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Particular Audience

Full company profile

uuid0000ss3

Namestring
Particular Audience
Legal namestring
Particular Audience
Company typeenum
Private
Founded yearint
2019
Descriptiontext

Particular Audience is an Australian AI software company, founded in 2019 and headquartered in Darlinghurst, Sydney, that sells a modular retail intelligence and retail media platform called DiscoveryOS to enterprise e-commerce merchants. The platform unifies AI-powered semantic search, personalization, recommendations, automated product bundles, visual search, pricing intelligence, and merchandising into 13 composable modules, and processes over 100 million items using a proprietary multi-modal architecture that combines computer vision, natural language processing, and collaborative filtering on item-based vector embeddings. The technology is privacy-first by design, requiring no cookies or personal data, and includes an Adaptive Transformer Search layer that reduces zero-result rates to under 1 percent.

The business operates on a managed-service, white-glove enterprise SaaS model with subscription and performance-based pricing components, and has expanded go-to-market through the Shopify App Store and an open source developer suite on GitHub. Named customers include LEGO, Target, and Shoe Palace, with additional case studies across streetwear, luxury furniture, and daily deals verticals. The company operates from five global offices covering 24/7 timezones and has raised approximately AUD $19M across seed, Series A, and a 2023 round led by OneVentures. Recent product investment has emphasized agentic commerce, including a public Model Context Protocol server and protocols for Agentic Transaction Surface, Unified Commerce, and Agentic Commerce to enable merchant integrations with ChatGPT, Claude, Cursor, and other assistant platforms.

Short descriptiontext

Particular Audience sells DiscoveryOS, a modular AI platform providing retail media, search, personalization, and pricing for enterprise e-commerce merchants, processing 100M+ items via multi-modal AI.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
51–100
akta.pro rankint
HeadquartersDarlinghurst, Australia
HQ citystring
Darlinghurst
HQ countrystring
Australia
HQ regionstring
Oceania
Markets served

Serves global market

Offices5 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
retail media platform, ecommerce personalization software, AI product discovery, semantic search engine, retail media network
Industry1 code
PRIMARYHDAEAGAH
Enterprise Search, Indexing & Content Discovery
Hardware, Technology & Telecom/Enterprise Platforms & Databases/Enterprise Content Management (ECM) & Document Management
NAICS code2 codes
  • Software Publishers5132
  • Web Search Portals and All Other Information Services519290
Product category
Retail Media and E-commerce Personalization Software
Social media profiles2 records
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model4 records
1Retail Media Modules
TypeSubscription Recurring
Description

Modular retail media platform providing managed and self-service modules for sponsored products, display media, brand showcase, category sponsor, and guaranteed tenancy. Clients include LEGO and Target with significant ad performance improvements.

particularaudience.com
2DiscoveryOS SaaS Platform
TypeSubscription Recurring
Description

Core AI platform providing search, personalization, recommendations, bundling, and merchandising capabilities. Sold as managed service with white-glove support.

particularaudience.com
3Bundles Performance Pricing
TypeUsage Based
Description

Automated product bundles with performance-based pricing available, claiming 30-60% increase in Units Per Transaction.

marcommnews.com
4API & Developer Tools
TypeSubscription Recurring
Description

API-first distribution with developer documentation, white glove support, and managed service model for training and enablement.

particularaudience.com
Marketing channels7 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 record
1DiscoveryOS
Description

Modular retail intelligence and retail media platform that unifies AI-powered semantic search, personalization, recommendations, sponsored ads, display media, audiences, and unified reporting into 13 composable modules.

explore.particularaudience.com
Core offering1 text field

Particular Audience sells DiscoveryOS, a modular AI-powered retail intelligence and retail media platform for e-commerce retailers and retail media networks. The platform unifies semantic search, hyper-personalization, recommendations, automated bundling, visual search, pricing intelligence, retail media monetization, and reporting into 13 composable modules, sold primarily via managed-service SaaS subscriptions with performance-based pricing available on selected modules. It is offered through direct enterprise sales, a Shopify App Store listing, an open-source developer suite on GitHub, and a partner program.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 8 values shown
  • 4-10x retail media revenue lift versus legacy rules-based platforms
+7 more records
Product overview1 text field

