What types of AI prompts should B2B software companies optimise for?

London's best GEO agencies combine entity optimisation, structured data, and LLM-ready content to get brands cited in ChatGPT, Google AI Overviews, and Gemini. The commercial opportunity is significant: brands appearing in generative responses earn trust and visibility at the earliest stages of the customer journey.

As ai search becomes a primary discovery channel for B2B buyers, the agencies that understand how to optimise for generative platforms, not just traditional blue links, are pulling ahead. London has become the natural home for that specialisation.

Key takeaways

• GEO requires structured data, entity clarity, and LLM-ready content that traditional SEO doesn't address
• The best GEO agencies track ai visibility across ChatGPT, Gemini, and Perplexity, not just Google Search Console
• B2B SaaS firms with long sales cycles need specialists who map content to multi-stakeholder buyer journeys
• London GEO retainers typically run £3,000 to £25,000 per month depending on scope and complexity
• Integrating GEO with traditional SEO gives brands coverage across both blue links and AI generated answers

At FirstMotion, we've spent years helping established B2B software and SaaS companies win visibility across both traditional and generative search. Our proprietary ContextualJourney™ platform maps real AI search behaviour to buyer-journey gaps your competitors haven't spotted yet.

This guide covers the 10 best generative engine optimisation agencies in London for 2026, what makes each one distinctive, and how to choose the right fit for your business.

What is a GEO agency and why does London matter in 2026?

Generative engine optimisation is the practice of making your content citation-worthy for AI systems: ChatGPT, Google Gemini, Google AI Overviews, Microsoft Copilot, and Perplexity. It's a fundamentally different discipline from traditional SEO, which focuses on ranking signals and backlinks rather than how large language models select and synthesise information.

GEO requires a different approach to traditional SEO, demanding structured data, entity clarity, and authoritative content at every layer of your site.

It also demands a sharper understanding of content optimisation: how individual pages are structured, cited, and parsed by AI models before they ever surface in a response.

Leading London agencies have developed unique metrics to track ai visibility inside LLMs, which traditional tools can't measure. That measurement gap is one reason specialist GEO agencies are increasingly sought over generalist digital marketing shops.

The best GEO agencies optimise for entire ecosystems, ensuring brands show up in AI generated answers, summaries, and sources of authority. When selecting a GEO agency, look for transparency and realistic expectations regarding the evolving nature of ai search.

GEO services in the UK typically start from around £1,500 to £3,000 per month for SMEs, with enterprise level projects costing significantly more. Full-stack GEO and technical SEO services for growing businesses typically sit between £1,500 and £8,000 per month. London's talent pool, GDPR expertise, and density of AI startups make it the natural home for GEO specialisation in 2026.

The role of digital PR in generative engine optimisation

Digital PR has become a cornerstone of effective GEO strategy and one of the most underused levers in ai search visibility. In the context of generative engine optimisation, it goes well beyond traditional link building: it's about amplifying your brand's presence to influence both human audiences and AI systems simultaneously.

A robust digital PR campaign increases brand mentions in authoritative publications and news outlets. Those brand mentions and backlinks act as signals that AI systems use to assess authority and relevance, directly impacting your visibility in AI generated answers and AI Overviews.

Digital PR shapes AI search behaviour by ensuring your brand is consistently referenced in contexts that matter to your audience.

It feeds the authority signals that ai platforms like ChatGPT, Gemini, and Perplexity rely on when deciding which sources to cite.

Content strategies that combine digital PR with technical GEO work consistently outperform approaches that treat them as separate workstreams. The brands that invest in both simultaneously build compounding authority that neither tactic achieves alone.

10 best GEO agencies in London for 2026

The following agencies were selected based on demonstrable GEO practice between 2024 and 2026, London headquarters or a major London office, and a strong track record in AI influenced search environments. No agencies paid to appear.

