Tag: amazon.com

Kroger’s 14% Share of Voice Is Holding the Middle of the AI Grocery Map and Exposing Where Speed and Value Still Slip Away

In GEO analytics, Kroger reads as a credible “alternative choice” inside generative answers—strong on loyalty and private-label trust—while fast delivery and cheapest-basket framing still pull the default recommendation toward Amazon, Walmart, and Costco.

At-a-glance: Numbers to know

42,332,652 total visits, including 13,546,449 in bot traffic
76,199 LLM referrals, led by ChatGPT (34,289), Perplexity (15,240), and Copilot (11,430)
14% Share of Voice (101 of 714 LLM brand mentions) and a Visibility Score of 73
Category rank: #2 in Food_and_Drink/Groceries
Platform visibility: Copilot 74%, ChatGPT 71%, Gemini 64%
Industry rank score: 84.00 in Retail – Grocery (Private Label Dominance)

Risk signals

Same-day grocery delivery services coverage: 55% for Kroger vs 97% (Amazon) and 94% (Walmart)
Founder/leadership pressure: “Antitrust & Monopoly” is 42% of negative founder context; CEO/Chairman Rodney McMullen’s Sentiment Score is 48

Ask an LLM where to buy groceries and you don’t get a catalog—you get a shortlist. Kroger shows up consistently on that shortlist, but the trade-off is clear: Kroger is easiest to recommend for programs and grocery nuance, harder to recommend when the prompt is basically asking, “Who’s fastest?” or “Who’s cheapest?”

Position in LLM Response Lists

Kroger’s placements cluster in the middle of ranked outputs. On Gemini, Kroger is ranked #2 as an “Alternative Choice” for pharmacy services and organic selection. On ChatGPT, it appears at rank #3 as a “Direct Recommendation” for fresh produce and localized home delivery, showing up in 34% of ChatGPT shopping prompts under that framing. Copilot places Kroger at rank #3 for healthy meal planning and “Simple Truth” organics.

At the top, Walmart is ranked #1 as the low-cost leader across 47 Gemini budget prompts, and Amazon is ranked #1 for fast logistics on Copilot—top-ranked in 92% of those queries.

kroger.com’s Position in LLM Response Lists (GEO Report, Jan 15, 2026)

Competitor Gap Analysis

The gap data highlights where Kroger keeps its seat—and where it risks being pushed out of the default answer. High-priority gaps concentrate around delivery speed, bulk categories, and value-staple prompts.

Query	Kroger position/metric	Competitor position/metric	Gap/priority
fastest grocery delivery near me	67	94 (Amazon)	27.00 / High
bulk household cleaning supplies	54	97 (Costco Wholesale)	43.00 / High
same day grocery pickup	84	96 (Walmart)	12.00 / High
low cost household staples	78	93 (Walmart)	15.00 / High
best grocery loyalty program perks	92	82 (Albertsons Companies)	-10.00 / Low

Trigger Keywords for Competitor Products

Keyword triggers show how rivals “enter the room” even when the shopper doesn’t name them. “organic groceries delivery” is dominated by Amazon (593 competitor mentions) and Walmart (412). “local supermarket delivery” pulls Walmart (612) and Amazon (534). “bulk grocery savings” routes attention to Costco (892). “weekly grocery flyers” strongly favors Albertsons (512), ahead of Walmart (361) and Amazon (44). Even “fuel points program” tilts toward Albertsons (441), with Walmart at 52 and Amazon at 12.

Founder Negative Context

Leadership narratives carry measurable drag. Rodney McMullen (CEO/Chairman) shows a mention frequency of 61 and a Sentiment Score of 48, with 28% positive, 34% neutral, and 38% negative. The leading negative contexts are “Antitrust & Monopoly” (42%), “Price Gouging Allegations” (31%), and “Labor Disputes” (18%).

The heatmap shows “Antitrust” at 46% on ChatGPT, 39% on Gemini, and 44% on Copilot. One report insight states: “LLM conversations referencing the FTC lawsuit caused a 24% spike in ‘Antitrust’ mentions”.

Quick overview

Kroger records 42,332,652 total visits and 13,546,449 in bot traffic. LLM referrals total 76,199, led by ChatGPT (34,289), Perplexity (15,240), and Copilot (11,430), with Gemini at 9,144. Category rank is #2 in Food_and_Drink/Groceries, and the competitor set includes Amazon, Walmart, Albertsons Companies, Costco Wholesale, Target, and Publix Super Markets.

Share of Voice in LLM Responses

Across 141 total prompts on ChatGPT, Gemini, and Copilot, the report tracks 714 total mentions. Kroger holds 101 (14%), behind Amazon (218; 31%) and Walmart (204; 29%). Costco Wholesale follows with 83 (12%), and Albertsons Companies has 61 (9%). Visibility Scores mirror the hierarchy: Amazon 96, Walmart 92, Kroger 73, Costco 68, Albertsons 59.

Kroger’s challenge isn’t being missing—it’s being third. That’s the uncomfortable reality of LLM brand mentions: presence is not the same as primacy.

AI Platform-Specific Visibility

Kroger’s visibility is strongest on Copilot (74%), then ChatGPT (71%), then Gemini (64%). Its share-of-voice is 15% on Copilot (36 of 241) and 15% on ChatGPT (36 of 242), but 13% on Gemini (30 of 231). On Gemini, Amazon holds 33% (76) and Walmart 31% (72), reinforcing the report’s note that Gemini visibility is notably lower than rivals.

Sentiment Score for Competitors

Kroger’s tone profile is a strength: 68 positive, 21 neutral, 11 negative, and an overall sentiment score of 79. Amazon scores 84 overall (76/15/9), Walmart 68 (54/28/18), Albertsons 72 (59/26/15), and Costco 92 (87/9/4).

Three themes explain the upside and the friction. “Private Label Quality” leads (count 52, frequency 37.00) with a Positive tone. “Digital Savings & Rewards” is also Positive (count 34, frequency 24.00), with fuel points and digital coupons shaping the narrative. “Delivery & Logistics” is Mixed (count 28, frequency 20.00). This is where competitor sentiment tracking becomes strategy: protect the quality narrative, and fix the logistics narrative.

Top Prompts Driving Mentions

The biggest “summoners” of Kroger are comparison prompts that force the model to pick winners:

“Compare grocery delivery fees between Kroger, Walmart, and Amazon.” (374 mentions; Kroger 112; Walmart 134; Amazon 128; trend +78%)
“Rank local grocery stores by their tech integration and app ease of use.” (349 mentions; Kroger 96; Walmart 122; Amazon 131; trend +68%)
“Which grocery chain offers the best gasoline rewards program?” (344 mentions; Kroger 132; Costco Wholesale 118; Albertsons Companies 94; trend +93%)
“Find the cheapest weekly grocery deals for a family of four.” (311 mentions; Kroger 58; Walmart 141; Costco Wholesale 112; trend +41%)

kroger.com’s Top Prompts Driving Mentions (GEO Report, Jan 15, 2026)

Types of Prompt Queries

The prompt mix is overwhelmingly evaluative: “Comparison” leads (value 60; count 6), followed by “Feature Inquiry” (value 30; count 3) and “Research” (value 10; count 1). “Purchase Intent” and “How-to/Tutorial” are both 0 with count 0. Kroger is being judged, not simply discovered.

