Services
Will AI recommend your brand?
AI search is changing how customers discover, compare and choose. Brands now need to be easy to find, understand and verify before they can be recommended.
The shortlist can form before the click
AI is changing the customer journey.
People still use traditional search, but a growing part of the journey now takes place inside AI-generated answers. Customers can ask detailed questions, compare alternatives and narrow down their options before visiting a website.
That changes the question brands need to ask.
It is no longer only:
“Do we rank on Google?”
It is also:
“Will AI understand, include and recommend our brand?”
Traditional search usually presents a list of sources for the user to explore. AI-powered search can interpret the question, gather information from several sources and present a direct answer.
Google explains that its AI features can divide a question into several related searches before combining the findings. ChatGPT can similarly help users compare products and suppliers based on their needs, preferences and constraints.
This means part of the consideration process can happen before a potential customer reaches your website. By the time they click, they may already have compared alternatives and formed a shortlist.
The website has not become less important. The quality, clarity and accessibility of its information have become more important.
AI Search is not a shortcut around SEO. Google’s AI features are built on its existing search and quality systems. There is no special markup, AI file or isolated GEO trick that guarantees visibility. Strong technical foundations and genuinely useful content remain central.
A brand must be understood before it can be recommended
Appearing in AI-powered search depends on more than mentioning the right keywords. The systems need enough clear and reliable information to understand what the business offers, who it is relevant for and why it may deserve a place in the answer.
Four areas matter in particular.
1. Technical accessibility
Search and AI systems must be able to access and process the information.
For Google’s AI features, a page still needs to be crawlable, indexed and eligible to appear in Search. For content to appear clearly in ChatGPT Search, the website should not block OpenAI’s OAI-SearchBot.
Technical SEO remains the foundation. If important information cannot be accessed or understood, it is unlikely to become part of an answer.
2. Clear information about the business
A website should make it easy to understand:
What the company offers
Who its products or services are for
Which needs they solve
Where the company operates
What makes the offer different
What the customer should expect
Vague brand language gives both customers and AI systems less useful information to work with. Clear service pages, product information, comparisons and answers to genuine customer questions create a stronger foundation.
3. Useful and original content
Publishing more content is not automatically better.
Google specifically recommends useful, original and experience-led content rather than large amounts of generic material that could have come from anywhere. The strongest content adds knowledge, evidence or a point of view that contributes something new.
The goal is not to rewrite every page for an algorithm. It is to make the company’s real expertise easier to find and understand.
4. Accurate product and business data
For e-commerce companies, visibility also depends on the quality of the underlying product data.
ChatGPT may use product descriptions, prices, availability, reviews and merchant information when presenting and comparing products. OpenAI also supports product information supplied through merchants and external providers.
Incomplete or outdated data can therefore affect more than advertising feeds. It can influence how products are represented during discovery and comparison.
Being mentioned is not the same as being chosen
AI visibility should not be reduced to counting mentions.
A brand can appear in an answer without being presented accurately. It can be included for the wrong type of customer or lose the recommendation when the question becomes more specific.
The important questions are:
Is the brand visible for commercially relevant questions?
Is the information accurate?
Are the right products or services being presented?
Which sources influence the answer?
Does the visibility lead to qualified traffic and business results?
There is no single universal ranking position for AI-generated answers. The response can change with the question, context and available information. Measurement therefore needs to look at patterns rather than one isolated prompt.
Measurement is becoming more useful
Google now provides reporting for generative AI visibility through Search Console. ChatGPT also uses UTM parameters in referral links, allowing visits from ChatGPT Search to be identified in analytics.
These signals should be evaluated alongside traditional search performance, website behaviour, conversions and commercial results.
At Omniso, the available data is brought together in Omniso 360. This helps us connect changes in visibility with what happens further through the customer journey and prioritise the work that matters most.
How Omniso approaches SEO and AI Search
We do not treat AI Search as a separate collection of fashionable tactics.
Our work combines content, technical foundations and authority. We analyse what potential customers are looking for, how the brand currently appears, which information is missing and what prevents search and AI systems from understanding the business correctly.
That work can include:
Search demand and intent analysis
Technical accessibility and indexation
Content and information gaps
Product and business data
Important third-party sources
Traditional and AI-powered search visibility
Traffic, conversions and business outcomes
The findings become a prioritised action plan. As search behaviour, competitors and AI systems change, the plan develops with them.
The brands that are easiest to understand have an advantage
AI is not removing the need for strong websites, useful content or established brands. It is increasing the value of being clear, accessible and credible.
The brands most likely to benefit are not necessarily those using the most AI terminology. They are the brands that make their expertise, products and value easy to understand and verify.
The question is no longer only whether customers can find your brand.
It is whether the systems helping them decide understand why they should choose it.
FAQ
Is AI Search replacing traditional SEO?
No. Google states that its generative AI features are rooted in its existing search ranking and quality systems. Technical SEO, useful content and clear information remain essential.
What is the difference between SEO, AEO and GEO?
AEO and GEO are terms used for work focused on visibility in AI-generated answers. Google’s position is that optimising for its generative AI features is still part of SEO. The terminology may change, but the foundations remain closely connected.
Can a company guarantee that AI will recommend our brand?
No. AI systems decide which sources and brands to include, and their answers can change depending on the question and context. Work can improve accessibility, clarity and relevance, but no serious provider should guarantee inclusion or recommendations.
How can AI Search visibility be measured?
Google provides generative AI reporting in Search Console, while traffic from ChatGPT Search can be identified through its referral links. These signals can be combined with recurring prompt analysis, website traffic, conversions and commercial results.
Does blocking GPTBot prevent a website from appearing in ChatGPT Search?
Not necessarily. OpenAI uses different controls for different purposes. GPTBot relates to potential model training, while OAI-SearchBot controls whether content can be discovered and used in ChatGPT Search summaries and snippets.
Will AI recommend your brand?
We can review how your brand appears across traditional and AI-powered search, then turn the findings into a prioritised action plan.