Particular Audience offers a platform-plus-modules architecture centered on DiscoveryOS, a modular retail intelligence platform that unifies AI-powered search, personalization, recommendations, retail media, and reporting into 13 composable modules. The core platform is supplemented by specialized modules including Adaptive Transformer Search (LLM-powered search), Hyper-Personalization (recommendation engine), Retail Media (monetization), Automated Product Bundles, Visual Search (Computer Vision AI), Price Beat (promotion automation), Pricing Intelligence, Boost Merchandising, and Merchandise Analytics. Additional productized protocols include MCP (Model Context Protocol), ATS (Agentic Transaction Surface), UCP (Unified Commerce Protocol), and ACP (Agentic Commerce Protocol) for agentic commerce capabilities. The company also provides an Open Source Developer Suite on GitHub and a Shopify app for zero-code integration.

Product and service3 records
1DiscoveryOS
CategoryRetail Media Platform
Description

Modular retail intelligence and retail media platform that unifies AI-powered semantic search, personalization, recommendations, sponsored ads, display media, audiences, and unified reporting into 13 composable modules. Sold as managed-service SaaS to enterprise retailers and retail media networks, enabling gradual deployment and scale of on-site ad monetization and discovery.

2PA DiscoveryOS Shopify App
CategoryE-commerce App
Description

Zero-code integration app on the Shopify App Store that makes enterprise-grade AI search, automated product bundling, personalization, retail media, and agentic commerce capabilities accessible to Shopify Plus merchants. Targets mid-market Shopify Plus operators needing rapid time-to-value without custom engineering.

3Open Source Developer Suite
CategoryDeveloper Tools
Description

Open-source tools published on GitHub for reporting, integration, and AI enablement that complement the DiscoveryOS platform and broaden developer access to Particular Audience's retail media and search technology. Distributed under open-source licensing to the global developer ecosystem.

Scale indicator8 records

Each record includes

Type, Value, Description, Source

Partnership2 partners
1LEGO
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-01-29
Description

Early client for modular retail media platform launch. Achieved significant improvements in ad performance and revenue using Particular Audience's interoperable modules.

marcommnews.com
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-01-29
Description

Early client for modular retail media platform launch. Achieved significant improvements in ad performance and revenue using Particular Audience's interoperable modules.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

AI-first product discovery, search, and personalization SaaS for e-commerce retailers. Directly competes with Particular Audience's Search, Personalization, and Recommendations modules and targets the same mid-market and enterprise retail segment.

TypeDirect peer
Description

Search-as-a-service platform widely used by e-commerce retailers for site search, recommendations, and personalization. Overlaps directly with PA's Adaptive Transformer Search and Personalization modules, with a strong developer ecosystem.

TypeDirect peer
Description

Commerce experience platform combining search, merchandising, content, and personalization for enterprise retailers. Closest large-scale direct competitor to PA's DiscoveryOS, with overlapping modules and similar enterprise retail customer base.

TypeDirect peer
Description

Enterprise AI search and recommendations platform with relevance, personalization, and generative AI features for commerce, service, and workplace use cases. Competes with PA on AI-powered search and personalization for retailers.

TypeDirect peer
Description

AI-powered on-site search, product recommendations, and merchandising for e-commerce. Direct overlap with PA's Adaptive Transformer Search and Personalization offerings, focused on SMB and mid-market retailers.

TypeDirect peer
Description

E-commerce site search, merchandising, and personalization platform. Competes head-on with PA's Search, Merchandising, and Personalization modules, primarily serving mid-market Shopify and BigCommerce merchants.

TypeDirect peer
Description

AI-driven personalization, product recommendations, and on-site content for e-commerce brands. Directly comparable to PA's Personalization and Basket Builder modules, with strong Shopify Plus and DTC brand presence.

TypeBroad incumbent
Description

Personalization, product recommendations, and testing platform acquired by Mastercard; serves large enterprise retailers and digital publishers. Competes with PA across personalization and recommendations, with broader horizontal capabilities.

TypeBroad incumbent
Description

Established personalization and testing platform for enterprise retail and B2B brands. Competes with PA's Personalization and Merchandising modules, with a longer enterprise track record but a more legacy product footprint.

