Generative Engine Optimization (GEO) and AI Discoverability

Generative engine optimization (GEO) is work intended to make a business easier to discover and understand when people use AI-assisted search. At WeProms, that work begins with the same questions that make a website useful to customers: what do you offer, who do you serve, what evidence supports your claims, and can someone take the next step?

For a business in Pakistan or an overseas Pakistani business owner, the starting point is your actual market. A Lahore manufacturer seeking UK distributors needs different information from a restaurant serving one neighbourhood in Dubai. We agree the audience, the offer and the customer questions before choosing pages to improve.

GEO does not provide a separate route around SEO fundamentals. Google states that its existing search practices remain relevant to its generative AI features. There is no guaranteed place in an AI answer, and no agency controls which sources a platform chooses. See Google’s guidance on generative AI search.

Before changing the site, we document what is currently observable. That can include indexing, branded searches, service queries, referral traffic and a defined set of questions tested in the AI products relevant to your customers. We record the date, product, query, market and whether an answer names the business or links to a page.

A brand mention and a linked citation are different events. A citation does not prove that a customer visited, and a visit does not prove an enquiry. Our reporting keeps these measures separate so a visibility chart does not become a sales claim.

The prompt set is a sample. Responses may vary with location, language, account state, model changes and repeat testing. We report the test conditions and limitations alongside the observations. We do not describe a handful of prompts as the complete market or as a fixed AI ranking.

The technical review checks that key pages return the intended status code, have a clear canonical URL, can be reached through internal links and appear in the appropriate sitemap. We inspect robots directives and indexing settings, then review whether the main content is available as readable HTML.

We also look for problems that affect customers directly: slow or oversized media, broken links, confusing navigation and forms that fail to explain what happens after submission. A technically accessible page still needs to help the person who reaches it.

Search access and model training are separate decisions. OpenAI documents OAI-SearchBot for search and GPTBot for potential model-training use. We review the purpose of each crawler before recommending a setting; allowing a training crawler is not a promise of search inclusion. See OpenAI’s crawler documentation.

We review your business name, address, service coverage, contact details and relevant profiles for consistency. The site should distinguish an actual office from a market served remotely. Service pages should describe the work your team can deliver, and author profiles should identify the people responsible for the content accurately.

Evidence matters more than impressive wording. We use actual client material when permission and context allow it, retain dates on historical examples and avoid invented results, qualifications or partnerships. If a claim cannot be supported, we qualify or remove it.

Structured data is part of this work where it describes the visible page accurately. We check entity identifiers, URLs, authorship and the appropriate schema types. Markup does not create a qualification, make a review independent or guarantee that a search feature will display.

A useful service page explains the problem, scope, process, inputs, limitations and next action. A useful article answers a real question with enough detail for the reader to make a decision. We review those needs before adding new pages or expanding existing copy.

The work may include a clearer opening answer, descriptive headings, practical comparison tables, original explanations and links to primary sources. Statistics need a source, date and relevant context. We do not add unsupported numbers simply to make a paragraph look authoritative.

Long content is useful when it helps the reader. We retain substantive guidance and make it easy to navigate rather than hiding it behind interface controls. We also remove repetition where it distracts from the answer. There is no target word count that guarantees an AI citation.

An llms.txt file can provide an optional text index for systems or people that choose to use it. It should reflect the public website and link to current pages. It is not access control, a substitute for robots.txt, or a required search submission file.

Google explicitly says it does not use llms.txt to improve a site’s visibility or rankings. We therefore treat maintaining such an index as documentation, not as proof that a GEO campaign is working. Crawl access, useful content and accurate business information remain the priorities.

We agree what matters commercially before building a dashboard. Depending on the business, that may be qualified enquiries, booked appointments, accepted quotations, purchases or repeat orders. Tracking needs to distinguish confirmed outcomes from button clicks and draft messages.

Referral reporting can show visits from identifiable sources, but it does not capture every exposure to an AI answer. Some visits arrive without a useful referrer, and some people learn about a brand without clicking. We report observed traffic alongside those limits rather than attributing every change to AI search.

A review should explain what changed, why it was changed, what the available data shows and what to test next. We keep implementation progress separate from search performance. Fixing a canonical or publishing a useful page is completed work; a future citation remains a platform decision.

A focused engagement can begin with an audit and prioritised implementation list. Ongoing work can include page improvements, technical checks, factual content maintenance and repeated visibility observations. The proposal identifies the pages, access, approvals, reporting and responsibilities included.

Timing depends on the size of the site, the condition of the content and the implementation access available. We can agree delivery milestones for work we control. We cannot promise a citation date, a traffic percentage or a fixed return on investment.

Our team works from Lahore and can collaborate remotely with businesses in Pakistan and abroad. To start, share your website, target market, main services and the questions customers ask before buying. We can then discuss whether a technical SEO review, measurement work or a broader marketing scope is the most useful next step. Contact WeProms to discuss your priorities.