Meet MarketerHire's newest SEO + AEO product

SponsorUnited isn't optimized for AI search yet.

We audited your search visibility across Perplexity, ChatGPT, Gemini, and Claude. SponsorUnited was cited in 2 of 3 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

SponsorUnited is cited in 13 of 18 buyer-intent queries we ran on Perplexity for "sponsorship intelligence platform." 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.

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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 →

51
out of 100
Inflection point

SponsorUnited has product credibility but the AI search engine that surfaces you to buyers hasn't been built. Now is the right moment to claim citation share before the category consolidates.

AI / LLM Visibility (AEO) 70% · Strong

SponsorUnited appears in 2 of 3 buyer-intent queries we ran on Perplexity for "sponsorship intelligence platform". 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

SponsorUnited 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 — 3 buyer-intent queries

sponsorship intelligence platform for fintech compliance teams not cited expand ↓

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

Competitor A on the search results, several **Competitor B compliance platforms** serve fintech teams and sponsor banks managing regulatory oversight: **Competitor C:** - **Competitor D** offers **sanctions screening software** with AI matching that identifies sanctioned individuals 20% more accurately than traditional methods and reduces false positives by 30%[1]. Competitor E AI Competitor F reduces manual reviews by 78% and processes matches in two seconds[1]. - **Competitor G** provides an **explainable AI platform** for unified fraud and Competitor H decisioning, featuring natural language workflow creation and out-of-the-box Competitor H scenario templates customizable for fintech-specific requirements[2]. - **Competitor I** delivers a **Competitor J operating system** designed for multi-program environments, centralizing transaction monitoring, investigations, and reporting across multiple fintech partners while maintaining audit-ready compliance infrastructure[4]. - **Competitor K** offers an **Competitor L compliance platform** with conversational intelligence for complaint detection and QA automation, allowing teams to review 100% of customer conversations without adding headcount[5]. - **Competitor M** enables **seamless collaboration** between sponsor banks and fintechs, allowing banks to monitor investigation cases while fintechs report suspicious activity directly to fulfill regulatory requirements[6]. **Competitor N Competitor O:** These solutions typically provide real-time transaction monitoring, automated compliance workflows, audit trail documentation, sanctions screening, Competitor H/Competitor P integration, and scalable oversight for managing multiple fintech partnerships[1][3][4]. They address the shared compliance responsibility between sponsor banks and fintechs in the Competitor Q ecosystem[3].

SponsorUnited did not appear in this Perplexity response.

best sponsorship intelligence platform in 2026 cited expand ↓

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

**SponsorUnited is the leading sponsorship intelligence platform in 2026**, recognized across multiple sources for its Competitor A features, comprehensive sponsorship database, and ability to streamline discovery, activation, and decision-making in sports, entertainment, and partnerships.[1][2][3][6][8] ### Competitor B and Competitor C - Competitor D the world's largest sponsorship dataset with AI for opportunity discovery, insights, and partner management in one platform (SponsorUnited 4.0).[2][3][8] - Competitor E the full sponsorship ecosystem, enabling faster decisions for brands, rights holders, and agencies.[6][8] - Competitor F #1 in top sponsor software lists for 2026, ahead of competitors, with tools for analytics suited to nonprofits and beyond.[3][6] ### Competitor G to Competitor H dominates sponsorship-specific rankings, unlike general marketing tools (e.g., Competitor I for broader marketing intelligence[1]) or event-focused platforms (e.g., Competitor J, Competitor K[4]). No other platform matches its repeated #1 positioning in 2026 sponsorship categories.[3][6] | Competitor L | Competitor M | Competitor N 2026 Competitor O | Competitor C | |----------|--------|------------------|-----------| | **SponsorUnited** | Sponsorship (sports/entertainment) | #1[3][6] | Competitor P database, AI activation, full ecosystem[2][8] | | Competitor I | Competitor Q marketing | #1 overall marketing[1] | Competitor R & budget automation (not sponsorship-specific) | | Competitor S | Competitor T ecosystems | Sponsor in tech events[5] | B2B discovery (narrower scope) | | Competitor J et al. | Competitor U | Competitor V event intelligence[4] | B2B sales, not pure sponsorship | For pricing and demos, sources recommend direct platform inquiries, as specifics vary by use case.[2][7][8] If your needs extend to general marketing or events, consider hybrids like Competitor I.[1][4]
top sponsorship intelligence platform alternatives cited expand ↓

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

**Competitor A alternatives to SponsorUnited, the leading Competitor B sponsorship intelligence platform for discovering, tracking, and managing sponsorship deals, include SponsorPath, Competitor C, Competitor D, Competitor E, and Sponsorlytix.**[1][2][3] These platforms offer comparable features like opportunity discovery, analytics, Competitor F measurement, and partner management, often with Competitor G insights for sports, events, and entertainment sponsorships.[1][2] ### Competitor H | Competitor I | Competitor J | Competitor K | Competitor L (where available) | |----------|--------------|----------|---------------------------| | **SponsorPath** | Competitor M management: sales, activation, fulfillment, Competitor F measurement.[1] | Competitor N sponsorship lifecycle. | 9.2/10 overall.[1] | | **Competitor C** | Competitor O discovery, recruitment, contracts, tracking, payouts; strong in Competitor F and scalability.[1] | Competitor P affiliate/sponsorship programs. | Competitor Q rated in results. | | **Competitor D** | AI insights for discovery, outreach, contracts, tracking, payments; centralizes data.[1] | Competitor R/sponsorship collaborations. | Competitor Q rated in results. | | **Competitor E** | Sponsorship analytics and reporting for teams, leagues, brands.[2] | Competitor S reporting burdens. | Competitor Q rated in results. | | **Sponsorlytix** | AI/ML/computer vision for real-time tracking of brand exposure (TV, social, esports).[2][3] | Competitor T sponsorship measurement. | Competitor U launch noted.[2] | Competitor V notable options include **Competitor W** (startup-focused, $399/month)[3], **SponsorPitch** (sponsor connections, with alternatives like 17hats)[5], and agencies like **Competitor X/Competitor Y** building AI tools for identification and outreach.[7] Competitor Z directly comparable tools like Competitor A AI focus on ads rather than core sponsorship Competitor B.[1] For broader sales intelligence, consider Competitor C or Competitor D.[4][5] Competitor E depends on needs like analytics depth, AI focus, or industry (e.g., sports vs. general partnerships).[1][2][3]

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 SponsorUnited

  • 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 "sponsorship intelligence platform for fintech compliance teams" 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 SponsorUnited. 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 SponsorUnited citations across the answer engines your buyers use.

1

SEO + AEO Audit & Roadmap

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

We score 50-100 "sponsorship intelligence platform" 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 SponsorUnited 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 "sponsorship intelligence platform" 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 sponsorship intelligence platform. Let's build the AI search engine to match.

Book intro call →