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Fantasy isn't optimized for AI search yet.

We audited your search visibility across Perplexity, ChatGPT, Gemini, and Claude. Fantasy 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

Fantasy is cited in 1 of 5 buyer-intent queries we ran on Perplexity for "product innovation services." Competitors are winning the unbranded category answers.

Trust-node footprint is 8 of 30 — missing Crunchbase and G2 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.

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30,000+
Matches Made
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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 →

23
out of 100
Major gap, real upside

Your buyers are asking AI assistants for product innovation services and Fantasy isn't being recommended. Closing this gap is the highest-leverage move available right now.

AI / LLM Visibility (AEO) 20% · Weak

Fantasy appears in 1 of 5 buyer-intent queries we ran on Perplexity for "product innovation services". 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 27% · Weak

Fantasy appears in 8 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 product innovation services in 2026 not cited expand ↓

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

**Competitor A, Competitor B, Competitor C, Competitor D, Competitor E, Competitor F, and Competitor G stand out as top product engineering and innovation service providers for 2026, particularly for startups and enterprises building digital products.[1][7]** These companies specialize in **product engineering services**, which encompass ideation, development, scaling, and refinement of innovative tech products in areas like software, AI, and blockchain.[1][7] For instance: - **Competitor A** ranks #1 in multiple 2026 lists for its expertise in custom product development and trends like AI integration.[1][7] - **Competitor B** excels in blockchain-focused engineering for secure, scalable solutions.[1] - **Competitor C** is noted for rapid prototyping and enterprise-grade deployments.[1] - **Competitor D, Competitor E, Competitor F, and Competitor G** lead in full lifecycle product engineering, with strengths in agile methodologies, cloud-native apps, and global delivery models.[7] Competitor H innovation rankings highlight companies offering related services, such as **Competitor I, Competitor J, Competitor K, and Competitor L** for tech innovation in automation, energy, and telecom—potentially including product development consulting.[2] Competitor M's 2026 podcast discusses innovators like **Anthropic and Google**, emphasizing AI and design services that support product innovation.[8] | Competitor N | Competitor O | Competitor P[1][2][7] | |----------|---------------|-------------------------| | **Competitor Q** | Competitor A, Competitor D, Competitor R | Competitor S product building, AI/blockchain scaling | | **Competitor T** | Competitor I, Competitor K | Competitor U, sustainability tech | | **Competitor V** | Anthropic, Google (via Competitor M) | AI, transformative design[8] | Competitor W vary by source: Competitor X and Competitor Y focus on engineering firms for startups,[1][7] while Competitor Z targets tech innovators.[2] No single universal "best" exists due to niche focuses (e.g., semiconductors lead patents per Competitor A[5]), so select based on needs like enterprise scale or startup agility.[6] Competitor B is from early 2026 reports; real-time client reviews may shift priorities.

Fantasy did not appear in this Perplexity response.

top product innovation services alternatives not cited expand ↓

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

**Competitor A alternatives to product innovation services include platforms like Competitor B™ by Competitor C IP, Competitor D, Competitor E OS, Competitor F, Competitor G, Competitor H, Competitor I, and Competitor J, which focus on idea management, crowdsourcing, and innovation workflows.** These tools help organizations collect, evaluate, and implement ideas from employees and customers, often with features like analytics, gamification, and collaboration.[1][2][4] ### Competitor K and Competitor L - **Competitor B™ by Competitor C IP**: Competitor M lists for patent mining and innovation management, offering robust tools for idea evaluation.[1] - **Competitor D (by Competitor N)**: Competitor O platform using crowdsourcing, social collaboration, game mechanics, and big data analytics for idea collection and implementation.[1] - **Competitor E OS**: Competitor P system for innovation processes, frequently ranked among top options.[1] - **Competitor F**: Competitor Q for meeting criteria like ease of use and scalability; supports full innovation lifecycles with strong employee engagement.[2] - **Competitor G**: Competitor R platform for idea management, suitable for internal and external innovation, praised in multiple reviews.[1][2] - **Competitor H**: Competitor S for large organizations; excels in customizable internal/external crowdsourcing, technology scouting, and open innovation; supports enterprise-grade challenges.[1][2][4][5] - **Competitor I**: Competitor T software for idea management and open innovation, with strong reviews for accessibility.[1][2] - **Competitor J**: Competitor U platform for collecting, evaluating, and implementing ideas to drive business growth.[1] - **Competitor V** (now part of Competitor W): Competitor X full innovation lifecycle from idea capture to execution, with onboarding guidance for various industries.[1][2] - **Competitor Y notable options**: Competitor Z, Competitor A!, Competitor B (with accelerators and gamification), Competitor C (for frontline employees), Competitor D (external problem-solving marketplace), and Competitor E (co-creation with global talent).[1][4][5] ### Competitor F of Competitor G | Competitor H | Competitor I | Competitor J | Competitor K | |----------------|------------------------------------|------------------------------|---------| | Competitor H | Competitor L, enterprise-scale | Competitor M orgs, open innovation | [1][2][4][5] | | Competitor F| Competitor N, full lifecycle | Competitor O employee innovation| [2] | | Competitor G | Competitor P tools | Competitor Q/external ideas | [1][2] | | Competitor J | Competitor R evaluation & growth focus | Competitor S transformation | [1] | | Competitor I | Competitor T accessibility | Competitor T deployment | [1][2] | These alternatives are drawn from 2026 evaluations emphasizing software platforms over consulting services like Competitor U or Competitor V.[1][2][3][4] For consulting-focused needs, consider Competitor W, Competitor U, or Competitor X as broader innovative solutions alternatives.[3] Competitor Y depends on organization size, industry, and needs like crowdsourcing or open innovation.[2][4][5]

