the questions where Ameritas is mentioned but not recommended. Briefs would focus on buyer questions the company can answer credibly, with approved facts supplied up front and a clear note on which claims still need verification.
Our 90-day action plan
Questions This Section Answers
- How should the agency sequence the proposed Ameritas work and judge completion?
Period | Deliverable | Completion criterion |
|---|---|---|
Days 1–30 | Baseline scorecard, scoped fact-review register and page/source shortlist | Each record has an owner, evidence requirement and review status |
Days 31–60 | Approved page briefs and justified publisher requests | Separate confirmed edits, no-change decisions, requests and responses |
Days 61–90 | Buyer-content briefs and a fresh scorecard | Record work completed separately from measured answer outcomes and comparability limits |
The first month establishes the baseline: a scorecard, a scoped fact-review register and a shortlist of pages and sources, each with an owner and review status. The second month turns confirmed findings into page briefs and justified publisher requests, with confirmed edits, no-change decisions and responses logged separately.
The final month produces buyer-question content briefs and a fresh scorecard. Delivered work is recorded separately from measured answer outcomes, because completing a brief or sending a request does not guarantee a change in visibility. The client should expect a clear record of what was done, not a promise of improved placement.
Methodology
Questions This Section Answers
- How are Ameritas 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 228 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 4983 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:
Reporting month | Answers included | AI services covered | Services |
|---|---|---|---|
Jul 2026 | 314 | 6 | ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity |
Aug 2026 | 252 | 6 | ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity |
Sep 2026 | 222 | 6 | ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity |
Oct 2026 | 265 | 6 | ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity |
Nov 2026 | 228 | 6 | ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity |
The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.
The report covers the November reporting period, and the exact collection dates for the underlying answers are unverified. Rates use the answers that met the benchmark's inclusion rules, and a company counts as recommended only when an answer endorses it with positive wording. Top-three and first-place counts sit inside those recommendations rather than adding to them.
Answers can mention several companies, so company counts cannot be summed into distinct answers. Monthly samples differ, so comparisons describe recorded change rather than its cause. Cited pages and any disputed claims still require independent verification before action.
Our first three priorities
First, investigate the November drop by reviewing the specific answers where Ameritas lost recommendations, treating the monthly samples as separate observations rather than a trend. Second, review the high-frequency comparison pages and the company's own cited pages against primary sources, and prepare conditional briefs only where a verifiable issue is confirmed.
Third, draft buyer-question content for the best-company and short-term coverage questions where Ameritas is mentioned but not recommended, checking existing coverage first. Each priority has a named owner and an evidence requirement, so the client can see what was verified, what was decided and what remains open.
/ Learn More
Understanding AI search visibility.
AI search experiences create answers by pulling information from many places online and summarizing it into a single response.
What Is AI Citation Intelligence?
What Is Citation Architecture?
What Is Generative Engine Optimization?
What Is AI Share of Voice?
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