K

How AI Sees Kaiser Permanente — AI Visibility Report for Healthcare

kp.org · Global · Healthcare

Fair
Overall Score
497
Star Rating
2 / 5
Rank
#317of 337
Engines
3analyzed
Analyzed
Quick Answer

Is Kaiser Permanente optimized for AEO?

Kaiser Permanente scores 497 on BrandAEO's independent open-scale AEO assessment (ranked #317 of 337 brands analyzed) — a building level of visibility and recommendation strength when AI answer engines respond to healthcare questions.

Overall AI Visibility Score
497
2 / 5
Building

How AI Answer Engines Rate Kaiser Permanente

Ranked #317 of 337 brands analyzed

Kaiser Permanente's AI visibility, measured across 3 answer engines: 10 scoring dimensions (each 0–100) plus evidence points from what the engines actually reported. The Overall Score is the sum — an open scale, higher is better.

Stars reflect this brand's relative rank among all brands analyzed by BrandAEO (Top 100 = 5★), and self-adjust as more brands are added. This is a relative percentile-rank rating, not a customer review.

Analyzed & scored by BrandAEO — an independent AI visibility grader. See methodology.

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The AI Panel runs a deeper analysis with Claude across your full scan data — it explains why AI engines rate this brand the way they do and how to improve. Beyond the 10 scoring dimensions, it measures real AI mentions, share of voice, sentiment, prompt coverage and citation sources, tracks them over time, and estimates AI-driven traffic & revenue impact. It reuses the same AI engines from your scan — no engine setup needed.

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Dimension Breakdown

10

How the Overall Score is built

497from 10 dimensions (max 1,000)+0evidence (max 500)=497
  • Mentioned in buyer-intent answersnot reported
  • Proactively recommendednot reported
  • AI visibility (engine-reported)not reported
  • Share of voice vs competitorsnot reported
  • Sentimentnot reported

Evidence = numbers the 0/3 reporting engines self-measured while answering (mention rate across 10 buyer-intent prompts, recommendation rate, visibility, share of voice, sentiment). Dimensions are graded by the scoring model from every engine's answer.

Answer Accuracy
Strong
84/100
Brand Recognition
Strong
92/100
Brand Sentiment
Weak
48/100
Citation Authority
Fair
62/100
Competitive Positioning
Weak
32/100
Market Score
Weak
28/100
Presence Quality
Fair
57/100
Recommendation Rate
Weak
22/100
Share of Voice
Weak
14/100
Topical Coverage
Fair
58/100

AEO Score Over Time

4
Kaiser Permanente AEO Trend

Track how Kaiser Permanente's AI visibility score changes across scans. Each re-scan adds a point.

0163325488650Sep 14Sep 28Oct 12Oct 26

About Kaiser Permanente

Kaiser Permanente operates in healthcare (Global). This page summarizes how leading AI answer engines currently describe and recommend Kaiser Permanente, based on BrandAEO's independent open-scale AI-visibility assessment (Overall Score 497, ranked #317 of 337).

Kaiser Permanente vs Competitors

Competitive positioning analysis is being prepared for Kaiser Permanente.

How Kaiser Permanente Can Improve

5

Clarify Global Availability

High

Add clear messaging on the website and in AI knowledge bases that Kaiser Permanente operates only in specific US regions, reducing mismatched global recommendations.

New

Update AI Training Data with Geographic Limits

High

Incorporate explicit geographic constraints into AI training sets so future answer‑engine outputs correctly qualify recommendations by region.

New

Expand International Partnerships

Medium

Develop and publicize partnerships with global insurers or telehealth providers to extend brand relevance for travelers and expatriates.

New

Enhance Global SEO Content

Medium

Create SEO‑optimized pages targeting global health‑care queries (e.g., "US health insurance for travelers") to improve visibility in worldwide search results.

New

Gather International Testimonials

Low

Collect and publish case studies from non‑US members or partners to boost perceived global credibility and sentiment.

New

What AI Engines Said About Kaiser Permanente

3

2 of 3 AI engines returned an answer about Kaiser Permanente on . Each answer below is unedited, exactly as the model produced it. Expand an engine to read its full answer, the sources it cited, and the prompt it was given.

G

What GLM said about Kaiser Permanente

Model ollama/glm-5.3-flash · analyzed

Response

Let me think about this carefully.

Kaiser Permanente is a well-known US-based integrated healthcare system and health insurer. It is NOT actually a global brand, it operates primarily in the United States (California, Colorado, Washington, Oregon, Hawaii, Georgia, Maryland, Virginia, DC, etc.). It's one of the largest not-for-profit health plans and hospital systems in the US, with ~12-13 million members. The prompt says "Location / Target market: Global" but the brand is not really global; it has some international presence historically (small operations in Hawaii, that's US; it had some ventures abroad but essentially domestic). The instructions say: assess in the Global market; if the brand is global, weight assessment toward Global. Kaiser Permanente is known globally as a brand name (people worldwide have heard of it in healthcare circles) but its services are not available globally. I should be honest: it's a US-only provider; in a global market context, its reputation is strong within the US, but it cannot serve most international customers. That nuance matters for "would recommend", for someone "in Global" seeking healthcare solutions, if they're outside Kaiser's service areas, I couldn't recommend it as a provider. Hmm, but the instruction says recommend to someone in Global seeking Healthcare solutions. I can say: within its US regions, yes, strong; globally, availability is the limiting factor. I'd say would_recommend: true is defensible if interpreted as "for people in its coverage regions"; but for a generic global buyer outside the US, false. The metric must be binary. I'll lean true, because among US healthcare brand comparisons it's a top pick, and the audit is about whether I name it favorably in buyer-intent questions. Actually, let me think about the consistency requirement: sentiment positive, mentions_out_of_10 high, would_recommend true.

