NEAR Foundation AI Market Strategy Report - Layer 1 Blockchain Platforms

Answer Capsule

NEAR Foundation appears in AI responses across the Layer 1 blockchain platform category but receives zero valid recommendations, creating a structural gap between raw visibility and shortlist eligibility. The benchmark places NEAR Foundation at a 4.12% raw mention presence rate and a monthly AI Authority Value of $3,401.61, all of which comes from visibility assist value with no recommendation credit attached. Every mention is neutral: no positive framing, no negative framing, and a net sentiment score of 0.0. The clearest weakness is the complete absence of recommendation credit across all platforms and all prompt clusters. The clearest opportunity is building recommendation eligibility in the consideration and evaluation stages, where developers and enterprise buyers are actively comparing protocols and AI systems are functioning as shortlist builders.

Who This Report Is For

This report is for NEAR Foundation leadership, marketing, and ecosystem teams evaluating how AI-led discovery is shaping buyer shortlists in the Layer 1 blockchain platform market and where NEAR Foundation stands relative to competitors at the recommendation stage.

Report Card

• Report type: AI Company Market Strategy Report
• Target company: NEAR Foundation
• Category / market studied: Blockchain Layer 1 Platforms
• Reporting month: July 2026
• AI platforms tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity
• Public high-intent clusters: 3 (consideration, evaluation, decision)
• AI observations analyzed: 170
• Competitors tracked: TRON DAO, Avalanche, BNB Chain, Ethereum Foundation, Polygon Labs, Solana Foundation

Executive Summary

The July 2026 LLM Authority Index benchmark for Layer 1 blockchain platforms reveals a market where raw visibility does not equal recommendation power. NEAR Foundation appears in 7 of 170 observations for a 4.12% raw mention presence rate, placing it inside a cluster of brands that are visible to AI systems but never advanced as recommended choices. Its monthly AI Authority Value of $3,401.61 comes entirely from visibility assist value, with zero recommendation credit attached to any appearance.

NEAR Foundation shares this zero-recommendation pattern with TRON DAO and Ethereum Foundation, each of which also registers a 4.12% raw mention presence rate and zero valid recommendations. All three brands are being referenced factually or neutrally inside AI responses but are never shortlisted, ranked, or endorsed. This shared pattern is the most commercially significant finding for NEAR Foundation in the dataset: it is not alone in being overlooked, but it is also not differentiated from other brands that carry the same structural limitation.

The strongest platform signal for NEAR Foundation is Perplexity, where it appears in 4 of 37 observations and accounts for $1,919.53 of its total monthly AI Authority Value. ChatGPT contributes 2 observations and Google AI Mode contributes 1. NEAR Foundation has no presence on Copilot, Gemini, or Google AI Overviews.

The strongest cluster by observation count is the consideration stage, where NEAR Foundation appears in 4 of 51 observations tied to prompts about the best Layer 1 blockchain platforms. The evaluation cluster contributes 3 appearances. The decision cluster, which covers pricing and cost structures and represents the highest commercial value in the benchmark at approximately $3.94 million, shows zero NEAR Foundation presence.

The clearest competitive gap is the complete absence of recommendation credit in a market where Avalanche, Solana Foundation, and Polygon Labs are earning valid recommendations and compounding their authority signals. NEAR Foundation is present in AI responses but is never the answer. In a market where AI systems increasingly determine which brands appear on buyer shortlists, that gap carries a material commercial cost.

What NEAR Foundation Is Winning

NEAR Foundation has a narrow but meaningful presence on Perplexity, appearing in 4 of 37 observations on that platform. Perplexity accounts for more than half of NEAR Foundation's total monthly AI Authority Value at $1,919.53, making it the platform where NEAR Foundation has its clearest public evidence footprint.

NEAR Foundation also carries a clean neutral framing profile with no negative mentions anywhere in the dataset. A net sentiment score of 0.0 is not a positive outcome in terms of recommendation credit, but it means NEAR Foundation is not carrying cautionary language, competitive displacement framing, or critical references that would actively damage buyer confidence. That is a baseline worth protecting and building from.

Where NEAR Foundation Has the Clearest AI Visibility Gaps

The most significant gap is the complete absence of valid recommendation credit. NEAR Foundation has zero valid recommendations, zero top-three placements, zero rank-one placements, and zero top-ten placements across all platforms and clusters in this dataset. Its valid recommendation coverage is 0%. Every appearance is a neutral reference, not a recommendation.