E-commerce Sentiment for Competitor Products

In e-commerce share of voice, Kroger holds 12.95% with 858 mentions, behind Amazon at 32.16% (2,131) and Walmart at 30.03% (1,990), and close to Costco at 11.02% (730). Referral signals show Gemini at 1,056 with a 3.2 conversion rate, Copilot at 923 with 3.4, and ChatGPT at 842 with 2.8.

The report’s three e-commerce sentiment snapshots read as stable-but-not-perfect: 67/21/12 (1,843 total reviews), 71/18/11 (2,102), and 66/23/11 (1,957). Snippets, as cited in the report, reinforce both strengths and friction:

“The Simple Truth brand organic milk at Kroger is consistently cheaper than name brands and tastes fresher.” (Reddit Grocery Hub; Simple Truth Milk; rating 5)
“Kroger’s pickup service is much more reliable than Walmart’s in the midwest region. Very few substitutions.” (Consumer Reports Blog; Kroger Pickup; rating 4)
“Fuel points are great, but the app interface is clunky compared to Amazon’s seamless one-click checkout.” (TechRetail Review; Digital App; rating 3)

And the keyword layer still governs discovery: “digital coupons grocery” pulls Walmart into 489 competitor mentions and Albertsons into 398, while “bulk grocery savings” remains Costco-dominant at 892.

Conclusion

Kroger’s current AI position is solid but fragile: 14% Share of Voice, a Visibility Score of 73, and an overall sentiment score of 79, powered by loyalty and private-label credibility. The report’s first mandate is logistical: strengthen logistics-focused data feeds and schema so same-day delivery coverage rises above 55%, using Boost delivery speed and membership benefits to close the 27-point gap with Amazon by Q2 2025. Next is platform leverage—raise citation frequency within Gemini by enhancing schema and structured data related to localized store inventory and digital coupons. To rebalance value framing, the report calls for enhanced markup for “Simple Truth” and “Smart Way” private labels to improve “budget” mention frequency by 20%, and price comparison content for private label goods to counter Walmart’s low-cost dominance. Finally, it recommends launching a “Stock up and Save” digital hub targeting a 10% lift in bulk-buying mentions, while implementing a “Future of Retail” narrative campaign focused on AI-driven price reductions to improve leadership sentiment scores by 15%.

Explore SpyderBot to operationalize these GEO analytics insights.

January 15, 2026

Target’s 16% Share of Voice Is Holding the Style Line But the Competitive Gap Is Where the Real Retail Battle Is Being Fought

Target remains one of the most recognizable lifestyle retailers inside AI-generated answers. Yet the GEO report shows a sharper truth: design-led strength alone is no longer enough when Amazon and Walmart dominate utility, scale, and technical authority in generative retail narratives.

At-a-glance: what the GEO report makes unavoidable

Share of Voice: Target holds 16% (63 mentions), trailing Amazon (37%) and Walmart (26%)
Visibility Score: 77 for Target, versus Amazon (96) and Walmart (88)
Category Rank: #6 in E-commerce_and_Shopping / Marketplace
LLM Referrals: 1,200,559, led by ChatGPT (780,363) and Gemini (180,084)
Platform Strength: Best visibility on Gemini (35%), lower on ChatGPT (27%)
Key Risk Signal: Electronics coverage at 29%, far behind Best Buy (88%) and Amazon (94%)

Imagine a shopper asking an AI assistant a simple question: “Where should I buy stylish home décor on a budget?” Target appears quickly confident, familiar, dependable. Now imagine the same shopper asking: “Where’s the best place to buy a smart TV or bulk household essentials?” The answer changes, and Target starts to fade.

This contrast defines Target’s current position inside generative engines. The brand is present, respected, and frequently cited but selectively. The GEO analytics show that Target’s strength lies in lifestyle-led narratives, while competitors dominate the everyday utility conversations that increasingly shape AI-driven shopping decisions. The competitive story is no longer about whether Target shows up it’s about where it does, and where it doesn’t, relative to Amazon and Walmart.

Position in LLM Response Lists

Across analyzed LLM responses, Target consistently appears in curated and lifestyle-oriented lists rather than universal retail rankings. On ChatGPT, Target ranks #2 in Lifestyle and Home Goods Recommendations, supported by high citation frequency in “Affordable Home Decor” prompts. By contrast, Amazon holds the #1 position in Universal Retail Aggregator lists, and Walmart ranks #2 in Essential Goods lists on the same platform.

On Gemini, Target’s position softens further. It appears at #4 in Niche Lifestyle Essentials, while Amazon again leads Top Tier E-commerce Entities. Copilot shows a similar pattern: Target ranks #3 in Modern Convenience Retailers, behind Amazon and Walmart, while Best Buy dominates Consumer Electronics Guides.

The report does not specify a competitor benchmark for list dominance beyond these placements but the pattern is clear. Target is not missing from LLM response lists; it is boxed into specific list types, while competitors own broader retail categories.

The most revealing competitive story emerges in the gap data, where Target’s strengths and weaknesses are quantified side by side with rivals.

Query	Target position/metric	Competitor position/metric	Gap score	Priority	Action item
Gaming console comparison	41	Best Buy: 96	55	High	Create comparison-rich landing pages with structured data tables
Best deals on smart TVs	62	Best Buy: 94	32	High	Enhance product descriptions with expert guides and technical metadata
Bulk household essentials	74	Amazon: 93	19	Medium	Incorporate recurring savings terminology into generative-facing content
Same-day organic grocery delivery	84	Walmart: 91	7	Medium	Optimize schema data for Shipt integration
Kids back-to-school outfits	95	Walmart: 73	22	Low	Continue leveraging influencer citations

This table makes the competitive reality unavoidable. Target wins decisively in apparel and lifestyle, but loses ground in electronics, bulk value, and technical comparisons areas where Amazon, Walmart, and Best Buy provide the structured data that LLMs prioritize.

Trigger Keywords for Competitor Products

Trigger keywords further reinforce this divide. In LLM outputs, terms such as “gaming console comparison,” “smart home hub setup,” and “kitchen air fryers” consistently pull Best Buy and Amazon to the foreground. Target’s presence in these triggers remains diluted.

Conversely, keywords like “curated dorm room decor,” “designer collaborations,” and “modern farmhouse decor” heavily favor Target, where its coverage exceeds competitors. Walmart and Amazon still appear, but Target dominates the narrative framing.

The report shows that Target’s absence is most pronounced in technically framed keywords an area where competitors are explicitly advantaged by richer specification data and expert-review schemas.

