The catalog has covered AIO methodology for five vertical patterns: D2C (Day 40), B2B SaaS (Day 41), Fintech (Day 42), Healthcare (Day 43), and B2B Services (Day 44). One major vertical pattern remained uncovered through Day 52: marketplaces and two-sided platforms.

Marketplaces face a structurally unique AIO challenge that none of the prior five verticals share. They have two distinct customer audiences — supply-side participants (sellers, providers, hosts, vendors, contractors) and demand-side participants (buyers, guests, customers, clients) — with materially different acquisition dynamics, different content needs, different AI surface relevance, and different authority signal requirements. Standard AIO playbooks assume single-audience optimization. Marketplaces need parallel AIO programs running simultaneously for both sides.

This is Case Study #07 in the monthly cadence. The engagement subject is a B2B logistics marketplace facing declining acquisition on both sides of the platform. The structural details are anonymized but the operational dynamics and outcomes are typical of two-sided marketplace AIO rebuilds Praxxii has run across logistics, professional services, B2B trading, and SaaS marketplace verticals.

The marketplace at intake (February 2026)

A Singapore-headquartered B2B logistics marketplace connecting freight forwarders and shippers across Asia-Pacific markets. 450 active supplier accounts (freight forwarders) servicing 2,800 monthly active buyer accounts (shippers ranging from SMB exporters to mid-market manufacturers). $48M annual GMV split across 14,000+ shipments per month. Founded 2019, profitable since 2023, growing 35-40% YoY through 2024-2025 but seeing acquisition growth decelerate sharply in Q4 2025.

The marketplace's acquisition pattern at intake:

Supply-side new activation: 18-24 freight forwarder onboardings per month, down from 28-35/month in early 2025

Demand-side new conversion: 240-310 new buyer accounts per month, down from 380-450/month in early 2025

AI-mediated discovery (across both sides): less than 3% of new acquisition, despite the AI search trend being well-documented in their category

The deceleration pattern was visible across both sides simultaneously but the team had been treating each side as separate acquisition problem with separate fixes. The marketing team owned demand-side acquisition. The supply-success team owned supply-side onboarding. Neither team was running explicit AIO programs.

Three structural pain points surfaced during the intake diagnostic:

1. Single-audience AIO assumption breaking down. The marketing team had started running an AEO/AIO program in Q3 2025 focused on demand-side queries ("best freight forwarder Vietnam to US," "international shipping platform comparison"). Citation share improved on these queries but supply-side acquisition continued declining. The team didn't realize freight forwarders were running their own AI search ("best marketplace to list freight services," "freight forwarder marketplace comparison Singapore") that the demand-side AIO program wasn't addressing. Both sides needed separate AI search visibility programs.

2. Authority signal asymmetry across audiences. Supply-side participants (freight forwarders) evaluate marketplaces partly through industry-specific authority signals: presence on FIATA member directories, IATA agent listings, industry-specific publications like American Shipper or Lloyd's Loading List, trade association affiliations. Demand-side participants (shippers) evaluate the same marketplace through completely different authority signals: G2 reviews, Capterra ratings, Forbes Council coverage, customer case studies. The marketplace had built moderate authority on demand-side signals but virtually nothing on supply-side signals. AI engines triangulating supply-side queries weren't finding authority anchors.

3. Content architecture mismatched to both audiences. The marketplace's content portfolio (about 180 pages at intake) was overwhelmingly demand-side oriented — guides for shippers, comparison content for shipping decisions, freight cost calculators. Supply-side content (guides for freight forwarders, marketplace onboarding documentation, supplier success stories) totaled fewer than 20 pages. The architecture assumed AI engines would surface the demand-side content to both audiences. They didn't — AI engines correctly recognized that supply-side queries needed supply-side content, and the marketplace's supply-side content was thin.

The 90-day two-sided AIO rebuild

The Praxxii engagement structured the rebuild around explicit two-sided AIO architecture. Three parallel workstreams running simultaneously:

Workstream A: Supply-side AIO program — entirely new. Audit + content rebuild + authority program + measurement deployment focused on freight forwarder discovery queries.

Workstream B: Demand-side AIO program extension — building on the existing 2025 work. Expanded query universe + AI Mode optimization (per Day 52's framing) + cross-surface measurement + sub-surface 1A/1B differentiation.