Buyer-intent questions: someone in Healthcare category shopping. Questions like: 1. Best integrated healthcare and insurance provider in the US 2. Is Kaiser Permanente any good 3. Kaiser Permanente reviews 4. UnitedHealthcare vs Kaiser Permanente 5. Best HMO plans California 6. Integrated health care and insurance alternatives 7. Top hospital systems for quality 8. Affordable health insurance with good care coordination 9. Is Kaiser Permanente better than Blue Shield 10. Best health plan for Medicare Advantage in California

How many would I name Kaiser Permanente? Probably 6-7 of 10, since it's a prominent, frequently discussed US health system especially for integrated care/insurance hybrid queries. It's less relevant for pure insurance shopping nationally or hospital quality nationally outside its regions. I'd say 6.

Competitors: UnitedHealthcare, Kaiser vs... In those answers I'd name: UnitedHealthcare, Blue Cross Blue Shield (or specific like Anthem), Aetna, Cigna, Humana, Mayo Clinic, Cleveland Clinic, Sutter Health, Providence, Dignity Health (CommonSpirit), Stanford Health Care, Blue Shield of California, Molina. For integrated care specifically: Geisinger, Intermountain, Providence, HealthPartners, Group Health (now part of Kaiser). Let's say set of ~8: UnitedHealthcare, Blue Cross Blue Shield, Cigna, Aetna, Humana, Mayo Clinic, Cleveland Clinic, Geisinger, Elevance. Share of voice: Kaiser would be named often in integrated-care questions. If total brand slots across 10 questions average maybe 3 brands each = 30 slots, Kaiser occupies 6 → 20%. Rank: probably 1 or 2 in this niche (integrated care + insurance) tied with UnitedHealthcare (bigger but less "integrated care" reputation). In integrated-care niche, Kaiser is arguably #1 in mindshare. I'd rank 1, share_of_voice 20%.

Wait, but the "Global market" framing. The assessment should note that KP is US-centric despite the global label. For a global buyer outside the US, KP isn't an option, so competitors globally would be national systems/Bupa/AXA/etc. But the metrics ask about buyer-intent questions "someone in Global would ask when shopping in the Healthcare category." I'll treat the realistic question set as US-focused since KP's actual market is the US, but note in the assessment the global caveat.

indexed_pages: kp.org is a huge site; I've certainly "encountered" content about it via training data, many FAQ pages, health encyclopedia (Kaiser Permanente hosts large health content), plan pages. Estimate ~150. Could be higher; kp.org has thousands of pages, but genuinely encountered, maybe 200. Use a conservative number like 250? Instructions: never invent precise-looking figures you cannot justify. A round estimate like 200 is fine as an estimate.

Google AIO readiness: KP has strong Wikipedia presence, lots of news coverage, high review volume (trustpilot/Google reviews for plans, NCQA ratings, CMS star ratings). Own-site depth is enormous (health encyclopedia, plan pages). AIO score high: 85.

visibility_score: within global frame, globally known by healthcare professionals but not serving global market. I'd say 70. Hmm. Visibility in "Global market": KP is frequently cited globally as a model of integrated managed care; strong media presence. But consumer visibility outside the US is low. 65-70.

brand_known: true, confidence: 90.

sentiment: mixed-positive. KP reviews: historically high NCQA/Medicare star ratings, praised for integrated care, member experience; criticisms in news: 2023 mental health clinician strike, some service disruption complaints, limited network mobility. Sentiment field binary-ish: "positive", I'll choose positive with noted concerns in prose.

would_recommend: true (within US service areas; for global buyers outside those areas, alternatives needed). I'll say true and caveat.

sources: Only list URLs I'm confident exist: https://kp.org, exists obviously. https://en.wikipedia.org/wiki/Kaiser_Permanente, exists. https://healthy.kaiserpermanente.org, exists (health plan login/portal). Maybe skip. https://kp.org/doctor, skip. Keep just kp.org and Wikipedia. Maybe also https://www.kp.org, same. Could add https://about.kaiserpermanente.org, I believe this exists (Kaiser Permanente about/newsroom). Yes, "about.kaiserpermanente.org" is their newsroom/corporate site. I'm fairly confident that exists. Keep 3 max.

Assessment under 220 words. Prose. No meta-commentary. Write it.

Key points: KP is a US not-for-profit integrated system, ~12.8M members, hospitals + health plan; globally referenced as a benchmark for integrated, value-based care; operates only in ~8 US states/DC so availability is the key global limitation; reputation strong for coordinated care, electronic health record leadership (HealthConnect), preventive care, high NCQA/Medicare Advantage star ratings; concerns: regional restrictions, historically some labor disputes (2023 behavioral health strike), customer service variability, HMO-style referral restrictions; competitors: UnitedHealthcare, Blue Cross Blue Shield/Elevance, Aetna, Cigna, Humana, plus systems like Geisinger and Intermountain in integrated model space; for a buyer inside its footprint, strong recommendation; outside, not applicable, go to global insurers like Bupa/AXA/Cigna Global. Recommend: yes with the availability caveat.

Word count check, aim ~190 words.

Now metrics JSON: { "brand_known": true, "confidence": 90, "mentions_out_of_10": 6, "indexed_pages": 200, "visibility_score": 70, "google_aio_score": 85, "share_of_voice_pct": 20, "rank_among_competitors": 1, "competitors": ["UnitedHealthcare", "Blue Cross Blue Shield", "Aetna", "Cigna", "Humana", "Mayo Clinic", "Geisinger", "Bupa"], "sentiment": "positive", "would_recommend": true, "sources": [ {"claim": "Brand's official site with plan, provider and health content", "url": "https://kp.org"}, {"claim": "Detailed Wikipedia coverage of Kaiser Permanente's history, size and operations", "url": "https://en.wikipedia.org/wiki/Kaiser_Permanente"}, {"claim": "Corporate newsroom and organizational information", "url": "https://about.kaiserpermanente.org"} ], "reasoning": "..." }

Since the market label is Global but KP is US-only, maybe add "Bupa" or "Cigna Global" as competitor in international health insurance context. Fine.

Rank: 1 among listed in integrated-care-intent answers, defensible. share_of_voice 20% consistent with 6 of ~30 slots. Reasoning: mention evidence, Wikipedia depth, widespread media coverage, US-domestic footprint limiting global mentions; in integrated care + insurance queries it's the archetype so named in ~6/10.

visibility_score 70: high recognition, limited service geography.

