The 100 Most-Cited Websites in Perplexity for High-Stakes Insurance Consumer Decisions

LLM Authority Index Research | Perplexity | Insurance | July-September 2026

Perplexity uses a distinctly insurance-heavy source ecosystem when consumers ask consequential questions about coverage, pricing, providers, policy types, and product comparisons.

Across 1,422 deduplicated Perplexity responses covering 12 insurance decision verticals, NerdWallet ranked #1, appearing as a cited domain in 14.77% of eligible responses. Forbes ranked #2 at 12.03%, Money.com #3 at 9.42%, Investopedia #4 at 7.24%, and MoneyGeek and ValuePenguin tied at 5.91% response coverage.

The insurance ranking is also much more concentrated than Perplexity's overall High-Stakes Consumer Decisions source market. The Top 10 insurance domains account for 44.8% of domain-response appearances, compared with 35.0% for Perplexity overall. The insurance Top 100 account for 84.0%, compared with 66.9% in the broader Perplexity study.

Only 38 of the insurance Top 100 domains also appear in Perplexity's overall Top 100. That category specialization is especially visible for MoneyGeek, ValuePenguin, Squaremouth, MarketWatch, Insure.com, Insurify, and HealthcareInsider, each of which becomes substantially more prominent when the query population is restricted to insurance decisions.

Perplexity also requires a technical-source audit. In the deduplicated insurance slice, 203 captured citation entries pointed to Perplexity thumbnail infrastructure at d2u1z1lopyfwlx.cloudfront.net. Those entries were excluded from the public publisher ranking.

This is a source-visibility ranking. It is not a trust score, quality grade, recommendation score, or causal ranking. A domain can be frequently cited without causing Perplexity to recommend a particular insurer, carrier, policy, broker, or comparison service.

Answer Capsule

Which websites does Perplexity cite most often when answering high-stakes insurance questions?

NerdWallet leads this measured Perplexity insurance panel with 14.77% response citation coverage, followed by Forbes at 12.03%, Money.com at 9.42%, Investopedia at 7.24%, and MoneyGeek and ValuePenguin at 5.91% each. The analysis covers 1,422 deduplicated Perplexity responses, 2,459 substantive citation events, 333 registrable cited domains, and 2,318 domain-response appearances across 12 insurance verticals.

Key Findings

• NerdWallet ranks #1, cited in 210 of 1,422 eligible Perplexity insurance responses, or 14.77%.
• Forbes ranks #2 at 12.03%, followed by Money.com at 9.42% and Investopedia at 7.24%.
• MoneyGeek and ValuePenguin tie at 5.91% response coverage, with MoneyGeek ranking #5 on citation-event tie-breaking.
• The Perplexity insurance slice contains 2,459 substantive citation events, 333 cited domains, and 2,318 domain-response appearances.
• 203 Perplexity thumbnail-infrastructure citations were excluded from the public ranking, equal to about 7.6% of the 2,662 captured citation entries remaining after exact-repeat handling.
• The Top 10 account for 44.8% of domain-response appearances and 44.4% of substantive citation events.
• The Top 100 account for 84.0% of domain-response appearances and 83.7% of substantive citation events.
• Only 38 of the insurance Top 100 also appear in Perplexity's overall Top 100 across all four high-stakes decision families.
• 42 domains appear in the Perplexity insurance Top 100 in July, August, and September, with a 34.2% median monthly Top 100 Jaccard similarity.
• NerdWallet ranks #1 in July and August, while Forbes ranks #1 in September.
• Reddit moves from #11 in July and #9 in August to #61 in September inside the insurance slice.
• Squaremouth ranks only #7 category-wide but reaches 25.8% response coverage in Travel Insurance, showing how specialist publishers can be strategically important even without broad category breadth.

