September 8, 2026
September 8, 2026
Which Neocloud Providers Get Recommended by AI? A Deep Analysis of the Competitive Landscape
Google Cloud reaches 73.5% Visibility, while DigitalOcean leads Share of Voice at 11.1%. Era’s Neoclouds report reveals a market split between broad cloud comparisons, specialist discovery and the documentation and research used to evaluate providers.
Google Cloud reaches 73.5% Visibility, while DigitalOcean leads Share of Voice at 11.1%. Era’s Neoclouds report reveals a market split between broad cloud comparisons, specialist discovery and the documentation and research used to evaluate providers.
A neocloud company needs to enter a buyer’s infrastructure decision before it can demonstrate a better fit. That decision may begin with a broad cloud-pricing comparison, a developer-experience question or a search for specialist providers. Each frame brings a different competitive set. Era’s Neoclouds report connects player metrics with provider visibility, top queries, citation sources, individual cited pages, backlinks and technical readiness. It shows hyperscalers, specialist providers and research publishers appearing within the same answer environment. The strategic question is which comparison a company can enter credibly. Headline visibility, share of tracked mentions and average position describe different parts of that opportunity.
A neocloud can lose the shortlist before the question ever mentions a neocloud.
Google Cloud records 73.5% Visibility, Microsoft Azure 65.5%, and the Amazon Web Services row 68.0%. Yet the separate Share of Voice ranking is led by DigitalOcean at 11.1%, followed by Lambda at 8.2% and CoreWeave at 7.5%.
The query and citation pages give that contrast a practical shape. Broad cloud procurement sits beside specialist discovery and industry research. A provider’s route into the answer depends on which of those decisions it is equipped to substantiate.
01 / The comparison frame
A broad cloud question already contains a competitive choice
Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure share the top query “cloud providers pricing comparison 2026”. Amazon Web Services and AWS share “best cloud platforms developer experience 2026”. NVIDIA maps to “cloud GPU pricing AWS Azure Google Cloud 2026”, a query that names the major cloud platforms directly.
Groq and Nscale are associated with “top rated neocloud companies 2026”. Hetzner maps to “best value cloud hosting small startups pricing 2026”. These are different entry points: broad platform evaluation, specialist discovery and startup value.
That is why specialist mention share deserves attention alongside broad visibility. Lambda, CoreWeave, Nebius, Crusoe and RunPod appear in the SoV top ten, while the podium is occupied by the two Amazon name variants, Google Cloud, Microsoft Azure and NVIDIA. The two summaries expose different portions of the answer environment.
A specialist needs a reason to enter the comparison before it needs a reason to win it.
Make the comparison boundary explicit on the relevant page: which workload is a good fit, which capabilities are included, what implementation requires and when a broader cloud platform remains necessary. This creates evidence a buyer can evaluate when moving from a general cloud question to a specialist option.
02 / Entity identity
The first two podium rows belong to the same domain
Amazon Web Services and AWS appear separately, both pointing to aws.amazon.com. Their displayed Visibility is 68.0% and 67.5%; SoV is 6.6% and 6.4%. Both show 458 citations and an average position of 1.9.
These are two labels for one company, not two independent providers. Adding their Visibility or citation counts would turn overlapping records into a misleading combined total. The report is most useful here as a prompt to reconcile names before calculating company-level competitive share.
The distinction also matters for the podium itself. Google Cloud has the highest Visibility among the five cards, at 73.5%, but appears third. Podium order, answer presence and average mention position are separate readings; the card number should not become a claim that one provider wins every metric.
For a neocloud with a parent brand, product name and abbreviated name, establish a canonical entity record and track the variants consistently. The report demonstrates a measurement problem to check. It does not establish that a naming change by itself will increase visibility.
03 / Provider concentration
Groq’s gap is different from Nscale’s
Groq records 16.0% Visibility in ChatGPT and 2.0% in each of Perplexity, Google AI and Claude. Nscale records 8.0% in ChatGPT and Perplexity, and 4.0% in Google AI and Claude.
Both map to the same top-rated-neocloud query, but the investigations should differ. Groq’s presence is concentrated in one provider; Nscale’s is relatively sparse across all four. The first profile suggests comparing the evidence behind a strong engine with the three weak ones. The second calls for examining overall inclusion in relevant specialist evaluations.
Their citation mixes provide a second dimension. Groq has 3.4% Own Domain and 89.9% Others; Nscale has 7.0% Own Domain, 13.4% Socials and 79.5% Others. An experiment should therefore inspect both the company’s retrievable primary proof and its coverage outside the owned site.
Even the broad leaders change by provider. Google Cloud reaches 98.0% in Google AI but 54.0% in Claude. Azure records 58.0% and 66.0% respectively, reversing their relative order on those engines. A single blended market view would conceal that reversal.