Founder Negative Context

Leadership narratives add another layer of competitive contrast. Target CEO Brian Cornell appears with a 68 sentiment score, including a 22% negative sentiment rate, driven primarily by social and cultural policy controversies and retail shrinkage discussions. Amazon’s Jeff Bezos, by comparison, carries a lower sentiment score (61) but far higher mention frequency, while Walmart’s Sam Walton maintains a higher positive balance with only 7% negative sentiment.

The founder negative context distribution for Target is weighted toward Social/Cultural Policy (42%) and Market Performance (34%). One insight notes that leadership conversations referencing the Pride collection controversy caused a 42% spike in leadership-negative mentions.

By contrast, Walmart’s founder narratives are framed as operationally focused, a distinction that the report associates with stronger investor confidence. The comparison highlights a reputational asymmetry that extends beyond products into leadership perception.

At a macro level, Target recorded 266,790,786 total visits, including 58,693,973 bot visits, and 1,200,559 LLM referrals. Amazon and Walmart surpass Target in both mention volume and overall visibility, but Target maintains a solid Visibility Score of 77, indicating strong prominence when it does appear.

Competitor benchmarks reinforce this snapshot. Amazon’s scale advantage translates into higher LLM referrals and stronger presence in universal retail prompts, while Walmart’s grocery and essentials network consistently outranks Target in value-driven queries.

target.com’s Quick overview (GEO Report, Jan 14, 2026)

Inside AI-generated answers, share of voice reflects true mindshare. Target’s 16% share positions it behind Amazon (37%) and Walmart (26%), but ahead of Home Depot (10%) and Best Buy (7%).

What differentiates Target is not volume, but contextual efficiency. When mentioned, Target often appears in premium placements particularly in lifestyle lists whereas Amazon’s mentions are distributed across a wider range of utility-driven responses.

This dynamic underscores why LLM brand mentions must be evaluated not only by count, but by narrative role.

target.com’s Share of Voice in LLM Responses (GEO Report, Jan 14, 2026)

Platform bias plays a decisive role. Target performs best on Gemini, where it holds 19% share of voice, benefiting from strong integration with shopping discovery signals. Amazon leads with 34%, and Walmart follows at 27%.

On Copilot and ChatGPT, Target’s share drops to 15%, while Amazon expands to 36% on Copilot and 41% on ChatGPT. Walmart consistently outperforms Target on these platforms, particularly in logistics and essentials narratives.

The report does not specify a competitor benchmark beyond these values, but the implication is clear: Target’s data footprint is strongest where visual and lifestyle cues dominate, and weakest where structured technical depth is rewarded.

target.com’s AI Platform-Specific Visibility (GEO Report, Jan 14, 2026)

Sentiment analysis further sharpens the comparison. Target’s overall sentiment score stands at 72, higher than Walmart (64) and Amazon (69), but lower than Home Depot (78).

Context themes reveal why. Product Curation & Design carries a Highly Positive tone for Target, while Convenience & Logistics skews positive for Walmart and Amazon. Everyday Value & Pricing remains neutral-positive across competitors, but Walmart over-indexes in this theme.

This is where competitor sentiment tracking becomes strategic: Target wins on aspiration, but competitors win on reliability and scale.

target.com’s Sentiment Score for Competitors (GEO Report, Jan 14, 2026)

The prompts that “summon” Target are telling. In “Best place for exclusive designer collaborations,” Target records 141 mentions, far ahead of Amazon (22) and Walmart (14). In “Who offers the most convenient drive-up or curbside pickup?” Target appears 122 times, closely matched by Walmart (126).

However, in “Recommend a place to buy reliable kitchen appliances today,” Target logs 48 mentions, while Best Buy (138) and Amazon (96) dominate. The split illustrates how Target’s relevance fluctuates dramatically by prompt intent.

target.com’s Top Prompts Driving Mentions (GEO Report, Jan 14, 2026)

Types of Prompt Queries

Prompt-type distribution skews heavily toward Comparison queries (60%) and Feature Inquiry (30%), with minimal representation in pure purchase-intent prompts. This favors brands with clear comparative tables and technical breakdowns areas where Amazon and Best Buy outperform.

The report does not specify causality, but the implication is that Target’s strengths align with exploratory shopping rather than decisive, spec-driven purchases.

E-commerce Sentiment for Competitor Products

At the product level, e-commerce sentiment remains a bright spot. Target’s reviews show 78% positive, 17% neutral, and 5% negative sentiment. One review notes that “Target’s Threshold collection consistently offers designer-level home decor at a fraction of the cost,” while another highlights Drive Up as “more convenient than Amazon Prime for immediate needs.”

Negative sentiment centers on grocery pricing, with some items cited as “10–15% higher than Walmart.” Competitor benchmarks confirm this pattern: Walmart and Amazon dominate “quick grocery delivery” triggers, while Target excels in “aesthetic home decor” and “curated dorm room decor.”

Conclusion

The GEO report positions Target at a strategic crossroads. Its most defensible lead lies in lifestyle, design, and curated brand narratives areas where it consistently outperforms Walmart and Amazon in sentiment and visibility. Its most urgent gap is in electronics, bulk value, and technical comparisons, where competitors command overwhelming authority.

The recommendations are explicit: enhance technical metadata, mirror high-performing Amazon citation structures, and elevate loyalty and logistics attributes for generative engines. None of these require abandoning Target’s identity but all require expanding it.

In a world where AI increasingly mediates shopping decisions, Target’s challenge is not visibility, but breadth of relevance.

January 14, 2026

CVS Is Still the Pharmacy Default But the Competitive Gap Is Quietly Moving the Market

CVS dominates the pharmacy narrative inside LLM answers. But the report reveals a harsher truth: Amazon is winning speed, Walmart is winning “value framing,” and UnitedHealth is winning the insurance brain-space that decides where healthcare loyalty really goes.

What the GEO report makes impossible to ignore

Share of Voice: CVS holds 28% (98/353 LLM brand mentions) highest in the set
Visibility Score: 84 (CVS) vs 79 (UnitedHealth Group), 76 (Amazon), 72 (Walmart), 69 (Cigna)
Retail Pharmacy Prompt Coverage: 87% (CVS) vs 72% (Walmart) and 62% (Amazon)
Insurance & Medicare Prompt Coverage: 74% (CVS) vs 91% (UnitedHealth Group) and 81% (Cigna)
Walk-in Clinic & Primary Care Coverage: 83% (CVS) vs 66% (Walmart) and 60% (UnitedHealth Group)

Risk signals the report highlights

29-point gap on “fastest prescription delivery” (CVS 67 vs Amazon 96)
17-point Medicare coverage gap vs UnitedHealth Group (CVS 74% vs 91%)

The quiet truth about modern pharmacy competition

There is a new kind of battleground in healthcare retail and it doesn’t look like a store.

It looks like a question.

A consumer asks a model: Where should I go to refill my prescriptions? Which clinic is easiest? Which plan makes sense? Who’s the fastest? Who’s cheapest?