Questions This Study Answers

• Which websites dominate Perplexity citations for high-stakes Insurance decisions, and how does that source hierarchy change by vertical?
• How persistent is Perplexity's Insurance source market over time, and how portable is that authority to other AI platforms?
• What should insurance publishers, carriers, brokers and CMOs measure before allocating resources to Perplexity-focused content, PR, partnerships or earned media?

Why This Research Belongs in Daily AI Search Marketing Decisions

Article 34 sits at the intersection of two commercially useful views of the same source market:

• the Perplexity platform view, which asks which sources recur across high-stakes consumer decisions on Perplexity; and
• the Insurance decision-family view, which asks which sources recur across six AI platform families for one high-stakes commercial category.

For publishers and insurance specialists, that intersection supports a more precise claim than saying a domain is simply "visible in Perplexity." A source can document whether it is cited specifically for consequential insurance decisions, whether that visibility persists over time, and whether its authority is broad across multiple insurance verticals or concentrated in one specialist decision journey.

For carriers, brokers, comparison sites, CMOs, PR teams and agencies, the operating question is:

Which sources are already present around the exact insurance decisions our customers ask Perplexity to help them make?

Five findings matter for daily planning:

• the Top 100 account for 84.0% of domain-response appearances in this Perplexity insurance slice;
• the Top 10 account for 44.8% of domain-response appearances;
• only 38 domains overlap between this Insurance Top 100 and Perplexity's broader High-Stakes Top 100;
• 42 domains remained in the monthly Insurance Top 100 in July, August and September, and the median of the three monthly Top 100 Jaccard comparisons was 34.2%; and
• the verified final child-study Top 100 lists show Perplexity sharing 59 domains with Google AI Overviews, 59 with Google AI Mode, 43 with ChatGPT, 43 with Gemini and 33 with Microsoft Copilot.

The parent Insurance Citation Authority Study provides the category-level Persistence-Portability Gap interpretation. It reports 80.2% temporal persistence, 29.0% cross-platform portability, and an approximate 51.2 percentage-point Persistence-Portability Gap for Insurance.

Article 34 answers a narrower Perplexity-specific question. Its 34.2% median monthly Top 100 persistence should not be subtracted from one pairwise platform overlap to create a Perplexity-specific gap. The parent PPG uses category-level summary statistics across the broader family.

The concentration result also should not be confused with stability. Perplexity's Insurance source market is highly concentrated, yet the monthly Top 100 rotated substantially. Concentration, persistence and portability are distinct measurements.

This study also excludes 203 Perplexity thumbnail-infrastructure citation entries before building the public publisher leaderboard. Utility infrastructure should not be interpreted as editorial source authority.

Citation visibility should remain separate from brand mentions, recommendation rate, ranking, sentiment, citation-recommendation coupling and downstream outcomes. A source can be frequently cited without causing Perplexity to recommend a particular carrier, policy, broker or comparison service.

Commercial Action Matrix: What Publishers and CMOs Can Do With the Findings

The daily operating model is therefore four-layered:

1. Current Perplexity Insurance core: maintain the sources that matter now, with the collection date attached.
2. Vertical and prompt-cluster layer: identify which sources dominate the exact auto, health, life, travel, pet, renters or other insurance decision.
3. Longitudinal check: monitor whether priority sources persist, decline, rotate or change rank.
4. Cross-platform check: determine whether the same sources also matter in Google AI Overviews, Google AI Mode, ChatGPT, Gemini and Microsoft Copilot.

How This Study Fits the High-Stakes Consumer Decisions Research Corpus

Article 34 is the intersection of two parent studies:

• The Perplexity Platform Study
• The Insurance Citation Authority Study

It should also be read with:

• the 2026 AI Citation Authority Study;
• the Persistence-Portability Gap;
• Do AI Platforms Cite the Same Websites?;
• How Stable Are AI Citations?;
• Reddit's Decline in AI Citations for Insurance Decisions; and
• How Reddit Citations Changed in Perplexity for Insurance Decisions.