04 / Two evidence layers
Documentation explains the platform; editorial pages explain the market
The leading cited domains include aws.amazon.com and cloud.google.com, each with 54 occurrences. The documentation domains docs.aws.amazon.com, at 43, and learn.microsoft.com, at 40, also appear near the top. These are useful places to examine how a platform makes implementation and product information available.
The ranking of individual cited pages has a different emphasis. A MarkTechPost GPU-neocloud comparison records 26 occurrences, and a CloudTechReport comparison records 21. Both displayed titles name CoreWeave, Nebius and Lambda. A Financial Times article whose displayed title concerns risks in the AI ecosystem follows at 20, with a Synergy Research market forecast at 16.
The provider needs evidence for two questions: “Can I use this platform?” and “How should I evaluate this part of the market?” Documentation addresses the first. Comparisons, independent analysis and research can help frame the second. High visibility in product documentation does not make editorial representation accurate by default.
The keyword list reinforces the range of jobs. Alongside “cloud providers” at 3.2K and “cloud platforms” at 2.3K, it includes “api documentation” at 819 and “developer experience” at 274. These displayed estimates cover more than initial category discovery.
The evidence needed to discover a provider and the evidence needed to deploy on it should connect.
Create a path from the comparison claim to primary details: a pricing basis, a workload description, reproducible performance evidence where available, and an implementation guide. Then check whether prominent category pages use the same facts and definitions.
05 / Depth of entry
A strong position can coexist with a small opportunity footprint
Nscale’s average position is 2.1 at 6.0% Visibility. Oracle Cloud Infrastructure appears more often, at 18.5% Visibility, but later on average, at 5.1. One is relatively early in the answers it enters; the other has a broader presence with later placement.
That distinction should shape the growth target. A provider with Nscale’s profile should test expansion into additional relevant questions while protecting the evidence that makes its existing appearances useful. A company with broader but later placement should inspect whether its specific advantage is being stated clearly in the answer.
There is another kind of participant in the field: ABI Research has 7.5% Visibility, and abiresearch.com records 35 citation occurrences in Top Citation Sources. Its associated query is “neocloud industry leaders 2026”. A research publisher can enter both the answer and the evidence used to interpret the category.
For providers, research visibility is therefore a separate relationship to evaluate. Supply clear, verifiable information about the company’s scope and capabilities to the publications assessing the market. Treat accurate categorization and independent assessment as different objectives from a product-page ranking.
06 / Authority and access
The largest backlink count does not settle the neocloud decision
Oracle Cloud Infrastructure leads the backlink page at 370.8M, ahead of Amazon Web Services at 127M and Google Cloud at 16.6M. Its headline Visibility is nevertheless 18.5%, against 68.0% for Amazon Web Services and 73.5% for Google Cloud. Domain-wide link scale and presence in this report produce different rankings.
Oracle also has the largest Own Domain share among the ten citation-mix rows, at 24.7%. That is a statement about the composition of its citation footprint, not evidence that it appears in more answers. Source composition, absolute presence and the breadth of a corporate domain need separate treatment.
Competitive Landscape records 288 common issues: 122 structured-data issues, 59 readability issues, 39 AI-assistant-guideline issues, 26 crawler-access issues, 19 page-discovery issues and 23 content-feed issues. Structured data and readability together account for 181 of 288.
Prioritize the primary pages behind the chosen comparison. Ensure that pricing assumptions, platform scope and implementation evidence can be read and discovered, then validate the exact issues found on those pages. Backlink acquisition alone does not specify which of those buyer questions the company will answer well.
07 / 90 days
Connect specialist proof to the cloud buying journey
Days 1–30 — define the comparison and reconcile the entity
Separate broad cloud pricing, developer experience, startup value, top-rated neoclouds and industry research into distinct query groups. Keep the report’s exact wording in the baseline.
Reconcile the parent, company, product and acronym names in your tracking. Resolve overlaps before calculating company-level totals.
Measure the four providers separately. Distinguish a concentrated profile such as Groq’s from sparse coverage across engines such as Nscale’s.
Days 31–60 — connect the category claim to implementation proof
Publish one primary evidence set for the chosen workload: pricing assumptions, platform scope, documented limits and a reproducible implementation path.
Make developer documentation discoverable from the relevant comparison page. Check structured data, readable content, access rules and page discovery there.
Review how the high-occurrence category comparisons describe the company. Prepare precise corrections with supporting primary evidence where needed.
Days 61–90 — test specialist entry and evidence consistency
Seek accurate, evidence-backed consideration from relevant comparison and research publishers, without treating coverage as a guaranteed ranking lever.
Rerun the original query groups and provider tests. Record new answer appearances, average position and mention share as separate outcomes.
Compare the sources actually cited in new answers with the documentation and editorial pages reviewed. Expand the experiment only where the intended specialist use case becomes clearer.
