What is AI SEO and how to appear in AI answers

What is AI SEO, how does it work and what can it do for your business?

A guide for business owners, CTOs, marketing managers and sales teams.

The basics: what AI SEO is and why it matters

1. Introduction: the way people search for information is changing

For many years, when someone needed to find a product, hire a service provider or solve a problem, they went to Google, typed in a few words and looked through the results.

For example, if you needed a cybersecurity firm, you probably searched for something like:

"Cybersecurity companies for businesses".

Google returned a list of web pages and you decided which ones to visit.

Today you can do something different. You can open ChatGPT, Gemini, Copilot or an AI-powered search engine and type:

"I run a 40-person company, we use Microsoft 365 and we need to improve our IT security. What services should we buy, and what should we look for when choosing a provider?"

The AI can analyse the question, search for information, compare options and put together an answer that includes explanations, recommendations and links to providers.

That is a significant shift for businesses.

Until recently, much of the competition online was about appearing among the top search results. Now it also matters whether AI systems can discover, understand, cite and, where appropriate, recommend your company.

There is, however, a difference between being cited in an answer and being recommended commercially. A system may use your content as a source without recommending your services.

There is also an important economic shift: people can get an answer without visiting a single website.

A Pew Research Center study published in July 2025, based on the browsing data of US adults, found that when an AI summary appeared in Google, users clicked on a traditional result in 8% of the visits analysed, compared with 15% when no summary appeared. This is an observed association, not proof that AI alone accounts for the whole difference.

That is why the modern goal should not be limited to winning visits.

It should also cover visibility, trust, lead generation and measurable sales.

2. What exactly is AI SEO?

AI SEO stands for Artificial Intelligence Search Engine Optimisation, although the industry has no single agreed definition of the term.

It is usually used to describe two related but distinct activities.

2.1. Using artificial intelligence to improve SEO

This means using AI tools to carry out search optimisation tasks more efficiently.

For example:

• Researching what your customers search for.
• Spotting ranking opportunities.
• Analysing competitors' pages.
• Improving the structure of your content.
• Identifying technical issues.
• Drafting and optimising articles.
• Analysing how your strategies are performing.

Here, AI is a working tool for improving your rankings.

2.2. Optimising your website for AI search engines and assistants

This second meaning is particularly important for the future of search.

The aim is to increase the chances that platforms such as Google AI Overviews, Google AI Mode, ChatGPT Search and Microsoft Copilot find and use information about your company.

For example, imagine your company specialises in e-invoicing systems.

Someone asks:

"What do I need to connect my business management system to KSeF in Poland?"

Your website contains a clear, technically accurate and up-to-date explanation covering the integration, the requirements, common mistakes and your professional services.

An AI search engine could find that content, use it as a reference and show a link to your site.

That is what AI SEO sets out to achieve: improving your ability to be discovered and considered within these new search experiences.

That said, no optimisation can guarantee that an AI will cite or recommend your company.

2.3. SEO, AEO and GEO: are they the same thing?

These concepts overlap. They do not necessarily represent five separate technology services.

In fact, in May 2026 Google published specific guidance on optimising for generative search. Its position is clear: traditional SEO best practice remains the foundation, and you do not need a set of special tricks to appear in its AI experiences.

In business terms, AI SEO can be understood as a strategy that combines three goals:

• Being found: technical SEO, useful content and search visibility.
• Having your information understood and used: verifiable content, topical clarity and presence in AI-generated answers.
• Turning visibility into business: enquiries, contacts, opportunities, customers and sales.

A) The perspective of someone who wants to implement AI SEO on their website

3. Why should you consider implementing AI SEO?

Imagine your company has had a website for five years. You have invested in design, photography, content, SEO and possibly advertising.

Your site works well, but you have a problem: you do not know whether the new AI tools are finding your company when someone needs your products or services.

Your competitors may be appearing in AI-generated answers while your business is nowhere to be seen.

The opposite can also happen: you may already be cited, but have no way of knowing it.

