Enterprise GEO & AI consulting
Improve how AI represents your brand, decide how it accesses your content and services, and help your teams put it to useful work.
Part of Ayima, SWLR connects technical search expertise with the decisions enterprise leaders need to make.
Start with the business
An ecommerce team may want more relevant product recommendations. A publisher may need to protect original reporting and assess licensing opportunities. An internal team may need a better way to find approved information.
We agree the outcome first, then build the scope around your markets, systems and people. You receive a clear assessment, practical recommendations and a plan your teams can act on.
Our services
Choose a focused assessment or combine services around a wider programme. We agree the questions, outputs and responsibilities.
01
Identify where AI could support growth, protect valuable assets or improve a workflow. We assess the opportunity, current readiness, costs and dependencies with your commercial and technology teams.
You receive: An executive briefing, a prioritised opportunity assessment and a roadmap with proposed owners.
02
Generative engine optimisation, or GEO, focuses on how your business appears in AI answers and discovery. We assess mentions, citations, recommendations and accuracy across agreed questions, markets and platforms. Then we identify content, technical search and source-information improvements.
You receive: A visibility baseline, competitor and citation analysis, and prioritised recommendations for your website and wider information sources.
03
Decide which assets AI systems should access and for what purpose. We review crawler activity, current controls and the commercial value of your content. For publishers and data owners, we assess licensing and paid-access options, including HTTP 402 approaches where suitable.
You receive: An asset and access assessment, policy options, and a commercial feasibility brief for your rights and legal teams.
04
Help AI discovery reflect the products and services customers can actually buy. We review catalogue quality, price, availability, eligibility and purchase conditions. Where relevant, we assess feeds, APIs and Universal Commerce Protocol (UCP) integration, including the permissions needed for an agent to take action.
You receive: A product-data gap analysis, integration requirements and a scoped pilot plan with transaction and customer-support responsibilities.
05
Find useful tasks, assess the information behind them and plan a manageable pilot. We work with teams on workflow design, approved tools, source access, training and review. Success means people can complete the task to an agreed standard.
You receive: A use-case shortlist, readiness assessment, pilot evaluation plan and practical team guidance.
06
Check how AI describes material claims, eligibility, product conditions and company information. We compare answers with approved references and establish how errors are reviewed, corrected at source and escalated to the right owner.
You receive: An information-quality assessment, evaluation criteria and a review process with ownership and escalation routes.
Ways to work together
The right engagement depends on the decision you need to make and the capacity of your teams. We agree the scope before work begins.
01
Answer a defined question for one market, business unit or priority. Establish the evidence and decide what should happen next.
You receive: Findings, recommendations and an agreed next step.
02
Translate the plan into content briefs, technical requirements and pilot work. We work alongside the teams responsible for delivery and validation.
You receive: A delivery backlog, implementation guidance and review against the agreed requirements.
03
Support an active programme as information, platforms and business priorities change. Agree a useful review cadence and keep decisions connected to evidence.
You receive: Regular evaluations, updated priorities and support for programme owners.
Evidence of value
We agree useful measures at the start. A brand mention, a completed sale and a faster internal task answer different questions. Reporting should keep those distinctions clear.
Track relevant mentions, citations and recommendations, and check whether answers describe your business correctly. Record the sample and conditions so changes can be interpreted.
Connect discovery and referrals to enquiries, orders or other agreed outcomes where the data allows. Assess incremental value separately from visibility scores.
Evaluate task quality, time, cost and adoption against the current process. Include review effort so a faster draft is not mistaken for a better result.
Explore SWLR
01
See how we assess, plan, support delivery and evaluate the work.
02
Explore the technical methods behind the assessment and integration planning.
03
Find the opportunities and concerns that shape the work in your sector.
Common questions
Yes. A focused question can be the best starting point, whether that is visibility in one market, access to a content archive or a single internal workflow. We agree a scope that supports a useful decision.
Yes. We can work with your search, content, engineering, data and AI teams, or support an existing programme. We agree responsibilities and involve the relevant security, legal and specialist owners where the work requires their input.
Technical SEO and useful, accurate content remain important foundations for AI discovery. GEO adds a closer view of how AI answers represent your business, which sources they use and which customer questions need better information. Inclusion in an AI answer is not guaranteed.
Signal → Evidence → Action
Tell us the priority you want to address, the markets involved and the decision you need to make. We will discuss a useful starting point.