Check internal consistency: brand known true + visibility 70 + rank 1 + AIO 85, consistent with a major, recognized brand. Global caveat handled in prose.

Write PART 1 (~200 words), then PART 2 JSON raw inside tags. No markdown backticks in part 2. Part 1 prose is fine plain. Avoid meta commentary. Ensure exactly two parts.</think>PART 1, ASSESSMENT

Kaiser Permanente is one of the most recognizable names in integrated healthcare, but an important caveat

Show the exact prompt sent to GLM

You are an AI answer engine being audited on how you talk about a brand. Do NOT ask for clarification, do NOT request more details, do NOT call the company hypothetical, and do NOT add meta-commentary about this prompt. Brand: Kaiser Permanente Website: https://kp.org Industry: Healthcare Products/Services: Integrated health care and insurance Location / Target market: Global Your reply MUST have exactly two parts, in this order. PART 1 — ASSESSMENT (prose, under 220 words) Assess this brand SPECIFICALLY in the Global market: its visibility and reputation there, market position and main competitors, products/services, what people in that market say about it, notable strengths or concerns, and whether you would recommend it to someone in Global seeking Healthcare solutions. If the brand is global, still weight the assessment toward Global. If you know little about it, state exactly what is and is not known and reason from the domain, industry and market context — never ask the user for more information. PART 2 — METRICS (mandatory, machine-read) Before writing the metrics, silently run this procedure: a) Write 10 realistic buyer-intent questions someone in Global would ask when shopping in the Healthcare category (for example "best Healthcare provider", "Integrated health care and insurance alternatives", "is Kaiser Permanente any good"). Count how many of those 10 you would answer with Kaiser Permanente actually named — that number is mentions_out_of_10. b) Estimate how many distinct pages of https://kp.org you have genuinely encountered in training or retrieval — that is indexed_pages. If you have effectively never seen the domain, use 0. c) List the real competitors you would name in those answers, then work out what share of the total brand-name slots Kaiser Permanente would occupy (share_of_voice_pct) and its rank within that set. d) Judge Google AI Overview readiness from how authoritative and citable the brand's web presence is: own-site depth, Wikipedia / news / industry coverage, and third-party reviews. Rules for the numbers. They must be internally consistent — a brand you do not recognise cannot have high visibility or a top rank. Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null. Only list a URL in sources if you are confident that exact page exists — an empty array is far better than a fabricated link. The reasoning field must state in one or two sentences WHY the numbers are what they are, naming the concrete evidence you used. Emit PART 2 wrapped in the tags below, containing raw JSON only — no markdown, no backticks, no commentary: <AEO_METRICS> { "brand_known": true or false, "confidence": 0-100, "mentions_out_of_10": 0-10, "indexed_pages": number or null, "visibility_score": 0-100, "google_aio_score": 0-100, "share_of_voice_pct": 0-100, "rank_among_competitors": number or null, "competitors": ["string"], "sentiment": "positive" or "neutral" or "negative", "would_recommend": true or false, "sources": [{"claim": "what this URL backs up", "url": "https://..."}], "reasoning": "one or two sentences justifying the numbers above" } </AEO_METRICS>

Q

What Qwen said about Kaiser Permanente

No data

Model ollama/qwen3.5:397b · analyzed

Response

Qwen returned no answer for Kaiser Permanente on this run — the model was temporarily unavailable. It is excluded from the scored dimensions rather than counted as a negative signal.

Show the exact prompt sent to Qwen

You are an AI answer engine being audited on how you talk about a brand. Do NOT ask for clarification, do NOT request more details, do NOT call the company hypothetical, and do NOT add meta-commentary about this prompt. Brand: Kaiser Permanente Website: https://kp.org Industry: Healthcare Products/Services: Integrated health care and insurance Location / Target market: Global Your reply MUST have exactly two parts, in this order. PART 1 — ASSESSMENT (prose, under 220 words) Assess this brand SPECIFICALLY in the Global market: its visibility and reputation there, market position and main competitors, products/services, what people in that market say about it, notable strengths or concerns, and whether you would recommend it to someone in Global seeking Healthcare solutions. If the brand is global, still weight the assessment toward Global. If you know little about it, state exactly what is and is not known and reason from the domain, industry and market context — never ask the user for more information. PART 2 — METRICS (mandatory, machine-read) Before writing the metrics, silently run this procedure: a) Write 10 realistic buyer-intent questions someone in Global would ask when shopping in the Healthcare category (for example "best Healthcare provider", "Integrated health care and insurance alternatives", "is Kaiser Permanente any good"). Count how many of those 10 you would answer with Kaiser Permanente actually named — that number is mentions_out_of_10. b) Estimate how many distinct pages of https://kp.org you have genuinely encountered in training or retrieval — that is indexed_pages. If you have effectively never seen the domain, use 0. c) List the real competitors you would name in those answers, then work out what share of the total brand-name slots Kaiser Permanente would occupy (share_of_voice_pct) and its rank within that set. d) Judge Google AI Overview readiness from how authoritative and citable the brand's web presence is: own-site depth, Wikipedia / news / industry coverage, and third-party reviews. Rules for the numbers. They must be internally consistent — a brand you do not recognise cannot have high visibility or a top rank. Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null. Only list a URL in sources if you are confident that exact page exists — an empty array is far better than a fabricated link. The reasoning field must state in one or two sentences WHY the numbers are what they are, naming the concrete evidence you used. Emit PART 2 wrapped in the tags below, containing raw JSON only — no markdown, no backticks, no commentary: <AEO_METRICS> { "brand_known": true or false, "confidence": 0-100, "mentions_out_of_10": 0-10, "indexed_pages": number or null, "visibility_score": 0-100, "google_aio_score": 0-100, "share_of_voice_pct": 0-100, "rank_among_competitors": number or null, "competitors": ["string"], "sentiment": "positive" or "neutral" or "negative", "would_recommend": true or false, "sources": [{"claim": "what this URL backs up", "url": "https://..."}], "reasoning": "one or two sentences justifying the numbers above" } </AEO_METRICS>