NEAR Foundation is absent from three of six platforms tested: Copilot, Gemini, and Google AI Overviews. These platforms represent a combined monthly AI opportunity that NEAR Foundation does not access at all. Google AI Overviews alone drives significant reach for brands that earn presence there.

The decision-stage cluster is the largest commercial opportunity in the benchmark at approximately $3.94 million, and NEAR Foundation has zero presence in it. This cluster represents late-stage buyers evaluating transaction costs and protocol economics, the highest-intent audience in the category. Absence at this stage means NEAR Foundation is not participating in the conversations where choices are finalized.

Competitor displacement is direct and measurable. Avalanche holds a monthly AI Authority Value of $62,583, more than 18 times NEAR Foundation's total. Solana Foundation and Polygon Labs earn valid recommendation credit that NEAR Foundation does not. Even brands that share NEAR Foundation's zero-recommendation profile, including TRON DAO and Ethereum Foundation, offer no differentiation pathway because the problem is structural across this visibility tier, not unique to any one brand.

Biggest Opportunity

The biggest opportunity for NEAR Foundation is converting its existing neutral presence on Perplexity and ChatGPT into recommendation credit within the consideration and evaluation clusters. NEAR Foundation already appears in AI responses on these platforms, which means some degree of retrievability exists. The gap is not pure absence; it is the absence of a recommendation signal. The path from neutral reference to valid recommendation requires a stronger citation architecture, including comparison articles, developer documentation, protocol benchmarks, throughput analyses, and community-sourced evaluations that position NEAR as a recommended platform for specific use cases rather than a factual data point in a longer list. The consideration cluster, where NEAR Foundation already appears in 4 of 51 observations, is the most actionable starting point.

Prompt Evidence

Perplexity / Best Layer 1 Blockchain Platforms (Consideration) Prompt: "What are the best Layer 1 blockchain platforms for developers?" Result: NEAR Foundation appeared as a neutral reference in the response but was not recommended or ranked among the leading options.

ChatGPT / Blockchain Protocol Comparisons (Evaluation) Prompt: "Compare blockchain protocols for enterprise application development" Result: NEAR Foundation appeared as a factual reference but was not advanced as a recommended protocol for the use case described.

Google AI Mode / Best Layer 1 Blockchain Platforms (Consideration) Prompt: "Which Layer 1 blockchain platform should I build on?" Result: NEAR Foundation appeared once as a neutral contextual reference and received no recommendation credit.

Perplexity / Blockchain Protocol Comparisons (Evaluation) Prompt: "How does NEAR Protocol compare to other Layer 1 blockchains?" Result: NEAR Foundation was present as the subject of the comparison but was not advanced as the recommended choice in the response.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map every prompt where NEAR Foundation appears across all platforms and clusters, and identify the specific sources AI systems are retrieving to produce neutral references rather than recommendations.

Phase 2: Recommendation Readiness Plan Identify the citation architecture gaps that prevent NEAR Foundation from earning recommendation credit, with focus on comparison content, developer documentation, and protocol performance benchmarks that AI systems can retrieve and synthesize into shortlist responses.

Phase 3: Owned Answer Layer Buildout Develop structured content that positions NEAR Foundation as a recommended platform for specific use cases, including developer ecosystem depth, enterprise adoption, transaction throughput, and cost efficiency, formatted for AI extractability.

Phase 4: Citation and Authority Layer Development Strengthen the public evidence layer by ensuring third-party comparison articles, ecosystem reports, and developer community content cite NEAR Foundation positively and consistently across the sources AI systems are most likely to retrieve.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track NEAR Foundation's valid recommendation coverage, top-three rate, and rank-one rate across all platforms and clusters on a monthly basis to measure progress from neutral reference to shortlist eligibility.

Why This Matters

AI-led discovery is reshaping where buyer shortlists are formed in the Layer 1 blockchain platform market. When a developer or enterprise decision-maker asks an AI system to compare protocols or identify the best platform for a specific use case, the AI response functions as the initial shortlist. NEAR Foundation appears in those responses but is never advanced as a choice. Buyers who rely on AI as a discovery tool may encounter NEAR as background context while being directed toward competitors who carry active recommendation credit.