1. FirstMotion (specialist B2B SaaS GEO agency, London)

FirstMotion is a London-based AI-enabled consultancy built specifically for established B2B software and SaaS firms, specialising in SEO and ai seo optimisation. It offers a proprietary technology platform called ContextualJourney™ for audience intelligence and buyer-journey mapping, helping clients optimise visibility, leads, and pipeline through both traditional SEO and AI native search including GEO and answer engine optimisation.

The consultancy targets visibility across Google AI Overviews, Gemini, ChatGPT, Perplexity, and enterprise assistants shaping B2B buyer journeys. Entity and schema audits have driven significant pipeline improvements for clients in cybersecurity and DevOps.

Measurement is always tied to leads, opportunities, and ACV, not impressions or vanity rankings.

Ideal clients: B2B software or SaaS companies with multi-region presence, long sales cycles of 6 to 12 months, and deal sizes exceeding £50k ARR. Also investors needing digital due diligence on ai visibility inside generative engines.

2. Passion Digital

Passion Digital is a London-headquartered agency, a Google Premier Partner three years running (2023–2025) and a Drum Recommended Agency. Now backed by US AI tech firm Pixis.ai, they bring intelligent forecasting, real-time optimisation, and automated content workflows to AI search visibility.

Content strategies span paid media, organic search, and generative AI for brands wanting all channels aligned. GEO services are priced between £3,000 and £10,000 per month.

Ideal clients: Brands wanting integrated campaigns with paid media synergy alongside ai search visibility.

3. Found

Found operates with a proprietary Everysearch™ methodology and Luminr platform for tracking search visibility across both traditional search engines and generative ai platforms. Recognised by The Drum and Google as a top partner, it focuses on understanding how large language models surface brands across Google AI Overviews, Bing Copilot, and Gemini, with case studies demonstrating significant visibility uplifts for retail and B2B sectors.

Content optimisation work is particularly strong for brands with large libraries needing restructuring for AI parsability.

Ideal clients: Larger brands across retail, travel, and B2B seeking mature processes and comprehensive AI search monitoring.

4. Bird Marketing

Bird Marketing is a multi-award-winning agency with a London office, recognised across Clutch, GoodFirms, and major digital marketing industry awards. It combines technical SEO foundations with generative-ready content and AI analytics, specialising in regulated sectors including fintech.

Bird Marketing's approach to digital marketing integrates AI search visibility from the outset rather than bolting it on. GEO services are priced between £2,500 and £9,000 per month, with enterprise level GEO strategies and industry-specific approaches.

Ideal clients: London companies with multi-market ambitions across time zones and jurisdictions.

5. SUSO Digital

SUSO Digital is a technically focused London SEO agency that's extended its expertise into GEO, with particular emphasis on structured data and LLM-friendly site architecture. It's known for deep technical audits, schema implementation, and improving how ai platforms parse and cite content.

Their content optimisation process systematically identifies which pages are already close to citation-worthy and prioritises those for structured data improvements first. Published results include +594% AI traffic and +321% AI conversions for a global healthcare brand over 10 months, and 862 AI Overview citations for Skyscanner. GEO services range from £2,000 to £7,000 per month.

Ideal clients: Brands with large SaaS documentation hubs or extensive ecommerce catalogues needing technical cleanup first.

6. Buried

Buried is a UK agency with a strong London presence, founded by growth marketers to integrate AI driven search with performance-focused SEO.

Founded by award-winning growth marketer Will Tombs, it specifically treats GEO as a core specialisation for long-term ai visibility in mid-market brands.

Its GEO work is tightly tied to revenue outcomes: pipeline and digital marketing efficiency come first. Content strategies are built around ROI from day one, not vanity metrics or platform mentions that don't convert.

Ideal clients: Scale-ups wanting aggressive, ROI-led organic growth across both traditional SERPs and generative search results.

7. Exposure Ninja

Exposure Ninja is a well-established UK agency with London reach, known for a structured 9-pillar methodology that now incorporates GEO and AI influenced search. It blends AI-optimised content, semantic keyword architectures, and comprehensive schema, pairing GEO with digital PR and review generation to build authority signals.