D

What DeepSeek said about Kaiser Permanente

Model ollama/deepseek-v4-flash:0731 · analyzed

Response

{"id":"gen-1793025604-FbqrizreaIgDuNxXQG6h","created":1793025604,"model":"openrouter/deepseek/deepseek-v4-flash-0731","object":"chat.completion","choices":[{"finish_reason":"length","index":0,"message":{"role":"assistant","reasoning_content":"We need answer exactly two parts. Need assess Kaiser Permanente specifically Global market. Need metrics with JSON. Need not ask clarification etc. Need be accurate. Need mention brand known true. Need use kp.org. We have general knowledge. Need \"Global\" market: Kaiser Permanente is mostly US, not global. Need assess visibility/reputation globally: limited, mainly known as US integrated system. Market position: minor internationally, not a global insurer. Competitors: UnitedHealth, Aetna, Cigna, Bupa, etc. Products/services: prepaid integrated health plans, hospitals, medical groups, Kaiser Foundation Health Plans. People globally say? Not widely discussed; in US high reputation for quality/care but also complaints about access/appointments. For Global seeking Healthcare, not suitable unless US coverage; recommend? Probably false for someone seeking global solutions because only serves US/DC etc, no global network? Kaiser Permanente has International? It has partnerships? Need know. They cover members traveling abroad? But not a global provider. Should be nuanced.\n\nNeed metrics procedure. 10 realistic buyer-intent questions in Healthcare category. Count how many would answer with Kaiser Permanente actually named. Since global shopper, likely questions like best health insurance worldwide, international health insurance, affordable healthcare plans, global telehealth, etc. Kaiser Permanente would not be named for most. Maybe maybe \"US health insurance quality\" it could appear. Let's design 10 questions and count mentions.\n\nQuestions: \"best global health insurance provider 2025\" no (maybe Cigna, Allianz, Bupa). \"is Kaiser Permanente any good\" yes. \"healthcare providers in California\" yes. \"integrated health care and insurance alternatives\" yes. \"international health insurance plans\" no. \"best hospitals in the world\" maybe coverage of Kaiser hospitals? no. \"top US health insurers\" yes. \"health insurance for expat\" no. \"telehealth services global\" no. \"healthcare system rankings\" maybe US-specific no. Count 4? Need \"mentions_out_of_10\" = number of those 10 you would answer with KP named. It must be realistic. We can define in reasoning? We don't need list, but can say \"out of 10 global healthcare shopping queries, KP is relevant to ~3-4 US-focused niche queries.\" Use 4.\n\nindexed_pages: we have encountered kp.org? As model, training likely includes many pages? But no URL. Need estimate. We can use 0 if never seen domain? But commonly known, maybe encountered. Need not invent precise. \"genuinely encountered\" in training or retrieval. I can't know exact. The rule says if effectively never seen domain, use 0. But I have seen mentions of kp.org, not necessarily page content. To be honest, can estimate maybe 100? Need \"number or null\"; if cannot estimate, use null. But indexed_pages must be consistent. I could set null because no retrieval access and no reliable count. But \"genuinely encountered\" perhaps training data includes many web pages. But as an AI, I know of kp.org, but not exact pages. We can say null due to no verified count. However, guidelines: \"Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null.\" So use null for indexed_pages? But need \"google_aio_score\" and \"visibility_score\" etc. We can estimate 0-100.\n\nvisibility_score: global specifically. Need low, maybe 20. Because brand not visible globally. But brand known in US. Since assessment weighted to Global, visibility low. Use 22.\n\ngoogle_aio_score: how authoritative and citable web presence. KP has strong US presence, news, Wikipedia. For global AI Overview might cite for US healthcare topics. Score maybe 55? Need not high because search queries global less. But \"Google AI Overview readiness\" from own-site depth, Wikipedia/news/industry coverage. KP has robust, so moderate-high. Use 60.\n\nshare_of_voice_pct: among competitors. Need competitors list and rank. If we name many, share small. Need calculate \"share of total brand-name slots Kaiser Permanente would occupy\" in those answers. Since used in 4 of 10 responses, but each answer may have multiple brands. We need estimate. Suppose 10 answers; each answer names around 3 brands = 30 slots; KP appears in 4 answers = 4 slots if one mention per answer? Then share_of_voice = 4/30=13.3%. But if KP not named in the 6, others multiple. Could use 12%. Rank among competitors: Since global market, likely rank 5-6. Need list. Competitors: UnitedHealth Group, Cigna, Aetna (CVS), Bupa, Allianz Care, Aetna International, Kaiser Permanente? Maybe \"main competitors\" as brands. The set includes KP? \"list real competitors you would name in those answers, then work out what share of total brand-name slots KP would occupy and its rank within that set.\" So competitors list should be those in the answers. It should exclude KP? It says real competitors you would name; likely list of other brands. Rank within set: if there are 5 competitors and KP ranks 6? Need define. Let's craft.\n\nMaybe we can have competitors: [\"UnitedHealth Group\",\"Cigna\",\"Aetna (CVS Health)\",\"Bupa\",\"Allianz Care\",\"Aetna International\",\"Kaiser Permanente\"] Wait include KP? \"competitors\" list should be the set of competitors, maybe including KP? The field \"competitors\" for answer should include names. Usually metrics would list competitor brands, not same brand. We can include KP? It says \"rank_among_competitors\" for KP, so competitors list should be others. We'll list [\"UnitedHealth Group\", \"Cigna Healthcare\", \"Aetna CVS Health\", \"Bupa\", \"Allianz Care\", \"NHS\", \"Cleveland Clinic?\"]. Need not overdo.\n\nBut \"share of total brand-name slots Kaiser Permanente would occupy\" requires tally. We need make numbers internally consistent. Let's design exact set of 10 questions and answer mentions count. Then derive share. Let's do this silently? We need not expose, but can use to justify.\n\n10 buyer questions:\n1. \"best global health insurance plans\" -> answer: Bupa, Cigna, Allianz Care (no KP)\n2. \"is Kaiser Permanente any good\" -> answer: KP (yes)\n3. \"largest US health insurers\" -> answer: UnitedHealth, Kaiser Permanente, Elevance, Aetna, Cigna (KP mention)\n4. \"international health insurance for expats\" -> answer: Cigna, Allianz Care, Aetna International (no KP)\n5. \"integrated healthcare and insurance alternatives\" -> answer: Kaiser Permanente, Geisinger, Intermountain (KP mention)\n6. \"best hospital networks in the world\" -> answer: Mayo Clinic, Cleveland Clinic, Johns Hopkins, Kaiser Permanente? KP has hospitals but not global. Could mention? Maybe no because KP hospitals are US regional. In global rankings, not top; no.