AI SEO aims to work on exactly these opportunities.

3.1. What benefits could you gain?

Greater online visibility. Your business can increase its presence in traditional search engines and aim to appear as a source in AI-generated answers.

A stronger perception of authority. When you publish rigorous, verifiable and relevant information, users may come to see your company as a reliable source. Being cited can reinforce that perception, although it is not a certificate of quality.

Potentially better-informed customers. If someone reaches you after researching their options with AI, they may understand their problem and the features of the service they need more clearly.

Less dependence on paid advertising. An effective organic strategy can generate opportunities without paying for every click. This does not mean SEO is free, nor that it necessarily replaces advertising.

Making the most of your current website. Many improvements can be made to your existing site without rebuilding it.

Better knowledge of your customers. Researching searches and frequently asked questions helps you identify needs, doubts and barriers to purchase.

4. Do you need a new website?

In most cases, no.

If you currently use WordPress, WooCommerce, Shopify, Webflow or a custom build, you can implement an AI SEO strategy on your existing infrastructure.

You do not have to subscribe to an AI API, install a chatbot or develop your own language model.

AI SEO is primarily an online visibility strategy, not a feature you switch on by installing a piece of software.

For example, if your website is built with WordPress and Elementor, you could keep its design entirely while improving:

• The commercial information about your services.
• The navigation architecture.
• The structure of headings and content.
• The page metadata.
• The structured data.
• The internal linking between pages.
• Performance and accessibility.
• The information that clearly identifies your company.
• How visibility and conversions are measured.

Whether you need to change any code will depend on how your website is built.

5. How does AI SEO work in practice?

Take a company that offers storage services for businesses.

Its current website has this description:

"We offer quality storage solutions, tailored to your needs and with excellent service".

The text is not necessarily wrong, but it is generic. Hundreds of companies could say exactly the same.

An optimisation strategy would start by understanding what prospective customers want to know.

For example:

"How much space do I need to store my business's stock?"

"What is the difference between a self-storage unit and an industrial warehouse?"

"Can I rent temporary storage for goods?"

"What should I check before renting a warehouse?"

Rather than publishing repetitive content, the company could produce a useful guide covering available sizes, real capacity examples, restrictions, prices where appropriate, contract terms and criteria for choosing a unit.

The site then stops containing only promotional claims and starts solving problems.

The company could also add genuinely useful tools, such as a space calculator, a capacity comparison or an up-to-date catalogue.

This kind of content can be valuable for visitors and easier for search systems to retrieve as a reference.

5.1. The difference between writing to sell and writing to solve

This is not about removing commercial content, but about complementing it with information that helps visitors make a decision.

6. Which areas of your website should be optimised?

A full implementation normally reviews five areas.

6.1. Content

Your pages should explain precisely what you do, who you help, what problems you solve and why your solution matters.

This is where specialists in your business, copywriters, SEO experts and AI can work together.

AI can help with research, classifying questions, structure and drafts, but a competent person must validate the information you publish.

6.2. Technical structure

The site must allow search engines to find and interpret its information.

This includes elements such as correct URLs, sitemaps, indexable pages, appropriate titles and no accidental blocking.

6.3. Identity and trust

A search engine needs to understand which entity your site represents.

To help it, keep your business information consistent: trading name, activity, location where relevant, contact details, authors, track record and official profiles.

This is not about inventing credentials, publishing fake reviews or manufacturing mentions.

6.4. User experience

A fast, clear, accessible and easy-to-navigate page can improve the experience of the people who land on it.

A site that is hard to use can waste commercial opportunities even if it achieves excellent visibility.

6.5. Commercial conversion

A page can receive thousands of visits and not produce a single sale.

That is why there must be a clear link between the content and the next step you want the visitor to take: requesting a quote, booking a demo, getting in touch by phone, filling in a form or making a purchase.

7. What results can you expect, and how soon?

There is no universal timeframe for results.

