Something significant happened quietly in May 2025: Google began rolling out AI Mode in the United States — not as a beta toggle buried in Labs, but as a default search experience for an expanding slice of queries. By the time you’re reading this, it is likely live for a meaningful proportion of the searches your B2B buyers are running right now.
AI Mode is not the same as AI Overviews, which have been live globally since 2024. It is more ambitious, more disruptive, and more relevant to B2B companies than anything Google has shipped since the introduction of featured snippets. It replaces the traditional results page — the ten blue links — with a fully conversational interface that answers complex, multi-part research queries without requiring the user to click anywhere at all.
For B2B buyers who spend three to eighteen months researching before a purchase decision, this matters enormously. The question is not whether AI Mode will affect your visibility. The question is whether your content is structured to appear in it, or to be invisible to it entirely.
This piece covers what AI Mode actually is, how it differs from traditional search and AI Overviews, which query types it’s already dominating, and the three content adjustments B2B companies need to make immediately. For the foundational strategy context, our piece on B2B SEO strategy in 2026 covers the broader shift — this piece goes deeper on the specific AI Mode development.
What Google AI Mode actually is — and what it isn’t
The clearest definition
Google AI Mode is a full conversational search interface built on Gemini, Google’s large language model. When AI Mode activates on a query, the traditional results page — the list of organic links, the paid ads, the AI Overview — is replaced by a multi-turn AI conversation. The user asks a question. Google’s AI answers it directly, synthesising information from across its index. The user can ask follow-up questions. The conversation continues.
Crucially, AI Mode does not show ten blue links as the primary interface. Sources are cited — in a panel, in footnotes, in a scrollable carousel of referenced pages — but the user’s primary interaction is with the AI answer, not with the underlying search results. This is a structural change to how search works, not a presentation change.
The use of AI Mode is expanding beyond the initial US rollout. Google has stated intentions to make it globally available by 2025 and 2026. In practice, it activates most frequently on research-oriented, multi-part queries — precisely the query type that characterises B2B buying behaviour.
How AI Mode differs from AI Overviews
The distinction matters because many B2B marketers are still adjusting to AI Overviews — the summary box that appears above organic results for informational queries. AI Mode goes further in three specific ways:
- Scope: AI Overviews appear for a subset of queries on the traditional results page. AI Mode replaces the results page entirely for the queries it handles.
- Interaction: AI Overviews are static — a user reads the summary and then decides whether to click a result. AI Mode is conversational — the user can ask follow-up questions, refine their query, and get deeper answers without ever navigating away from Google.
- Citation pattern: AI Overviews cite a handful of sources in a compact format. AI Mode cites sources more extensively — and the query chain can pull from a wider range of pages per conversation, meaning more citation opportunities but also more competition for each one.
Think of AI Overviews as a summary that sits above search results. Think of AI Mode as search results being replaced by a conversation. The first changes where your content ranks. The second changes whether clicking to your content is ever part of the buyer’s research experience at all.
| Factor | Traditional search | AI Overviews | AI Mode |
| Experience | 10 blue links, user clicks | AI summary of the above results | Full conversational Q&A, no links shown by default |
| Buyer behaviour | Scans results, clicks through | Reads the summary, may click | Asks follow-up questions, stays in Google |
| B2B query type | Any | Informational/how-to | Complex, multi-part research queries |
| Click-through rate | Baseline | Reduced by 15–35% | Near-zero on first query |
| Brand visibility | Ranking position | Citation in summary | Named in an AI response or invisible |
| Content signal | Keywords + backlinks | Structure + authority | Depth + citation-readiness + dialogue flow |
| Current rollout | Global, all queries | Global, most queries | US, expanding 2025–2026 |
Which query types AI Mode is already dominating — and why B2B is especially exposed
The query types AI Mode activates on
AI Mode does not activate uniformly across all search types. Google’s systems route queries to AI Mode based on their complexity, research orientation, and the degree to which a single web page is likely to fully answer them. Based on documented behaviour since the US rollout, AI Mode is most active on:
| Query type | B2B example | AI Mode exposure | What this means |
| Category research | What is account-based marketing / how does B2B SaaS pricing work | High | AI Mode dominates — buyer stays in conversation |
| Vendor comparison | Best CRM for B2B startups UAE / Salesforce vs HubSpot for SMBs | High | AI Mode synthesises comparisons across sources |
| How-to/process | How to build a B2B content strategy / how to run a LinkedIn outreach campaign | High | AI Mode provides step-by-step, cites sources |
| Navigational | [Brand name] pricing / [Agency name] Dubai | Low | Traditional search is still dominant |
| Local/commercial | B2B SEO agency Dubai / B2B marketing company UAE | Medium | AI Overviews + traditional results — AI Mode growing |
| News / what’s new | Latest changes to LinkedIn algorithm / Google AI Mode B2B | Medium | AI Mode strong — pulls from recent indexed sources |
The pattern is clear: AI Mode activates most heavily on the research-oriented, exploratory queries that characterise the early and middle stages of a B2B buying journey. The queries where B2B buyers are learning, comparing, and evaluating — exactly the queries where your content most needs to be visible — are the queries most exposed to AI Mode.
