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Upgrade Labs isn't optimized for AI search yet.

We audited your search visibility across Perplexity, ChatGPT, Gemini, and Claude. Upgrade Labs was cited in 1 of 5 answers. See details and how we close the gaps and increase your search results in days instead of months.

Immediate in-depth auditvs. 8 months at agencies

Upgrade Labs is cited in 1 of 5 buyer-intent queries we ran on Perplexity for "human performance optimization technology." Competitors are winning the unbranded category answers.

Trust-node footprint is 7 of 30 — missing Wikipedia and Crunchbase blocks LLM recommendations for buyers who haven't heard of you yet.

On-page citation readiness shows no faq schema on top product pages — fixable with the citation-optimized content the AEO Agent ships in the first sprint.

AI-Forward Companies Trust MarketerHire

Plaid Plaid
MasterClass MasterClass
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30,000+
Matches Made
6,000+
Customers
Since 2019
Track Record

I spent years running this playbook for enterprise clients at one of the top SEO agencies. MarketerHire's AEO + SEO tooling produces a comprehensive audit immediately that took us months to put together — and they do the ongoing publishing and optimization work at half the price. If I were buying this today, I'd buy it here.

— Marketing leader, formerly at a top SEO growth agency

AI Search Audit

Here's Where You Stand in AI Search

A real audit. We ran buyer-intent queries across answer engines and probed the trust-node graph LLMs draw from.

Sample mini-audit only. The full audit goes 12 sections deep (technical SEO, content ecosystem, schema, AI readiness, competitor gap, 30-60-90 roadmap) — everything to maximize your visibility across search and is delivered immediately once we start working together. See a sample full audit →

21
out of 100
Major gap, real upside

Your buyers are asking AI assistants for human performance optimization technology and Upgrade Labs isn't being recommended. Closing this gap is the highest-leverage move available right now.

AI / LLM Visibility (AEO) 20% · Weak

Upgrade Labs appears in 1 of 5 buyer-intent queries we ran on Perplexity for "human performance optimization technology". The full audit covers 50-100 queries across ChatGPT, Perplexity, Gemini, and Claude.

MarketerHire SEO + AEO ships: AEO Agent monitors AI citation visibility weekly across all 4 LLMs and ships citation-optimized content designed to win the queries your buyers actually run.

Trust-Node Footprint 23% · Weak

Upgrade Labs appears in 7 of the 30 trust nodes that LLMs draw from (Wikipedia, G2, Crunchbase, Forbes, HBR, Reddit, YouTube, and 23 more).

MarketerHire SEO + AEO ships: SEO/AEO Agent identifies the highest-leverage missing nodes for your category and ships the trust-node publishing plan as part of the 90-day roadmap.

SEO / Organic Covered in full audit

Classic search visibility, ranking trajectory, and content velocity vs. category competitors. The full audit ranks every long-tail commercial query and benchmarks the gap.

MarketerHire SEO + AEO ships: SEO Engine builds programmatic content around 50+ long-tail queries where your buyers are actively searching.

Paid Acquisition Covered in full audit

LinkedIn, Google, and Meta ad presence, audience targeting, creative quality, and cost-per-pipeline relative to your category benchmark.

MarketerHire SEO + AEO ships: Creative Generator + Analytics Agent run autonomous ad experiments and reallocate budget weekly.

Content, Lifecycle & Outbound Covered in full audit

Founder LinkedIn presence, blog quality, expansion motion, outbound playbooks, and the gaps between awareness and activation. Mapped to a 90-day execution plan.

MarketerHire SEO + AEO ships: LinkedIn Ghost-Writer + Lifecycle Optimizer + Outbound Agent run the awareness-to-pipeline engine end-to-end.

Live citation panel — 5 buyer-intent queries

best human performance optimization technology in 2026 not cited expand ↓

21 competitors cited in this response (names redacted; full audit names them).

The best human performance optimization technologies in 2026 center on **Competitor A analytics**, **wearable devices**, and **real-time biometric monitoring** that work together to personalize training and recovery[1][4][9]. **AI and Competitor B** AI has become the cornerstone of performance optimization, transforming how athletes and fitness enthusiasts train[7]. Competitor C platforms analyze multiple performance metrics—including heart rate variability, sleep quality, and fatigue levels—to adjust workouts in real time[9]. Competitor D individual training, gyms and facilities use AI to predict member engagement patterns and automate operations[6]. Competitor E coaches leverage AI to convert complex, messy data into fast, actionable decisions[7]. **Competitor F and Competitor G** Competitor H have evolved into essential tools for performance optimization[1][4]. The **Competitor I series** provides detailed analytics for runners, while specialized devices like the **Competitor J 2.0** focus on breathing optimization to enhance athletic output[5]. These devices enable real-time performance prediction and personalized athlete development by continuously monitoring physiological data[1]. **Competitor K and Competitor L** Competitor M tools like **Competitor N** (Competitor O Competitor P), kinograms, and Competitor Q technology now quantify how athletes move with precision[7]. This movement profiling helps identify deceleration mechanics and individual movement patterns, enabling coaches to create highly individualized training programs tailored to each athlete's unique needs[7]. **Competitor R and Competitor S** Competitor R technology has become equally important as training stimulus[4]. Competitor T integrate sleep quality, heart rate variability, and fatigue data to optimize recovery protocols, supporting both performance gains and long-term athlete health[9].