Some technical fixes can resolve existing problems quickly, although search engines may take time to recrawl and reindex the pages.

Changes in rankings, topical authority and commercial results usually require sustained work over several months.

Results depend on factors such as competition, domain age, site quality, market demand and the resources allocated to the project.

It would not be responsible to promise you a specific position in Google, or that ChatGPT will recommend your company.

A professional implementation should establish a baseline, carry out improvements and measure the changes.

B) The CTO's perspective: is AI SEO feasible to implement?

8. What should a CTO assess before approving the project?

From a CTO's point of view, the question is not only whether AI SEO can add value.

You also need to know what infrastructure it requires, what risks it involves, how it will be integrated and how much it will cost to maintain.

The good news is that an AI SEO strategy does not necessarily require replacing the CMS, migrating servers or bringing AI into the company's operational processes.

Most projects start by making use of infrastructure that is already in place.

9. Stage one: technical audit

Before making any changes, you need to establish the actual state of the site.

An audit may also uncover pre-existing problems that are holding back your rankings.

This matters because there is no point producing dozens of new articles when the site has errors that prevent them from being indexed.

10. Which technologies are involved?

10.1. Semantic HTML

Websites use HTML to organise information.

A clear structure helps identify headings, sections, paragraphs, links and key elements.

You do not need to know HTML to benefit, but the technical team must make sure the page can be interpreted.

10.2. Structured data and Schema.org

Structured data is organised information that helps systems interpret the meaning of certain elements.

For example, it can describe an organisation, product, article, business location or service.

It is usually implemented using JSON-LD.

Google confirms that this data can help enable certain rich results. However, there is no special Schema.org markup that guarantees an appearance in Google's generative answers.

A common mistake is installing several plugins that generate duplicate, contradictory or incorrect structured data.

That should be avoided.

10.3. Robots, crawlers and indexing

Search engines use automated programs to visit public pages.

Each platform may run different crawlers.

For example, the company behind ChatGPT distinguishes between:

• OAI-SearchBot, used to surface websites in ChatGPT's search features.
• GPTBot, used to crawl content that may be used to train its models.
• ChatGPT-User, which visits pages in response to user-initiated actions; according to OpenAI, robots.txt rules may not apply to these visits.

Search and training can be controlled with separate directives in robots.txt. Allowing OAI-SearchBot does not mean authorising GPTBot.

For technical leadership, this raises an important decision: which content you want to make discoverable and which you want to restrict.

Not all AI services use the same access mechanisms.

10.4. Site performance

Optimisation should also take into account speed, visual stability, response time and interactivity.

These aspects are usually assessed using a set of metrics known as Core Web Vitals.

A site with serious performance problems can harm the visitor experience, regardless of its content strategy.

10.5. Integration with measurement platforms

At a minimum, consider:

• Google Search Console.
• Google Analytics 4 or another analytics solution.
• Bing Webmaster Tools.
• SEO audit tools.
• A system for tracking enquiries and conversions, ideally integrated with your CRM.

Not all of these services are mandatory. Which ones you choose depends on your objectives and the size of your operation.

11. How can you actually measure AI visibility?

This area has moved on considerably now that the platforms themselves offer dedicated reports.

Google Search Console

On 31 August 2026, Google completed the global rollout of its dedicated generative AI performance reports. They show impressions in AI Overviews and AI Mode, along with pages, devices, countries and trends over time. Not every site will necessarily see the report if it does not yet have enough data.

Bing Webmaster Tools

In February 2026 Microsoft launched AI Performance as a public preview, and in June 2026 it added metrics such as Citation Share, topics and search intents. This lets you see how content is cited in Copilot, in Bing's AI summaries and in certain partner integrations.

ChatGPT and other platforms

You can analyse referral traffic, landing pages and conversions. You can also run regular tests on relevant queries to check for citations and mentions, bearing in mind that results vary and these tests do not represent every real conversation.

The CTO must distinguish between official platform data, data from your own analytics and estimates from commercial tools.