Why B2B companies are disproportionately affected
B2B buyers are not casual searchers. They run complex, multi-part research queries precisely because their purchases are complex, multi-stakeholder, and high-value. A procurement manager evaluating three B2B SaaS platforms doesn’t type one keyword and click the first result. They ask layered questions: ‘What should I look for in a B2B data integration platform?’, then ‘how does [Platform A] compare to [Platform B] for enterprise compliance’, then ‘what are the typical implementation timelines’.
This multi-part, research-heavy query pattern is almost exactly what AI Mode is designed for. Which means B2B buyers are among the most likely users to encounter AI Mode — and among the least likely to click through to a traditional search result when they do.
There’s a second dimension to this exposure. B2B content — guides, comparisons, how-to articles, buyer frameworks — has traditionally been the category of content most likely to rank well in organic search. That content is now the category most likely to be synthesised by AI Mode rather than clicked on. The implication is not that B2B content loses its value. It’s that the mechanism by which it creates value is changing.
What Google AI Mode means for B2B visibility: the real impact
The click-through rate problem
The most immediate and measurable impact of AI Mode is on click-through rates. Early data from the US rollout confirms what was anticipated: queries handled by AI Mode show click-through rates to organic results that are significantly lower than equivalent queries on traditional search.
For B2B companies tracking organic traffic to informational content — blog posts, guides, comparison pages — this will appear as a gradual erosion of traffic from queries that previously drove consistent clicks. The content is being read. The buyer is getting value from it. But the value is being extracted by Google’s AI layer, not delivered through a visit to your website.
This doesn’t mean B2B content strategy is broken — it means the measurement model needs to shift. Traffic from informational content was never the end goal. Pipeline contribution was. The adjustment is to focus content investment on queries closer to commercial intent, where AI Mode is less dominant and buyer intent to act is higher.
The citation opportunity
AI Mode doesn’t just suppress traffic — it also creates a new form of visibility that didn’t exist in traditional search. When AI Mode answers a complex research query, it cites the sources it drew from. Those citations appear in a source panel alongside the conversation. For B2B companies whose content is cited, this represents a visibility signal that is arguably more valuable than a page-five organic ranking: your brand name appears in the AI answer that a buyer is reading during active research.
The evidence from AI Overviews — which has been live longer — suggests that being cited in an AI answer creates brand familiarity that influences later commercial intent searches. The buyer who sees your company cited in three AI Mode responses during their research phase is more likely to search your brand name directly when they’re ready to evaluate vendors. Citation in AI Mode is the new version of ranking on page one — except that the competition for each citation is determined by content quality signals, not domain authority.
The brand mention signal
There’s a third visibility dimension that AI Mode introduces: brand mentions in AI-generated answers. When AI Mode describes ‘leading B2B SEO agencies in Dubai’ or ‘the best platforms for B2B lead generation in the UAE’, the brands it names are not necessarily the brands with the highest DR or the most backlinks. They are the brands whose content is most comprehensively structured for AI comprehension — clear entity definition, cited data, specific claims, and FAQ structure.
For B2B companies in the UAE and MENA region, this represents a genuine first-mover opportunity. The AI Mode index for regional B2B queries is less crowded than for equivalent US or UK queries. Companies that build GEO-structured content now — in 2025 and early 2026 — are establishing citation patterns that will compound as AI Mode expands globally.
| This is exactly the type of visibility shift that our B2B SEO services are built for. Every piece of content Solvo produces is structured for AI citation from day one — not as an add-on, but as a core formatting discipline. More at solvocreations.com/services/ |
Three content adjustments B2B companies need to make immediately
Adjustment 1: Structure every piece of content for the AI conversation, not just the search result
Traditional SEO content is structured around a single query: the user types a keyword, the page answers it, and the user clicks. AI Mode operates differently — it handles multi-turn conversations, and the AI engine needs to be able to extract and synthesise information from your content at different points in a conversation chain.
