What Is llms.txt—and Does Your Website Actually Need One?

What Is llms.txt—and Does Your Website Actually Need One?

The way people find businesses online is changing.

For years, the job of a website was relatively straightforward. It needed to communicate clearly with potential customers while giving search engines enough information to crawl, understand, and rank its pages.

That’s still important. But it’s no longer the whole picture.

People are increasingly using tools such as ChatGPT, Claude, Perplexity, Gemini, and Google’s artificial intelligence features to research businesses, compare services, understand products, and make purchasing decisions. Instead of clicking through multiple search results and working everything out themselves, they’re asking direct questions and expecting a useful answer.

Which web design agency works with businesses in Northern Ireland?

What’s the difference between search engine optimisation and answer engine optimisation?

Which company can build a website and improve its visibility in AI search?

Does this business work with clients across the UK?

Artificial intelligence tools attempt to answer these questions by reading, interpreting, and combining information from across the web. The problem is that most websites weren’t built to make that process easy.

They were built for people to look at.

Modern websites often contain navigation menus, animations, cookie notices, scripts, pop-ups, promotional banners, repeated footers, dynamic components, and visual layouts that only make complete sense when seen on screen. A person can usually work out which information matters. A language model may need to separate the useful content from a large amount of surrounding noise.

That’s the problem llms.txt is trying to solve.

What is llms.txt?

An llms.txt file is a proposed way of giving large language models a concise, structured overview of a website.

It’s a plain-text file written using Markdown and placed at the root of a domain. For Lowe Design, that location would be:

https://lowedesign.io/llms.txt

The file can explain what the business does, who it serves, which services it offers, and where the most important information can be found. Rather than leaving an artificial intelligence system to crawl the entire website and decide which pages matter, the website owner provides a curated route through the content.

That word—curated—is important.

An llms.txt file isn’t intended to become another giant sitemap containing every page on the website. It should identify the pages that provide the clearest and most authoritative explanation of the business, product, organisation, or project.

For a business such as Lowe Design, that could mean directing artificial intelligence systems towards its branding, website design, search engine optimisation, answer engine optimisation, case study, about, and contact pages.

It acts as a summary and signpost.

It doesn’t replace the website. It doesn’t replace the content on those pages. It simply provides a cleaner route towards the information that matters.

Why was llms.txt proposed?

Large language models can process a significant amount of text, but they still operate within context limits. Feeding an entire website into a model is often inefficient, particularly when that website contains hundreds or thousands of pages.

Even a relatively small business website can include far more content than is necessary to answer a specific question. There may be archived posts, old campaign pages, cookie policies, tag archives, duplicated category pages, account screens, image files, tracking code, and content that’s technically public but no longer particularly relevant.

The challenge becomes even greater for software platforms, universities, public bodies, ecommerce stores, and documentation websites.

Imagine asking an AI assistant how a software integration works. It may need to find the correct technical documentation, identify the current version, ignore outdated instructions, understand authentication requirements, and distinguish official documentation from general marketing content.

Now imagine asking it to do that across a website containing several thousand URLs.

The llms.txt proposal attempts to reduce that uncertainty. It gives the model a smaller, more intentional collection of resources to work from.

The proposal was published by Jeremy Howard in September 2024. It describes llms.txt as a file that can help language models use website information at inference time—the point at which someone is actively asking the model a question—rather than necessarily acting as a tool for AI training.

That distinction matters because llms.txt isn’t designed as a permission system. It’s designed as a context system.

How does an llms.txt file work?

The file uses a simple Markdown structure.

It begins with the name of the website, project, or organisation. That can be followed by a short summary, additional explanatory text, and groups of links arranged under descriptive headings.

A basic version for Lowe Design could look something like this:

Lowe Design

Lowe Design is a web design and branding agency based on the North Coast of Northern Ireland, working with businesses across the UK and remotely.

Lowe Design solves business problems through branding, custom websites, search engine optimisation, and answer engine optimisation. These services are built as one connected system designed to improve visibility, generate enquiries, and help businesses grow.

Core Services

• Branding: Brand strategy, visual identity, logo design, and supporting brand systems for businesses that need clearer positioning and stronger recognition.
• Websites: Bespoke website design and development focused on performance, usability, search visibility, and converting visitors into customers.
• SEO: Search engine optimisation services designed to improve organic visibility and help the right customers find the business through Google.
• AEO: Answer engine optimisation designed to make business information clearer and easier for tools such as ChatGPT, Perplexity, and Google AI to understand and reference.