They are not equivalent.

For example, a GEO monitoring platform might put a hundred questions to an assistant and record how many times it mentions a particular brand.

That works as a visibility indicator within that sample. It does not prove that the brand appears in the same percentage of all users' real conversations.

12. Do you need your own AI model?

Generally, no.

There are three levels of implementation.

The third option can be useful for companies with many sites, several languages, large catalogues or complex editorial processes.

However, building a custom platform for a ten-page corporate website would probably be disproportionate unless there is a genuine operational need.

13. Automation: what you can do, and what you should not delegate

AI can help automate tasks such as identifying pages with errors, clustering queries, generating editorial proposals, spotting outdated content and preparing reports.

It can also generate recommendations for internal links, metadata and improvement opportunities.

But it is not advisable to delegate tasks like these without supervision:

• Publishing content in bulk.
• Changing URLs or redirects.
• Deleting existing pages.
• Altering business information.
• Changing products and prices.
• Updating legal or technical documentation.
• Installing and modifying server components.

An automated system could publish incorrect information, generate duplicate pages or disrupt an architecture that was already working.

That is why it is advisable to build in human review, limited permissions, test environments, backups, logs and rollback mechanisms.

Google explicitly warns that using AI to produce large numbers of pages without adding original value may breach its policies on scaled content abuse.

14. Security, privacy and maintenance

AI SEO should not become a gateway to new cybersecurity problems.

When selecting external tools, review their permissions, authentication mechanisms, data storage and contractual terms.

If customer data, sales conversations or CRM records are analysed using AI services, you will need to review the applicable data protection obligations, particularly the GDPR where relevant.

The credentials granted to plugins or providers should also be limited.

An AI SEO system does not need unrestricted access to your sales databases to audit public content.

15. How do you approve an AI SEO project technically?

The most sensible approach is to treat it as a continuous improvement programme with verifiable deliverables, not as a one-off technology installation.

Indicative implementation roadmap: 90 days

The timeframe is a planning reference, not a guarantee of rankings or commercial results.

The project should deliver documentation of the changes, named owners, KPIs and a maintenance programme.

The CTO's approval will depend on the expected benefit, the effort involved, compatibility and implementation risk.

C) The perspective of marketing, sales and sales directors

16. For marketers: AI SEO as an acquisition and positioning strategy

For a marketing manager, AI SEO widens the range of places where customers can discover a brand.

Traditionally, many digital strategies focused on Google, social media, advertising, email marketing and other acquisition channels.

Now they also need to take conversational search experiences into account.

This does not mean abandoning Google Ads, traditional SEO or social media.

It means recognising that the customer journey is changing.

17. How does AI SEO change the buyer journey?

Imagine someone wants to buy a business management platform.

In the past, they would probably have searched for several options, visited websites and compared the information manually.

Today they might ask an AI assistant:

"I need a CRM for a company with 20 salespeople. I want to automate follow-ups, log conversations and get sales reports. Which options should I evaluate?"

The assistant can set out selection criteria, categories of solutions and providers.

In that scenario, brands try to take part at an early stage of research.

Example of an AI-influenced buyer journey:

1. Customer need: they identify a problem or need.
2. Research in search engines and AI assistants: they look into solutions, criteria and providers.
3. Discovering your brand: they may come across a citation, a link or a reference.
4. Evaluation: they visit your site, compare your offer and review the evidence.
5. Commercial conversion: they request information, ask for a quote or buy.

This flow is illustrative. Some buyers will contact the brand directly, others will keep using traditional search and many will combine several channels.

18. Benefits for the marketing department

18.1. A better understanding of search intent

The words someone uses can reveal which stage of the buying process they are at.

Consider these examples:

AI SEO lets you organise content around these needs.

Intent cannot be determined with absolute certainty from a single phrase, but it helps you prioritise editorial work.

18.2. More complete content strategies

AI-assisted research can identify under-served questions, connections between topics and information needs.

