Do Google AI Overviews and AI Mode name the same employers?

They're both part of Google Search, but they offer different ways of exploring information.

Google AI Overviews provides AI-generated summaries directly within search results when Google's systems determine that a summary would be helpful.

Google AI Mode allows users to explore questions in greater depth, including asking follow-up questions and comparing information across multiple sources.

Google has continued connecting these experiences, allowing users to move from an AI Overview into a more detailed conversation in AI Mode.

That creates an interesting situation for employers.

Someone researching potential employers through Google might encounter an AI Overview first, then continue their research through AI Mode.

Those responses aren't guaranteed to name the same organisations.

Google describes the experiences and their relationship in its AI Overviews guidance and AI Mode guidance.

Through BrandScore, we conducted a pilot comparing employer-related answers from Google AI Overviews and Google AI Mode.

The research covered 252 paired answers across employers and markets in Australia and the United Kingdom.

We wanted to understand how consistently the two Google experiences represented employers when responding to comparable questions.

The finding was notable.

We observed approximately 9% overlap between the employer appearances produced by AI Overviews and AI Mode.

This was a limited research sample, not a measurement of every employer appearing across Google Search.

The figure should not be interpreted as meaning that 91% of employer appearances were incorrect, or that an employer missing from one response cannot appear in another.

It does, however, highlight the differences that can emerge between two AI experiences belonging to the same search platform.

And it raises a question for organisations trying to understand their visibility across AI.

If two Google experiences can provide substantially different employer appearances, what does it actually mean to say an organisation is visible on Google?

The two experiences are designed to support different types of information-seeking behaviour.

AI Overviews commonly presents a summary within the search results page.

AI Mode supports longer, more detailed questions and conversational follow-ups.

Google also describes AI Mode as using a technique called query fan-out, which breaks a question into related subtopics and searches across multiple sources.

These differences provide plausible reasons why answers might vary, but they do not establish what caused the differences observed in BrandScore's pilot.

Other factors may include the precise question, market context, available information and variation between AI-generated responses.

What matters from a measurement perspective is that two experiences may present different lists of employers, even when the underlying topic is similar.

For example, a candidate researching employers offering engineering careers might encounter one set of organisations through an AI Overview.

They could then ask a more detailed question about career progression or flexible working through AI Mode and receive a different set of employer names.

That scenario is illustrative, not a specific finding from our pilot.

But it demonstrates why the distinction between the two experiences deserves attention.

It can conceal meaningful differences.

Imagine an employer appears frequently in AI Overviews but rarely in AI Mode.

If those results are combined into a single Google visibility score, the organisation may see an average without understanding where it is performing strongly or where it is less frequently named.

The reverse could also occur.

An employer might perform well in more detailed conversational comparisons while appearing less frequently in shorter search summaries.

Neither result automatically means one experience is more influential than the other.

And neither tells us how often candidates encounter the responses or what decisions they make afterwards.

Those are separate questions.

However, distinguishing the two surfaces allows employer brand teams to understand where their organisation appears and how that varies with the type of question being asked.

Not necessarily.

AI-generated answers can vary because of the question, the information available and how a system interprets what the user wants.

A candidate seeking a quick overview may not receive the same information as someone conducting a detailed comparison.

That variation isn't automatically evidence of an error.

But for employers measuring their AI visibility, it creates a methodological challenge.

If assessments combine answers from different experiences without recognising their differences, changes in visibility may be difficult to interpret.

The same applies when comparing results over time.

A meaningful comparison needs to account for the AI experience, the questions being asked, the target market and the measurement criteria.

Otherwise, an apparent improvement or decline may partly reflect a change in how the assessment was conducted.

Gemini adds another consideration.

Although Google Search's AI experiences use Gemini technology, the Gemini assistant is a distinct product experience.

An employer appearing in Gemini responses should not automatically be assumed to have equivalent visibility through Google AI Overviews or AI Mode.

This is why BrandScore measures these experiences separately.

Our AI monitoring covers six experiences:

Each can provide a different perspective on how employers are named and described.

Looking at the results together can help identify broader patterns, while retaining separate measurements allows the differences to remain visible.

• ChatGPT
• Claude
• Gemini
• Perplexity
• Google AI Overviews
• Google AI Mode

The practical implication isn't that employers should favour one Google experience over another.

It's that AI visibility should be measured at a level that reflects how people encounter the answers.

An organisation's presence in one experience doesn't establish its presence in another.

And where results differ, it's important to examine whether the difference relates to the questions, the answer context, the sources being referenced or the behaviour of the AI experience itself.

This matters particularly when comparing employers competing for the same talent.

An organisation might appear prominently alongside one set of competitors in AI Overviews and another set in AI Mode.

Without separating those results, that distinction can be lost.

For Employer Brand teams, understanding where their organisation is named is becoming just as important as understanding how it is described.

BrandScore's Google comparison pilot examined 252 paired AI answers involving Google AI Overviews and Google AI Mode across Australian and UK employer research contexts.

The approximately 9% overlap describes the observed similarity of employer appearances within this pilot. It is not a universal overlap rate for Google Search, a measure of endorsement accuracy or evidence of candidate application behaviour.

Google's AI search products continue to change, meaning results from a particular assessment period should not be assumed to remain constant.

• Treat AI Overviews and AI Mode as separate measurement experiences. Both are part of Google Search, but their employer appearances may differ.
• Don't equate Gemini with Google Search visibility. Visibility through the Gemini assistant does not establish visibility through Google's AI search experiences.
• Measure comparable candidate questions. Differences are more meaningful when questions, markets and assessment conditions are clearly defined.
• Retain competitor comparisons for each experience. Different AI experiences may name different employers for similar talent markets.
• Monitor changes consistently. Repeated measurement helps establish whether differences persist or reflect variation between individual responses.