About Lowe Design

• About: Information about the agency, its experience, approach, and the businesses it works with.
• Selected Work: Branding, web design, and digital projects completed for clients across different industries.
• Services: An overview of the agency’s connected branding, website, SEO, and AEO services.

Business Information

• Frequently Asked Questions: Answers covering pricing, project timescales, service areas, and the benefits of hiring a custom design agency.
• Contact Lowe Design: Project enquiry details for businesses looking for branding, website design, SEO, or AEO support.

Optional

• Lowe Design Blog: Articles covering branding, websites, SEO, AEO, design, and digital business growth.

There’s nothing technically dramatic happening inside that file.

That’s part of its appeal.

The content is easy for a person to read, easy for a developer to update, and easy for a language model or software agent to process. The headings create a clear hierarchy, while the descriptions beside each link explain why the page matters.

Why does llms.txt use Markdown?

Markdown is a lightweight method of structuring text.

It allows headings, links, paragraphs, lists, and emphasis to be created without the additional complexity of a full HTML document. It’s already widely used across software documentation, GitHub repositories, knowledge bases, and technical guides.

A main heading can be written like this:

Lowe Design

A secondary heading can be written like this:

Core Services

A descriptive link can be written like this:

• Website Design: Bespoke website design and development focused on performance, usability, and conversion.

Language models generally understand Markdown well because it provides structure without introducing excessive code or visual styling.

An HTML page may contain the same information, but it can also include scripts, navigation, tracking tags, accessibility attributes, styling classes, and layout elements. Markdown strips the page back to the information and the relationship between each section.

For artificial intelligence systems attempting to understand a website quickly, that simplicity can be useful.

Is llms.txt the same as robots.txt?

No, although the similarity in their names has created a lot of confusion.

A robots.txt file is primarily used to provide instructions about which areas of a website automated crawlers should or shouldn’t access. It can be used to discourage crawlers from entering areas such as internal search results, administration sections, duplicate archives, or private directories.

An llms.txt file doesn’t control access.

It can’t stop an artificial intelligence company from crawling a website. It doesn’t prevent content from being used for model training. It doesn’t act as a privacy setting, and it doesn’t grant or withdraw permission.

Its purpose is to provide context.

Robots.txt is concerned with where automated systems may go. llms.txt attempts to explain where the most useful information can be found and how those resources fit together.

They can exist alongside each other because they’re doing completely different jobs.

Is llms.txt the same as an XML sitemap?

It isn’t a replacement for an XML sitemap either.

An XML sitemap usually contains a broad list of website pages that search engines may want to crawl and index. Depending on the website, that could include service pages, products, articles, categories, case studies, landing pages, and other public resources.

The sitemap is designed to provide coverage.

An llms.txt file is designed to provide focus.

A website might have an XML sitemap containing 500 URLs but an llms.txt file containing only 15 or 20 carefully selected resources. The sitemap tells a crawler what exists. The llms.txt file attempts to explain what matters most.

For Lowe Design, an XML sitemap might include every blog article, project, service, and supporting page. Its llms.txt file should be much more selective. It could point towards the main service pages, a handful of important case studies, the about page, contact information, and several particularly useful articles.

The intention isn’t to create another complete website directory. It’s to create a useful briefing document.

What is llms-full.txt?

You may also come across references to llms-full.txt.

While llms.txt provides a concise overview and links to important resources, llms-full.txt is generally used to provide a larger body of website content in one AI-readable document. It may contain the complete text from multiple pages, organised into a single file that can be loaded into a language model or agent.

The shorter file acts as the map.

The fuller file acts more like the collected source material.

For a large documentation website, that can be useful. A developer could provide an AI coding assistant with a complete body of technical information without requiring it to visit each page individually.

For a small business website, llms-full.txt may be unnecessary. It could also become difficult to maintain if content changes regularly.

A focused llms.txt file is usually the more realistic starting point.

Is llms.txt an official web standard?

This is where some of the marketing around llms.txt gets ahead of reality.

It’s a proposal, not a universally adopted web standard.

It doesn’t currently have the same established status as robots.txt, XML sitemaps, canonical tags, or Schema.org structured data. There’s no guarantee that every large language model, search engine, or AI assistant actively looks for the file.