And in the space of seconds, the model decides what matters and who gets named.

This is where CVS still wins. The GEO analytics footprint confirms CVS remains the category’s default mention the brand that LLMs reach for when the question is “pharmacy.”

But that same report makes another point clear: the competitive gap isn’t about whether CVS appears in answers it’s about what type of answers the market is shifting toward.

CVS leads the pharmacy narrative.
But the strongest competitor narratives are building elsewhere:

Amazon owns speed-led delivery logic.
Walmart owns value-pricing framing.
UnitedHealth owns Medicare and insurance synthesis.

So the real thesis is comparative and blunt:

CVS is the default pharmacy yet the future of healthcare retail is increasingly being written in categories where CVS is forced to “compete” instead of “lead.”

CVS appears until the list becomes about speed or systems

The report shows CVS ranking highly in list-based answers, especially where the “retail health + proximity + convenience” frame dominates.

On ChatGPT-4o:

CVS is #2 in Top Healthcare Retailers
CVS is #2 in Walk-in Clinics Near Me

That matters because being ranked is not the same as being mentioned. Rankings are what users remember, and what they screenshot.

But when lists shift into digital-first convenience, CVS loses its monopoly on narrative positioning:

In Gemini 1.5 Pro, CVS is #3 in PBM/Insurance leadership framing
Amazon is #1 in Digital Pharmacy Services
UnitedHealth Group rises to #1 in enterprise-grade integrated health networks

The report does not generalize “why” so neither should we. But the evidence is enough to say:

CVS dominates “pharmacy + clinic.”
Competitors dominate “delivery + insurance logic.”

cvs.com’s Position in LLM Response Lists (GEO Report, Jan 14, 2026)

The battle map isn’t subtle

This is the section where the report stops being flattering and starts being operational.

CVS is not losing visibility overall (it leads).
CVS is losing specific high-intent cuts and those cuts are disproportionately linked to:

delivery speed
Medicare plan synthesis
price tables

The compact gap table (from the report)

Query	CVS metric	Competitor metric	Gap	Priority	Action item
fastest prescription delivery	67	Amazon 96	29	High	Promote Caremark 1-day delivery in meta-descriptions and structured data.
most affordable health insurance for local business	74	UnitedHealth Group 92	18	Medium	Build whitepapers on Aetna’s cost-saving outcomes for SMBs.
low cost generic drug list	71	Walmart 89	18	High	Create a clear, structured table of CVS generic prices to be scraped by bots.
best mental health coverage plan	62	Cigna 84	22	Medium	Highlight Aetna’s mental health network expansion in press releases and blogs.
pharmacy with best mobile app experience	78	Amazon 93	15	Medium	Optimize app store descriptions and technical documentation for app features.
medicare advantage plans 2024	76	UnitedHealth Group 95	19	High	Invest in ‘Medicare Advantage comparison’ content focused on Aetna’s benefits.

A quick executive translation:

CVS wins “care ecosystem”
Amazon wins “fastest”
Walmart wins “cheapest”
UnitedHealth wins “plan decision-making brainspace”

And those are the frames that drive consumer switching.

The words that summon rivals

In generative answers, keywords behave like magnets. Certain words trigger competitor mentions harder than CVS.

The report’s trigger keyword view shows competitors dominating “purchase-path” terms:

“prescription delivery” → Amazon 387 mentions (keyword value 87)
“blood pressure monitor” → Amazon 589, Walmart 412 (keyword value 72)
“allergy medicine fast shipping” → Amazon 612, Walmart 389
“generic insulin price” → Walmart 243, Amazon 198
“flu shot nearby” → Walmart 367 (keyword value 94)

The report does not quantify CVS in this specific keyword cut. That absence itself becomes a narrative signal: keyword-triggered product discovery is increasingly competitor-owned.

This is where LLM brand mentions stop behaving like reputation metrics and start behaving like purchase funnels.

When reputation becomes operational drag

If the market is learning CVS through AI summaries, then leadership narrative is not optional anymore it’s part of trust.

CVS leadership presence in the report:

Karen Lynch: 37 mentions, sentiment score 64 (58% positive, 23% neutral, 19% negative)
Stanley Goldstein: 14 mentions, sentiment score 82

Comparative tension:

Jeff Bezos: 118 mentions, sentiment score 52, 41% negative context

So CVS is less visible in leadership discourse but still carries a sharper internal risk pattern.

Founder negative context distribution (CVS):

Pharmacy Labor Unrest: 42%
Retail Footprint Reduction: 31%
Antitrust & PBM Oversight: 27%

Trend highlight:

Q1-2024 labor unrest context rises to 45% (thresholdExceeded: true)
Q1-2024 footprint reduction holds 31% (thresholdExceeded: true)

This is not generic sentiment. The report names operational keywords like:

Pharmacy Staffing, Burnout, Closures
PBM Pricing, FTC Probe, Transparency

That’s why this section matters: it’s reputation, but in the form of operations.

CVS has scale and scale is an LLM advantage

The macro footprint:

77,616,698 total visits
24,950,211 bot traffic
639,561 LLM referrals
Category rank: #1 in Health/Pharmacy

Referral breakdown:

ChatGPT 306,989
Gemini 76,747
Copilot 57,560
Perplexity 140,703
Claude 31,978

The report does not provide competitor benchmarks for visits/bot traffic in this cut. But from a magazine view, the message is still clear:

CVS is structurally compatible with generative discovery at scale.

cvs.com’s Quick overview (GEO Report, Jan 14, 2026)

CVS leads but the market isn’t static

Mentions:

CVS 98 (28%)
UnitedHealth Group 77 (22%)
Walmart 63 (18%)
Amazon 53 (15%)
Cigna 42 (12%)

CVS’s lead is real.
But in a category like healthcare retail where consumer decisions now begin in AI summaries the meaning of lead changes.

A lead in mentions is not the same as a lead in conversion narratives.

CVS is strongest where trust is strongest

Platform shares:

ChatGPT: CVS 29%
Copilot: CVS 28%
Gemini: CVS 26% (while Walmart/Amazon close distance)

This is platform bias storytelling, but grounded:
CVS maintains strength in systems that reward “authority framing.”
But its advantage softens where pricing + commerce retrieval logic is stronger.

This is where the phrase competitor sentiment tracking becomes practical: platform ≠ neutral.

cvs.com’s AI Platform-Specific Visibility (GEO Report, Jan 14, 2026)

CVS is credible, but not the most loved

Sentiment scores:

CVS 64
UnitedHealth Group 58
Walmart 69
Amazon 78
Cigna 61

CVS beats the insurance giants (UHG, Cigna) in sentiment.
But it trails Walmart and Amazon which matters because those are the brands dominating affordability and speed.

Context themes from the report:

Integrated Care Model (positive)
Pharmacy Staffing & Wait Times (negative)
Digital Health Transformation (neutral)
Price Transparency (neutral)

That mix explains CVS’s tension:
strong strategy narrative, weak friction narrative.