TypeBroad incumbent
Description

Global commerce media and retail media network with sponsored products and audience solutions. Directly competes with PA's Retail Media and Audiences modules, with much greater scale but a less unified search/personalization stack.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers6 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration6 records

Each record includes

Title, Type, Description, Source

AI capability10 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature6 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles2 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds4 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors5 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Particular Audience

Retail Media and E-commerce Personalization Softwareparticularaudience.com

Particular Audience sells DiscoveryOS, a modular AI platform providing retail media, search, personalization, and pricing for enterprise e-commerce merchants, processing 100M+ items via multi-modal AI.

What Particular Audience does

Particular Audience is an Australian AI software company, founded in 2019 and headquartered in Darlinghurst, Sydney, that sells a modular retail intelligence and retail media platform called DiscoveryOS to enterprise e-commerce merchants. The platform unifies AI-powered semantic search, personalization, recommendations, automated product bundles, visual search, pricing intelligence, and merchandising into 13 composable modules, and processes over 100 million items using a proprietary multi-modal architecture that combines computer vision, natural language processing, and collaborative filtering on item-based vector embeddings. The technology is privacy-first by design, requiring no cookies or personal data, and includes an Adaptive Transformer Search layer that reduces zero-result rates to under 1 percent.

The business operates on a managed-service, white-glove enterprise SaaS model with subscription and performance-based pricing components, and has expanded go-to-market through the Shopify App Store and an open source developer suite on GitHub. Named customers include LEGO, Target, and Shoe Palace, with additional case studies across streetwear, luxury furniture, and daily deals verticals. The company operates from five global offices covering 24/7 timezones and has raised approximately AUD $19M across seed, Series A, and a 2023 round led by OneVentures. Recent product investment has emphasized agentic commerce, including a public Model Context Protocol server and protocols for Agentic Transaction Surface, Unified Commerce, and Agentic Commerce to enable merchant integrations with ChatGPT, Claude, Cursor, and other assistant platforms.

Particular Audience firmographics

Firmographics
Name
Particular Audience
Legal name
Particular Audience
Website
https://particularaudience.com
Company type
Private
Founded year
2019
Operating status
Operating
Headcount range
51–100 employees
Short description
Particular Audience sells DiscoveryOS, a modular AI platform providing retail media, search, personalization, and pricing for enterprise e-commerce merchants, processing 100M+ items via multi-modal AI.
Ownership category
akta.pro rank

Particular Audience industry classification

Industry
Product category
Retail Media and E-commerce Personalization Software
NAICS
Software Publishers (5132), Web Search Portals and All Other Information Services (519290)
akta.pro industry
PRIMARYHDAEAGAH
Enterprise Search, Indexing & Content Discovery
Hardware, Technology & Telecom/Enterprise Platforms & Databases/Enterprise Content Management (ECM) & Document Management

Keywords

  • Retail media platform
  • Ecommerce personalization software
  • AI product discovery
  • Semantic search engine
  • Retail media network

Where Particular Audience is headquartered

Location

Headquarters

HQ city
Darlinghurst
HQ country
Australia
HQ region
Oceania

Offices5 records

Markets served

Particular Audience business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure

Revenue model

  1. Retail Media Modules: Modular retail media platform providing managed and self-service modules for sponsored products, display media, brand showcase, category sponsor, and guaranteed tenancy. Clients include LEGO and Target with significant ad performance improvements.
  2. DiscoveryOS SaaS Platform: Core AI platform providing search, personalization, recommendations, bundling, and merchandising capabilities. Sold as managed service with white-glove support.
  3. Bundles Performance Pricing: Automated product bundles with performance-based pricing available, claiming 30-60% increase in Units Per Transaction.
  4. API & Developer Tools: API-first distribution with developer documentation, white glove support, and managed service model for training and enablement.

