01
Retail
Accurate product recommendations need complete catalogue data, current offers and a reliable route to purchase.
Your commercial priorities
The right AI strategy depends on what your business sells.
AI is changing how customers compare products, find information and buy services. Some businesses need to make more information available. Others need to protect valuable content or set limits on automated activity. Those choices can coexist within the same organisation.
02
Publishing
Original content has value. Access policies and licensing options should reflect its audience and commercial model.
03
Banking
Product explanations must preserve fees, eligibility and material conditions, with clear boundaries around advice.
External AI strategy
Understand your position. Decide what should change.
We start with your business questions, markets and customer journeys. The assessment identifies missing information, inaccurate AI descriptions and the technical or commercial decisions you need to make.
01
AI visibility and representation
Assess brand presence, competitor recommendations and answer accuracy across defined journeys. Trace visible citations and review technical accessibility and content gaps.
You receive: A baseline, supporting evidence and prioritised actions.
02
Content access and monetisation
Assess valuable assets, crawler access and protection choices. Explore licensing economics and paid-access feasibility with commercial, rights and legal owners.
You receive: Access-policy options and a commercial assessment.
03
Commerce and agent readiness
Review product and offer data, discovery routes, platform eligibility and transaction permissions. Identify the dependencies behind an appropriate commerce or service integration.
You receive: Integration options and a scoped pilot plan.
04
Information quality and oversight
Evaluate material claims against approved references. Define update ownership, review and escalation for the information that matters to customers and colleagues.
You receive: Evaluation criteria and practical review processes.
Internal AI readiness
Prepare your teams, data and workflows for AI.
We start by choosing a task to improve, checking the information it needs and agreeing who is responsible for the result. We assess use cases, data permissions, workflow changes, training and governance with your teams.
That might mean helping colleagues find approved product information or assisting service teams with documents. Each pilot needs quality criteria, action limits and a route to human review.
The roadmap sets out business cases, owners, dependencies and adoption barriers. Evaluation considers task quality, costs, staff use and escalation as well as time saved. Where specialist review is needed, we work within the agreed scope with the relevant teams.
Industry expertise
Consulting shaped around your industry.
We base the work on your customers, how your business operates and its commercial priorities. Across brands and business units, we identify the information you want AI to find and the assets and actions that need tighter control.
Explore the areas we can assess in each sector. View all industries →
Retail & Omnichannel CommerceCatalogue accuracy · Shopping discovery · Profitable orders
Give AI shopping experiences accurate product information and assess the route from recommendations to orders across your catalogue and markets.
Explore this industryMedia, Publishing & Business InformationContent and rights · Selective access · Licensing economics
Decide who can access your journalism, archives and data, on what terms, and where licensed access can support your business.
Explore this industryBanking & Financial ServicesProduct accuracy · Customer understanding · Accountable adoption
Identify material errors in AI-generated product information and plan accountable adoption across customer and colleague journeys.
Explore this industryFashion, Apparel & LuxuryCurrent collections · Fit and authenticity · Brand and creative rights
Assess how AI presents your collections, styling and product information, then plan changes that support accurate discovery and your brand standards.
Explore this industryFMCG / Consumer Packaged GoodsCategory consideration · Product and pack identity · Retailer consistency
Assess how AI recommends your products for real needs and occasions, then improve the data connecting brand discovery with retail availability.
Explore this industryHome Improvement, Garden & Trade SuppliesProjects and quantities · Compatibility and stock · Trade and technical support
Assess how AI recommends materials, tools and quantities, then improve the information behind project-led shopping and trade support.
Explore this industryTravel, Hospitality & AviationAccurate travel offers · Booking permissions · Distribution economics
Assess how AI recommends your properties, routes and experiences, then plan the data and distribution changes behind reliable booking journeys.
Explore this industryEnterprise Software, Cloud & IT ServicesBuyer and vendor fit · Current documentation · Authorised agent tasks
Assess how AI compares your capabilities and integrations, then prepare your documentation and products for buyers and authorised agents.