Articles 18, 19, 20, 35 and 36 provide verified sibling Insurance cuts for Google AI Overviews, Google AI Mode, ChatGPT, Gemini and Microsoft Copilot.

What We Studied

The study isolates Perplexity responses associated with the Insurance family of the frozen LLM Authority Index High-Stakes Consumer Decisions corpus.

The family contains 12 source labels:

1. Car Insurance
2. Dental Insurance
3. Disability Insurance
4. Health Insurance
5. Life Insurance Companies
6. Long-Term Care Insurance
7. Medicare Supplement Insurance
8. Pet Insurance
9. Renters Insurance
10. Short Term Health Insurance
11. Travel Insurance
12. Vision Insurance

Study size

Responses by month

The primary ranking metric is Response Citation Coverage: the percentage of eligible Perplexity insurance responses that cited a domain at least once. A domain counts at most once per response for the primary metric even when multiple pages from the same site are cited.

The Top 25 Perplexity Insurance Citation Sources

The top of the list mixes broad financial and consumer publishers with insurance specialists. NerdWallet, Forbes, Money.com, and Investopedia lead the broad tier, while MoneyGeek, ValuePenguin, Squaremouth, Insure.com, Insurify, and HealthcareInsider become much more important after the population is narrowed to insurance.

Squaremouth is the clearest specialist example. It ranks #7 category-wide while appearing in only one insurance vertical in this Perplexity slice, because its Travel Insurance coverage is unusually high.

The Full Top 100 Perplexity Insurance Citation Sources

Citation Concentration

Perplexity's insurance citation distribution has a stronger head than Perplexity's overall High-Stakes Consumer Decisions distribution.

The Top 25 capture 62.7% of response-level domain appearances, and the Top 100 capture 84.0%. For insurance brands, that makes category-specific prioritization more manageable than a platform-wide source universe would suggest.

The long tail still matters. There are 333 substantive registrable domains in the measured Perplexity insurance slice, and the leading sources change materially by product category.

This section answers

• Is Perplexity's insurance source market concentrated enough for marketers to prioritize a manageable set of publishers?
• How much of the observed citation market is captured by the Top 10, Top 25, Top 50, and Top 100?
• Does the remaining long tail still matter for specialist insurance products?

Insurance Specialization vs. Perplexity Overall

Only 38 domains in the insurance Top 100 also appear in Perplexity's overall Top 100 across all four high-stakes decision families.

That means a platform-wide Perplexity leaderboard would miss most of the domains that become important when the query set is restricted to insurance decisions.

Several specialist shifts are large:

• MoneyGeek rises from 1.56% Perplexity-wide coverage to 5.91% in insurance, about 3.79x higher.
• ValuePenguin rises from 1.52% to 5.91%, about 3.89x higher.
• Squaremouth rises from 1.33% to 5.27%, about 3.96x higher.
• MarketWatch rises from 1.41% to 4.64%, about 3.29x higher.
• Forbes also gains substantially, rising from 7.28% Perplexity-wide coverage to 12.03% in insurance.

Other broad sources become relatively less prominent after the insurance filter. Business Insider falls from 5.00% overall to 2.88% in insurance, CNBC from 5.94% to 2.88%, and Reddit from 4.46% to 2.53%.

This section answers

• Which sources are disproportionately important for insurance questions?
• Which Perplexity-wide leaders lose relative importance inside insurance?
• How much information is lost if an insurance marketer uses only a generic Perplexity Top 100?

The Most-Cited Sources by Individual Insurance Vertical

The category-wide ranking should not be treated as the answer for every insurance product. The leading sources change sharply by vertical.

Several patterns stand out:

• NerdWallet leads Disability Insurance, Health Insurance, Medicare Supplement Insurance, Pet Insurance, and Renters Insurance in this Perplexity slice.
• Money.com leads Dental Insurance, Long-Term Care Insurance, and Vision Insurance.
• Policygenius leads Life Insurance Companies.
• ValuePenguin leads Short Term Health Insurance.
• Squaremouth leads Travel Insurance at 25.8% response coverage.
• Car Insurance has only 21 eligible Perplexity responses in this slice, so its leaderboard is descriptive rather than a stable population estimate.
• Long-Term Care Insurance and Short Term Health Insurance also have small Perplexity samples and should be interpreted cautiously.