Go-to-market motion3 records

Distribution channels4 records

Marketing channels7 records

Particular Audience product offering

Product offering

Core offering

Particular Audience sells DiscoveryOS, a modular AI-powered retail intelligence and retail media platform for e-commerce retailers and retail media networks. The platform unifies semantic search, hyper-personalization, recommendations, automated bundling, visual search, pricing intelligence, retail media monetization, and reporting into 13 composable modules, sold primarily via managed-service SaaS subscriptions with performance-based pricing available on selected modules. It is offered through direct enterprise sales, a Shopify App Store listing, an open-source developer suite on GitHub, and a partner program.

Product overview

Particular Audience offers a platform-plus-modules architecture centered on DiscoveryOS, a modular retail intelligence platform that unifies AI-powered search, personalization, recommendations, retail media, and reporting into 13 composable modules. The core platform is supplemented by specialized modules including Adaptive Transformer Search (LLM-powered search), Hyper-Personalization (recommendation engine), Retail Media (monetization), Automated Product Bundles, Visual Search (Computer Vision AI), Price Beat (promotion automation), Pricing Intelligence, Boost Merchandising, and Merchandise Analytics. Additional productized protocols include MCP (Model Context Protocol), ATS (Agentic Transaction Surface), UCP (Unified Commerce Protocol), and ACP (Agentic Commerce Protocol) for agentic commerce capabilities. The company also provides an Open Source Developer Suite on GitHub and a Shopify app for zero-code integration.

Differentiator

Problem solved

Functional benefit

Brands

  • DiscoveryOS: Modular retail intelligence and retail media platform that unifies AI-powered semantic search, personalization, recommendations, sponsored ads, display media, audiences, and unified reporting into 13 composable modules.

Products and services

  • DiscoveryOS Modular retail intelligence and retail media platform that unifies AI-powered semantic search, personalization, recommendations, sponsored ads, display media, audiences, and unified reporting into 13 composable modules. Sold as managed-service SaaS to enterprise retailers and retail media networks, enabling gradual deployment and scale of on-site ad monetization and discovery.
  • PA DiscoveryOS Shopify App Zero-code integration app on the Shopify App Store that makes enterprise-grade AI search, automated product bundling, personalization, retail media, and agentic commerce capabilities accessible to Shopify Plus merchants. Targets mid-market Shopify Plus operators needing rapid time-to-value without custom engineering.
  • Open Source Developer Suite Open-source tools published on GitHub for reporting, integration, and AI enablement that complement the DiscoveryOS platform and broaden developer access to Particular Audience's retail media and search technology. Distributed under open-source licensing to the global developer ecosystem.

Quantifiable outcome

  • 4-10x retail media revenue lift versus legacy rules-based platforms
  • +7 more outcomes

Companies that use Particular Audience

Customer profile

Named customers6 records

Ideal customer profiles2 records

Particular Audience technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration6 records

AI capability10 records

Feature6 records

Particular Audience partnerships and signals

Strategic signal

Partnerships

Two partnerships are on record, tiered core.

  • LEGOcoreStrategic or Co-development Partner · 29 January 2026Early client for modular retail media platform launch. Achieved significant improvements in ad performance and revenue using Particular Audience's interoperable modules.
  • TargetcoreStrategic or Co-development Partner · 29 January 2026Early client for modular retail media platform launch. Achieved significant improvements in ad performance and revenue using Particular Audience's interoperable modules.

Scale indicators8 records

Recent moves6 records

Expansion highlights6 records

Particular Audience competitors and assessment

Company assessment

Direct peers

  • Constructor.io: AI-first product discovery, search, and personalization SaaS for e-commerce retailers. Directly competes with Particular Audience's Search, Personalization, and Recommendations modules and targets the same mid-market and enterprise retail segment.
  • Algolia: Search-as-a-service platform widely used by e-commerce retailers for site search, recommendations, and personalization. Overlaps directly with PA's Adaptive Transformer Search and Personalization modules, with a strong developer ecosystem.
  • Bloomreach: Commerce experience platform combining search, merchandising, content, and personalization for enterprise retailers. Closest large-scale direct competitor to PA's DiscoveryOS, with overlapping modules and similar enterprise retail customer base.
  • Coveo: Enterprise AI search and recommendations platform with relevance, personalization, and generative AI features for commerce, service, and workplace use cases. Competes with PA on AI-powered search and personalization for retailers.
  • Klevu: AI-powered on-site search, product recommendations, and merchandising for e-commerce. Direct overlap with PA's Adaptive Transformer Search and Personalization offerings, focused on SMB and mid-market retailers.
  • Searchspring: E-commerce site search, merchandising, and personalization platform. Competes head-on with PA's Search, Merchandising, and Personalization modules, primarily serving mid-market Shopify and BigCommerce merchants.
  • Nosto: AI-driven personalization, product recommendations, and on-site content for e-commerce brands. Directly comparable to PA's Personalization and Basket Builder modules, with strong Shopify Plus and DTC brand presence.