Explore this industryTelecoms & ConnectivityLocation and serviceability · Current tariffs · Customer and field support
Assess coverage, tariffs and service information, then plan improvements across AI discovery, sales and colleague workflows.
Explore this industryInsurance & ReinsuranceCover and conditions · Applicable wording · Accountable workflows
Assess product representation and permissioned underwriting or claims workflows, then prioritise changes with clear review and ownership.
Explore this industryHealthcare, Pharma & MedTechAudience and intended use · Approved evidence · Permissioned workflows
Assess how AI represents your services, evidence and approved information, and identify suitable workflows for accountable adoption.
Explore this industryConsumer Health, Wellness & NutritionIngredients and formulations · Approved claims · Consumer-care boundaries
Assess how AI describes your ingredients, benefits and intended use, then improve approved information across your products, markets and channels.
Explore this industryEnergy & UtilitiesCustomer information · Permissioned knowledge · Operational accountability
Assess customer information and suitable operational workflows, with clear ownership of data, decisions and reliability requirements.
Explore this industryOnline Casino & GamingLicensed markets · Customer terms · Approved player support
Assess how AI describes your operators, games and customer terms, then prioritise changes across brands and licensed markets.
Explore this industrySportsbook & BettingEvent and market context · Freshness and settlement · Public and protected data
Assess how AI describes your sportsbook, markets and settlement rules, then prioritise improvements across customer journeys and licensed markets.
Explore this industryHow we work
A plan your teams can put to work.
Every engagement begins with an agreed scope. We define the brands, assets, markets and journeys involved, then work alongside content, commerce, technology and specialist teams on the priorities.
01
Assess
Agree the business questions and relevant AI platforms. Establish baselines and identify important representation, access or readiness gaps.
02
Plan
Prioritise by value, material risk and dependencies. Deliver an executive briefing and roadmap with owners and validation criteria.
03
Support delivery
Work with your teams on the agreed changes. Align information, technical delivery, permissions and review around the roadmap.
04
Evaluate
Repeat comparable observations. Review pilot quality, adoption, costs and controls against the criteria agreed at the start.
SWLR and Ayima
Part of Ayima. Grounded in technical search.
SWLR is part of Ayima, whose technical search consulting covers complex websites, international targeting, content and how customers discover competing brands. We draw on that experience to interpret findings, prioritise changes and work with your delivery teams.
We advise on AI visibility and readiness, covering how customers find your business, how AI accesses your information and how your teams use it internally.
SWLR technology
See the evidence behind the recommendations.
We are developing AI and GEO technology for research, measurement and diagnosis. Our consultants review AI answers and their sources to identify gaps, prioritise changes and plan repeat checks under comparable conditions.
A brand mention, citation, recommendation and factual finding are different observations. We report them separately, with the scope and limitations made clear. Internal readiness has its own assessment criteria.
- Customer question
Can I collect this drill from my local store today?
- Illustrative answer
The retailer offers same-day collection at every store.
- Reference
The product page requires a stock check for the selected store.
- Finding
The answer omits the location and availability conditions.
- Proposed action
Clarify collection requirements and reconcile store availability information.
- Owner and validation
Commerce and product-data teams. Repeat the same location-specific scenario and check the conditions.
Common questions
Before we begin.
Do we need to let AI systems access all our content?
No. Access can differ by asset, purpose and system. You may want product information to support discovery while restricting proprietary content, training use or customer records. We assess the choices and the practical limits of the available controls.
How do you measure AI visibility and commercial value?
We define the questions, markets, comparison set, dates and AI platforms, then distinguish mentions, citations, recommendations and accuracy. Those samples show patterns within the scope. Orders, revenue and incremental value need a separate measurement design with your analytics and commercial teams.
Can you support external strategy and internal AI adoption?
Yes. We agree the work based on your priorities, data, workflows and teams. Where legal, clinical, regulatory or operational review is needed, we involve the responsible teams and relevant specialists.
Signal → Evidence → Action
What does AI need to do for your business?
Tell us your priority, market and business unit. We can discuss the questions worth assessing and the scope of a first engagement.
Discuss your AI strategy