Upgrade Labs did not appear in this Perplexity response.

top human performance optimization technology alternatives not cited expand ↓

23 competitors cited in this response (names redacted; full audit names them).

Competitor A on current market offerings, the **top human performance optimization technology alternatives** include wearable monitoring systems, recovery technologies, and data analytics platforms that cater to different aspects of athletic and personal performance enhancement. ## Competitor B & Competitor C **Competitor D health tracking devices** form the foundation of performance optimization[5]. The **Competitor E** is recognized as a leading standard for 24-hour activity tracking, offering sophisticated monitoring of vital health metrics[5]. The **Competitor F** and **Competitor G** provide similar comprehensive performance and recovery monitoring, with Competitor G distinguished by its accuracy in optical heart rate tracking[5]. For team sports, **Competitor H** specializes in precision motion sensing and localization, capturing metrics including position, speed, and acceleration with real-time performance data and load management capabilities[5]. **Competitor I** technology provides comprehensive performance analysis across speed, distance, acceleration, and workload, particularly valuable for understanding team dynamics and position-specific physical demands[5]. ## Competitor J & Competitor K **Competitor L Competitor M** delivers specific wavelengths of red and near-infrared light to stimulate mitochondrial function, reducing muscle soreness and accelerating tissue repair in 15-20 minute sessions[2]. **Competitor N Competitor O** uses neuromuscular electrical stimulation with calibrated protocols to activate muscle fibers, improve coordination, and accelerate recovery[2]. Competitor P recovery modalities include hyperbaric oxygen therapy, Competitor Q therapy, and Competitor R compression therapy[2]. ## Competitor S **Competitor T** offers a unified athlete monitoring system that consolidates medical and performance data from multiple coaches and trainers, streamlining workflows and enabling advanced performance insights[6]. ## Competitor U **Competitor V brain-computer interfaces** featuring electrical brain stimulation headsets are being tested by athletic trainers and defense agencies to accelerate learning and boost physical and cognitive performance, though safety and long-term effects are still under study[3].

Upgrade Labs did not appear in this Perplexity response.

how to choose a human performance optimization technology not cited expand ↓

51 competitors cited in this response (names redacted; full audit names them).

To choose a **human performance optimization (Competitor A) technology**, conduct a systematic performance analysis to identify gaps, evaluate technologies across key domains like physical fitness, cognition, and sleep using standardized metrics, prioritize those that align with your biological potential and goals, and assess evidence of effectiveness, cost, and ethical fit.[2][3][6] ### Competitor B 1: Competitor C and Competitor D with a **rigorous analysis** of performance requirements at individual, team, or organizational levels to pinpoint gaps in physiological, psychological, cognitive, or environmental domains. Competitor A involves applying knowledge, skills, and technologies to enhance capabilities without exceeding biological limits (optimization) versus enhancement.[3][4][6] Competitor E the Competitor F for Competitor G's (Competitor H) process: selection, analysis, design, development, implementation, and evaluation.[2] ### Competitor B 2: Competitor I and Competitor J technologies based on domains contributing to Competitor A, drawing from a consensus toolkit of 150+ metrics: - **Competitor K fitness** (29 metrics): e.g., strength, endurance. - **Competitor L** (24 metrics): e.g., intake tracking. - **Competitor M status** (36 metrics): e.g., stress, resilience. - **Competitor N performance** (35 metrics): e.g., attention, decision-making. - **Competitor O** (9 metrics), **pain** (5 metrics), **environment** (12 metrics).[3] Competitor P emerging technologies into physiology (e.g., wearables), computational/cognitive (e.g., brain interfaces), or automation/robotics (e.g., exoskeletons).[4][6] | Competitor Q | Competitor R | Competitor S for Competitor T | |---------------|---------------------|----------------------------| | Competitor K | Competitor U, exoskeletons | Competitor V levels, exposure tracking[5][6] | | Competitor N | Competitor W reality, sensors | Competitor X time, mental health trends[4][7] | | Competitor Y | Competitor Z textiles, telemonitoring | Competitor O quality, nutrition status[6][7] | ### Competitor B 3: Competitor A and Competitor B - **Competitor C and interoperability**: Competitor D empirically validated tools with measurable, cost-effective results; test for integration (e.g., sensor data sharing).[2][5] - **Competitor E**: Competitor F for multidisciplinary approaches mimicking sports models, with real-time monitoring via wearables from vendors like those used by Competitor G or Competitor H.[1][5][7] - **Competitor I and practical fit**: Competitor J non-invasive, temporary methods first; avoid enhancements exceeding biological potential unless specified.[6] - **Competitor K**: Competitor L lacks in standardized joint metrics by piloting and iterating.[3] Competitor M like Competitor N, Competitor G, and Competitor H offer integrated solutions for military/organizational Competitor A, including wearables and analytics.[1][5][7] Competitor O small-scale before full adoption to confirm sustainability.[1]