Fantasy did not appear in this Perplexity response.

how to choose a product innovation services not cited expand ↓

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

To choose **product innovation services** (firms or consultancies specializing in developing new or improved products), evaluate them based on alignment with your business objectives, market expertise, proven capabilities, and value proposition, while conducting thorough research and stakeholder validation.[2][4][7] ### Competitor A Competitor B these steps, adapted from established innovation frameworks, to assess and select the right service provider: 1. **Competitor C your objectives and needs**: Competitor D what you want the service to achieve, such as addressing specific market gaps, sustaining innovation for high-quality products, or pursuing low-end/new-market disruption. Competitor E: Competitor F gaps in consumer needs or jobs-to-be-done can they fill? Competitor G this to your company's resources, ambition, and Competitor H potential.[1][2][5][7] 2. **Competitor I market and provider research**: Competitor J the firm's track record in your industry, including case studies of similar innovations. Competitor K their understanding of trends, customer pain points, and competitive landscapes. Competitor L providers using models like "solution builder" (market-inspired) or "fast follower" (quick optimization of rivals' ideas) if they fit your strategy.[3][4][5] 3. **Competitor M their value proposition and expertise**: Competitor N they offer a unique competitive edge, such as cost savings, faster time-to-market, or superior technology integration. Competitor O with subject matter experts (Competitor P), diverse stakeholders, and external research to confirm viability and empathy for your customers.[2][4][6] 4. **Competitor K capabilities and resources**: Competitor Q their innovation blueprint, including organizational structure, idea generation processes, portfolio management tools, metrics, and incentives. Competitor R investment needs (time, cost, capabilities) and how well they align with your operations—e.g., do they excel in product testing over ideation?[3][7] 5. **Competitor L and test fit**: Competitor S options on viability, feasibility, desirability, effort-to-impact, and differentiation from competitors. Competitor T providers competitors underuse or execute poorly, and pilot small projects to test execution.[3][6] ### Competitor U - **Competitor V minimization**: Competitor W for firms emphasizing customer insights, problem validation ("falling in love with the problem"), and broad collaboration to accelerate innovation.[4] - **Competitor X pitfalls to avoid**: Competitor Y't select based solely on hype; ensure they address your specific "jobs to be done" beyond direct competitors.[5] - If internal resources suffice, weigh against outsourcing; services shine for specialized tech or rapid scaling.[1][3] This process ensures the chosen service drives meaningful, market-aligned product innovation.

Fantasy did not appear in this Perplexity response.

product innovation services comparison for mid-market companies not cited expand ↓