These vertical tables preserve the source memberships in the frozen corpus. Closely related prompt banks can overlap, so the 12 verticals should not be interpreted as statistically independent industries.

This section answers

• Which publishers lead specific insurance product categories in Perplexity?
• Should a life insurer use the same source shortlist as a travel, pet, Medicare supplement, or dental insurer?
• Which verticals have samples too small for strong standalone conclusions?

Breadth vs. Specialization

A category leader can earn its position through breadth, depth, or both.

NerdWallet appears across 10 of 12 insurance verticals and ranks #1 overall. Forbes appears across 11 of 12 and ranks #2. Money.com appears across 9 of 12, as does MoneyGeek. ValuePenguin appears across 8 of 12.

Squaremouth illustrates the opposite model. It appears in only one insurance vertical in this Perplexity slice but ranks #7 overall because it is cited in 25.8% of Travel Insurance responses.

Insure.com and Insurify also show meaningful breadth without reaching the top tier category-wide. That can still matter commercially for multi-product insurers and agencies that need sources spanning several lines of business.

For publishers, the defensible claim is not simply that broad reach is better than specialization. They are different forms of observable citation authority.

Monthly Persistence and Citation Drift

The Perplexity insurance Top 100 changed substantially across the three-month window.

Only 42 domains remained in the insurance Top 100 in all three months. The median of the three monthly Top 100 Jaccard comparisons was 34.2%.

The highest-ranking domains were more stable than the full list. NerdWallet ranked #1 in July and August and #2 in September. Forbes ranked #2 in July and August and moved to #1 in September. Money.com moved from #5 to #4 to #3.

Reddit moved much more sharply, from #11 in July to #9 in August and #61 in September. That pattern is directionally consistent with the separate insurance Reddit decline study, which measures same-prompt losses and gains rather than aggregate rank alone.

Aggregate leaderboard persistence should not be confused with prompt-level persistence. A domain can maintain a strong monthly rank while the exact URLs and prompt-level citation decisions beneath that rank turn over.

This section answers

• Did Perplexity's insurance source market reset each month?
• Which publishers remained near the top throughout the period?
• Can aggregate publisher stability coexist with prompt-level citation drift?

Platform Differences: Perplexity's Insurance Source Market Is Not Interchangeable With Other AI Engines

The final Insurance child-study Top 100 lists show meaningful cross-platform overlap, but no other engine uses the same source portfolio.

Perplexity is closest to the two Google AI search surfaces in this Insurance decision family. Its overlap with ChatGPT and Gemini is lower, and Microsoft Copilot is farther away again.

The ranking order also differs materially. Perplexity begins with NerdWallet, Forbes, Money.com, Investopedia and MoneyGeek. Copilot begins with Forbes, U.S. News, NerdWallet, MoneyGeek and Money.com. Gemini puts Money.com first. ChatGPT gives Forbes much greater coverage. Google's two surfaces elevate U.S. News, NerdWallet and Reddit more strongly.

The operating implication is to maintain three layers: a cross-platform Insurance core, a Perplexity-specific source layer, and a vertical-specific specialist layer.

This section answers

• Do the same publishers lead every AI platform for Insurance decisions?
• Which engines share the most Perplexity Insurance sources?
• Should an insurance brand use one universal outreach list for all AI engines?

Prior Research and Why the Rankings Can Look Different

Ahrefs: broad all-topic U.S. Perplexity queries

Ahrefs' September 2026 Perplexity study analyzes more than 3.1 million U.S. queries spanning all topics. It ranks Reddit first at 21.6% mention share, YouTube second at 20.8%, Wikipedia third at 6.3%, while Forbes ranks #16 and NerdWallet #18. Ahrefs: The 50 Most-Cited Websites in Perplexity

That is very different from Article 34, where NerdWallet, Forbes, Money.com, Investopedia and MoneyGeek lead. The prompt population, category, metric and denominator are different.