Exposure Ninja's content optimisation frameworks are particularly well-documented, making them a good fit for businesses that want to build internal capability alongside outsourced delivery. Integrated SEO and GEO services range from £2,000 to £8,000 per month.

Ideal clients: Businesses wanting process-driven programmes with clear internal education components alongside content and technical delivery.

8. Blue Array

Blue Array operates as a hybrid SEO consultancy with strong London roots, known for embedding specialists within client teams as strategic advisors. Founder Simon Schnieders won Best Large SEO Agency at the UK Search Awards. Its GEO work focuses on strengthening technical foundations and entity clarity for reliable ai platforms citations.

Engagement formats include audits, training, and ongoing strategic governance, a model well-suited to organisations where digital marketing decisions are made in-house but need senior GEO direction. It's a strong fit for PE-backed SaaS portfolio companies needing senior direction rather than full outsourcing.

Ideal clients: Organisations with in-house teams needing leadership and enablement rather than execution-only GEO services.

9. Varn

Varn is a search agency with strong technical pedigree and London presence, focusing on information architecture and structured content for AI models. Its GEO services centre on entity modelling, schema markup, and content optimisation for AI clarity.

Leading London agencies like Varn that specialise in entity modelling and schema markup facilitate AI understanding and citation in ways generic digital marketing agencies can't replicate.

Ideal clients: Companies in regulated sectors including healthcare, finance, and professional services wanting compliance-focused GEO work.

10. Charle

Charle is a London-based ecommerce and Shopify-focused agency that's added GEO and answer engine optimisation services for product discovery in AI powered search environments. It optimises entity clarity for brands with product-level structured data, ranking highly in 2026 ecommerce GEO tables for revenue-tied outcomes.

Charle integrates technical audits, CRO thinking, and content optimisation to align GEO outcomes with customer lifetime value. Their content strategies are built specifically for DTC brands where product discoverability in ai search directly affects revenue.

Ideal clients: DTC, retail, and Shopify Plus brands wanting ai visibility in product research flows.

Understanding AI Overviews, ai platforms and their impact on generative search

Google AI Overview features are fundamentally reshaping how users interact with search results. Unlike traditional search, where users sift through blue links on search engine results pages, AI Overviews deliver concise, synthesised answers directly within the search interface.

For brands, this shift means ranking well in traditional SEO is no longer enough on its own. Ai platforms now prioritise content that's optimised for generative search: structured data, entity clarity, and authoritative information that can be easily cited in AI generated answers.

Agencies ensuring brands are cited and discovered by ai platforms such as ChatGPT and Google Gemini have to work across content quality, technical infrastructure, and earned authority simultaneously.

That's a fundamentally different brief from traditional digital marketing or organic search work.

Comprehensive AI search monitoring lets you track where and how your brand appears across various AI powered search environments. Ai visibility data is now a distinct reporting category from Google Search Console data, and the two measure fundamentally different things.

Brands that adapt quickly by working with the right GEO agency and committing to entity-led content strategies will be best placed to capture attention across both traditional and AI powered search results.

How GEO agencies work with AI powered search and ai seo in 2026

As of 2026, the ai search ecosystem spans Google AI Overviews, Gemini, ChatGPT, Copilot, and Perplexity, all drawing from structured and unstructured web data to produce AI generated responses. Typical GEO workflows follow a clear sequence of phases:

• Audit: Entity gap analysis, schema review, and content parsability assessment
• Content reframing: Restructuring into Q&A formats, adding quotations and statistics for citation-worthiness
• Evidence enrichment: Adding authoritative sources, expert quotes, and data points that LLMs favour
• Monitoring: Tracking brand mentions in ChatGPT, Gemini answers, and AI Overview appearances
• Training data attention: Canonicalisation, freshness signals, ensuring content enters RAG indices appropriately

For B2B SaaS brands, GEO focuses on long-cycle queries like "best SOC 2 compliance software for mid-market fintechs" or "top DevOps platforms with GDPR features." These are complex, multi-intent queries where AI models synthesise multiple sources into a recommendation.