The goal is a buyer who can move from “which cloud?” to a defensible specialist choice, with enough evidence to evaluate and implement it.
Want this scoreboard for your own brand? Run a free audit at tryera.ai/free-report — 30 minutes, your numbers, no deck required.
Full report with source data: Neoclouds.
A neocloud company needs to enter a buyer’s infrastructure decision before it can demonstrate a better fit. That decision may begin with a broad cloud-pricing comparison, a developer-experience question or a search for specialist providers. Each frame brings a different competitive set. Era’s Neoclouds report connects player metrics with provider visibility, top queries, citation sources, individual cited pages, backlinks and technical readiness. It shows hyperscalers, specialist providers and research publishers appearing within the same answer environment. The strategic question is which comparison a company can enter credibly. Headline visibility, share of tracked mentions and average position describe different parts of that opportunity.
A neocloud can lose the shortlist before the question ever mentions a neocloud.
Google Cloud records 73.5% Visibility, Microsoft Azure 65.5%, and the Amazon Web Services row 68.0%. Yet the separate Share of Voice ranking is led by DigitalOcean at 11.1%, followed by Lambda at 8.2% and CoreWeave at 7.5%.
The query and citation pages give that contrast a practical shape. Broad cloud procurement sits beside specialist discovery and industry research. A provider’s route into the answer depends on which of those decisions it is equipped to substantiate.
01 / The comparison frame
A broad cloud question already contains a competitive choice
Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure share the top query “cloud providers pricing comparison 2026”. Amazon Web Services and AWS share “best cloud platforms developer experience 2026”. NVIDIA maps to “cloud GPU pricing AWS Azure Google Cloud 2026”, a query that names the major cloud platforms directly.
Groq and Nscale are associated with “top rated neocloud companies 2026”. Hetzner maps to “best value cloud hosting small startups pricing 2026”. These are different entry points: broad platform evaluation, specialist discovery and startup value.
That is why specialist mention share deserves attention alongside broad visibility. Lambda, CoreWeave, Nebius, Crusoe and RunPod appear in the SoV top ten, while the podium is occupied by the two Amazon name variants, Google Cloud, Microsoft Azure and NVIDIA. The two summaries expose different portions of the answer environment.
A specialist needs a reason to enter the comparison before it needs a reason to win it.
Make the comparison boundary explicit on the relevant page: which workload is a good fit, which capabilities are included, what implementation requires and when a broader cloud platform remains necessary. This creates evidence a buyer can evaluate when moving from a general cloud question to a specialist option.
02 / Entity identity
The first two podium rows belong to the same domain
Amazon Web Services and AWS appear separately, both pointing to aws.amazon.com. Their displayed Visibility is 68.0% and 67.5%; SoV is 6.6% and 6.4%. Both show 458 citations and an average position of 1.9.
These are two labels for one company, not two independent providers. Adding their Visibility or citation counts would turn overlapping records into a misleading combined total. The report is most useful here as a prompt to reconcile names before calculating company-level competitive share.
The distinction also matters for the podium itself. Google Cloud has the highest Visibility among the five cards, at 73.5%, but appears third. Podium order, answer presence and average mention position are separate readings; the card number should not become a claim that one provider wins every metric.
For a neocloud with a parent brand, product name and abbreviated name, establish a canonical entity record and track the variants consistently. The report demonstrates a measurement problem to check. It does not establish that a naming change by itself will increase visibility.
03 / Provider concentration
Groq’s gap is different from Nscale’s
Groq records 16.0% Visibility in ChatGPT and 2.0% in each of Perplexity, Google AI and Claude. Nscale records 8.0% in ChatGPT and Perplexity, and 4.0% in Google AI and Claude.
Both map to the same top-rated-neocloud query, but the investigations should differ. Groq’s presence is concentrated in one provider; Nscale’s is relatively sparse across all four. The first profile suggests comparing the evidence behind a strong engine with the three weak ones. The second calls for examining overall inclusion in relevant specialist evaluations.
Their citation mixes provide a second dimension. Groq has 3.4% Own Domain and 89.9% Others; Nscale has 7.0% Own Domain, 13.4% Socials and 79.5% Others. An experiment should therefore inspect both the company’s retrievable primary proof and its coverage outside the owned site.
Even the broad leaders change by provider. Google Cloud reaches 98.0% in Google AI but 54.0% in Claude. Azure records 58.0% and 66.0% respectively, reversing their relative order on those engines. A single blended market view would conceal that reversal.
04 / Two evidence layers
Documentation explains the platform; editorial pages explain the market
The leading cited domains include aws.amazon.com and cloud.google.com, each with 54 occurrences. The documentation domains docs.aws.amazon.com, at 43, and learn.microsoft.com, at 40, also appear near the top. These are useful places to examine how a platform makes implementation and product information available.