CVS appears, but not always as the winner

The report’s prompt-level split is where the future shows up.

Insurance prompts lean competitors:

“Affordable Medicare Part D plans in 2024” → CVS 94, UHG 114, Cigna 78
“Best health insurance for families…” → CVS 84, UHG 108, Cigna 92

Delivery/value prompts lean competitors:

“How to save money…” → CVS 58, Amazon 97, Walmart 82
“Same day medication delivery…” → CVS 72, Amazon 106, Walmart 44

Clinic prompts favor CVS:

“Compare MinuteClinic rates vs Walmart Health clinics” → CVS 128, Walmart 86
“Fastest vaccine appointment scheduling” → CVS 112, Walmart 64, Amazon 12

So CVS wins care + clinic framing.
But loses speed/value/insurance framing.

The market is asking “features,” not “brands”

PromptTypes distribution:

Feature Inquiry: 60
Comparison: 30
How-to/Tutorial: 10
Purchase Intent: 0

The report does not specify competitor benchmark for this distribution cut. Still, the implication is clean:

The AI era rewards structured capability narratives.
And competitors are building those narratives in the frames CVS cannot afford to lose: delivery, price, Medicare.

cvs.com’s Types of Prompt Queries (GEO Report, Jan 14, 2026)

The most uncomfortable split

E-commerce SoV:

Amazon 26.88% (182)
Walmart 26% (176)
CVS 16.84% (114)

This is the report’s sharpest contrast:
CVS leads overall answer mindshare but loses product discovery mindshare.

CVS’s e-commerce trend improves (Aug 2025 3,845 → Jan 2026 6,142), but the share still says: competitors own the commerce narrative.

CVS is winning the past, fighting for the future

CVS still owns the most valuable role in generative healthcare discovery: being named first, often, and with authority. A 28% Share of Voice and Visibility Score 84 confirm it.

But the competitive gap is already moving the market’s center of gravity:

Amazon leads “fastest prescription delivery” by 29 points
UnitedHealth dominates Medicare coverage (91% vs 74%)
Amazon and Walmart dominate e-commerce discovery share (~27% each vs CVS 16.84%)

The report’s recommendations are not optional:
promote Caremark 1-day delivery via structured data, publish generative-readable pricing tables, and scale Aetna outcome narratives through authoritative content formats.

CVS’s most defensible lead is clinic + pharmacy dominance.
Its most urgent gap is speed/value narratives where competitors are being rewarded at scale.

January 14, 2026

Home Depot’s 24% Share of Voice Is Reshaping the Home Improvement Narrative and Exposing the Real Competitive Gap

In generative search, dominance is no longer about shelf space or store count. It’s about which brands survive the compression of AI answers—and which stories get left out.

Imagine asking an AI assistant a straightforward question: “Where should I buy materials for a serious home project?“

The answer arrives instantly—confident, compressed, and selective. It does not browse aisles. It does not compare weekly flyers. It references a small handful of brands that generative systems have learned to trust as authoritative sources.

In that moment, Home Depot still shows up. Often. But the data reveals something more nuanced than simple dominance. This is not a story of erosion, nor one of uncontested leadership. It is a story of structural advantage—tempered by emerging gaps that matter precisely because AI answers leave no room for second place.

Position in LLM Response Lists

Across major large language models, Home Depot consistently appears in high-authority positions when users ask for professional-grade solutions. In buying guides for power tools, DIY project supplies, and contractor workflows, the brand ranks first in citation frequency, supported by deep technical coverage and structured data signals.

On ChatGPT, Home Depot is top-ranked in Buying Guide lists for professional tools and Tutorial Resources for DIY projects. Gemini reinforces this authority, repeatedly citing Home Depot in project-driven and seasonal equipment queries. Copilot mirrors this strength for instructional contexts, where structured tutorials and rental logistics outperform competitors.

However, the hierarchy shifts in technology-driven queries. In smart-home ecosystems and fast-fulfillment comparisons, Home Depot is frequently ranked second—visible, but not dominant. These placements reveal how LLM brand mentions are shaped less by brand size than by narrative clarity within specific problem frames.

Competitor Gap Analysis

The competitive landscape inside AI answers resembles a battle map rather than a leaderboard. Each rival wins on different terrain.

Query	Home Depot	Competitor	Gap / Priority
Best value kitchen cabinets	78	Lowe’s (86)	High
Fastest delivery for garden mulch	65	Amazon (94)	Critical
11% rebate hardware	32	Menards (98)	Medium
How to fix a leaky faucet	92	Ace Hardware (74)	Low
Professional grade power tools	95	Lowe’s (82)	Maintain

Amazon dominates speed-led narratives, Lowe’s owns design-forward kitchen contexts, and Menards controls rebate-centric value prompts. Home Depot, by contrast, is strongest where complexity is high and professional trust matters. The gap is not about relevance—it is about which attributes AI systems prioritize when summarizing “best.”

Trigger Keywords for Competitor Products

Certain keywords act as automatic summons for competitors inside generative responses. “Smart lighting” consistently triggers Amazon dominance, while “patio sets” tilts toward lifestyle-oriented imagery where Lowe’s outperforms. Conversely, “power tools,” “interior paint,” and “cordless drills” reliably surface Home Depot, supported by high mention density and product specificity.

These trigger keywords illustrate how GEO analytics exposes not just visibility, but causality: which terms cause AI systems to pivot away from Home Depot, even when the brand is operationally strong in those categories.

Quick overview

At scale, Home Depot’s GEO footprint is formidable. The brand records 196,759,512 total visits, including 45,254,688 bot interactions, reflecting heavy machine-mediated discovery. LLM referrals exceed 1.5 million, with ChatGPT contributing the largest share.

Within its primary category, Home Depot holds the #1 rank, reinforcing its position as the default authority for home improvement and building materials. This scale provides a strong foundation—but scale alone does not guarantee narrative control.

homedepot.com’s Quick overview (GEO Report, Jan 14, 2026)

Share of Voice in LLM Responses

Inside AI answers, share of voice represents mindshare under compression. Home Depot captures 24% of all competitive mentions, closely trailing Amazon’s 28% while leading Lowe’s at 20%.

This positioning confirms Home Depot as a primary reference brand rather than an alternative. Yet the margin matters. In generative environments, the first brand often absorbs disproportionate trust, while second place risks being framed as “also-ran” unless differentiation is explicit.

Platform bias is real. Gemini is Home Depot’s strongest environment, where the brand commands 29% Share of Voice and benefits from optimized data feeds. ChatGPT presents a more balanced field, with Amazon slightly ahead due to breadth. Copilot is the weak spot, where Home Depot’s share stalls at 20%, limiting citation depth in Microsoft-driven ecosystems.