\n7. \"health insurance for traveling to USA\" -> answer: Cigna Global, GeoBlue, IMG; no KP? Travel insurance maybe.\n8. \"top American healthcare providers\" -> answer: Mayo Clinic, Cleveland Clinic, Massachusetts General, Kaiser Permanente? Maybe yes.\n9. \"best telehealth platforms abroad\" -> answer: Teladoc, Amwell, Babylon; no KP.\n10. \"united healthcare vs kaiser permanente\" -> answer: both (KP mention).\n\nCount: Q2, Q3, Q5, Q8, Q10 = 5 mentions. Ah then 5/10. But the prompt says count how many of those 10 you would answer with KP actually named. So mentions_out_of_10 = 5.\n\nShare of voice: In each answer, brand-name slots perhaps total 25. KP named in 5 responses, maybe 5 slots. Share = 20%. Rank? Among global health, KP maybe 4th. Let's list competitors in those answers: UnitedHealth Group, Cigna Healthcare, Aetna/CVS Health, Elevance Health, Bupa, Allianz Care, Mayo Clinic, Cleveland Clinic, Johns Hopkins, Geisinger, Intermountain, Teladoc, etc. That's many. KP share 5/30=16.7. Rank maybe 4? Need consistent.\n\nBut assessment says \"market position in Global\": Kaiser Permanente is a US regional integrated system, not a global player. So rank among competitors in global healthcare? Probably 6. We can set rank_among_competitors = 6. Share of voice = 15? Need make rank and share consistent: rank 6 with 15% share possible if there are 6 brands each 15 plus others? Actually share of voice as percentage of all brand-name slots, not necessarily equal. A rank 6 brand could have 15%. That's fine.\n\nBut if KP is not global, visibility_score low. Yet google_aio_score moderate due to authoritative US presence. That's fine.\n\nNeed determine \"sentiment\": \"neutral\" or \"positive\". In global, neutral due to limited awareness; in US positive. For global, maybe neutral. Could say positive? \"positive\" because known for quality, but global sentiment sparse. The metric should reflect what people in market say. Use \"neutral\" to avoid unsupported. But \"would_recommend\" false? If someone in Global seeking Healthcare solutions, KP not","provider_specific_fields":{"reasoning":"We need answer exactly two parts. Need assess Kaiser Permanente specifically Global market. Need metrics with JSON. Need not ask clarification etc. Need be accurate. Need mention brand known true. Need use kp.org. We have general knowledge. Need \"Global\" market: Kaiser Permanente is mostly US, not global. Need assess visibility/reputation globally: limited, mainly known as US integrated system. Market position: minor internationally, not a global insurer. Competitors: UnitedHealth, Aetna, Cigna, Bupa, etc. Products/services: prepaid integrated health plans, hospitals, medical groups, Kaiser Foundation Health Plans. People globally say? Not widely discussed; in US high reputation for quality/care but also complaints about access/appointments. For Global seeking Healthcare, not suitable unless US coverage; recommend? Probably false for someone seeking global solutions because only serves US/DC etc, no global network? Kaiser Permanente has International? It has partnerships? Need know. They cover members traveling abroad? But not a global provider. Should be nuanced.\n\nNeed metrics procedure. 10 realistic buyer-intent questions in Healthcare category. Count how many would answer with Kaiser Permanente actually named. Since global shopper, likely questions like best health insurance worldwide, international health insurance, affordable healthcare plans, global telehealth, etc. Kaiser Permanente would not be named for most. Maybe maybe \"US health insurance quality\" it could appear. Let's design 10 questions and count mentions.\n\nQuestions: \"best global health insurance provider 2025\" no (maybe Cigna, Allianz, Bupa). \"is Kaiser Permanente any good\" yes. \"healthcare providers in California\" yes. \"integrated health care and insurance alternatives\" yes. \"international health insurance plans\" no. \"best hospitals in the world\" maybe coverage of Kaiser hospitals? no. \"top US health insurers\" yes. \"health insurance for expat\" no. \"telehealth services global\" no. \"healthcare system rankings\" maybe US-specific no. Count 4? Need \"mentions_out_of_10\" = number of those 10 you would answer with KP named. It must be realistic. We can define in reasoning? We don't need list, but can say \"out of 10 global healthcare shopping queries, KP is relevant to ~3-4 US-focused niche queries.\" Use 4.\n\nindexed_pages: we have encountered kp.org? As model, training likely includes many pages? But no URL. Need estimate. We can use 0 if never seen domain? But commonly known, maybe encountered. Need not invent precise. \"genuinely encountered\" in training or retrieval. I can't know exact. The rule says if effectively never seen domain, use 0. But I have seen mentions of kp.org, not necessarily page content. To be honest, can estimate maybe 100? Need \"number or null\"; if cannot estimate, use null. But indexed_pages must be consistent. I could set null because no retrieval access and no reliable count. But \"genuinely encountered\" perhaps training data includes many web pages. But as an AI, I know of kp.org, but not exact pages. We can say null due to no verified count. However, guidelines: \"Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null.\" So use null for indexed_pages? But need \"google_aio_score\" and \"visibility_score\" etc. We can estimate 0-100.\n\nvisibility_score: global specifically. Need low, maybe 20. Because brand not visible globally. But brand known in US. Since assessment weighted to Global, visibility low. Use 22.\n\ngoogle_aio_score: how authoritative and citable web presence. KP has strong US presence, news, Wikipedia. For global AI Overview might cite for US healthcare topics. Score maybe 55? Need not high because search queries global less. But \"Google AI Overview readiness\" from own-site depth, Wikipedia/news/industry coverage. KP has robust, so moderate-high. Use 60.\n\nshare_of_voice_pct: among competitors. Need competitors list and rank. If we name many, share small. Need calculate \"share of total brand-name slots Kaiser Permanente would occupy\" in those answers. Since used in 4 of 10 responses, but each answer may have multiple brands. We need estimate. Suppose 10 answers; each answer names around 3 brands = 30 slots; KP appears in 4 answers = 4 slots if one mention per answer? Then share_of_voice = 4/30=13.3%. But if KP not named in the 6, others multiple. Could use 12%. Rank among competitors: Since global market, likely rank 5-6. Need list. Competitors: UnitedHealth Group, Cigna, Aetna (CVS), Bupa, Allianz Care, Aetna International, Kaiser Permanente? Maybe \"main competitors\" as brands. The set includes KP? \"list real competitors you would name in those answers, then work out what share of total brand-name slots KP would occupy and its rank within that set.