Conductor: Perplexity is unusually citation-heavy in Insurance

Conductor's August 2026 Insurance benchmark analyzes more than 3.6 million Insurance brand citations across more than 178,000 prompts from January through May 2026 across seven answer engines. In that corpus, Google AI Mode produced 43.9% of Insurance citations, Perplexity 33.6%, ChatGPT 11.9%, Gemini 6.9%, Copilot 2.1% and Claude 1.6%. Conductor also reports 8.4 citations per Perplexity answer, the highest of the engines it compared. Conductor: 2026 Insurance AI Search Benchmarks

Conductor's denominator is citation volume across a large Insurance brand corpus. Article 34 ranks cited domains by response-level coverage inside a narrower high-stakes decision panel. The studies should not be merged numerically, but both show why Perplexity deserves separate Insurance measurement.

Tinuiti: commercial category and platform behavior differ

Tinuiti's Q3 2026 AI Citation Trends Report tracks six AI platforms across multiple commercial categories and emphasizes substantial platform and category differences in source behavior. Insurance is not one of Tinuiti's tracked categories, so its percentages should not be imported into this Insurance ranking. Tinuiti Q3 2026 AI Citation Trends Report

Machine Relations: concentration depends on the denominator

Machine Relations' September 2026 open-web concentration analysis covers 15,782 observed answer runs and 22,179 cited domains across six engines. Its methods note cautions that concentration measured on domain-run citations is not the same as concentration measured on citation events or response-level domain appearances. Machine Relations: How Concentrated Are AI Citations?

That is directly relevant to Article 34. Perplexity Insurance is highly concentrated under response-level domain appearances, but that percentage should not be merged with a multi-engine domain-run concentration statistic.

Studies can disagree because of:

• query selection
• commercial intent
• geography
• time window
• ranking metric
• citation-event versus response-level counting
• source-type classification
• technical-asset exclusions
• domain normalization
• platform mode and UI behavior

The relevant question is not which ranking is universally correct. It is which ranking matches the decision environment and measurement contract a publisher or brand actually cares about.

Why This Study Is Different

This study is not differentiated merely because it publishes a Perplexity source list. Broad Perplexity leaderboards already exist.

Its narrower contribution is the combination of:

• one specific AI platform;
• one defined high-stakes commercial family;
• 12 insurance product verticals;
• a three-month July-September window;
• response-level citation coverage as the primary ranking metric;
• vertical breadth and specialist depth;
• monthly rank persistence;
• explicit technical-source cleanup; and
• direct comparison with the broader Perplexity and cross-platform LLMAI studies.

That makes the result useful to insurance publishers, CMOs, agencies, communications teams, and revenue leaders who need a source map tied to actual insurance decision prompts rather than a broad web-wide popularity ranking.

Why AI Citation Studies Can Disagree

Two well-executed citation studies can produce different rankings without either being wrong.

Common reasons include:

1. Different query populations. All-topic, informational, commercial, and high-stakes buying prompts surface different sources.
2. Different metrics. Response coverage, raw citation count, mention share, domain-run share, and pages cited answer different questions.
3. Different platform surfaces. Perplexity behavior should not be assumed to match ChatGPT, Gemini, Copilot, or Google AI Search.
4. Different time windows. This study shows substantial September turnover inside the insurance Top 100.
5. Different technical filtering. Thumbnail, image, CDN, map, search, and navigation URLs can distort raw exports if treated as publishers.
6. Different domain normalization. Subdomain consolidation changes rankings for large publishers with multiple site sections.
7. Different deduplication rules. Overlapping exports can inflate samples if exact repeats are not anti-double-counted.
8. Different citation depth. Platforms and extraction pipelines can expose very different numbers of citation links per answer.