Broad incumbents

  • Dynamic Yield (Mastercard): Personalization, product recommendations, and testing platform acquired by Mastercard; serves large enterprise retailers and digital publishers. Competes with PA across personalization and recommendations, with broader horizontal capabilities.
  • Monetate: Established personalization and testing platform for enterprise retail and B2B brands. Competes with PA's Personalization and Merchandising modules, with a longer enterprise track record but a more legacy product footprint.
  • Criteo: Global commerce media and retail media network with sponsored products and audience solutions. Directly competes with PA's Retail Media and Audiences modules, with much greater scale but a less unified search/personalization stack.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

Particular Audience social profiles

Digital presence

Particular Audience financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Particular Audience leadership team

Management profile

Number of profiles

Profiles2 records

Particular Audience funding detail

Funding detail

Funding overview

Funding rounds4 records

Investors5 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Particular Audience M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Particular Audience

What does Particular Audience do?

Particular Audience sells DiscoveryOS, a modular AI-powered retail intelligence and retail media platform for e-commerce retailers and retail media networks. The platform unifies semantic search, hyper-personalization, recommendations, automated bundling, visual search, pricing intelligence, retail media monetization, and reporting into 13 composable modules, sold primarily via managed-service SaaS subscriptions with performance-based pricing available on selected modules. It is offered through direct enterprise sales, a Shopify App Store listing, an open-source developer suite on GitHub, and a partner program.

Is Particular Audience a public or private company?

Particular Audience is a private company. It is classified as venture growth investor backed and is currently operating.

When was Particular Audience founded?

Particular Audience was founded in 2019. It employs 51 to 100 people.

Where is Particular Audience based?

Particular Audience is headquartered in Darlinghurst, Australia, in the Oceania region.

How does Particular Audience make money?

Four revenue lines are on record. Retail Media Modules are the primary driver. The others are discoveryOS SaaS Platform, bundles Performance Pricing and API & Developer Tools.

Who are Particular Audience's main competitors?

Direct peers on record are Constructor.io, Algolia, Bloomreach, Coveo, Klevu, Searchspring and Nosto. Broad incumbents are Dynamic Yield (Mastercard), Monetate and Criteo.

Does Particular Audience have an API?

Yes. Particular Audience offers public API endpoints including OpenAPI 3.1 spec for ChatGPT Actions, LangChain HTTP tools, Zapier, and other non-MCP clients. A public MCP (Model Context Protocol) server is available at https://txvehnzkbzzrpqyxvmpy.supabase.co/functions/v1/mcp with public tools including list_modules, get_module, list_case_studies, get_case_study, forecast_retail_media_revenue, and submit_lead. Additional productized protocols include ATS (Agentic Transaction Surface), UCP (Unified Commerce Protocol), and ACP (Agentic Commerce Protocol) available under partner contracts. Developer documentation is at docs-v2.particularaudience.com.

What industry is Particular Audience in?

Particular Audience's product category is Retail Media and E-commerce Personalization Software. Its primary akta.pro industry code is HDAEAGAH, Enterprise Search, Indexing & Content Discovery. Its NAICS code is 5132.