Marketers can use this to build content aimed at different stages of the sales process.

For example, a professional services firm can develop guides, comparisons, case studies, FAQs and specialist pages.

18.3. Getting more out of your existing investment

Rather than always starting from scratch, the team can update pages that already have traffic or authority.

This can include improving information, correcting errors, refreshing examples and adding original insight.

18.4. Building topical authority

Topical authority is a term used in the industry to describe how specialised a site is perceived to be in certain subjects.

It should not be confused with an official Google score.

A coherent strategy aims for your site to cover the important problems in your field with sufficient quality and depth.

18.5. Brand positioning

Quality content can help your company become known for its expertise in a sector.

But presence in AI assistants does not depend solely on your website: other sources, independent publications, public information and the context of each search can all play a part.

That is why a visibility strategy should not be limited to the corporate blog.

19. For salespeople: how can AI SEO help you close more deals?

From a sales perspective, the main benefit is not receiving more visits.

It is winning opportunities with a real need and clearer context.

Imagine you sell regulatory compliance services.

A prospect who gets in touch after reading a specialist article may already have identified certain requirements, risks and needs.

In that case, the salesperson may need to spend less time explaining the basics and more time diagnosing the specific case.

However, this does not happen automatically.

Some prospects will also arrive with incomplete or incorrect information provided by an AI.

That is why AI SEO should complement the sales process, not replace commercial judgement.

19.1. How it can benefit salespeople

Inbound sales. The customer identifies a need and contacts the company after finding useful information.

Better sales context. The page a prospect viewed can indicate which service they are evaluating, provided tracking is carried out lawfully and with respect for privacy.

Less friction in explaining. Specialist content can answer common questions before the first meeting.

Documented sales arguments. Salespeople can share guides, comparisons and cases that back up what they say.

More scope for consultative selling. The conversation can focus on specific requirements, feasibility and business value.

20. For sales directors: what really changes?

A sales director needs to answer different questions from the marketing department.

It is not enough to know whether a page's impressions have gone up.

You need to identify whether digital activity is creating useful opportunities and contributing to revenue.

That requires integration between marketing, analytics and the CRM.

20.1. Metrics to review

A visit from ChatGPT can be a useful data point.

However, if the person later phones or comes back to the site directly, attribution may be incomplete.

That is why it is advisable to complement analytics with CRM data and by asking prospects how they heard about the company.

20.2. Can it reduce acquisition costs?

Potentially, yes.

If organic content generates enough quality opportunities, the cost of acquisition could fall compared with relying exclusively on paid advertising.

But you have to factor in the cost of producing content, maintaining the site, using tools, hiring specialists and following up.

A project that brings in traffic without conversions may turn out to be unprofitable.

21. An example of return on investment

Imagine a company that sells technology services to other businesses.

Its goal is not to reach a hundred thousand visits a month. Its goal is to win more opportunities with companies that genuinely need its services.

So the strategy prioritises pages such as:

"How much does a managed cybersecurity service cost?"

"What should a business hosting service include?"

"How do you know whether a company needs a security audit?"

"What is the difference between a managed and an unmanaged server?"

These pages may attract fewer visits than general articles, but they could connect with more specific commercial needs.

The financial evaluation can be expressed as follows:

ROI = (attributable profit − investment) ÷ investment × 100

The figures in the table are illustrative and only show how to apply the formula.

For a more rigorous estimate, use the contribution margin on the incremental sales attributable to the project, not simply total revenue.

Bear in mind, too, that perfect attribution is rarely possible.

A successful AI SEO implementation must demonstrate commercial value, not just growth in visibility metrics.

D) What actions make up a professional AI SEO strategy?

22. The components of a complete service

A professional project can be organised into these components:

Not every business needs every component at the same intensity.

An e-commerce business may prioritise product pages, availability and commercial data.

A consultancy may prioritise specialist guides, methodology, expertise and case studies.

A local business may first need to improve its information in directories and business profiles.