Workstream C: Cross-audience entity hygiene — Zone 2 of Day 38's AIO Audit Methodology applied to ensure the marketplace's brand entity surfaced consistently across both audience contexts. Same brand description, same product positioning, same customer references — but with audience-specific authority signals appropriately surfaced for each audience.

Days 1-14: Audit + measurement deployment for both sides

Praxxii ran Day 38's 32-check AIO audit on both audiences in parallel. Zone scores at intake:

Supply-side: Zone 1 (measurement) 1/6, Zone 2 (entity) 3/7, Zone 3 (content) 1/7, Zone 4 (authority) 2/6, Zone 5 (technical) 4/6

Demand-side: Zone 1 (measurement) 3/6, Zone 2 (entity) 4/7, Zone 3 (content) 4/7, Zone 4 (authority) 3/6, Zone 5 (technical) 4/6

Both audiences scored below threshold on most zones. Supply-side scored worse across the board, reflecting the under-invested supply-side AIO program. The 14-day measurement deployment installed multi-surface tracking for both audiences across Surfaces 1-5 of Day 37's AIO framework, with parallel pipelines so supply and demand metrics didn't co-mingle.

Days 15-42: Content architecture rebuild — both sides simultaneously

Supply-side content build (the larger gap): 18 new pages targeting freight-forwarder discovery queries. "How to list your freight forwarding services on B2B logistics marketplaces in 2026" (anchor page, 2,400 words). "Marketplace vs direct-sales comparison for freight forwarders" (1,800 words). "Best marketplace platforms for Asia-Pacific freight forwarders" (1,600 words). "Pricing models for marketplace freight services" (1,400 words). Plus 14 supplier success stories with named freight forwarders sharing operational outcomes.

Demand-side content extension: 12 new pages plus restructuring of 35 existing pages for AI Mode optimization per Day 52's six shifts. Conversation-flow architecture linking "best shipping platforms" → "freight forwarder selection criteria" → "international shipping cost factors" → "shipping marketplace comparison." Long-form depth (1,500+ words minimum).

Original analysis with proprietary marketplace data (anonymized shipment volumes, average transit times, regional pricing variations) that no public source had.

Days 28-56: Authority program — building supply-side authority from near-zero

Supply-side authority moves (the larger gap):

Industry directory inclusions: FIATA member directory, IATA agent listings (where applicable), regional logistics association memberships. Marketplace listed itself as both a member directory itself AND surfaced its supplier members as industry-verified.

Industry publication earned media: 4 placements in American Shipper, Lloyd's Loading List, JOC (Journal of Commerce), Air Cargo News through Q1-Q2 2026. Focus on data-driven content (proprietary marketplace data on regional freight trends) rather than promotional content.

Conference + speaking program: Marketplace executives speaking at TPM (Trans-Pacific Maritime Conference), Air Cargo Forum, and regional logistics events. Authority signals surfaced on website with conference content and named executive bios.

Supply-side review platforms: Profile claims and active management on supplier-specific review platforms (FreightWaves Ratings, ShipperVoice, regional equivalents).

Demand-side authority extension: G2 + Capterra rating program (response cadence, feature request engagement, regular review solicitation). Forbes Council membership for senior leadership. Customer case studies with named buyer brands (with consent) demonstrating ROI outcomes. Existing demand-side authority was decent at intake; the program extended depth rather than building from scratch.

Days 35-77: Entity hygiene + cross-audience consistency

Wikipedia entry created (none existed at intake despite the marketplace's profitability and scale). MarketplaceOrganization schema deployed with audience-specific properties (supplyType, supplyAudience, demandAudience). Google Knowledge Panel claimed with consistent description across both audience contexts. Cross-surface entity audit reconciled brand descriptions across G2, Capterra, LinkedIn, AngelList, Crunchbase, regional industry directories, and FIATA — same canonical positioning surfaced consistently across both audience visibility surfaces.

Critical insight from the entity work: the marketplace had inconsistent positioning across surfaces depending on which audience the surface served. G2 described the marketplace as "B2B shipping platform" (demand-side framing). FIATA listing described it as "freight forwarder enablement platform" (supply-side framing). Wikipedia entry (newly created) needed to handle both framings coherently rather than picking one. The resolved positioning: "B2B logistics marketplace connecting freight forwarders and shippers across Asia-Pacific" — anchoring both audiences without privileging either.