There’s also no universal agreement about how the information should be processed.

The original proposal deliberately avoids prescribing a single method because different applications may use the file differently. One AI agent might read it directly. Another might use it to collect linked resources. Another might ignore it completely.

That doesn’t make llms.txt meaningless.

Plenty of useful web conventions begin as proposals before wider adoption. The important point is that businesses should understand what it is today rather than what someone trying to sell an “AI SEO package” claims it might become tomorrow.

It’s an interesting and inexpensive experiment.

It isn’t a guaranteed visibility tool.

Does llms.txt improve search engine optimisation?

There’s currently no strong evidence that adding an llms.txt file directly improves traditional search rankings.

It won’t automatically move a website higher in Google. It won’t compensate for weak content, poor technical performance, thin service pages, or a lack of external authority.

Google’s guidance states that websites don’t need to create special AI text files, machine-readable files, or new forms of Markdown to appear in Google Search or its generative AI experiences. Google has also said that its search systems don’t use llms.txt as a special mechanism.

That’s a fairly important reality check.

If someone tells you that every business urgently needs an llms.txt file or it will disappear from Google’s AI results, they’re overselling it.

The file may still have value for other tools, agents, development workflows, or future systems that choose to support it. But it shouldn’t be treated as a ranking switch.

SEO is still built on stronger foundations: crawlable pages, technically sound websites, useful content, clear internal linking, good performance, relevant external mentions, and information that genuinely answers the questions people are asking.

An llms.txt file can sit on top of that foundation.

It can’t replace it.

What about answer engine optimisation?

The conversation becomes more relevant when we move beyond traditional search engine optimisation and into answer engine optimisation.

Answer engine optimisation, often shortened to AEO, focuses on making information easier for search engines and AI systems to understand, extract, and use when answering questions.

That means building pages around clear topics, defining products and services properly, answering specific customer questions, using meaningful headings, creating strong entity relationships, maintaining consistent business information, and publishing content that can be quoted without losing its meaning.

An llms.txt file fits naturally into that wider approach because it attempts to provide structured context about a website.

However, it’s only one small part of the work.

A business doesn’t become easier for AI to understand simply because it publishes a text file. The website itself must still explain the business clearly.

For example, Lowe Design’s AEO visibility is more likely to benefit from having a dedicated page that properly explains answer engine optimisation than from adding a single line about AEO to llms.txt.

The file can point towards that page. It can describe why the page is useful. It can help a supporting tool locate it.

But the page is where the real substance lives.

Can llms.txt make ChatGPT recommend your business?

It can’t guarantee that ChatGPT—or any other artificial intelligence platform—will recommend, mention, or cite a business.

That’s one of the biggest misconceptions surrounding the format.

An AI system may decide which sources to use based on a wide range of factors, including relevance, crawlability, external authority, information quality, user intent, and whether the source can support a particular claim.

The website owner’s own description of the business is useful, but it isn’t independent evidence.

Lowe Design could publish an llms.txt file stating that it’s the best web design agency in Northern Ireland. That wouldn’t make the claim objectively true, and an AI system shouldn’t treat it as proof.

The same principle applies to any business.

You can explain what you do. You can identify your services. You can provide accurate information about locations, experience, processes, and project types.

You can’t use llms.txt to award yourself authority.

Real authority is built through strong work, credible case studies, useful content, customer feedback, press coverage, professional profiles, relevant citations, and consistent mentions across trusted external sources.

The file can organise your claims.

It can’t validate them.

Who could benefit most from llms.txt?

The clearest use cases are websites containing large quantities of structured, complex, or technical information.

Software and documentation platforms are obvious examples. A developer using an AI coding assistant may need quick access to installation instructions, application programming interface documentation, version details, authentication requirements, code examples, and known limitations.

An llms.txt file can provide an organised route through those resources without forcing the model to crawl the entire documentation platform.

Software-as-a-Service businesses may also find it useful. Their file could identify product documentation, pricing, feature descriptions, integrations, account permissions, support resources, security information, and implementation guides.

Ecommerce websites could use it to highlight product categories, buying guides, returns information, delivery policies, warranty details, and sizing resources. However, they would need to be particularly careful about time-sensitive information such as pricing and stock availability.