23. What kind of content is most useful?

The most important thing is not writing excessively long articles.

It is providing information that genuinely helps solve a need.

For example:

Specialist guides. They explain how to solve specific problems.

Comparisons. They help readers understand the differences between technologies, products or services.

Case studies. They show real problems, the work carried out and verifiable results.

FAQs. They answer questions that come up repeatedly during the sales process.

Technical documentation. It provides specifications, processes, requirements or instructions.

Interactive tools. Calculators, configurators and comparison tools that add real value.

Transparent commercial information. Features, terms, availability, indicative prices where appropriate and the scope of the service.

Google particularly recommends original content that offers experience, analysis or information that is not simply a rehash of what is available on other sites.

24. Do you need to publish every day?

No.

Publishing daily does not guarantee better results.

A company may gain more from improving ten important commercial pages than from publishing a hundred superficial articles.

Publishing frequency should follow an editorial strategy and your real capacity to produce quality content.

It is also important to review content you have already published.

An article on regulation, security or technology can go out of date, and that reduces its usefulness to readers.

E) AI SEO myths and questionable practices

25. What to avoid

Myth 1. "If you write all your articles with ChatGPT, you've got AI SEO"

False.

AI-assisted content production is just a tool.

It does not replace strategy, validation, technical SEO or measurement.

Myth 2. "There's a plugin that makes ChatGPT recommend your website"

No plugin can guarantee that recommendation.

A provider can help prepare your site to be discovered, but it does not control what assistants decide.

Myth 3. "The more articles you publish, the higher you rank"

Not necessarily.

Mass-produced content with no added value can be counterproductive.

Myth 4. "You need an llms.txt file to appear in Google AI Overviews"

In its May 2026 guide to generative AI features, Google makes clear that you do not need to create files such as llms.txt to appear in Google Search or its AI features: Search ignores them, and creating them neither helps nor harms your visibility.

Other services may use specific formats, but presenting this file as a universal AI SEO solution would be wrong.

Myth 5. "You have to split every article into small chunks for AI"

This is not a general requirement either.

Organising content well can make it easier to read, but artificially fragmenting it does not guarantee visibility.

Myth 6. "If AI cites my page, a sale is guaranteed"

A citation can bring visibility, but it is not the same as a visit, an enquiry, a recommendation or a sale.

Myth 7. "AI SEO replaces traditional SEO"

No.

Traditional SEO still provides the foundations of discovery, indexing, structure and relevance.

New AI experiences widen the range of situations in which that information is used.

F) Terms you will hear often in the industry

26. Essential glossary

These terms are useful for understanding commercial proposals and technical conversations, although some providers may define them differently.

G) How much does AI SEO cost, and how do you choose a provider?

27. What does the budget depend on?

There is no universal price, because AI SEO is not a single product.

The main cost drivers are the size of the site, technical complexity, languages, the volume and depth of content, competition, the research required and how often maintenance is needed.

It also depends on whether you already have in-house specialists or need an external service.

There are typically three scopes.

The price should be estimated after reviewing the actual state of the project.

28. What should you expect from a provider?

Before you sign, the provider needs to explain what will be improved, how it will be implemented, who is responsible for each stage and how the results will be measured.

A serious provider should be able to present an initial audit or diagnosis, a defined scope, priorities, deliverables and acceptance criteria.

It should also clearly separate what it can control, such as changes to your site, from what it cannot guarantee, such as a specific ranking or a citation by an assistant.

Be particularly wary of promises of guaranteed recommendations in ChatGPT, instant rankings or unlimited content generation as the sole strategy.

H) Which businesses stand to benefit most?

29. Applications by sector

The benefit will depend on how much buyers use online search during their decision-making process.

For a company whose sales come exclusively from private tenders or closed contracts, the impact may differ from that of a company that wins much of its demand online.

I) How can you tell whether AI SEO is working?

30. Measuring visibility is not the same as measuring revenue

Measurement should separate three groups of indicators.

