Google AI Search: What Businesses Need to Know in 2026
Updated: September 2026 | ORBA Insights
Google AI search is changing how people discover businesses, research products and find information online. With AI Overviews and AI Mode becoming established parts of Google Search, businesses are no longer competing only for traditional blue-link rankings. Their content can now also be retrieved and presented within AI-generated answers.
And the scale is already significant.
Google reported in June 2026 that AI Overviews had more than 2.5 billion monthly active users, while AI Mode had surpassed one billion monthly active users.
Now Google has taken another important step: website owners worldwide can access dedicated information about their visibility within generative AI features through Google Search Console.
For businesses, this creates a new question alongside traditional SEO:
When someone asks Google AI about your industry, products or services, does Google understand your website well enough to use it as a source?
What is Google AI search?
Google AI search refers to generative AI features within Google Search, particularly AI Overviews and AI Mode, which can synthesise information from multiple web sources to answer complex or conversational queries.
AI Overviews can provide an AI-generated summary above or alongside conventional search results.
AI Mode goes further, allowing people to ask more detailed questions, compare information and continue researching through a conversational experience.
According to Google’s official guidance on generative AI search, these experiences are still connected to Google’s core Search infrastructure rather than functioning as a completely separate search system.
Google uses techniques including retrieval-augmented generation (RAG) to retrieve relevant and current information from its Search index and ground generated responses in web sources.
It can also use something called query fan-out.
Instead of treating a complicated question as one search query, Google can generate multiple related searches across different aspects of the original question before assembling its response.
That potentially changes how businesses need to think about online discoverability.
Google AI search can investigate multiple questions at once
Imagine somebody is researching software for their business.
Traditionally, they might conduct several searches:
* best software for their industry
* software pricing
* software for small businesses
* alternatives to a particular platform
* software reviews
* which platform has a particular feature
With query fan-out, an AI-powered search experience can potentially explore several related areas to help answer one complex question.
Google explains that this technique allows its AI features to search across subtopics and data sources and identify supporting web pages.
This means content doesn’t simply need to match a keyword.
It needs to provide useful information about the topics, questions, entities and relationships surrounding that search.
For businesses, that makes clarity and subject depth increasingly important.
Google has introduced dedicated AI performance reporting
One of the most important Google AI search developments for website owners arrived in 2026.
Google introduced dedicated Search Generative AI performance reports in Search Console.
Initially tested with selected websites, Google confirmed that the functionality had been rolled out worldwide by 31 August 2026.
The reporting provides website owners with dedicated information about their appearance within generative AI features, including AI Overviews and AI Mode.
According to Google, the insights can include:
* impressions within generative AI features
* which website pages appear in AI responses
* countries where those appearances occur
Google says this information continues to contribute to the site’s overall Search performance data while also providing a separate view specifically for generative AI visibility.
For marketers, this is important.
Until recently, measuring whether a website appeared within generative search experiences was considerably less transparent than measuring conventional search rankings and traffic.
The introduction of dedicated reporting makes AI-generated search results a more measurable part of organic visibility.
Is traditional SEO still important for Google AI search?
Yes. Google says traditional SEO remains fundamental to appearing within its generative AI search experiences.
This is an important distinction.
The growth of Generative Engine Optimisation (GEO) and Answer Engine Optimisation (AEO) has created a large amount of discussion about whether businesses need an entirely new approach to website optimisation.
Google’s position is more straightforward.
Its 2026 guidance states that its generative AI features are rooted in existing Search ranking and quality systems.
The company recommends continuing to focus on fundamentals including:
* crawlable and indexable content
* useful, original information
* good page experience
* clear internal linking
* important information available as text
* relevant high-quality images and video
* structured data that accurately represents visible content
Google also explicitly says businesses do not need special AI files or AI-specific markup to appear in AI Overviews or AI Mode.
For example, Google says llms.txt is not required for its generative Search features.
Then what are GEO and AEO?
Generative Engine Optimisation (GEO) describes efforts to improve how content is discovered, understood, selected, cited or used by generative AI systems. Answer Engine Optimisation (AEO) focuses more broadly on making information suitable for systems that directly answer users’ questions.
There is considerable overlap between SEO, AEO and GEO.