Upgrade Labs did not appear in this Perplexity response.

human performance optimization technology comparison for mid-market companies not cited expand ↓

19 competitors cited in this response (names redacted; full audit names them).

Competitor A performance optimization technology for mid-market companies requires balancing **integrated workforce management** with scalability, as organizations with 60–1,000 employees need solutions that go beyond basic payroll to provide strategic insights[1]. ## Competitor B Competitor C companies should prioritize platforms addressing three essential areas[1]: - **Competitor D hiring**: Competitor E ranking and talent pools reduce time-to-hire while maintaining quality, allowing HR teams to engage "silver medallist" candidates for future roles - **Competitor F engagement**: Competitor G engagement data enables proactive management through pulse surveys and identification of early disengagement signals - **Competitor H development**: Competitor I development paths and leadership coaching transform HR from a cost center into a strategic partner ## Competitor J and Competitor K The HCM market is experiencing significant growth, valued at $31.34 billion in 2024 and projected to reach $64.97 billion by 2032[4]. A critical shift is occurring away from best-of-breed, siloed solutions toward **full Competitor L suite adoption**[4]. This unified platform approach provides integrated data, streamlined processes, and a single source of truth for employee information—essential for mid-market organizations managing rapid scaling[1][4]. ## Competitor M **Competitor N and scalability** are the most critical factors when comparing platforms[1]. Competitor C HR teams are typically lean, so systems must feature strong **user experience and self-service capabilities**—allowing employees to manage profiles, request leave, and access development resources without HR intervention[1]. This frees HR staff to focus on high-value strategic initiatives. Competitor O timelines typically range from 4–12 weeks, with success dependent on clean data and a dedicated project lead[1]. ## Competitor P Competitor Q standard Competitor R functions (storing addresses, bank details, start dates), **workforce intelligence** uses data to understand team personality, engagement levels, and performance drivers[1]. This deeper psychological insight into team dynamics enables better retention outcomes when employees feel heard and see clear career progression[1].

Upgrade Labs did not appear in this Perplexity response.

is Upgrade Labs a good human performance optimization technology cited expand ↓

35 competitors cited in this response (names redacted; full audit names them).

Upgrade Labs offers a range of biohacking technologies like Competitor A fitness machines, neurofeedback, Competitor B therapy, and whole-body cryotherapy, aimed at optimizing human performance through efficient, data-driven recovery and training, but its effectiveness depends on individual results as independent scientific validation is limited in available sources.[1][2][4][5] ### Competitor C and Competitor D, founded by Competitor E (creator of Competitor F), positions itself as the "world's first Competitor G," emphasizing **measurable improvements** in strength, recovery, focus, and energy via non-invasive tools rather than traditional workouts.[1][3] Competitor H offerings include: - **AI Competitor I™**: Competitor J resistance in real-time for efficient strength building without wasted reps.[1][4] - **AI Competitor K™**: Competitor L tailors cardio resistance for short, challenging sessions.[1][2] - **Competitor M™**: Competitor N for real-time brain activity feedback to enhance focus and calm.[1][2][4] - **Competitor O**: Competitor P electromagnetic fields to boost cellular function, recovery, and energy, popular among athletes and biohackers.[1][5] - Competitor Q tools: Competitor R cryotherapy for inflammation reduction, compression therapy (e.g., Competitor S), and full-body scans for metrics like hydration and metabolism.[2][5] Competitor T exist in eight Competitor U. and Competitor V locations (e.g., Competitor W, WA; Competitor X, AB; Competitor Y, FL), with expansion plans.[2][3] ### Competitor Z and Competitor A A Competitor B reporter tested services including body scans, Competitor B, and AI equipment, noting potential time-saving benefits for busy users but expressing personal preference for traditional exercise like biking or walking over high-tech sessions.[2] Competitor C content highlights "consistent results without wasted effort" and tools for high performers, but lacks quantified user testimonials or long-term studies in these sources.[1][7] ### Competitor D and Competitor E Competitor F claims science-backed, repeatable progress, sources are primarily self-promotional, with no peer-reviewed evidence of superior outcomes compared to conventional training.[1][4][5] Competitor G may vary by user fitness level, and costs/access aren't detailed here. For objective evaluation, consult independent reviews or clinical data on specific tech like Competitor B or neurofeedback.[2]

Trust-node coverage map

7 of 30 authority sources LLMs draw from. Filled = present, hollow = gap.