Training data optimisation ensures your content is fresh, canonical, and structured correctly before it enters a model's knowledge base. Agencies also focus on content optimisation for voice-based and conversational queries to secure answer-ready content positions.

Content structured around the way people speak to ai platforms consistently outperforms traditional keyword-led content. That's a core principle of ai seo that generalist agencies often miss.

Effective lsi keyword research for conversational and generative queries is another area where specialist agencies outperform generalists. Search recognition strategies that account for how ai crawlers index and prioritise content are now a core part of any serious GEO programme.

How to choose the right GEO agency: content strategies, content optimisation and digital marketing

The right GEO agency depends entirely on your business model, company stage, tech stack, and internal capabilities. For B2B software and SaaS companies, prioritise agencies with proven long-form content strategies, an understanding of complex buying committees, and a clear methodology for mapping content to multi-stakeholder journeys.

• GEO and SEO integration: How do you balance organic traffic growth with ai search visibility?
• Entity and schema: Can you show an entity audit from a similar client?
• AI monitoring: Which ai platforms do you track? What dashboards do you use?
• Revenue measurement: How do you connect GEO work to pipeline, ACV, or CAC payback?
• Category experience: Have you worked with companies in our specific vertical before?

Before engaging any agency, run a GEO readiness audit and verify they understand keyword research for conversational generative search queries, not just traditional search. Check whether they've tracked ai visibility in Gemini or ChatGPT for previous clients, and ask about their content optimisation approach for generative platforms specifically.

If you're operating in B2B software or tech with long buyer journeys, consider speaking with FirstMotion about a platform agnostic GEO strategy tailored to your category.

Why FirstMotion is a strong choice for B2B SaaS GEO and ai visibility in London

FirstMotion is purpose-built for established B2B software and SaaS companies that rely on organic search and AI driven discovery for demand generation and pipeline growth. It's not a generalist digital marketing agency that's added "ai seo" to its service list: it's a specialist consultancy built for complex B2B buying and competitive search environments.

The ContextualJourney™ platform maps real ai search behaviour by mining prompts from ChatGPT, Perplexity, and Gemini to identify content gaps competitors haven't noticed. Content strategies are tied to specific stakeholders (CFO, CISO, Head of RevOps, engineers) across months-long research cycles.

Measurement is always connected to leads, opportunities, and ACV. Ai visibility reporting covers all major generative platforms, not just Google.

FirstMotion also supports investors with digital due diligence for PE firms assessing how visible portfolio targets are inside generative engines. That capability is increasingly relevant as ai platforms reshape how buyers discover and evaluate software.

Ready to build your GEO game plan?

If your B2B software or SaaS brand isn't showing up in AI generated answers, you're losing ai visibility at the exact moment prospects are forming shortlists. FirstMotion's GEO audit and strategy workshop identifies where you're being missed and what it'll take to close the gap.

Request a GEO audit or strategy workshop with FirstMotion to assess your current ai search visibility and build a clear roadmap for 2026 and beyond.

Frequently Asked Questions

How much do GEO services cost in London in 2026?

GEO services in the UK typically start from around £1,500 to £3,000 per month for SMEs, with enterprise level projects costing significantly more depending on scope and complexity. For mid-market B2B SaaS brands with content production and AI monitoring, retainers typically sit between £6,000 and £12,000 per month.

Enterprise or multi-country programmes range from £10,000 to £25,000 or more per month. Project-based GEO audits start around £8,000 to £20,000 depending on site complexity.

How long before I see GEO impact in AI search results?

Brands with existing authority typically see initial signals within 8 to 16 weeks, particularly in AI Overviews and ChatGPT-style answers. Competitive B2B categories generally require 6 to 12 months for meaningful coverage in AI driven search results, with full programme maturity taking 12 to 18 months.

The biggest early wins almost always come from fixing entity clarity and structured data first.