Universities, public-sector organisations, and large membership bodies may also benefit because their websites often contain a huge amount of information spread across departments, policies, forms, guides, and archived resources.

For a professional service business such as Lowe Design, the benefit is likely to be smaller but still potentially useful. The file could provide a clean summary of the agency, its services, its location, the clients it works with, and the pages that best demonstrate its experience.

The effort required is relatively low.

The expected impact should remain realistic.

Could llms.txt help local businesses?

It could provide useful context, but it shouldn’t be anywhere near the top of the priority list for most local businesses.

A local business would usually gain more from improving its actual website, maintaining an accurate Google Business Profile, collecting genuine customer reviews, publishing strong location-specific service pages, improving local citations, and ensuring its contact information is consistent across the web.

Those are established visibility factors.

An llms.txt file is still experimental.

That said, a local company could use the file to make important information clear. It might explain where the business is based, which towns or regions it serves, what services it offers, how customers can book, and where opening hours or accessibility information can be found.

For example, Lowe Design could make it clear that the agency is based on the North Coast of Northern Ireland while working with businesses across the UK and remotely.

That’s useful context because it prevents a language model from incorrectly assuming that the agency only works with businesses in Coleraine or Northern Ireland.

But once again, the website itself should already communicate that clearly.

llms.txt reinforces good information. It doesn’t rescue missing information.

What can’t llms.txt do?

The easiest way to understand llms.txt is to understand its limits.

It can’t guarantee that an AI crawler will visit the file. It can’t force a language model to follow its links. It can’t guarantee that your business will be mentioned in an AI-generated answer, and it can’t force a system to cite your website.

It won’t improve bad content. It won’t repair a confusing website structure. It won’t make an inaccurate claim become reliable, and it won’t prevent an AI system from hallucinating.

It can’t replace robots.txt, an XML sitemap, canonical URLs, structured data, technical SEO, or a strong internal linking system.

It also can’t prevent your content from being used for AI training. Businesses concerned about crawler permissions need to investigate the relevant robots.txt controls and the policies of individual AI providers.

Most importantly, llms.txt can’t create trust.

A business earns trust through the quality and consistency of the information available about it—not by adding another file to the server.

The risk of giving AI outdated information

There’s an obvious weakness in the format: it creates another piece of content that needs to be maintained.

Imagine a business updates its services, changes its pricing structure, removes a product, moves to a new location, or changes an important policy. The website is updated, but the llms.txt file is forgotten.

The file could then direct artificial intelligence systems towards an outdated page or describe a service that no longer exists.

That means the format designed to improve clarity could end up reinforcing inaccurate information.

For Lowe Design, the file would need reviewed whenever the agency adds a new service, changes its positioning, updates page URLs, publishes an important case study, or restructures the website.

That maintenance doesn’t need to be complicated. But it does need to be part of the website workflow.

An outdated llms.txt file is worse than no file at all because it gives old information an appearance of authority.

Should every website page have a Markdown version?

The original llms.txt proposal suggests that useful pages could provide clean Markdown versions. These would normally be accessible by adding .md to the page URL or following an equivalent convention.

The idea is that an AI system could access the substance of the page without processing the full HTML version.

For example, a service page might exist at:

https://lowedesign.io/services/websites

A machine-readable version could potentially be made available at:

https://lowedesign.io/services/websites.md

That version could contain the page title, introductory content, service explanation, process, frequently asked questions, and relevant links without the navigation, styling, animations, forms, scripts, or footer.

This could be valuable for technical documentation or knowledge-heavy websites where accuracy and efficient retrieval are critical.

For a typical small business website, however, creating a Markdown copy of every page may create more work than value.

There’s little point building and maintaining a parallel version of the entire website unless systems are actively using it.

A more practical approach would be to begin with llms.txt and consider Markdown versions only for genuinely important or complex pages.

How to create a genuinely useful llms.txt file

A good llms.txt file should be written deliberately.

Automatically dumping every sitemap URL into the file misses the point. The result may technically exist, but it won’t provide the focus or context the proposal is designed to offer.

Start with a plain-English description of the website. Avoid slogans and vague positioning statements that sound impressive but don’t explain anything.

For example, this would be weak:

Lowe Design creates innovative digital experiences that help ambitious brands thrive in an ever-changing world.

It sounds polished, but it gives a machine very little concrete information.