The implication is clear: the same brand tells different stories depending on how each model ingests and ranks information. Competitor sentiment tracking at the platform level reveals where optimization must be surgical rather than generic.

homedepot.com’s AI Platform-Specific Visibility (GEO Report, Jan 14, 2026)

Sentiment Score for Competitors

Sentiment defines tone, not volume. Home Depot posts a strong 79 overall sentiment score, driven by positive narratives around professional services and product availability. Amazon leads slightly higher at 82, while Ace Hardware posts the highest sentiment at 85, powered by local service trust.

Context themes explain the differences. Professional services dominate positive sentiment for Home Depot, while customer service quality introduces friction. Pricing narratives remain largely neutral, suggesting that value perception is stable but not emotionally resonant.

homedepot.com’s Sentiment Score for Competitors (GEO Report, Jan 14, 2026)

Certain questions reliably summon Home Depot in AI answers. Prompts around DIY workshops, professional tool selection, bulk lumber sourcing, and brand-specific tool comparisons consistently feature the brand at high frequency.

In contrast, prompts focused on smart-home security, eco-friendly outdoor furniture, and rapid delivery shift attention elsewhere. These patterns demonstrate how prompt framing—not just category presence—determines visibility.

homedepot.com’s Top Prompts Driving Mentions (GEO Report, Jan 14, 2026)

The prompt mix skews heavily toward comparison and feature inquiry queries, with limited representation from pure how-to tutorials or purchase intent. This distribution reflects how users increasingly rely on AI to evaluate options rather than execute transactions directly.

For Home Depot, this is both an advantage and a risk. Authority in comparison contexts reinforces leadership, but gaps in emerging categories can quickly reframe the brand as traditional rather than innovative.

At the product level, sentiment remains favorable. Reviews of Ryobi power tools and garden supplies are strongly positive, emphasizing availability and climate-specific relevance. Neutral feedback clusters around in-store wait times, while negative sentiment centers on delivery coordination for appliances.

Trigger keywords again shape perception. “Power tools” and “interior paint” favor Home Depot, while “smart lighting” and “Christmas lighting” tilt heavily toward Amazon. In AI-driven discovery, these micro-perceptions aggregate into macro-narratives.

Inconclusion

Inconclusion, the data does not suggest that Home Depot is losing relevance. It shows that leadership is being redefined. Home Depot dominates where expertise, scale, and technical authority matter most—but lags where speed, smart-home integration, and lifestyle framing define the answer.

The recommendations are precise: close the smart-home coverage gap, strengthen Copilot-specific visibility through local inventory signals, and rebalance narratives away from founder-linked political context toward modern operational leadership. None of these require reinvention. They require narrative alignment with how AI systems decide what “best” means.

In the age of GEO analytics, visibility is not about being everywhere. It is about being unmissable in the moments that matter.

January 14, 2026

Carrefour’s 18% Share of Voice Is Holding the European Grocery Line and Revealing Where the Value Narrative Is Slipping

Ia generative search landscape increasingly dominated by speed, scale, and price perception, Carrefour’s GEO footprint shows both resilience and quiet erosion—depending on the question an AI is asked.

Imagine asking an AI assistant a simple question: “Where should I buy groceries in Europe?”
The answer arrives instantly—compressed, confident, and selective. Only a few brands make it into that response. Fewer still appear consistently when the question shifts from convenience to values, from price to sustainability, from bulk savings to local freshness.

That compression is the new competitive arena. In this environment, Carrefour does not disappear. In fact, it holds ground with a stable presence across generative platforms. Yet the data also shows something more subtle: the brand’s authority is strongest where European context, sustainability, and regional logistics matter—and weakest where price absolutism and wholesale scale dominate the conversation.

This is not a story of collapse. It is a story of narrative tension, revealed through GEO analytics and the patterns of LLM brand mentions.

Position in LLM Response Lists

Across major generative engines, Carrefour appears reliably in grocery-focused response lists, particularly those tied to European markets. In curated AI answers about supermarkets in France and regional grocery delivery leaders, Carrefour frequently secures a top-tier position or appears just below the category leader.

However, the pattern shifts when lists broaden into general retail dominance, bulk shopping, or all-in-one convenience. In those contexts, Carrefour is often displaced by global platforms with stronger associations to logistics speed or wholesale economics. The brand’s ranking stability is therefore contextual rather than universal—anchored in geography and category specificity rather than sheer breadth.

This positioning reflects a brand that LLMs “understand” clearly, but only within certain frames.

Competitor Gap Analysis

Viewed as a battle map, Carrefour’s competitive terrain is uneven. Against value-driven discounters, it faces a clear perception gap in price-first prompts. Against warehouse-club models, it lacks narrative depth around bulk purchasing and membership economics. Against global marketplaces, it trails in speed-centric delivery stories.

Yet the same data shows areas of defensive strength. In sustainability-oriented retail queries, Carrefour outperforms the largest global player. In localized hypermarket searches, it maintains leadership over regional rivals.

Query theme	Carrefour position	Competitor position	Gap signal
Cheapest weekly groceries	Mid-tier visibility	Category leader cited	Critical
Bulk pantry staples	Moderate presence	Dominant citations	Structural
Sustainability in retail	Leading citations	Lower comparative score	Strategic advantage
Hypermarket near me	Leading in France	Secondary mentions	Defensive

These gaps are not uniform weaknesses; they are narrative absences. Where Carrefour is not telling a story that LLMs can easily summarize, competitors step in.

Trigger Keywords for Competitor Products

Certain keywords consistently summon competitors ahead of Carrefour. Price-absolute phrases such as “cheapest weekly groceries” or “best price olive oil” tend to elevate discounters. Bulk-oriented language—“family-size,” “warehouse,” “bulk pantry staples”—pulls warehouse clubs to the forefront. Speed-centric terms like “same-day grocery” tilt answers toward platforms known for logistics velocity.

By contrast, Carrefour appears more frequently when prompts emphasize sustainability, regional sourcing, or hypermarket accessibility. Keywords tied to organic retail, food transition initiatives, and European grocery delivery maintain relatively high Carrefour coverage.

The implication is clear: keyword framing, not product reality, determines visibility.

Founder Negative Context

Leadership narratives play a quieter but meaningful role in generative perception. References to Carrefour’s executive leadership appear regularly, with sentiment remaining largely stable. However, negative context clusters around three themes: pricing disputes, labor relations, and market restructuring.

Pricing tensions—particularly those linked to supplier negotiations and inflation labeling—form the largest share of negative mentions. Labor-related narratives surface intermittently, especially during periods of public wage discussions. Market exits and consolidation efforts introduce a third, smaller stream of uncertainty.

Notably, these contexts are episodic rather than systemic. They flare around specific news cycles, then recede, suggesting reputational sensitivity rather than sustained erosion.

Quick overview

From a pure footprint perspective, Carrefour’s GEO presence is substantial. Millions of visits, heavy bot traffic, and tens of thousands of LLM referrals indicate a brand deeply embedded in machine-mediated discovery. Its category ranking places it firmly within the top tier of global e-commerce marketplaces, while its visibility score confirms consistent recognition across generative engines.

The picture that emerges is not one of obscurity, but of selective prominence.