Ai platforms update their underlying indices on different cadences than Google Search Console, so changes are less immediately visible.

Do B2B SaaS companies really need a specialist GEO agency?

For established B2B SaaS firms with long research phases of 3 to 12 months and complex deal sizes above £50k ARR, specialist GEO expertise matters significantly. Research into B2B buying behaviour increasingly shows that LLMs influence high-intent discovery searches, and generic digital marketing teams typically miss nuances like integration research queries and procurement-driven prompts that AI systems surface.

A specialist like FirstMotion structures work around multi-stakeholder research patterns with content strategies that generalist agencies don't have the frameworks to address.

Will GEO replace traditional SEO entirely?

No, and that's a false choice. In 2026, both traditional search and generative search environments coexist, with different query types flowing to each. Foundational technical SEO work such as site architecture, crawlability, and core web vitals remains essential because those factors directly influence how ai platforms parse and trust content.

Think of GEO as an evolution that builds on traditional SEO foundations rather than a replacement for them. Ai seo and traditional SEO are complementary disciplines, not competing ones.

How can I tell if an agency genuinely understands GEO?

Ask specifically how they track ai visibility in generative AI engines (Gemini answers, ChatGPT citations, AI Overview mention frequency), whether they can show a sample GEO audit identifying entity gaps and answer-ready content optimisation opportunities, and how they think about training data and RAG sources.

Agencies with genuine technical expertise will discuss entity salience, keyword research for conversational queries, link building for authority signals, and content strategies for citation-worthiness. Be cautious of agencies that use ai seo language without being able to show you what that means in practice.

What should I have ready before engaging a London GEO agency?

At minimum, you'll need access to Google Analytics and Google Search Console, documentation of your key ICPs and buyer personas, a map of your core product lines and positioning, and clarity on your commercial priorities including target verticals, geographies, and average deal size.

Effective GEO work requires input from product marketing, content, sales, and RevOps. FirstMotion typically starts with a combined SEO and GEO discovery and buyer-journey workshop to align these inputs before heavy implementation begins, ensuring content strategies connect directly to business growth objectives and the queries that drive organic traffic and pipeline.

What's the difference between GEO and answer engine optimisation?

GEO focuses on optimising content, structured data, and brand signals so that generative ai platforms cite and recommend your business in their responses. Answer engine optimisation is a closely related discipline focused specifically on securing positions in direct answer features: featured snippets, voice search responses, and AI Overview answer boxes.

The best generative engine optimisation agencies treat both as complementary, ensuring your brand is visible across all ai search environments rather than optimising for one format in isolation. Content optimisation and digital PR both play a role in building the authority signals needed for consistent coverage across platforms.

This article was updated on 18th March 2026

When this post was written in August 2025, the evidence on AI traffic quality was limited to early studies. There are now multiple primary datasets across different industries and time periods. The direction is consistent: AI referral traffic converts at higher rates than traditional organic for B2B and high-consideration purchases. The effect is weaker or neutral for transactional ecommerce.

The most robust study: Seer Interactive (B2B software, October 2024 to April 2025)

Seer Interactive analysed GA4 data from a single B2B software client across six AI platforms, tracking 1,370 AI-driven conversions against almost 14 million organic sessions. ChatGPT converted at 15.9%, Perplexity at 10.5%, Claude at 5%, Gemini at 3%, versus Google organic at 1.76%. ChatGPT users viewed 2.3 pages per session on average - nearly double the organic search average of 1.2 - suggesting they arrived mid-funnel, having already researched and compared options inside the AI tool.

Ahrefs: first-party data showing 23x conversion rate advantage

Ahrefs published its own internal data in June 2025: AI search traffic accounted for 0.5% of total visits but drove 12.1% of all new signups - a 23x higher conversion rate than organic search. These users also viewed 50% more pages per visit and had lower bounce rates. This is first-party data from Ahrefs on their own site, using Ahrefs Web Analytics.