The practical adjustment is to write content that answers not just the primary question but the follow-up questions a buyer is likely to ask next. This means building explicit sub-sections for each logical next question, using H3s that directly state the question they answer, and ending each major section with a clear transitional statement that anticipates the next query.
For example, a guide on B2B content marketing strategy should not just cover ‘what is B2B content marketing’ at the top and bury the rest in undifferentiated body copy. It should explicitly answer ‘what is B2B content marketing’, then ‘how does B2B content marketing differ from B2C’, then ‘what types of content work best for B2B buyers’, then ‘how do you measure B2B content marketing ROI’ — each as a distinct, clearly signposted section. This structure allows AI Mode to pull the relevant section for each turn in a buyer’s research conversation.
| Checklist — AI Mode content structure:→ Does your H1 directly state what the page answers?→ Do your H2s and H3s answer specific questions, not just label topics?→ Does each section stand alone as an answer, without requiring the reader to have read the previous section first?→ Do you have an FAQ section covering the follow-up questions your buyer would naturally ask?→ Does the page open with a direct definition or answer in the first 100 words? |
Adjustment 2: build entity authority, not just page authority
AI Mode’s citation decisions are influenced by a concept that goes beyond traditional SEO: entity authority. In Google’s knowledge graph, entities are real-world things — companies, people, topics, products — and the degree to which your brand is established as a recognised entity in your category affects how frequently AI Mode names or cites you.
For B2B companies, building entity authority means going beyond content on your own website. It means being cited in third-party publications, being mentioned in industry databases, having your founder’s name connected to your company’s topic area through LinkedIn content and media coverage, and earning links from publications that Google recognises as authoritative sources in your vertical.
This is why the link-building approach in a proper B2B SEO programme — editorial placements in real publications, digital PR, named expert citations — has become even more important in the AI Mode era. Each external citation strengthens the entity signal that tells Google’s AI your brand is a credible source in your category. A guest column in Gulf Business mentioning your company’s perspective on B2B marketing in the UAE does more for your AI Mode entity authority than twenty forum backlinks.
For UAE-based B2B companies, the regional entity-building opportunity is significant. Being cited in Gulf Business, Arabian Business, Wamda, or Entrepreneur Middle East as an expert source in your category establishes you in the AI’s regional knowledge base — and that foundation is being built right now, before most of your competitors are thinking about it.
Adjustment 3: add a commercial intent layer your AI Mode strategy flows toward
The most important structural adjustment is not to your informational content — it’s to the content architecture that surrounds it. AI Mode will handle the research phase of your buyer’s journey. Your job is to make sure that when the research phase ends and commercial intent begins, your brand is the obvious next step.
This means two things in practice. First, your commercial-intent pages — service pages, product pages, pricing pages, case study pages — need to be structured with the same GEO discipline as your informational content. AI Mode does engage with commercial queries, particularly ‘best [service] for [use case] in [location]’ queries, and your commercial pages need to be citable.
Second, your informational content needs clear, structurally prominent pathways to commercial pages. Not aggressive CTAs that interrupt the reading experience — those reduce dwell time signals — but contextually relevant internal links and transition sentences that move a buyer naturally from learning to evaluating. AI Mode compresses the research phase but doesn’t eliminate the buyer’s intent to eventually act. The architecture that captures that intent when it arrives is what converts AI Mode visibility into a pipeline.
Our B2B SEO agency evaluation guide covers how to assess whether an agency understands this architecture — specifically, the question of whether they’re building for pipeline contribution or just for traffic metrics. In the AI Mode era, that distinction has never mattered more.
What B2B companies in the UAE and MENA should do right now
Audit your existing content for AI Mode readiness
The first practical step is a content audit through an AI Mode lens. For each of your key informational pages, ask: Does this page open with a direct answer in the first 100 words? Do the subheadings answer specific questions? Is there a FAQ section with schema markup? Are claims supported by cited data with source links?
Pages that fail this audit are not worthless — they have existing indexing, internal links, and potentially some ranking history. They need to be updated, not replaced. Adding a definitional opening paragraph, restructuring subheadings as explicit questions, and appending a FAQ section are changes that can be made to an existing page in two to three hours and can measurably improve its AI citation frequency within weeks of reindexing.