The appropriate question is therefore not "Which leaderboard is universally correct?" It is "Which measurement contract best matches the decision we are trying to make?"

What This Means for Insurance Publishers

For publishers, Perplexity citation data can support a commercially useful statement when the scope is preserved.

A defensible formulation is:

Our domain was measurably present among the sources Perplexity cited when answering high-stakes insurance consumer questions in the July-September 2026 LLM Authority Index panel.

A publisher can strengthen that claim by documenting:

• category response coverage;
• breadth across insurance verticals;
• persistence across multiple months;
• strength within a specific insurance product; and
• whether the domain also appears across other AI platforms.

The distinction between broad and specialist authority is commercially important. NerdWallet and Forbes combine high category coverage with broad product reach. Squaremouth has narrower product breadth but exceptional Travel Insurance concentration. MoneyGeek and ValuePenguin become far more prominent after the insurance filter than in the platform-wide Perplexity ranking.

Publishers should not convert those observations into a claim that coverage guarantees a brand recommendation or that paid inclusion will create future AI citations.

What This Means for Brands and CMOs

For insurance brands, the data suggests a two-layer source strategy.

1. Start with durable Perplexity insurance authorities that recur across multiple products and months.
2. Overlay the exact product vertical, where specialist sources can become more important than the category-wide leaders.

A travel insurer, for example, should not use the same publisher priority list as a Medicare supplement, pet insurance, dental insurance, or life insurance company. The Perplexity source ecosystem changes materially across those products.

The data is best used as a research map: identify where Perplexity already sources information, evaluate whether the brand is represented accurately on those surfaces, and track whether the source set changes over time. It should not be used to promise that earning a mention on a cited domain will cause a recommendation.

Methodology

Research source

This study uses the frozen July-September 2026 LLM Authority Index High-Stakes Consumer Decisions archive used by the parent citation-authority study.

Platform filter

Only observations assigned to the Perplexity platform family are included.

Category assignment

Observations are included when their preserved source memberships belong to the Insurance family. The 12 insurance source labels are listed in the What We Studied section.

Exact file deduplication

Byte-identical source files were deduplicated by SHA-256 before observation processing.

Analytical anti-double-counting

Observations were treated as exact repeats when they shared the same:

• report month;
• exact raw platform/source surface;
• normalized prompt text; and
• exact set of original citation URLs.

One analytical record was retained while preserving originating source memberships. This rule prevents exact repeats from inflating the category totals but does not establish that the upstream platform executed a prompt only once.

Prompt normalization

Prompt matching uses Unicode NFKC normalization, case folding, whitespace collapse, and trimming. Prompt wording is otherwise preserved.

Explicit extraction failures

Seven raw Perplexity insurance observations were explicitly marked as extraction failures. Those records are excluded from valid-response analysis rather than counted as ordinary zero-citation answers.

Domain normalization

Citation URLs were parsed to hostnames, normalized to lowercase, stripped of leading www., and consolidated to registrable domains using Public Suffix List logic.

Infrastructure exclusions

The public ranking excludes obvious technical assets rather than treating them as editorial sources. In this insurance slice, 203 citation entries pointed to d2u1z1lopyfwlx.cloudfront.net, a thumbnail-infrastructure host captured alongside substantive Perplexity citations. Those entries were excluded from the public publisher ranking.

Primary metric

Response Citation Coverage = eligible Perplexity insurance responses citing domain d at least once / all eligible Perplexity insurance responses.

The denominator for this article is 1,422 responses. A domain counts at most once per response for this metric.

Secondary metric

Citation events are retained as a secondary measure. One response can contain multiple cited URLs from the same domain even though the domain counts once for response coverage.

Monthly rankings

July, August, and September Top 100 lists are calculated independently from eligible Perplexity insurance responses in each month. Missing source periods are not imputed or treated as zero.