Semrush: broader cross-industry finding

Semrush's July 2025 research found LLM visitors convert 4.4x better than organic search visitors on average. Their explanation: by the time someone clicks through from a ChatGPT response, the AI has already summarised their options and effectively pre-qualified the visitor. They arrive ready to act, not still browsing.

Microsoft Advertising: Copilot-driven journeys and lower-funnel conversion

Microsoft Advertising's April 2025 analysis found that Copilot-powered purchase journeys are 33% shorter and 76% more likely to lead to lower-funnel conversions than journeys that do not involve Copilot. This is first-party data from Microsoft's own advertising platform.

Important nuance: the effect varies by sector

Not all AI traffic converts equally. Seer Interactive notes their B2B software finding may not generalise to transactional ecommerce where purchase intent is different. Semrush's cross-industry figure of 4.4x is an average across research-heavy and transactional categories. The conversion advantage is most consistent for B2B, SaaS, professional services, and other high-consideration purchases — the exact markets this blog addresses.

Update: Google have shared their own thoughts on quality of traffic coming from AI - read more here.

The increase in use of AI powered tools like ChatGPT, Perplexity, Claude, and Google’s AI Overviews and AI Mode is transforming how users discover content. While traditional SEO has long dominated  organic user acquisition strategies, the emergence of AI-driven answers is shifting the focus and putting more attention on quality over volume.

In a world where attention is scarce and zero-click search is on the rise, the big question is no longer "how much traffic?" but "what kind of traffic?"

Is AI growing it's share of search volume over Google?

We don't believe any brands should be choosing between AI search and Google as if it's a case of having to pick one over the other. SEO is not dead, and Google is not going anywhere. But it's hard not acknowledge the shifting search behaviour, and some of the important differences between SEO and GEO.

Research from clickstream data provider Datos recently highlighted that in the United States, the share of users that went to chatbots rather than traditional search engines reached 5.6% in June, up from 2.48% in June 2024 and 1.3% in January 2024. While Google still commands the lion's share of search activity, the growth of AI tools suggests a new class of traffic is emerging.

Are AI referral traffic conversion rates higher than Google?

Recent studies are starting to uncover a surprising pattern: AI search traffic, while lower in volume, may be significantly higher in quality.

• Ahrefs (June 2025) reported that AI search accounted for just 0.5% of their total visits, but drove 12.1% of all new signups. That’s a 23x higher conversion rate than organic search.
• These users also viewed 50% more pages per visit and had lower bounce rates, suggesting higher engagement.

In other words, AI referrals might be smaller in number, but they punch well above their weight.

Platform specific performance: ChatGPT and Perplexity

The picture becomes even clearer when looking at individual AI platforms.

A Seer Interactive case study found:

• ChatGPT accounted for 61% of AI-driven visits, Perplexity ~24%, Gemini ~15%
• AI visitors viewed an average of 2.3 pages/session compared to 1.2 for Google organic
• Engagement rates for AI referrals were on par with organic (~60%) but delivered 100% more attributed conversions year-on-year (Seer Interactive)

These tools appear to act as mid-to-late funnel accelerators: users arrive more qualified, more curious, and more ready to act.

Does AI SEO traffic convert higher in B2B SaaS?

We love this data study from Goodie showing a 56.3% higher close rate from leads that originated in AI search agents compared to Google or Bing.

Out of all the platforms analysed, ChatGPT was the most efficient B2B traffic source that they identified with nearly double the lead:close rate of traditional search engines. 

For B2B marketers, this means vertical context matters. But even modest AI visibility can yield strong ROI if aligned to the right funnel stage. Whilst Google was still leading top of funnel referral traffic, ChatGPT was clearing referring better quality, ready to convert traffic.

Why do AI referrals convert better?

Several factors may explain the high performance of AI referred traffic over Google referred traffic:

• LLM tools act as buyer enablement engines: they answer specific questions aligned with real problems
• Users arrive further down the funnel: often in exploration, comparison, or evaluation stages
• Less noise, more relevance: AI links are often more direct and intentional than search listings

The result? Higher commercial intent and better conversion efficiency.