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Live signals
MarTech SeriesParticular Audience launches Trade Media solution to bring trade marketing into the digital ageParticular Audience launched Trade Media, a solution for supplier-funded promotions that lets brands adjust discounts in real time. It uses AI to apply only the discount needed to beat a competitor's price, reducing margin loss. The solution builds on its 2021 Price Beat module, which increased conversions by over 300% when a discount was applied.CRM MagazineParticular Audience Launches Trade MediaParticular Audience launched Trade Media, a platform for supplier-funded promotions with digital media flexibility and measurability. It dynamically sets discounts to beat competitors, reducing margin loss, and builds on its Price Beat module. The solution aims to replace opaque, rigid trade marketing with controlled, measurable campaigns.InternetretailingGUEST COMMENT Retailers are about to find out whether they still own their own shelvesJames Taylor argues retailers must control ranking decisions in AI retail media, warning that exposing a raw catalogue to an LLM surrenders profit control. He cites a pet retail case where transformer-based search quadrupled monetisation coverage, and a beauty retailer where bid-only auctions cut click-through rate by 87.3% and sales by 55.6%.B2B SaaS BlogParticular Audience Revenue 2025: $67M Est. ARRParticular Audience, a vertically integrated retail media platform founded in 2017, estimates $67M ARR for 2025. The company uses AI and multimodal machine learning to power personalized search and sponsored placements, with clients including Target, The Good Guys, and Hotel Chocolat.Retail-weekQ&A: Particular Audience chief executive discusses the evolution of retail media, search and personalisation | Retail WeekRetail Week published a Q&A interview with Particular Audience chief executive James Taylor, discussing how retail media architecture must evolve to incorporate advanced search and recommendation systems to remain viable over the next five years. Particular Audience is described as an AI-driven platform that unifies retail media, advanced search, and personalisation, with Taylor sharing insights on industry trends and the growing importance of search and generative engine optimisation. The article cites Hotel Chocolat, JD Sports, and Lego as clients of the platform, though the content is primarily forward-looking commentary rather than a specific news event.Retail-weekQ&A: Particular Audience chief executive discusses the evolution of retail media, search and personalisation | Retail WeekThis is a Q&A interview with Particular Audience chief executive James Taylor discussing the evolution of retail media, advanced search, and personalisation technologies. Taylor argues that current retail media architecture will not survive the next five years without incorporating advanced search and recommendation systems. The article references Particular Audience's work with retailers including Hotel Chocolat, JD Sports, and Lego as examples of its client base.MarTech SeriesReport: Retailers Have Two Years To Ensure They’re The Ones In Charge Of Retail Media’s AI ShiftAI-powered retail media personalization platform Particular Audience released an industry guide warning that retailers have approximately two years to establish control over AI architecture layers or risk losing commercial sovereignty to LLM providers. The report, titled Retail Media AI Architecture: From Prediction to Decisioning, identifies five distinct technical layers (Causal Measurement, Predictive Models, Decisioning Systems, Generative Interfaces, and Agentic Orchestration) and emphasizes that retailers must own or meaningfully influence the decisioning layer to retain monetization control. CEO James Taylor cautions that retailers exposing catalogues directly to third-party LLMs without an intervening decisioning layer risk becoming "inventory in someone else's auction."InternetretailingGUEST COMMENT How to succeed in the era of agentic commerceJames Taylor argues retailers need transformer search with a governance layer to monetize AI-driven discovery, citing the Model Context Protocol as a key standard. He notes exact-match keywords miss 75% of intent and warns retailers must own the decisioning layer. A PetBarn test showed automated transformer-driven bidding quadrupled monetisation coverage.MarcommnewsParticular Audience Launches PA DiscoveryOS on Shopify – Marketing Communication NewsParticular Audience has launched its PA DiscoveryOS app on the Shopify App Store, making enterprise-grade AI search, retail media, and agentic commerce capabilities accessible to Shopify Plus merchants through a zero-code integration. The platform combines vector search with automated bundling and real-time personalization, reducing implementation time from months to minutes and claiming to increase Units Per Transaction by 30-60%. The launch also connects merchants to Retail-MCP.com, Particular Audience's open-source framework enabling conversational AI platforms as direct sales channels.Internetretailingsignalling a new era of accessible enterprise AI for merchantsParticular Audience launched its PA DiscoveryOS app on the Shopify App Store, offering enterprise AI search, personalization, and retail media infrastructure via zero-code integrations. The platform aims to help mid-market and enterprise merchants deploy advanced AI overnight, potentially increasing average order values and creating high-margin revenue streams through onsite retail media.