Vertical views

A deduplicated response can retain more than one originating source membership when overlapping exports contain the same exact observation. Vertical tables therefore describe preserved source memberships and are not assumed to be statistically independent.

Top 100 overlap

Jaccard similarity is calculated as:

shared Top 100 domains / unique domains across the two Top 100 lists

No causal interpretation

A visible citation establishes an observed source relationship. It does not prove that the source caused Perplexity to mention, rank, recommend, or convert a consumer for any insurer or insurance product.

Limitations

1. This is a defined high-stakes insurance prompt corpus, not every Perplexity insurance query.
2. The 12 insurance vertical labels are not statistically independent. Some prompt banks overlap or contain adjacent questions.
3. Sample sizes differ materially by vertical. Car Insurance has only 21 eligible Perplexity responses in this slice, while Travel Insurance has 291.
4. Several insurance source labels lack a July file in the wider archive. Missing periods are not converted into zeros.
5. Visible citations are not hidden retrieval or training data. A source can influence an answer without appearing as a visible citation.
6. Citation presence is not recommendation causality. A publisher can be cited without the companies on that page being recommended.
7. Domain-level aggregation hides page-level differences. A single domain can contain multiple sections, authors, and page types serving different intents.
8. The study window covers July through September 2026. Perplexity source behavior can change after the endpoint.
9. Technical-source cleanup is rule-based. The 203 thumbnail records were excluded because they are infrastructure rather than editorial sources, but other edge cases can exist.
10. The captured Perplexity citation arrays are not a universal estimate of Perplexity citation depth. Other collection systems can expose more citations per answer.
11. Source type is not a ranking input. Publishers, carriers, government sites, communities, and comparison services are ranked together by observed citation visibility.
12. Cross-study percentages should not be compared without aligning the denominator and metric. Response coverage is not equivalent to mention share or raw citation share.
13. The study is observational. It measures what was cited, not why Perplexity selected a source.

Commercial Disclosure

LLM Authority Index is part of a business ecosystem that provides AI visibility, research, and marketing services. Affiliated businesses may have current or historical commercial relationships with companies or publishers that appear in the dataset.

Commercial relationships are not inputs to the ranking methodology. Domains are included based on observed citation data. No ranking is an endorsement, and no commercial relationship is presented as the cause of a citation or recommendation outcome.

References

1. LLM Authority Index: The Most-Cited Websites in AI for High-Stakes Insurance Consumer Decisions
2. LLM Authority Index: The 100 Most-Cited Websites in Perplexity for High-Stakes Consumer Decisions
3. LLM Authority Index: The Persistence-Portability Gap
4. LLM Authority Index: Reddit's Decline in AI Citations for High-Stakes Insurance Consumer Decisions
5. Ahrefs: The 50 Most-Cited Websites in Perplexity, September 2026
6. Conductor: 2026 Insurance AI Search & AI Overviews Benchmarks
7. Tinuiti: Q3 2026 AI Citation Trends Report
8. Machine Relations: How Concentrated Are AI Citations?

Related LLM Authority Index Research

Parent studies and measurement framework

• 2026 AI Citation Authority Study
• Insurance Citation Authority Study
• Perplexity Platform Study
• Persistence-Portability Gap
• Do AI Platforms Cite the Same Websites?
• How Stable Are AI Citations?

Verified sibling Insurance platform studies

• Google AI Overviews
• Google AI Mode
• ChatGPT
• Gemini
• Microsoft Copilot

Insurance Reddit trend studies

• Insurance Reddit parent study
• Google AI Overviews Reddit trend
• Google AI Mode Reddit trend
• ChatGPT Reddit trend
• Perplexity Reddit trend
• Gemini Reddit trend
• Microsoft Copilot Reddit trend

Article 34 is the Perplexity x Insurance intersection study. The parent articles explain the broader platform and decision-family markets. The verified sibling platform studies show portability across engines. The Reddit studies provide one longitudinal source example inside the same Insurance decision family.