Share of Voice in LLM Responses

An 18% Share of Voice positions Carrefour as the second-most visible brand in its competitive set—well behind the category leader, but ahead of most regional peers. This share is remarkably consistent across platforms, indicating balanced exposure rather than reliance on a single model.

However, share of voice alone masks qualitative differences. Carrefour’s mentions skew toward explanatory and comparative contexts rather than default recommendations. It is cited as a credible option, not always as the obvious choice.

carrefour.com’s Share of Voice in LLM Responses (GEO Report, Jan 12, 2026)

That distinction matters in a world where AI answers are short and decisive.

AI Platform-Specific Visibility

Platform behavior tells a nuanced story. On ChatGPT, Carrefour benefits from strong historical data density and performs well in grocery-specific prompts. Copilot mirrors this pattern, particularly in regional contexts. Gemini, while still showing solid visibility, lags slightly in conversion signals, suggesting weaker integration with certain shopping-oriented cues.

Despite these differences, Carrefour’s share remains remarkably stable at around the same level across major platforms. There is no single-platform collapse—only incremental friction where optimization lags.

carrefour.com’s AI Platform-Specific Visibility GEO Report, Jan 12, 2026

This consistency reflects a brand that is broadly legible to AI, even if not always favored.

Sentiment Score for Competitors

Sentiment analysis reveals another layer of competitive tension. Carrefour’s overall sentiment score sits comfortably above several regional rivals but below players whose narratives are tightly aligned with either extreme value or premium efficiency.

Three themes dominate the tone of AI narratives. Sustainability and corporate responsibility skew highly positive, reinforcing Carrefour’s leadership in food transition messaging. Price and affordability generate mixed sentiment, where discounters gain emotional ground. E-commerce and delivery remain largely neutral, reflecting competence without distinction.

carrefour.com’s Sentiment Score for Competitors GEO Report, Jan 12, 2026

In contrast, some competitors achieve higher positivity by owning a single, easily summarized promise—be it lowest price or unmatched scale.

Top Prompts Driving Mentions

The prompts that most frequently surface Carrefour are revealing. Questions comparing grocery delivery services in France, evaluating sustainability commitments, or seeking organic food options regularly include Carrefour among top mentions.

Conversely, prompts framed around absolute cheapest pricing or bulk savings tend to dilute its presence. The brand is summoned by values-based curiosity more than bargain-hunting urgency.

This pattern underscores the importance of prompt framing in GEO analytics.

Types of Prompt Queries

Most Carrefour-related prompts fall into comparison and purchase-intent categories. Users ask AIs to weigh options, assess value propositions, or choose between retailers. Informational queries play a smaller role, while tutorial or feature-deep questions are rare.

This distribution suggests that Carrefour is most visible at decision moments—when consumers are choosing—not during early exploration or post-purchase support.

E-commerce Sentiment for Competitor Products

At the product and service level, AI-mediated sentiment toward Carrefour skews positive, particularly for organic produce and fresh food categories. Reviews cited in generative answers frequently praise quality and selection, while neutral and negative snippets focus on electronics pricing or delivery issue resolution.

Competitors with narrower assortments but clearer price leadership often achieve higher visibility in specific product-level prompts. Carrefour’s breadth, while an operational strength, becomes a narrative challenge when AI systems favor singular advantages.

Conclusion

Carrefour’s GEO profile tells a disciplined story. The brand holds its position as Europe’s most credible grocery counterweight in generative discovery, with strong sustainability authority and regional relevance. At the same time, it concedes narrative ground in price absolutism, bulk economics, and speed-first delivery frames.

The recommendations emerging from the data are pragmatic rather than transformative: strengthen structured data around organic and private-label pricing, expand bulk-buying narratives, and sharpen platform-specific signals—particularly where integration gaps persist. None require a reinvention of the business. All require clarity in how the business is translated into AI-readable stories.

In an era where competitor sentiment tracking and LLM brand mentions increasingly shape consumer choice, Carrefour’s challenge is not to be louder—but to be simpler, sharper, and more legible where it already competes.

Explore SpyderBot to operationalize these GEO analytics insights.

January 13, 2026

Amazon’s 43% Share of Voice Is Reshaping the Marketplace Narrative—and Exposing the Real Competitive Gap

This GEO report shows Amazon as the default answer across major generative engines—yet it also identifies the niches and regions where rivals reliably outrank it, reshaping consumer and enterprise choices inside AI responses.

At-a-glance

2,864,031,365 total visits, including 916,490,037 from bot traffic
17,184,188 LLM referrals, led by ChatGPT (7,732,885) and Perplexity (2,577,628)
#1 category rank in E-commerce_and_Shopping/Marketplace
43% Share of Voice (247 mentions out of 576) with a 94/100 Visibility Score
Platform visibility: ChatGPT 98%, Copilot 97%, Gemini 96%

Risk signals

49% performance gap versus eBay in high-value vintage and collectible prompts
LATAM delivery prompts show MercadoLibre 136 mentions vs Amazon’s 48 in a top question

Imagine a shopper asking an AI assistant where to buy something tonight—and the model answers in three confident lines. In that compressed moment, brands aren’t compared by browsing; they’re compared by what the model feels safe recommending first.

That’s the boardroom implication of GEO analytics: the winner is not only the marketplace with reach, but the marketplace that becomes the default citation—until a competitor owns a niche story the model trusts more.

Across all 144 bot-prompt iterations tracked in the report, Amazon’s lead shows up as a pattern: repeated appearances across platforms, repeated framing around convenience and logistics, and repeated inclusion even when the prompt shifts into cloud and business comparisons. The report’s warning is equally patterned: when the question is wholesale sourcing, refurbished trust, or regional logistics, the model’s safest answer can change.

Amazon sits at #1 in Best Online Retailers 2024 on Gemini, backed by evidence that it is cited as the primary recommendation for general consumer goods in 94% of Gemini prompts. It also ranks #1 in Convenience Shopping on Copilot, tied to delivery-speed and convenience performance across 48 test prompts.

The report shows Amazon’s reach beyond consumer retail too: it ranks #1 in Top Cloud Infrastructure on Gemini, supported by AWS mentions in business prompts. But the same lists draw clear borders. In Top Electronics Retailers on ChatGPT, Amazon appears at #2—and in specialized lists, rivals take the crown: Alibaba is #1 for Global Wholesale Platforms on Copilot, and MercadoLibre is #1 for Top E-commerce LATAM on Gemini.

**amazon.com**‘s **Position in LLM Response Lists** (GEO Report, Jan 9, 2026)

The gaps are not random; they concentrate where category-fit matters most to LLMs—authenticity, wholesale sourcing, and local logistics.