The ranking of individual cited pages has a different emphasis. A MarkTechPost GPU-neocloud comparison records 26 occurrences, and a CloudTechReport comparison records 21. Both displayed titles name CoreWeave, Nebius and Lambda. A Financial Times article whose displayed title concerns risks in the AI ecosystem follows at 20, with a Synergy Research market forecast at 16.
The provider needs evidence for two questions: “Can I use this platform?” and “How should I evaluate this part of the market?” Documentation addresses the first. Comparisons, independent analysis and research can help frame the second. High visibility in product documentation does not make editorial representation accurate by default.
The keyword list reinforces the range of jobs. Alongside “cloud providers” at 3.2K and “cloud platforms” at 2.3K, it includes “api documentation” at 819 and “developer experience” at 274. These displayed estimates cover more than initial category discovery.
The evidence needed to discover a provider and the evidence needed to deploy on it should connect.
Create a path from the comparison claim to primary details: a pricing basis, a workload description, reproducible performance evidence where available, and an implementation guide. Then check whether prominent category pages use the same facts and definitions.
05 / Depth of entry
A strong position can coexist with a small opportunity footprint
Nscale’s average position is 2.1 at 6.0% Visibility. Oracle Cloud Infrastructure appears more often, at 18.5% Visibility, but later on average, at 5.1. One is relatively early in the answers it enters; the other has a broader presence with later placement.
That distinction should shape the growth target. A provider with Nscale’s profile should test expansion into additional relevant questions while protecting the evidence that makes its existing appearances useful. A company with broader but later placement should inspect whether its specific advantage is being stated clearly in the answer.
There is another kind of participant in the field: ABI Research has 7.5% Visibility, and abiresearch.com records 35 citation occurrences in Top Citation Sources. Its associated query is “neocloud industry leaders 2026”. A research publisher can enter both the answer and the evidence used to interpret the category.
For providers, research visibility is therefore a separate relationship to evaluate. Supply clear, verifiable information about the company’s scope and capabilities to the publications assessing the market. Treat accurate categorization and independent assessment as different objectives from a product-page ranking.
06 / Authority and access
The largest backlink count does not settle the neocloud decision
Oracle Cloud Infrastructure leads the backlink page at 370.8M, ahead of Amazon Web Services at 127M and Google Cloud at 16.6M. Its headline Visibility is nevertheless 18.5%, against 68.0% for Amazon Web Services and 73.5% for Google Cloud. Domain-wide link scale and presence in this report produce different rankings.
Oracle also has the largest Own Domain share among the ten citation-mix rows, at 24.7%. That is a statement about the composition of its citation footprint, not evidence that it appears in more answers. Source composition, absolute presence and the breadth of a corporate domain need separate treatment.
Competitive Landscape records 288 common issues: 122 structured-data issues, 59 readability issues, 39 AI-assistant-guideline issues, 26 crawler-access issues, 19 page-discovery issues and 23 content-feed issues. Structured data and readability together account for 181 of 288.
Prioritize the primary pages behind the chosen comparison. Ensure that pricing assumptions, platform scope and implementation evidence can be read and discovered, then validate the exact issues found on those pages. Backlink acquisition alone does not specify which of those buyer questions the company will answer well.
07 / 90 days
Connect specialist proof to the cloud buying journey
Days 1–30 — define the comparison and reconcile the entity
Separate broad cloud pricing, developer experience, startup value, top-rated neoclouds and industry research into distinct query groups. Keep the report’s exact wording in the baseline.
Reconcile the parent, company, product and acronym names in your tracking. Resolve overlaps before calculating company-level totals.
Measure the four providers separately. Distinguish a concentrated profile such as Groq’s from sparse coverage across engines such as Nscale’s.
Days 31–60 — connect the category claim to implementation proof
Publish one primary evidence set for the chosen workload: pricing assumptions, platform scope, documented limits and a reproducible implementation path.
Make developer documentation discoverable from the relevant comparison page. Check structured data, readable content, access rules and page discovery there.
Review how the high-occurrence category comparisons describe the company. Prepare precise corrections with supporting primary evidence where needed.
Days 61–90 — test specialist entry and evidence consistency
Seek accurate, evidence-backed consideration from relevant comparison and research publishers, without treating coverage as a guaranteed ranking lever.
Rerun the original query groups and provider tests. Record new answer appearances, average position and mention share as separate outcomes.
Compare the sources actually cited in new answers with the documentation and editorial pages reviewed. Expand the experiment only where the intended specialist use case becomes clearer.
The goal is a buyer who can move from “which cloud?” to a defensible specialist choice, with enough evidence to evaluate and implement it.
Want this scoreboard for your own brand? Run a free audit at tryera.ai/free-report — 30 minutes, your numbers, no deck required.
Full report with source data: Neoclouds.