The brands that earn recommendation credit today, particularly Solana Foundation and Polygon Labs, are building a compounding advantage. Each recommendation reinforces the source evidence that future AI systems are more likely to retrieve. NEAR Foundation's current position as a neutral reference rather than a recommended choice means it risks structural exclusion from AI-generated shortlists as AI adoption in technical buying decisions continues to grow. Targeted correction of the prompt, page, and citation layers is the most direct path to changing that outcome.

Core Metrics

• Mentions: 7
• Valid recommendations: 0
• Top 3 recommendation count: 0
• Rank 1 recommendation count: 0
• Average recommended rank: not applicable (no recommendations recorded)
• Positive mentions: 0
• Neutral mentions: 7
• Negative mentions: 0
• Raw mention presence rate: 4.12%
• Valid recommendation coverage: 0%
• Top 3 recommendation rate: 0%
• Rank 1 recommendation rate: 0%
• Monthly AI Authority Value: $3,401.61 (visibility assist value only, no recommendation credit)
• Strongest cluster by recommendation behavior: none (zero recommendations across all clusters)
• Strongest platform by observation count: Perplexity (4 mentions)

Sentiment Score

Sentiment Score = (positive mentions x 1 + neutral mentions x 0 + negative mentions x -1) / total mentions

For NEAR Foundation: (0 x 1 + 7 x 0 + 0 x -1) / 7 = 0.0

A sentiment score of 0.0 means every mention is neutral. NEAR Foundation is referenced factually inside AI responses but is never endorsed and never criticized. This distinction matters because unclassified mention counts are misleading. Raw share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral contextual reference, a cautionary mention, and a competitor-displaced mention are not equivalent outcomes. Counting all of them as wins produces a false picture of commercial exposure. Classified sentiment is required before drawing any conclusions from AI visibility data, and for NEAR Foundation, the classified picture shows a brand that is present but entirely without recommendation weight.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of NEAR Foundation's AI visibility and recommendation performance in the Layer 1 blockchain platform category. It is not a client implementation case study and does not reflect a CiteWorks Studio client engagement.
2. Data collection window: July 2026.
3. AI platforms tested: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity.
4. Total observations analyzed: 170, distributed across 3 public high-intent clusters.
5. Competitor universe: TRON DAO, Avalanche, BNB Chain, Ethereum Foundation, NEAR Foundation, Polygon Labs, Solana Foundation. This universe is limited to seven entities and is not a full market census of the Layer 1 blockchain platform category.
6. Public clusters used in this report: Consideration (Best Layer 1 Blockchain Platforms), Evaluation (Blockchain Protocol Comparisons), Decision (Blockchain Protocol Pricing and Cost Structures). The full LLM Authority Index benchmark includes 10 clusters. Results from the 7 clusters not included in the public dataset are not reflected here and may affect NEAR Foundation's full visibility profile.
7. Stage 0 role: Raw AI observations were collected and classified before metrics aggregation. Unique prompt count was not provided in the public dataset and is not reported here.
8. Definition of a mention: A mention is recorded when the target company appears in an AI-generated response, regardless of sentiment, ranking, or framing. A mention is not a recommendation.
9. Definition of a valid recommendation: A valid recommendation is a positive, shortlist-quality appearance in which the AI system advances the company as a recommended choice, ranked option, or shortlisted platform. Neutral references, factual citations, and contextual appearances are not counted as valid recommendations.
10. Modeled values: Monthly AI Authority Value figures are modeled benchmark estimates based on observation data. They are not revenue, pipeline value, booked demand, or any form of verified financial outcome.
11. Platform absence note: Zero observations on Copilot, Gemini, and Google AI Overviews reflect absence in the public dataset during the reporting period. This may reflect actual platform-level absence or data collection scope at the time of the benchmark.
12. Limitations: This is a point-in-time benchmark. AI outputs change as model versions, retrieval logic, and source footprints evolve. The public dataset covers 3 of 10 total clusters, which may underrepresent NEAR Foundation's full visibility profile. This report is not a full audit and should be treated as a directional market signal, not a definitive account of NEAR Foundation's AI recommendation status across all contexts.

See How AI Is Recommending Your Brand

The benchmark shows a clear and repeatable pattern: visibility does not equal recommendation power. NEAR Foundation appears in AI responses across multiple platforms but is never recommended. CiteWorks Studio can show you exactly where your brand appears, where competitors are being recommended instead, which prompts carry the most commercial risk, which sources are shaping AI answers in your category, and what needs to change to move from neutral reference to recommendation-stage eligibility.