Days 56-90: AI Mode optimization + measurement validation

Final 30 days focused on Day 52's AI Mode shifts applied to both audience content. Conversation-flow architecture connecting supply-side topics into multi-turn AI Mode session paths. Named-expert authorship retrofit on all educational content (marketplace executives + named industry experts brought in for guest authoring). Conversation-aware measurement sampling protocol established (20 conversation flows for supply-side, 20 for demand-side, sampled quarterly).

By Day 90, both AIO programs were running independently with parallel measurement dashboards. Cross-audience entity consistency validated. Authority programs operationalized as ongoing rather than one-time projects.

The outcomes at Day 90

Supply-side metrics:

  • AI-attributed supply-side new activation: from 0.4 freight forwarder onboardings per month at intake to 8.2 per month at Day 90. That's ~+47% of total supply-side activation now AI-attributed.

  • Supply-side AI search citation share: from below 4% at intake to 31% at Day 90 across the supply-side query universe

  • Supply-side Productivity AI citation: from zero baseline (untracked) to documented citations in Microsoft Copilot and Slack AI for industry searches by procurement teams at potential supplier companies

  • Cost per new supply-side activation via AI channels: ~SGD 240 fully loaded (vs SGD 380-520 via paid acquisition channels)

Demand-side metrics:

  • AI-attributed demand-side new conversion: from 7 buyer accounts per month at intake to ~95 per month at Day 90. That's ~+32% of total demand-side conversion now AI-attributed.

  • Demand-side AI search citation share: from 18% at intake to 51% at Day 90

  • AI Mode citation share (per the Day 52 sub-surface 1B framing): tracking established — 23% citation share at Day 90, baseline didn't exist at intake

  • Cost per new demand-side conversion via AI channels: ~SGD 85 fully loaded (vs SGD 180-260 via paid acquisition channels)

Combined GMV impact:

AI-mediated GMV contribution: from less than 3% of new transaction volume at intake to ~19% at Day 90

Total marketplace GMV during the 90-day engagement grew 11% — partially attributable to AIO program, partially seasonal, partially other initiatives. AI-attributed share of growth: ~58% per the engagement attribution analysis.

Customer acquisition cost reduction: ~37% blended across both sides (because AI-attributed customers have substantially lower fully-loaded acquisition cost than paid channels)

What the two-sided architecture demonstrated

Three operational patterns that generalize from this engagement to other marketplace AIO rebuilds:

1. Single-audience AIO programs systematically under-deliver for marketplaces. Marketplaces running AIO programs designed for one side typically score above threshold on that side but below threshold on the other. The under-served side decelerates while the served side improves, producing flat overall acquisition that masks the asymmetric outcome. The diagnostic: pull AI citation share for supply-side queries AND demand-side queries separately. Most marketplaces find a 4-10× gap between the two sides at intake. Closing that gap is the highest-leverage marketplace AIO investment.

2. Supply-side authority requires industry-specific signal sources that demand-side doesn't share. Demand-side authority signals (G2, Capterra, Forbes, customer case studies) don't transfer to supply-side AI search results. Supply-side participants research marketplace evaluation using industry-specific publications, trade associations, and supplier review platforms that are invisible to demand-side audiences. Marketplaces under-investing in supply-side authority infrastructure see this as a hidden cost — supply-side acquisition declines for reasons the demand-side-focused team can't diagnose. Building supply-side authority infrastructure from near-zero is a 4-8 week first phase plus ongoing maintenance.

3. Cross-audience entity consistency is harder for marketplaces than for single-audience businesses. Marketplaces have legitimate reasons to position differently for different audiences ("freight forwarder enablement platform" reads supply-side; "B2B shipping platform" reads demand-side). The temptation to optimize each surface's positioning for that surface's primary audience creates inconsistency that AI engines penalize. The right approach: canonical positioning that anchors both audiences without privileging either, surfaced consistently across all surfaces, with audience-specific details layered on top of consistent positioning.

What this case study demonstrates that prior case studies couldn't

Prior case studies (Days 26-30, 39, 50) demonstrated AIO methodology on single-audience businesses. Case #08 demonstrates the methodology on a two-audience business where the AIO program structurally requires parallel implementation rather than single-program implementation.