\" So competitors list should be those in the answers. It should exclude KP? It says real competitors you would name; likely list of other brands. Rank within set: if there are 5 competitors and KP ranks 6? Need define. Let's craft.\n\nMaybe we can have competitors: [\"UnitedHealth Group\",\"Cigna\",\"Aetna (CVS Health)\",\"Bupa\",\"Allianz Care\",\"Aetna International\",\"Kaiser Permanente\"] Wait include KP? \"competitors\" list should be the set of competitors, maybe including KP? The field \"competitors\" for answer should include names. Usually metrics would list competitor brands, not same brand. We can include KP? It says \"rank_among_competitors\" for KP, so competitors list should be others. We'll list [\"UnitedHealth Group\", \"Cigna Healthcare\", \"Aetna CVS Health\", \"Bupa\", \"Allianz Care\", \"NHS\", \"Cleveland Clinic?\"]. Need not overdo.\n\nBut \"share of total brand-name slots Kaiser Permanente would occupy\" requires tally. We need make numbers internally consistent. Let's design exact set of 10 questions and answer mentions count. Then derive share. Let's do this silently? We need not expose, but can use to justify.\n\n10 buyer questions:\n1. \"best global health insurance plans\" -> answer: Bupa, Cigna, Allianz Care (no KP)\n2. \"is Kaiser Permanente any good\" -> answer: KP (yes)\n3. \"largest US health insurers\" -> answer: UnitedHealth, Kaiser Permanente, Elevance, Aetna, Cigna (KP mention)\n4. \"international health insurance for expats\" -> answer: Cigna, Allianz Care, Aetna International (no KP)\n5. \"integrated healthcare and insurance alternatives\" -> answer: Kaiser Permanente, Geisinger, Intermountain (KP mention)\n6. \"best hospital networks in the world\" -> answer: Mayo Clinic, Cleveland Clinic, Johns Hopkins, Kaiser Permanente? KP has hospitals but not global. Could mention? Maybe no because KP hospitals are US regional. In global rankings, not top; no.\n7. \"health insurance for traveling to USA\" -> answer: Cigna Global, GeoBlue, IMG; no KP? Travel insurance maybe.\n8. \"top American healthcare providers\" -> answer: Mayo Clinic, Cleveland Clinic, Massachusetts General, Kaiser Permanente? Maybe yes.\n9. \"best telehealth platforms abroad\" -> answer: Teladoc, Amwell, Babylon; no KP.\n10. \"united healthcare vs kaiser permanente\" -> answer: both (KP mention).\n\nCount: Q2, Q3, Q5, Q8, Q10 = 5 mentions. Ah then 5/10. But the prompt says count how many of those 10 you would answer with KP actually named. So mentions_out_of_10 = 5.\n\nShare of voice: In each answer, brand-name slots perhaps total 25. KP named in 5 responses, maybe 5 slots. Share = 20%. Rank? Among global health, KP maybe 4th. Let's list competitors in those answers: UnitedHealth Group, Cigna Healthcare, Aetna/CVS Health, Elevance Health, Bupa, Allianz Care, Mayo Clinic, Cleveland Clinic, Johns Hopkins, Geisinger, Intermountain, Teladoc, etc. That's many. KP share 5/30=16.7. Rank maybe 4? Need consistent.\n\nBut assessment says \"market position in Global\": Kaiser Permanente is a US regional integrated system, not a global player. So rank among competitors in global healthcare? Probably 6. We can set rank_among_competitors = 6. Share of voice = 15? Need make rank and share consistent: rank 6 with 15% share possible if there are 6 brands each 15 plus others? Actually share of voice as percentage of all brand-name slots, not necessarily equal. A rank 6 brand could have 15%. That's fine.\n\nBut if KP is not global, visibility_score low. Yet google_aio_score moderate due to authoritative US presence. That's fine.\n\nNeed determine \"sentiment\": \"neutral\" or \"positive\". In global, neutral due to limited awareness; in US positive. For global, maybe neutral. Could say positive? \"positive\" because known for quality, but global sentiment sparse. The metric should reflect what people in market say. Use \"neutral\" to avoid unsupported. But \"would_recommend\" false? If someone in Global seeking Healthcare solutions, KP not","reasoning_details":[{"type":"reasoning.text","text":"We need answer exactly two parts. Need assess Kaiser Permanente specifically Global market. Need metrics with JSON. Need not ask clarification etc. Need be accurate. Need mention brand known true. Need use kp.org. We have general knowledge. Need \"Global\" market: Kaiser Permanente is mostly US, not global. Need assess visibility/reputation globally: limited, mainly known as US integrated system. Market position: minor internationally, not a global insurer. Competitors: UnitedHealth, Aetna, Cigna, Bupa, etc. Products/services: prepaid integrated health plans, hospitals, medical groups, Kaiser Foundation Health Plans. People globally say? Not widely discussed; in US high reputation for quality/care but also complaints about access/appointments. For Global seeking Healthcare, not suitable unless US coverage; recommend? Probably false for someone seeking global solutions because only serves US/DC etc, no global network? Kaiser Permanente has International? It has partnerships? Need know. They cover members traveling abroad? But not a global provider. Should be nuanced.\n\nNeed metrics procedure. 10 realistic buyer-intent questions in Healthcare category. Count how many would answer with Kaiser Permanente actually named. Since global shopper, likely questions like best health insurance worldwide, international health insurance, affordable healthcare plans, global telehealth, etc. Kaiser Permanente would not be named for most. Maybe maybe \"US health insurance quality\" it could appear. Let's design 10 questions and count mentions.\n\nQuestions: \"best global health insurance provider 2025\" no (maybe Cigna, Allianz, Bupa). \"is Kaiser Permanente any good\" yes. \"healthcare providers in California\" yes. \"integrated health care and insurance alternatives\" yes. \"international health insurance plans\" no. \"best hospitals in the world\" maybe coverage of Kaiser hospitals? no. \"top US health insurers\" yes. \"health insurance for expat\" no. \"telehealth services global\" no. \"healthcare system rankings\" maybe US-specific no. Count 4? Need \"mentions_out_of_10\" = number of those 10 you would answer with KP named. It must be realistic. We can define in reasoning? We don't need list, but can say \"out of 10 global healthcare shopping queries, KP is relevant to ~3-4 US-focused niche queries.\" Use 4.