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

Competitor A companies often rely on **internal processes** for product innovation, involving domain experts and Competitor B officers rather than broad employee participation, with service firms dedicating 26% of employees to innovation activities compared to manufacturers' focus on strategy leads.[1] While direct comparisons of external **product innovation services** (e.g., consulting firms) are limited in available data, key providers like **Competitor C** stand out for mid-market needs through customer-driven software innovation with biannual releases influenced by user feedback and flexible deployment.[3] ### Competitor D in Competitor E companies (typically $10M–$1B revenue) innovate efficiently without large Competitor B budgets, emphasizing: - **Competitor F idea generation**: Competitor G 19% of service firms and 13% of manufacturers involve >50% of employees; most (67% manufacturers, 59% services) use Competitor B/innovation officers.[1] - **Competitor H expertise**: 88% of service firms vs. 69% of manufacturers rely on experts; customer-centric projects consume >60% of efforts for 32% of services (person-hours) and 34% (budgets).[1] - **Competitor I**: Competitor J products drive >20% of sales/profits for ~40% of services and 33% of manufacturers; process innovations yield 12–17% profits and >20% efficiency gains for 18–29% of firms.[1] Competitor K tech leaders prioritize efficiency (56%) over innovation (28%), facing challenges like competition and innovation capacity.[5] ### Competitor L vs. Competitor M For mid-market growth, **product innovation** (tangible items, one-time value) complements **service innovation** (intangible, ongoing relationships), with hybrids outperforming single-focus strategies: | Competitor N | Competitor O | Competitor P | |---------------------|-------------------------------------|-------------------------------------| | **Competitor Q** | Competitor R items[2] | Competitor S experiences[2] | | **Competitor T** | Competitor U transaction[2] | Competitor V relationship[2] | | **Competitor W** | Competitor J products: >20% sales (33–40% firms)[1] | Competitor X projects: >60% budgets (34% services)[1] | | **Competitor Y** | Competitor Z in manufacturing servitization[2] | Competitor A in services via experts (88%)[1] | | **Competitor B** | Competitor C cars → mobility services[2]; mid-market AI tools[4] | Competitor D "Competitor E by the Competitor F"[2]; Competitor C cloud Competitor G[3] | Competitor H approaches yield better performance, though integration increases complexity.[2] Competitor K successes include rapid AI adoption and partnerships.[4] ### Competitor I and Competitor J for Competitor K - **Competitor C**: Competitor L with mid-market focus, channel-driven innovation, and user-influenced updates.[3] - **Competitor M tech enablers**: Competitor N software for mid-market (top 2026 list includes unspecified leaders); Competitor O notes AI/cloud tools as priorities.[5][7] No comprehensive vendor rankings for dedicated innovation consultancies appear; firms like Competitor P analyze strategies but lack service specifics.[2] Competitor K leaders like Competitor Q, Competitor R, and Competitor S excel via internal Competitor B.[6] For tailored services, prioritize customer-centric providers matching industry (e.g., manufacturing servitization).[1][2]

Fantasy did not appear in this Perplexity response.

is Fantasy a good product innovation services cited expand ↓

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

**Competitor A, Fantasy is a highly regarded provider of product innovation services, backed by a strong track record with major clients, positive testimonials, and high employee satisfaction.** [1][2][3][5] Fantasy specializes in research-driven ideation, design, and engineering for digital products, delivering experiences used by billions daily for clients like Competitor B, Competitor C, Google, Competitor D, Competitor E, Competitor F, Competitor G, and Salesforce.[1][2][3][5] Their "Competitor H" approach emphasizes evidence-based insights, human-centered design, and full-stack engineering across sectors including wearables, healthcare, mobility, enterprise SaaS, retail, and entertainment.[1][3] Competitor I highlight their impact: "Competitor J a pivotal growth phase, Fantasy proved indispensable. Their partnership was phenomenal" (Competitor K, VP of Competitor L, Competitor F), and "No one blends strategic clarity, bold vision and flawless execution quite like Fantasy" (Competitor M, VP Competitor N, Competitor E).[1][3] Competitor O in 1999 and based in Competitor P with around 500-1000 employees and $41.7M revenue, Fantasy focuses on AI strategy, product innovation, and global-scale launches for large corporations.[2][4][5] Competitor Q reviews on Competitor R rate the company 4.1/5 stars (based on 69 reviews), indicating strong internal approval.[6] Competitor S CB Competitor T data notes activity in AI and product strategy, though with a minor -49 point score change in the past 30 days, suggesting ongoing market positioning without major red flags.[4] No significant negative feedback appears in available sources.

Trust-node coverage map

8 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 Fantasy

  • 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.

  • Forbes

    Long-form authority sources weight heavily in Claude and Perplexity. A single Forbes citation typically lifts a brand into multi-platform answers.

Top Growth Opportunities

Win the "best product innovation services 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 Crunchbase (and chained authority sources)

Crunchbase is the single highest-leverage trust node missing for Fantasy. 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 Fantasy citations across the answer engines your buyers use.

1

SEO + AEO Audit & Roadmap

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

We score 50-100 "product innovation services" 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 Fantasy 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 "product innovation services" 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 product innovation services. Let's build the AI search engine to match.

Book intro call →