For Google AI search specifically, Google considers strong SEO foundations essential.
However, the wider AI ecosystem extends beyond Google.
Consumers can now research companies, products and services through platforms such as ChatGPT, Gemini, Claude and Perplexity.
Different systems can retrieve information differently, use different sources and generate different answers.
That is why businesses increasingly need to think beyond simply asking:
“Where does this page rank?”
They can also ask:
“How clearly can machines understand the information on this page?”
There is no guaranteed formula for appearing in AI answers
This point matters.
Nobody can guarantee that optimising a website in a particular way will make an AI platform cite or recommend it.
Academic research published in 2026 reviewed 45 studies into Generative Engine Optimisation conducted between 2023 and 2026.
The review concluded that GEO should not be treated as one simple ranking task.
Instead, AI visibility can involve multiple stages, including:
search activation → crawling and indexing → retrieval → reranking → context allocation → citation → use within the generated answer → user behaviour
The researchers found that topical relevance and context position were among the more reproducible factors, while generic optimisation tactics did not necessarily transfer reliably between systems.
Crucially, the review found no technique within the research it examined that demonstrated a stable, long-term, cross-platform causal effect on organic AI discoverability.
That’s an important reality for businesses.
GEO is developing quickly, but it should not be treated as a collection of guaranteed AI-ranking tricks.
AI-generated answers are becoming a genuine source of website traffic
The importance of AI discovery isn’t limited to citations and brand mentions.
AI platforms are also sending users to websites.
According to Similarweb’s 2026 analysis of AI referral traffic, generative AI platforms generated an average of approximately 770.7 million referral visits per month worldwide between June 2025 and May 2026.
That represented an estimated 117.4% year-on-year increase.
Importantly, Similarweb also found that AI referrals still account for a relatively small proportion of overall website traffic for most businesses.
That context matters.
AI isn’t replacing conventional search overnight.
Instead, another discovery channel is growing alongside search engines, social media, referrals and direct traffic.
For businesses, the sensible response isn’t to abandon SEO for GEO.
It is to understand both.
What can businesses do to improve their Google AI search presence?
There is no guaranteed method for appearing within an AI-generated response, but businesses can make their websites easier for search and AI systems to interpret.
1. Clearly explain what the business does
Ambiguous marketing language creates unnecessary interpretation.
Consider this:
“Transforming tomorrow through innovative digital solutions.”
It sounds polished, but it doesn’t clearly establish what the company sells, who it serves or where it operates.
Compare it with:
“We provide accounting software for small UK businesses, helping companies manage invoices, expenses and financial reporting.”
The second statement establishes the organisation, audience, product category, geography and use cases.
Clear information gives both people and machines more context.
2. Answer genuine customer questions
Conversational AI makes question-based searches increasingly important.
A commercial heat-pump company, for example, shouldn’t publish content only around the phrase “commercial heat pumps.”
Useful supporting content could answer:
How much does a commercial heat pump cost in the UK?
Can a heat pump replace a commercial gas boiler?
How long does commercial heat-pump installation take?
What size heat pump does a commercial building need?
This builds useful information around the subject instead of simply repeating a target keyword.
3. Publish original information
Google’s 2026 generative AI guidance places particular emphasis on valuable, unique and non-commodity content.
Repeating information already available across hundreds of websites provides limited additional value.
Original material can include:
* proprietary data
* first-hand experience
* expert commentary
* original research
* case studies
* practical examples
* new analysis of existing data
This isn’t only useful for Google AI search.
It gives other websites, journalists and AI systems something distinctive to reference.
4. Support factual claims with credible evidence
Where a business makes factual or statistical claims, the source should be clear.
Depending on the subject, strong sources can include government departments, regulators, universities, peer-reviewed research, official company documentation and recognised industry organisations.
This article, for example, links directly to Google’s own documentation when discussing how Google’s systems work rather than relying on second-hand interpretations.
Credible sourcing makes content more useful for readers and provides clearer evidence behind factual statements.
5. Build depth around subjects, not just keywords
A business shouldn’t expect one optimised page to establish expertise across an entire industry.
Instead, websites can build interconnected resources around the topics they genuinely understand.