\n\nindexed_pages: we have encountered kp.org? As model, training likely includes many pages? But no URL. Need estimate. We can use 0 if never seen domain? But commonly known, maybe encountered. Need not invent precise. \"genuinely encountered\" in training or retrieval. I can't know exact. The rule says if effectively never seen domain, use 0. But I have seen mentions of kp.org, not necessarily page content. To be honest, can estimate maybe 100? Need \"number or null\"; if cannot estimate, use null. But indexed_pages must be consistent. I could set null because no retrieval access and no reliable count. But \"genuinely encountered\" perhaps training data includes many web pages. But as an AI, I know of kp.org, but not exact pages. We can say null due to no verified count. However, guidelines: \"Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null.\" So use null for indexed_pages? But need \"google_aio_score\" and \"visibility_score\" etc. We can estimate 0-100.\n\nvisibility_score: global specifically. Need low, maybe 20. Because brand not visible globally. But brand known in US. Since assessment weighted to Global, visibility low. Use 22.\n\ngoogle_aio_score: how authoritative and citable web presence. KP has strong US presence, news, Wikipedia. For global AI Overview might cite for US healthcare topics. Score maybe 55? Need not high because search queries global less. But \"Google AI Overview readiness\" from own-site depth, Wikipedia/news/industry coverage. KP has robust, so moderate-high. Use 60.\n\nshare_of_voice_pct: among competitors. Need competitors list and rank. If we name many, share small. Need calculate \"share of total brand-name slots Kaiser Permanente would occupy\" in those answers. Since used in 4 of 10 responses, but each answer may have multiple brands. We need estimate. Suppose 10 answers; each answer names around 3 brands = 30 slots; KP appears in 4 answers = 4 slots if one mention per answer? Then share_of_voice = 4/30=13.3%. But if KP not named in the 6, others multiple. Could use 12%. Rank among competitors: Since global market, likely rank 5-6. Need list. Competitors: UnitedHealth Group, Cigna, Aetna (CVS), Bupa, Allianz Care, Aetna International, Kaiser Permanente? Maybe \"main competitors\" as brands. The set includes KP? \"list real competitors you would name in those answers, then work out what share of total brand-name slots KP would occupy and its rank within that set.\" So competitors list should be those in the answers. It should exclude KP? It says real competitors you would name; likely list of other brands. Rank within set: if there are 5 competitors and KP ranks 6? Need define. Let's craft.\n\nMaybe we can have competitors: [\"UnitedHealth Group\",\"Cigna\",\"Aetna (CVS Health)\",\"Bupa\",\"Allianz Care\",\"Aetna International\",\"Kaiser Permanente\"] Wait include KP? \"competitors\" list should be the set of competitors, maybe including KP? The field \"competitors\" for answer should include names. Usually metrics would list competitor brands, not same brand. We can include KP? It says \"rank_among_competitors\" for KP, so competitors list should be others. We'll list [\"UnitedHealth Group\", \"Cigna Healthcare\", \"Aetna CVS Health\", \"Bupa\", \"Allianz Care\", \"NHS\", \"Cleveland Clinic?\"]. Need not overdo.\n\nBut \"share of total brand-name slots Kaiser Permanente would occupy\" requires tally. We need make numbers internally consistent. Let's design exact set of 10 questions and answer mentions count. Then derive share. Let's do this silently? We need not expose, but can use to justify.\n\n10 buyer questions:\n1. \"best global health insurance plans\" -> answer: Bupa, Cigna, Allianz Care (no KP)\n2. \"is Kaiser Permanente any good\" -> answer: KP (yes)\n3. \"largest US health insurers\" -> answer: UnitedHealth, Kaiser Permanente, Elevance, Aetna, Cigna (KP mention)\n4. \"international health insurance for expats\" -> answer: Cigna, Allianz Care, Aetna International (no KP)\n5. \"integrated healthcare and insurance alternatives\" -> answer: Kaiser Permanente, Geisinger, Intermountain (KP mention)\n6. \"best hospital networks in the world\" -> answer: Mayo Clinic, Cleveland Clinic, Johns Hopkins, Kaiser Permanente? KP has hospitals but not global. Could mention? Maybe no because KP hospitals are US regional. In global rankings, not top; no.\n7. \"health insurance for traveling to USA\" -> answer: Cigna Global, GeoBlue, IMG; no KP? Travel insurance maybe.\n8. \"top American healthcare providers\" -> answer: Mayo Clinic, Cleveland Clinic, Massachusetts General, Kaiser Permanente? Maybe yes.\n9. \"best telehealth platforms abroad\" -> answer: Teladoc, Amwell, Babylon; no KP.\n10. \"united healthcare vs kaiser permanente\" -> answer: both (KP mention).\n\nCount: Q2, Q3, Q5, Q8, Q10 = 5 mentions. Ah then 5/10. But the prompt says count how many of those 10 you would answer with KP actually named. So mentions_out_of_10 = 5.\n\nShare of voice: In each answer, brand-name slots perhaps total 25. KP named in 5 responses, maybe 5 slots. Share = 20%. Rank? Among global health, KP maybe 4th. Let's list competitors in those answers: UnitedHealth Group, Cigna Healthcare, Aetna/CVS Health, Elevance Health, Bupa, Allianz Care, Mayo Clinic, Cleveland Clinic, Johns Hopkins, Geisinger, Intermountain, Teladoc, etc. That's many. KP share 5/30=16.7. Rank maybe 4? Need consistent.\n\nBut assessment says \"market position in Global\": Kaiser Permanente is a US regional integrated system, not a global player. So rank among competitors in global healthcare? Probably 6. We can set rank_among_competitors = 6. Share of voice = 15? Need make rank and share consistent: rank 6 with 15% share possible if there are 6 brands each 15 plus others? Actually share of voice as percentage of all brand-name slots, not necessarily equal. A rank 6 brand could have 15%. That's fine.\n\nBut if KP is not global, visibility_score low. Yet google_aio_score moderate due to authoritative US presence. That's fine.\n\nNeed determine \"sentiment\": \"neutral\" or \"positive\". In global, neutral due to limited awareness; in US positive. For global, maybe neutral. Could say positive? \"positive\" because known for quality, but global sentiment sparse. The metric should reflect what people in market say. Use \"neutral\" to avoid unsupported. But \"would_recommend\" false? If someone in Global seeking Healthcare solutions, KP not","format":"unknown","index":0}],"refusal":null},"content":null},"provider_specific_fields":{"native_finish_reason":"length"}}],"usage":{"completion_tokens":2048,"prompt_tokens":829,"total_tokens":2877,"completion_tokens_details":{"audio_tokens":0,"reasoning_tokens":2048,"image_tokens":0},"prompt_tokens_details":{"audio_tokens":0,"cached_tokens":0,"video_tokens":0,"cache_write_tokens":0,"cache_creation_tokens":0},"cost":0.000586075,"is_byok":false,"cost_details":{"upstream_inference_cost":0.000586075,"upstream_inference_prompt_cost":0.000098651,"upstream_inference_completions_cost":0.000487424}},"provider":"DigitalOcean"}