The structural pattern matters for any marketplace, two-sided platform, or multi-audience business — including:

  • B2B marketplaces (logistics, professional services, manufacturing, trade)

  • Consumer marketplaces (vacation rentals, gig services, secondhand commerce)

  • SaaS marketplaces (app stores, integration marketplaces, AI agent marketplaces)

  • Multi-audience SaaS platforms that sell to both end users and admin buyers (e.g., productivity tools where employees use the tool but procurement teams purchase it — operationally similar two-sided dynamics)

  • B2B SaaS with partner ecosystems where the AIO program needs to cover both customer acquisition and partner recruitment

The two-sided architecture isn't optional for these businesses; it's the structural requirement that single-audience AIO methodology systematically misses.

What the marketplace did with the recovered acquisition capacity

Three operational decisions the marketplace made post-engagement, worth noting because they illustrate how AIO improvements compound when reinvested rather than just measured:

1. Reduced paid acquisition spend by 22% while maintaining total new acquisition volume. The lower fully-loaded cost of AI-attributed acquisition meant the marketplace could shift budget away from paid channels (which had been the primary acquisition channel through 2024-2025) without growth deceleration. The freed budget was reinvested into supply-side content production and authority programs — compounding the AIO advantage further.

2. Extended AIO program to adjacent vertical expansion. The marketplace had been considering expansion from freight forwarding into adjacent verticals (customs brokerage, warehouse marketplace, last-mile delivery). The AIO program proved easier to extend to adjacent verticals than the paid acquisition program would have been because the content architecture, authority infrastructure, and measurement deployment transferred readily. The marketplace launched customs brokerage marketplace in Q3 2026 with AIO presence operationalized at launch rather than built post-launch.

3. Hired a dedicated AIO operations lead rather than splitting the function across the marketing and supply-success teams. The two-sided AIO architecture proved operationally complex enough that the marketplace built dedicated headcount for it — first such hire in the marketplace's category. The role reports to the COO rather than to marketing, recognizing the cross-functional nature of two-sided acquisition optimization.

What to do if you're operating a marketplace or two-sided platform

If you're running a marketplace, two-sided platform, or multi-audience business and the AIO methodology hasn't been restructured for two-sided implementation, three actions for the next 90 days:

Run the two-sided AIO audit explicitly. Apply Day 38's 32-check methodology twice — once for supply-side audience, once for demand-side audience. Score zones separately. Most marketplaces discover the supply-side scores 50-70% lower than demand-side scores across all five zones, reflecting under-investment.

Audit your authority signal sources separately for each audience. Supply-side authority typically requires industry-specific publications, trade associations, supplier review platforms, conference speaking circuits that demand-side audiences don't see. Demand-side authority requires the standard B2B (G2/Capterra/Forbes) or consumer (review sites, social signals) infrastructure. Map both audiences' authority signal universes and identify gaps.

Deploy parallel measurement infrastructure. Track AI citation share, AI-attributed acquisition, and AI-attributed activation/conversion separately for each audience. If you can't pull these numbers separately, your measurement is producing aggregate data that hides the asymmetric performance pattern almost certain to be present.

Audit cross-audience entity consistency. Pull your brand description and product positioning from G2, Capterra, LinkedIn, Crunchbase, industry directories, Wikipedia (if you have an entry), and primary website. Identify where the positioning differs by surface/audience. Resolve to canonical positioning that anchors both audiences without privileging either, then propagate consistently.

If you'd rather have an outside team run the two-sided AIO diagnostic, build the parallel content and authority programs, and stand up the rebuild alongside your in-house team — that's the discovery-edge work Praxxii Global does for marketplaces and multi-audience businesses. We've now run enough two-sided AIO engagements to recognize the asymmetric scoring pattern at intake and structure the rebuild appropriately. Free 60-minute diagnostic call before any commercial commitment.

The marketplace AIO opportunity is wider than single-audience B2B AIO because most marketplaces haven't yet recognized that single-audience AIO methodology systematically under-serves the under-invested audience. Marketplaces restructuring for two-sided AIO architecture through 2026-2027 will compound advantages on both sides of the platform simultaneously — supply growth feeding demand visibility, demand visibility attracting supply, both reinforced by AI-mediated discovery. The compounding effect makes marketplace AIO the highest-leverage discipline investment in marketplace operating models for the next 18-24 months.