This is clearer:

Lowe Design is a web design and branding agency based on the North Coast of Northern Ireland, providing branding, custom websites, SEO, and AEO services to businesses across the UK.

The second version identifies the organisation, the business type, the location, the services, and the geographic market.

Clear wins.

The file should then link to authoritative pages. For Lowe Design, the dedicated branding page is likely to be more useful than a short homepage section mentioning branding. The full AEO service page should be more useful than a blog tag containing several loosely related articles.

Each link should also include a brief description.

A link called “Services” doesn’t explain much. A link called “Website Design and Development” followed by a description of bespoke design, development, performance, user experience, and conversion gives the language model far more useful context.

Secondary information should be placed under the Optional heading. In the original proposal, this heading has a specific purpose: links under it may be skipped when a shorter context is required.

That makes it useful for blog content, supplementary guides, supporting documentation, or resources that may help but aren’t essential to understanding the organisation.

A more complete llms.txt example for Lowe Design

The precise URLs would need checked against the final live website structure, but a developed version could look like this:

Lowe Design

Lowe Design is a web design and branding agency based on the North Coast of Northern Ireland, working with businesses across the UK and remotely.

Lowe Design solves business problems through branding, custom websites, search engine optimisation, and answer engine optimisation. These services are developed as one connected system designed to improve how a business is positioned, how its website performs, and how easily potential customers can find it through traditional search engines and AI-powered platforms.

The agency works with growing businesses, established organisations, and companies that need clearer branding, stronger digital performance, and a website built around measurable commercial goals.

Core Services

• Branding: Brand strategy, visual identity design, logo systems, brand guidelines, and supporting creative assets developed around the commercial position of the business.
• Website Design and Development: Bespoke websites designed and developed around usability, performance, conversion, search visibility, accessibility, and the needs of the customer.
• Search Engine Optimisation: Technical and content-led SEO services designed to improve organic rankings, search visibility, website structure, and qualified traffic from Google.
• Answer Engine Optimisation: AEO services designed to improve how clearly a business is understood and referenced by answer engines and AI-powered platforms such as ChatGPT, Perplexity, and Google AI.

Agency Information

• About Lowe Design: Information about the agency, its design experience, its business-focused approach, and how projects are delivered.
• All Services: A complete overview of Lowe Design’s branding, website design, SEO, and AEO services.
• Selected Work: Case studies and selected examples of branding, web design, and digital projects completed for clients across multiple industries.
• Contact Lowe Design: Project enquiry information for businesses interested in branding, website design, SEO, or AEO services.

Website and Project Information

• Frequently Asked Questions: Answers about website costs, typical project timescales, working with clients outside Northern Ireland, and the differences between custom agency work and AI website builders.
• Website Design Process: Information about the discovery, strategy, structure, design, development, content, testing, SEO, and launch stages used during website projects.
• New Row Dental Website Project: A website design and development project demonstrating the agency’s approach to structure, performance, content, and customer conversion.

Business Details

Lowe Design is based on the North Coast of Northern Ireland and works with clients throughout Northern Ireland, across the UK, and remotely.

Project enquiries can be sent to enquiries@lowedesign.io.

The agency provides fixed project quotations based on the required scope, complexity, page count, functionality, content, integrations, and level of search optimisation required.

Optional

• Lowe Design Blog: Articles and practical guidance covering branding, custom websites, SEO, AEO, artificial intelligence, design, and digital business growth.

This is far more useful than a raw list of URLs because it explains the business as well as the content structure.

It also avoids trying to manipulate the AI system with unsupported claims.

The file doesn’t say that Lowe Design is definitely the best agency in Northern Ireland. It gives the system accurate information that can help it understand when Lowe Design may be relevant to a user’s question.

How should an llms.txt file be tested?

Publishing the file is only the first step.

It should be opened in a browser to confirm that it’s publicly accessible and returned as plain text or Markdown. Every linked page should be checked, and redirected or broken URLs should be removed.

The content can then be copied into different language models and tested using realistic questions.

For Lowe Design, that could include asking what services the agency provides, where it’s based, whether it works with clients outside Northern Ireland, what the difference is between its SEO and AEO services, and whether it can handle both a rebrand and a new website.

The model’s answers should then be checked against the actual website.

Where the answer is vague, incomplete, or wrong, the problem may be in the llms.txt file—but it may also reveal a wider content issue on the website.