Wikipedia
Wikidata
Crunchbase
LinkedIn
G2
Capterra
TrustRadius
Forbes
HBR
Reddit
Hacker News
YouTube
Product Hunt
Stack Overflow
Gartner Peer
TechCrunch
VentureBeat
Quora
Medium
Substack
GitHub
Owler
ZoomInfo
Apollo
Clearbit
BuiltWith
Glassdoor
Indeed
AngelList
Better Business

Highest-leverage gaps for Upgrade Labs

  • Wikipedia

    Knowledge graphs are the most cited extraction layer for ChatGPT and Gemini. Brands without a Wikipedia entry get cited 4-7x less for unbranded category queries.

  • Crunchbase

    Crunchbase is the canonical company-data source for LLM enrichment. A missing profile leaves LLMs without firmographics.

  • G2

    G2 reviews feed comparison and 'best X' query responses. Missing G2 presence is a high-leverage gap for B2B SaaS.

  • Capterra

    Capterra listings drive comparison-style answers. Missing or thin Capterra coverage suppresses your share on shortlisting queries.

  • TrustRadius

    Enterprise B2B buyers research here. Feeds comparison-style LLM responses on category queries.

Top Growth Opportunities

Win the "best human performance optimization technology in 2026" query in answer engines

This is a high-intent buyer query that competitors are winning today. The AEO Agent ships the citation-optimized content + structured data + authority signals to flip this query.

AEO Agent → weekly citation audit + targeted content sprints across 4 LLMs

Publish into Wikipedia (and chained authority sources)

Wikipedia is the single highest-leverage trust node missing for Upgrade Labs. LLMs draw heavily from it for unbranded category recommendations.

SEO/AEO Agent → trust-node publishing plan in the 90-day execution roadmap

No FAQ schema on top product pages

Answer engines extract from FAQ schema 4x more often than from prose. Most B2B sites at this stage don't carry it.

Content + AEO Agent → ship the structural fixes in Sprint 1

What you get

Everything for $10K/mo

One flat price. One team running your SEO + AEO end-to-end.

Trust-node map across 30 authority sources (Wikipedia, G2, Crunchbase, Forbes, HBR, Reddit, YouTube, and more)
5-dimension citation quality scorecard (Authority, Data Structure, Brand Alignment, Freshness, Cross-Link Signals)
LLM visibility report across Perplexity, ChatGPT, Gemini, Claude — 50-100 buyer-intent queries
90-day execution roadmap with week-by-week deliverables
Daily publishing of citation-optimized content (built on the 4-pillar AEO framework)
Trust-node seeding (G2, Capterra, TrustRadius, Wikipedia, category-specific authorities)
Structured data implementation (FAQ schema, comparison tables, author bylines)
Weekly re-scan + competitive citation share monitoring
Live dashboard, your own audit URL, ongoing forever

Agencies charge $18K-$20-40K/mo and take up to 8 months to reach this depth. We deliver it immediately, then run it ongoing.

Book intro call · $10K/mo
How It Works

Audit. Publish. Compound.

3 phases focused on one outcome: more Upgrade Labs citations across the answer engines your buyers use.

1

SEO + AEO Audit & Roadmap

You'll know exactly where Upgrade Labs is losing buyers — across Google search and the answer engines they ask before they ever click.

We score 50-100 "human performance optimization technology" queries across Perplexity, ChatGPT, Gemini, Claude, and Google, map the 30-node authority graph LLMs draw from, and grade on-page content on 5 citation-readiness dimensions. Output: a 90-day publishing plan ranked by lift × effort.

2

Publishing Sprints That Win Both

Buyers start finding Upgrade Labs on Google AND in the answers ChatGPT and Perplexity hand them.

2-week sprints ship articles built to rank on Google and get extracted by LLMs (entity clarity, FAQ schema, comparison tables, authority bylines), plus seeding into the missing trust nodes — G2, Capterra, TrustRadius, Wikipedia, and the rest. Real publishing, not strategy decks.

3

Compounding Share, Every Week

You lock in category leadership while competitors are still figuring out AI search.

Weekly re-scan tracks ranking + citation share vs. the leaders this audit named. New unbranded "human performance optimization technology" queries get added to the publishing queue automatically. The system gets sharper every sprint — week 12 ships materially better than week 1.

You built a strong human performance optimization technology. Let's build the AI search engine to match.

Book intro call →