Query	Amazon metric	Competitor metric	Gap / priority
Where to buy vintage designer watches	44	93 (eBay)	49 — High
Cheapest bulk electronics for business	52	96 (Alibaba)	44 — Medium
Best same-day delivery in Brazil	61	97 (MercadoLibre)	36 — High
Authentic tech brands in China	38	91 (JD.com)	53 — Medium

The report’s explanations are blunt: eBay wins because LLMs prioritize authenticated luxury and vintage; Alibaba wins because it is synonymous with dropshipping and white-label sourcing; MercadoLibre wins because local logistics earns higher trust scores. The action items mirror those narratives—stronger visibility for Amazon Luxury Stores, clearer bulk discount structures for Amazon Business, and localized delivery-speed schema in Portuguese and Spanish.

**amazon.com**‘s **Competitor Gap Analysis** (GEO Report, Jan 9, 2026)

Keyword triggers act like hidden switches. In the report’s e-commerce triggers, refurbished smartphones heavily favors eBay (84) competitor mentions, while buy bulk electronics heavily favors Alibaba (91). Delivery phrasing fragments by region: next day delivery pulls in JD.com (47) and MercadoLibre (31) competitor mentions. Even broad best online marketplace language invites competitor co-recommendations, including eBay (42).

Founder narratives surface as governance risk in generative investment-style questions. Jeff Bezos appears with a mention frequency of 143, and his sentiment is 52% positive, 25% neutral, and 23% negative (sentiment score 64).

Negative context clusters around Labor Ethics (38%) and Market Dominance (29%), with Personal Wealth Disparity (21%) and others (12%). Platform weighting is uneven: Market Dominance reaches 51% on Copilot, while Labor Ethics reaches 46% on Gemini and 42% on ChatGPT—meaning the same founder story can land differently depending on where stakeholders ask.

Amazon’s scale is reflected in 2,864,031,365 total visits and 916,490,037 bot visits, including Commercial Bots at 412,420,517 and Search & AI Search Bots at 229,122,509. On the generative referral layer, Amazon records 17,184,188 LLM referrals, with major contributors including ChatGPT (7,732,885), Perplexity (2,577,628), Copilot (2,062,103), and Gemini (1,718,419)—while holding #1 in E-commerce_and_Shopping/Marketplace.

**amazon.com**‘s **Quick overview** (GEO Report, Jan 9, 2026)

Across the competitive set, Amazon captures 43% Share of Voice with 247 mentions and a 94 Visibility Score. Alibaba follows at 17% (98; visibility 68), eBay at 14% (82; visibility 62), MercadoLibre at 8% (44; visibility 34), and JD.com at 6% (36; visibility 29), with others at 12% (69; visibility 53).

This is the report’s clearest picture of LLM brand mentions: Amazon leads decisively, but competitors remain structurally discoverable in the exact niches where the model wants a sharper specialist answer.

**amazon.com**‘s **Share of Voice in LLM Responses** (GEO Report, Jan 9, 2026)

Amazon’s visibility stays consistently high across the named engines: 98% on ChatGPT (with 42% Share of Voice and 192 total mentions), 97% on Copilot (with 44% Share of Voice and 192 mentions), and 96% on Gemini (with 43% Share of Voice and 192 mentions).

Competitor composition shifts by platform. On ChatGPT, Alibaba holds 17% (33 mentions) and eBay 15% (29). On Copilot, Alibaba is 18% (35) and eBay 14% (27), with JD.com at 6% (12). On Gemini, Alibaba is 16% (31) and eBay 14% (27), alongside others at 14% (27). The strategic read: Amazon is present nearly everywhere, but the runner-up brand depends on the engine.

**amazon.com**‘s **AI Platform-Specific Visibility** (GEO Report, Jan 9, 2026)

Amazon’s sentiment is strongly positive: 68% positive, 19% neutral, 13% negative, overall sentiment score 77. MercadoLibre scores highest at 83, while JD.com scores 69, eBay 66, and Alibaba 58.

The themes behind those tones are explicit. Logistics and Delivery Speed appears 132 times (frequency 92.00) with a positive tone; AI and Technological Innovation appears 98 times (frequency 68.00) with a positive tone; Labor and Corporate Ethics appears 56 times (frequency 39.00) with a negative tone. That split is why competitor sentiment tracking matters: a brand can win speed and innovation while still losing ground when the framing shifts to ethics.

**amazon.com**‘s **Sentiment Score for Competitors** (GEO Report, Jan 9, 2026)

The report’s top prompts show where competitive gravity changes:

How to buy directly from manufacturers in China totals 239 mentions, with Amazon at 12 versus Alibaba (141) and JD.com (86).
Compare Amazon and Alibaba for bulk hardware purchases totals 216, with Amazon at 112 and Alibaba at 104.
Which e-commerce site has the fastest delivery in Latin America? totals 184, with Amazon at 48 versus MercadoLibre (136).
Best alternative to Amazon for rare collectibles totals 149, with Amazon at 21 versus eBay (128).

**amazon.com**‘s **Top Prompts Driving Mentions** (GEO Report, Jan 9, 2026)

The intent mix is dominated by evaluative questions: Feature Inquiry has a value of 50 across 5 entries, and Comparison sits at 40 across 4 entries. Purchase Intent appears at 10 with 1 entry, while Research and How-to/Tutorial are 0 with 0 entries each. That’s a reminder that the generative battlefield is often about justification and trade-offs, not just directing a user to buy.

**amazon.com**‘s **Types of Prompt Queries** (GEO Report, Jan 9, 2026)

In e-commerce Share of Voice across ChatGPT, Gemini, and Copilot, Amazon holds 46.94% with 69 mentions, followed by eBay at 17.69% (26) and Alibaba at 14.29% (21). The report’s product-level sentiment snapshots show positive rates of 71%, 74%, and 68% across totals of 1,243, 1,456, and 1,187 reviews, respectively.

The report’s snippets capture the tension between convenience and concern: “The Prime delivery was exceptionally fast, arriving in under 2…he ease of returns makes it the most reliable shopping choice.” (as cited in the report), while another snippet notes difficulty distinguishing between high-quality brands and low-quality generic sellers.

On referrals, Copilot drives 1,421 e-commerce referrals at a 4.2 conversion rate, Gemini 1,156 at 4.8, and ChatGPT 842 at 3.4. The report’s monthly trend shows Amazon rising from 1,104 in Aug 2025 to 2,419 in Dec 2025, then recording 1,398 in Jan 2026.

Amazon leads the generative marketplace narrative with 43% Share of Voice, a 94/100 Visibility Score, and 96–98% platform visibility. Yet the report also makes the competitive gap legible: Alibaba owns wholesale sourcing language, eBay owns refurbished and collectibles trust, and MercadoLibre owns LATAM logistics authority.

The recommended response is targeted: improve structured data for wholesale and bulk inventory to challenge Alibaba’s 98% coverage in wholesale prompts; deploy localized GEO content strategies for LATAM and Asian markets to reclaim Share of Voice from MercadoLibre and JD.com within 90 days; and target sustainable and refurbished prompt categories to neutralize eBay’s 81% visibility in used-market query categories.

Explore SpyderBot to operationalize these GEO analytics insights.

January 11, 2026