Prioritise entity-building in the UAE media landscape
For B2B companies in Dubai and the broader MENA region, the entity-building window is open, and the competition is thin. Most UAE B2B companies have not started building their entity authority systematically. Being quoted in a Gulf Business piece, having your founder publish a bylined article in Entrepreneur Middle East, or being included in a Wamda analysis of B2B marketing trends establishes regional entity signals that directly benefit AI Mode visibility for UAE-specific queries.
This is a first-mover advantage with a real closing date. As more regional B2B companies build entity authority through media coverage and structured content, the marginal value of each new citation decreases. The companies investing in this now will hold a structural advantage in AI Mode visibility for regional queries for years.
Connect your GEO strategy to your commercial intent layer before AI Mode scales further
The single most important action for UAE B2B companies right now is to ensure that the GEO-readiness work on informational content is architecturally connected to commercial intent pages that are optimised and ready to convert AI Mode-driven traffic when it arrives.
If your service pages are thin, unstructured, or lack case study content that demonstrates credibility, AI Mode visibility on your informational content will drive buyers who are aware of your brand but unconvinced by what they find when they look closer. The research phase and the evaluation phase need to be designed as a connected system, not as separate content programmes.
Solvo’s B2B growth services are built specifically for this architecture: GEO-ready informational content, entity-building through digital PR and earned media, and commercial intent pages that convert the awareness AI Mode creates into a pipeline. If you want to understand what this looks like for your specific business, start the conversation here.
Frequently asked questions about Google AI Mode and B2B search
Is Google AI Mode available in the UAE and MENA region yet?
As of mid-2025, Google AI Mode is live in the United States and is in a structured rollout phase for other markets. Google has confirmed global expansion through 2025 and 2026. In the UAE, AI Overviews are already active on a significant share of informational queries — AI Mode will follow the same geographic expansion pattern. UAE-based B2B companies that build AI Mode-ready content now will be ahead of the curve when full rollout reaches the region.
Does Google AI Mode replace the need for traditional SEO?
No — and this framing is a distraction from the real strategic question. Traditional SEO — keyword research, technical health, on-page optimisation, backlink authority — remains foundational. AI Mode layers on top of that foundation: pages with strong traditional SEO signals are better positioned to be cited in AI Mode responses. The shift is not from SEO to something else. It’s from SEO alone to SEO plus GEO — traditional optimisation plus the structural and citation-readiness signals that AI engines specifically respond to.
How do I know if my content is being cited in Google AI Mode?
The most direct method is manual testing: run the research queries your B2B buyers are most likely to ask in Google AI Mode and check whether your content appears in the source citations. Tools like Google Search Console don’t yet surface AI Mode citation data specifically, but GSC impressions data for informational queries will show if your pages are being surfaced in the AI results ecosystem. Perplexity and ChatGPT Search can also be used as proxies — the citation signals that make content appear in those engines correlate closely with AI Mode citation behaviour.
What content types are most likely to be cited in AI Mode?
Based on documented AI Mode behaviour and the parallel evidence from AI Overviews and Perplexity, the content types with the highest citation frequency share four characteristics: they open with a direct definition or answer, they use structured subheadings that state specific questions, they cite third-party data with source links, and they include FAQ sections with schema markup. Long-form guides (1,500+ words) that cover a topic comprehensively are cited more frequently than shorter pages — AI Mode’s conversational structure benefits from content that can answer multiple turns of a research conversation.
How should I measure the impact of AI Mode on my B2B content programme?
The measurement framework needs to account for the reality that AI Mode reduces click-through rates on informational content while potentially increasing brand awareness and downstream commercial intent. The metrics to track: brand search volume (are more people searching your company name directly after the AI Mode rollout?), organic traffic to commercial intent pages specifically (which AI Mode is less dominant on), and direct traffic as a proportion of total traffic (which captures buyers who’ve seen your brand in AI Mode and come back directly). Pipeline attribution from organic — connecting GSC data to your CRM — becomes more important than ever in a world where your content’s value is partially delivered in an AI interface rather than on your website.
| About the author Lara Fayad is the founder of Solvo Creations, a Dubai-based B2B growth agency specialising in SEO, GEO, AI search visibility, content strategy, web development, PR, podcasts, and personal branding for SMBs, startups, founders and executives in the UAE and international markets. Explore Solvo’s services or get in touch with us |