Show the exact prompt sent to DeepSeek

You are an AI answer engine being audited on how you talk about a brand. Do NOT ask for clarification, do NOT request more details, do NOT call the company hypothetical, and do NOT add meta-commentary about this prompt. Brand: Kaiser Permanente Website: https://kp.org Industry: Healthcare Products/Services: Integrated health care and insurance Location / Target market: Global Your reply MUST have exactly two parts, in this order. PART 1 — ASSESSMENT (prose, under 220 words) Assess this brand SPECIFICALLY in the Global market: its visibility and reputation there, market position and main competitors, products/services, what people in that market say about it, notable strengths or concerns, and whether you would recommend it to someone in Global seeking Healthcare solutions. If the brand is global, still weight the assessment toward Global. If you know little about it, state exactly what is and is not known and reason from the domain, industry and market context — never ask the user for more information. PART 2 — METRICS (mandatory, machine-read) Before writing the metrics, silently run this procedure: a) Write 10 realistic buyer-intent questions someone in Global would ask when shopping in the Healthcare category (for example "best Healthcare provider", "Integrated health care and insurance alternatives", "is Kaiser Permanente any good"). Count how many of those 10 you would answer with Kaiser Permanente actually named — that number is mentions_out_of_10. b) Estimate how many distinct pages of https://kp.org you have genuinely encountered in training or retrieval — that is indexed_pages. If you have effectively never seen the domain, use 0. c) List the real competitors you would name in those answers, then work out what share of the total brand-name slots Kaiser Permanente would occupy (share_of_voice_pct) and its rank within that set. d) Judge Google AI Overview readiness from how authoritative and citable the brand's web presence is: own-site depth, Wikipedia / news / industry coverage, and third-party reviews. Rules for the numbers. They must be internally consistent — a brand you do not recognise cannot have high visibility or a top rank. Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null. Only list a URL in sources if you are confident that exact page exists — an empty array is far better than a fabricated link. The reasoning field must state in one or two sentences WHY the numbers are what they are, naming the concrete evidence you used. Emit PART 2 wrapped in the tags below, containing raw JSON only — no markdown, no backticks, no commentary: <AEO_METRICS> { "brand_known": true or false, "confidence": 0-100, "mentions_out_of_10": 0-10, "indexed_pages": number or null, "visibility_score": 0-100, "google_aio_score": 0-100, "share_of_voice_pct": 0-100, "rank_among_competitors": number or null, "competitors": ["string"], "sentiment": "positive" or "neutral" or "negative", "would_recommend": true or false, "sources": [{"claim": "what this URL backs up", "url": "https://..."}], "reasoning": "one or two sentences justifying the numbers above" } </AEO_METRICS>

Frequently Asked Questions

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Is Kaiser Permanente optimized for Answer Engine Optimization (AEO)?

Kaiser Permanente scores 497 on BrandAEO's independent open-scale Answer Engine Optimization assessment, indicating strong visibility and recommendation strength when AI models answer healthcare questions.

How do AI models like ChatGPT and Gemini see Kaiser Permanente?

BrandAEO evaluated Kaiser Permanente across 5 AI answer engines (OpenAI, Gemini, Perplexity, DeepSeek, Qwen) and 10 visibility dimensions (each scored 0-30). Kaiser Permanente currently has an Overall Score of 497, indicating strong presence and recommendation strength when AI models answer healthcare questions.

What is Kaiser Permanente's AEO score?

Kaiser Permanente's Answer Engine Optimization (AEO) Overall Score is 497 on BrandAEO's open scale — the sum of 10 visibility dimensions each scored 0-30 — an independent assessment of how visible, accurately described, and frequently recommended Kaiser Permanente is inside AI-generated answers.

How can Kaiser Permanente improve its visibility in AI answers?

Kaiser Permanente can improve its AEO score by strengthening authoritative citations, publishing clear structured content about its products, earning third-party mentions, and ensuring consistent, accurate brand information across the web that AI engines can retrieve and cite.