Visibility

Here the aim is to find out whether your content is being discovered, shown or cited.

You can use Search Console for traditional rankings and Google's generative impressions, together with Bing Webmaster Tools for certain Microsoft AI experiences.

Traffic and behaviour

The second level is reviewing who reaches your website, from which sources and what they do there.

You can analyse visits, landing pages, engagement time and conversion events.

Referring platforms do not always pass on complete information about where each visit came from.

Commercial results

Finally, the goal is to know how many qualified opportunities, proposals and sales are being generated.

This last layer requires the sales team's involvement.

A project that only reports published articles and keywords is not giving a complete view of the business impact.

31. Recommended dashboard

The report should let each area assess the results it is genuinely responsible for.

J) AI SEO FAQs

32. Does AI SEO work on WordPress?

Yes. WordPress lets you work on content, technical structure, structured data and measurement. The quality of the implementation depends on configuration and maintenance.

33. Do I need to change hosting provider?

Not necessarily. It would only make sense if your current infrastructure is causing uptime, security, performance or scalability problems that are affecting the project.

34. Does AI SEO work for small businesses?

Yes, provided there is enough online demand to justify the investment.

A small business can start with its core services, local information and priority commercial content.

35. Do I need to pay ChatGPT or Gemini for my company to appear?

There is no general-purpose subscription that guarantees being cited or recommended in their organic answers.

Advertising options, where they exist, should be assessed separately from organic visibility.

36. Can I buy AI SEO without buying advertising?

Yes. They are different activities and can work together or separately.

37. Can my competitors appear when I don't?

Yes. Answers can draw on different sources depending on the query, the context, the information available and how each platform works.

Nor is presence permanent.

38. Can I lose visits because of AI-generated answers?

Yes, some people may get their questions answered without visiting your site.

New opportunities for discovery and visits can also emerge.

That is why you need to analyse visibility, traffic and conversions together.

39. Can I implement AI SEO in several languages?

Yes.

It can be particularly relevant for international companies, but literally translating your content is not enough.

Adapt terminology, services, commercial information and questions to each market. On the technical side, URL localisation and tags such as hreflang must also be handled correctly where they apply.

Conclusion: is AI SEO worth investing in?

It can be, but it should be assessed as a strategic investment in visibility and customer acquisition, not as a purchase of fashionable technology.

For business owners, AI SEO is an opportunity to improve their online presence and connect with customers who research using search engines and AI assistants.

For CTOs, it is a project to optimise content, architecture, accessibility, measurement and integration that can usually be built on existing infrastructure.

For marketers, it means extending the discovery strategy, strengthening the brand and better understanding their audiences' needs.

For salespeople, it can bring better-informed prospects and materials that support sales conversations.

And for sales directors, its real value will depend on whether that visibility helps generate profitable opportunities and revenue.

The shift towards AI-based search does not remove the need for your own website. On the contrary, having original, well-organised, reliable and accessible information remains important if you want to take part in the digital ecosystem.

The difference is that your website should no longer be seen merely as a shop window for products and services.

It should work as a source of useful, verifiable and commercially relevant information, ready both for the people who visit it and for the systems that may discover and use its content.

The ultimate goal of AI SEO is not to get an AI to mention your company once.

It is to build a sustainable online presence that helps prospective customers find you, understand your value proposition and choose you when they genuinely need what you offer.

Sources

• Pew Research Center — Google users are less likely to click on links when an AI summary appears (2025)
• Google Search Central — Optimizing your website for generative AI features on Google Search
• Google Search Central — Search generative AI performance reports in Search Console
• Search Console Help — Generative AI performance report
• Bing Webmaster Blog — AI Performance in Bing Webmaster Tools (public preview, February 2026)
• Bing Search Blog — Intents, Topics, Citation Share and Compare (June 2026)
• OpenAI — Overview of OpenAI crawlers
• Google Search Central — Using generative AI content
• Google Search Central — Spam policies (scaled content abuse)
• Google Search Central — Introduction to structured data