An accounting software company might publish useful material about:
invoicing, cash flow, VAT, Making Tax Digital, bookkeeping, expenses and financial reporting.
Together, those resources establish considerably more context about what the organisation does and knows.
Internal links can then help users and search engines understand the relationships between those resources.
6. Make information easy to find and understand
Good information shouldn’t be buried beneath unnecessary introductions.
Use descriptive headings.
Give direct answers to direct questions.
Define unfamiliar terminology.
Use lists and tables where they genuinely improve comprehension.
Keep important information current.
Make important content available as text rather than embedding everything inside images.
These practices benefit human readers first — and they also make information easier for automated systems to process.
Google AI search makes measurement more important
The emergence of dedicated generative AI reporting in Search Console represents a significant change.
Businesses can increasingly measure traditional organic performance and generative AI visibility separately.
But Google’s reporting covers Google’s ecosystem.
A business may also appear — or fail to appear — within ChatGPT, Gemini, Claude, Perplexity and other AI experiences.
And visibility can vary.
Generative systems are not static search-result pages. Answers can change depending on wording, context, model, available sources and the time the question is asked.
Research into GEO increasingly distinguishes between several outcomes, including whether content is discovered, whether it is cited and whether information from the source actually influences the generated answer.
That makes repeated measurement more meaningful than checking one prompt once and treating the result as permanent.
What should businesses measure?
As AI-assisted discovery develops, useful indicators can include:
Traditional organic visibility — rankings, impressions, clicks and organic traffic.
Generative search impressions — appearances within Google’s generative AI features where available in Search Console.
AI referral traffic — visits arriving from AI platforms.
Brand mentions — whether relevant AI answers identify the business.
Source citations — whether AI systems link to the website as supporting evidence.
Interpretation accuracy — whether AI systems correctly understand what the company does, sells, serves and specialises in.
Visibility over time — whether these signals change after website content is improved.
No single metric provides the complete picture.
Why Google AI search matters for businesses in 2026?
The biggest change isn’t simply that Google added AI to Search.
It is that the traditional journey between question → search results → website is becoming more complicated.
A potential customer may now:
ask an AI question,
read a generated answer,
open one of its sources,
ask a follow-up question,
search a company name,
compare several businesses,
and only then visit a website.
That makes digital discovery increasingly fragmented.
Traditional rankings still matter.
Website quality still matters.
SEO still matters.
But businesses now have another layer of visibility to understand.
Frequently asked questions
What is Google AI search?
Google AI search refers to AI-powered features within Google Search, including AI Overviews and AI Mode. These features can retrieve information from web sources and generate responses to complex or conversational searches.
How does Google AI search find information?
Google says its generative AI features use its Search infrastructure and techniques including retrieval-augmented generation and query fan-out. Relevant information can be retrieved from Google’s Search index and used to support generated responses.
Can a website appear in Google AI search?
Yes. Websites indexed and eligible to appear in Google Search can potentially appear as supporting sources within AI Overviews and AI Mode. Google states there are no additional technical requirements specifically for inclusion in these AI features.
Does a website need llms.txt to appear in Google AI search?
No. Google’s official 2026 guidance states that websites do not need llms.txt, special AI text files or dedicated AI markup to appear within Google’s generative AI Search experiences.
Can appearing in Google AI search be guaranteed?
No. Meeting Google’s technical and content guidelines does not guarantee indexing, ranking or inclusion within a generated response. Generative AI outputs can also vary between queries and over time.
From search visibility to machine understanding
Google AI search is making one thing increasingly clear: businesses need to understand not only whether their websites can be found, but whether their information can be correctly interpreted.
For years, digital visibility was predominantly measured through rankings, impressions, clicks and traffic.
Those metrics aren’t disappearing.
But they’re being joined by new questions:
Does AI understand what your business does?
Does it understand who you serve?
Can it identify your products, services and expertise?
Is your information clear enough to retrieve when someone asks a relevant question?
And is your business part of the answer?
That is the visibility challenge ORBA is being built to help businesses understand.
ORBA analyses how clearly your website communicates the information AI systems need to interpret your business — highlighting gaps, opportunities and practical improvements that can strengthen your presence as AI-powered discovery develops.
