GEO by sector: why your vertical needs a different strategy

In short

AI visibility isn't equal across all sectors. SaaS and B2B software dominate with high brand dispersal; e-commerce is paradoxical; finance distributes better. Your GEO strategy must start by understanding how AI responds in your specific vertical, not by replicating what works elsewhere.

The real problem

You've read the GEO guide, implemented structured data, created citable content. Yet your competitors appear more often in AI responses. Why?

Because AI doesn't respond the same way to all sectors.

SaaS and B2B software brands consistently rank at the top of all AI search visibility benchmarks in 2026. Meanwhile, companies with decades of operations, thousands of employees and substantial revenue often simply don't appear when a user asks AI which are the leading companies in a given sector or region.

That difference isn't coincidence. It's architecture.

How AI visibility works by vertical

Each sector has its own pattern. It's not just about ranking—it's about how many brands AI mentions, who dominates, and how your content fits into that ecosystem.

SaaS and B2B software (the winning vertical)

B2B software is the most favourable sector for AI visibility today. Why?

Brands publish technical content, documentation, white papers
The community (Reddit, G2, specialised forums) constantly discusses them
Brands that actively participate in communities gain more AI visibility than those relying exclusively on traditional PR or expert positioning.

In SaaS, brand diversity is high. When someone asks AI about automation tools or CRM, it mentions multiple options—it doesn't dominate an oligopoly.

E-commerce (the paradox)

E-commerce occupies a paradoxical position in AI search visibility benchmarks for 2026.

But what does "paradoxical" mean? The consumer electronics category scored the lowest ratings (1.22 on ChatGPT and 1.36 on Google AI Overviews), which means AI typically mentions only 1 or 2 brands per query.

In consumer electronics, concentration is brutal: three companies dominate everything. If you're not one of them, you're invisible.

Finance and industrial (healthy dispersal)

In Finance, the top three brands represent 41.4%, and in Industrial, 42.2%—much better than electronics. This means there's still room for smaller brands to appear.

But the secret lies in how: in finance, AI respects authority (regulation, analysis, published data). In industrial, it respects scale and mentions in technical communities.

Local services (structural invisibility)

This is the most critical case. A restaurant, clinic, or estate agency with years of operation can be completely invisible in AI responses for regional searches.

A retail chain with hundreds of stores spread across rural Rio Grande do Sul is invisible when someone asks "where to buy household appliances in southern Rio Grande do Sul".

This happens because AIs train on large-scale public data. Local brands have physical presence, but lack "citable digital presence".

How to define your strategy by vertical

Step 1: Confirm your sector's pattern

Ask 5 questions a potential customer would ask ChatGPT or Perplexity about your sector. Note:

How many brands appear in each response? (1-2 = concentrated; 4+ = dispersed)
Which brands appear?
How do they appear? (recommendation, comparison, contextual mention)
What are the information sources? (own website, reviews, communities, third-party articles)

This tells you whether your sector is like SaaS (dispersed, community-driven) or electronics (concentrated, dominated by giants).

Step 2: Choose the angle that works in your vertical

If your sector is SaaS/community-first (like software, marketing, design tools):

Focus on active participation (comments on G2, Reddit answers, guest articles)
Publish case studies, comparisons, in-depth guides
Build presence where the community already is

If your sector is concentrated (like electronics, smartphones, cars):

Strategy is defensive: appear in secondary lists, specific niches (e.g. "best smartphone for photography" vs "best smartphones")
Invest in ultra-specific content AI can differentiate

If your sector is local/fragmented (services, retail, health):

Regional context is critical
Focus on local mentions, verified reviews, integrations with local business data
Participation in "best of" lists (city guides, regional rankings)

Step 3: Adapt content to your sector's response mode

Replace promotional language ("industry-leading solution") with specific, verifiable facts ("processes 50,000 transactions per second").

But do this differently by sector:

Sector	Content type	Preferred format
SaaS	Use cases, integrations, comparisons	Blog posts, documentation, G2 reviews
E-commerce	Product differentiation, specifications	Tech specs, independent comparators
Professional services	Methodology, expertise, case studies	In-depth articles, whitepapers, studies
Health/wellness	Evidence, qualifications, testimonials	Peer-reviewed articles, professional profiles
Local	Accessibility, ratings, opening hours	Google Business, TripAdvisor, Yelp

Practical example: SaaS vs. Services

An AI HR tool (SaaS)

Typical question: "What's the best AI recruitment platform?"

Expected response: ChatGPT mentions 3-5 brands, highlighting those with strong community presence (Product Hunt, Reddit r/startups, G2)

Strategy:

Actively participate in recruitment, automation, and talent conversations
Publish on Medium, Substack, specialised communities
Organically request G2 and Capterra reviews
Collaborate with experts on podcasts and joint articles

A marketing agency (Services)

Typical question: "What's the best marketing agency in [city]?"

Expected response: AI will likely fail, because it trains on large-scale public data. If you don't appear in "best agencies" on regional websites, you're invisible

Strategy:

Focus on regional rankings and "best agencies" lists (Clutch, Good Firms, local lists)
Build presence in professional associations
Publish studies and local insights journalists cite
Appear on podcasts and regional radio programmes (content AI trains on)

What changed in 2026: the age of specialisation

AI visibility is no longer singular. Companies no longer need to think only about their presence on traditional search engines, but also about how they're perceived by different AI platforms. There's no longer one digital presence—there's your brand's presence on ChatGPT, Gemini, Perplexity, Claude, and your company can be strong on one and invisible on others.

Each AI has different reach, different priorities, and different source types. A GEO strategy that ignores this is doomed.

Checklist before you start

☐ I've tested 10 questions my customer would ask ChatGPT and Perplexity about my sector
☐ I've mapped who appears in responses and how often
☐ I've identified whether my sector is dispersed (SaaS-like) or concentrated (electronics-like)
☐ I've defined the content type that works in my vertical (community, expertise, local)
☐ I've adjusted language: verifiable facts vs generic promotion
☐ I've started appearing in the right places (communities, rankings, participation)

The common mistake is applying the same tactic across all sectors. The truth is simpler: AI speaks differently about each vertical. If you learn to speak your sector's language, visibility follows.

Key points

SaaS and B2B software dominate AI visibility with dispersed responses across multiple brands
In consumer electronics, AI mentions only 1 or 2 brands, with extreme domination by three companies
Size doesn't guarantee visibility: companies with decades of operations can be invisible in AI responses
Active participation in communities (Reddit, forums, G2) generates more visibility than traditional PR
Your GEO strategy must change with your vertical: what works in SaaS is suicide in e-commerce or local services

Sources

Go from theory to numbers.

See how AI talks about your brand on every topic.