That’s one of the format’s potentially useful side effects.

Creating the file forces the business to ask whether its services and positioning are actually explained clearly.

Should WordPress websites use an llms.txt plugin?

Several plugins and SEO platforms have started adding llms.txt functionality.

That makes implementation easier, but automation should be treated carefully.

A plugin may generate a file by collecting website URLs, page titles, descriptions, or content extracts. The result may comply with the expected format while still being strategically poor.

A useful llms.txt file requires editorial judgement.

Which pages best explain the business? Which articles are current? Which case studies demonstrate the most relevant experience? Which information is essential, and which is optional?

A plugin can generate the file.

It can’t necessarily decide what deserves to be in it.

The best approach may be to generate an initial version automatically and then rewrite it manually. That keeps the technical setup simple without surrendering control over the content.

Does a small business need llms.txt today?

For most small businesses, it isn’t essential.

A business with a limited budget should prioritise the work that has a clearer and more established effect on visibility and enquiries.

That includes writing strong service pages, improving website speed, resolving technical SEO problems, creating useful local content, maintaining accurate business information, earning customer reviews, publishing credible case studies, and making the website easier to use.

Those improvements help real customers now.

They also help search engines and AI systems understand the business.

Once those foundations are in place, adding an llms.txt file is a relatively small extra step. It costs little to create, creates minimal technical risk when maintained correctly, and may become more useful if adoption grows.

That makes it reasonable to test.

Just don’t confuse “reasonable to test” with “critical to survival”.

The real lesson behind llms.txt

The most important part of llms.txt may not be the file itself.

It’s what the proposal reveals about the direction of the web.

Websites are no longer being experienced only through a visual interface. Their information is being retrieved, summarised, compared, quoted, and repackaged through AI systems.

That puts more pressure on businesses to communicate clearly.

A clever headline may look good on a homepage, but can it be understood without the design?

Does the website clearly state what the company does?

Are the services given dedicated pages?

Is the location explained consistently?

Are prices, timescales, limitations, and processes available in plain language?

Can a paragraph be quoted without losing its meaning?

Are important facts written as actual text, or are they buried inside graphics and videos?

Is the information consistent across the homepage, service pages, social profiles, directories, and external websites?

These questions matter whether llms.txt succeeds or disappears.

Artificial intelligence systems benefit from clear content, but so do people.

Good headings help both.

Useful service pages help both.

Descriptive links help both.

Accurate frequently asked questions help both.

Logical website structure helps both.

The strongest answer engine optimisation strategy isn’t to make a website less human. It’s to remove the ambiguity that makes the website difficult for anyone to understand.

Is llms.txt worth implementing?

For large documentation websites, software companies, universities, ecommerce platforms, and content-heavy organisations, it may be worth implementing now.

The potential value is clearer because those websites contain large volumes of information that can be difficult for an artificial intelligence system to navigate efficiently.

For a smaller service business, the value is more speculative.

However, the implementation cost is also low. A carefully written file can be created without redesigning the website or changing the customer experience.

That makes the decision relatively straightforward.

Add it when the website foundations are already strong. Maintain it properly. Test whether it’s being accessed. Watch how support develops across AI platforms.

But don’t sell it—or buy it—as a magic solution.

Final thoughts

llms.txt is a sensible proposal aimed at a genuine problem.

Websites are often complicated. Language models need concise context. Giving them a curated, human-readable summary of the website and its most important resources is a logical idea.

Whether the format becomes a lasting web standard is still unclear.

Google has stated that it doesn’t require or specially use llms.txt for its search and generative AI systems. Other major platforms haven’t provided universal guarantees that publishing the file will improve visibility, recommendations, or citations.

That means businesses need to remain realistic.

An llms.txt file won’t make a weak website authoritative. It won’t replace proper SEO. It won’t force ChatGPT to recommend a business, and it won’t repair unclear positioning.

What it can do is make an already well-structured website easier to summarise and navigate—provided an AI system chooses to use it.

The practical approach is simple.

Build a clear website. Explain the business properly. Create strong service pages. Publish useful information. Keep the content accurate. Earn credible mentions beyond your own domain.

Then add llms.txt as another layer.

Not because it guarantees anything.

Because the web is changing, the cost of testing is low, and making your business easier to understand is rarely a bad move.