Final thought: Smaller volumes, higher stakes

In the age of AI native B2B buyer journeys, it's not just about reaching more people - it's about reaching the right ones. B2B SEO has always been about quality over traffic, but at FirstMotion we think that's more important than ever now.

AI tools may deliver fewer users, but if those users convert at 10x or 20x the rate, the economics shift dramatically. As visibility in these tools becomes more competitive, now is the time to build an AI first visibility strategy that drives revenue, not just rankings.

The world of B2B SaaS is built on discovery. Digital transformation has accelerated changes in B2B SaaS discovery, reshaping how buyers and businesses interact with solutions. For years, discovery has meant mastering search engines through traditional SEO: keywords, backlinks, and ranking mechanics. Search engine optimization (SEO) is the process of improving the quality and quantity of website traffic from search engines, helping buyers discover relevant content. But a major shift is underway. Buyers are no longer typing a few words into Google and scrolling through ten blue links. They are asking questions in natural language, expecting instant, context-aware answers, and AI search has created new ways for buyers to discover solutions. This is the AI search revolution, and it is transforming how B2B SaaS companies and businesses are found, evaluated, and chosen. In this article, we explore the behaviour changes driving this shift, how AI search differs from traditional search, what it means across platforms, and the strategic implications for SaaS marketing leaders, including the impact of AI search on B2B SaaS businesses.

The Search Behaviour Shift

The B2B buyer journey has always been research-intensive. A typical SaaS purchase involves multiple stakeholders, months of consideration, and dozens of touchpoints. Traditionally, search engines like Google acted as the gateway to information. Buyers typed in keywords such as “best CRM for mid-sized businesses” or “enterprise project management software” and sifted through results, blogs, and review sites. Today, that same buyer is just as likely to turn to AI search tools. Customers now expect more conversational and context-aware answers from these tools. Instead of typing “best CRM”, they might ask:

• “Which CRM platforms integrate natively with HubSpot and support AI automation?”
• “What are the key differences between Salesforce, Pipedrive and Zoho for a 100-person B2B sales team?”

The difference is subtle but profound. Search is no longer about keywords, it’s about conversations. AI-powered engines automatically interpret a wide range of search queries, compare options, and summarise insights instantly. AI-powered search engines use Natural Language Processing (NLP) and Machine Learning (ML) to understand user intent and context. In many cases, buyers receive answers directly in the search results without visiting a given page. This means buyers are reaching informed conclusions faster, with fewer clicks, and often without ever landing on a vendor’s website. For SaaS companies, this shift means visibility and influence are no longer guaranteed by simply ranking high on Google.

Traditional Search Engine Optimization vs AI Search

Indexing and file management practices have evolved in AI search, with less emphasis on manual control of files and more on structured data and semantic understanding.

Traditional SEO rewarded content volume, technical optimisation, and backlinks. It relied heavily on PageRank, indexing, and managing files and URLs to ensure visibility in search results. For example, managing multiple URLs and same content was crucial, specifically through canonical tags and redirects to consolidate link equity and avoid duplicate content issues. Writing content and creating content remain important, but the focus has shifted toward authority and clarity. The choice of domain and descriptive URLs can still influence search visibility, especially when targeting specific markets or improving user experience. Creating compelling and useful content influences a website’s presence in search results more than any other SEO suggestions. It is less about chasing every keyword and more about ensuring your solution is consistently represented in AI-generated answers.

Platform Differences

AI search is not one monolithic channel. It manifests differently across Google’s SGE, independent AI tools, review platforms, and social networks. SaaS marketers must consider visibility across all these points of influence. Providing access to valuable resources across platforms is essential for enabling member participation and keeping users informed.

Connecting different types of content, including forum posts and other user-generated resources, can enhance visibility in AI search by improving discoverability and supporting ranking considerations.

Strategic Implications for B2B SaaS

The shift to AI search demands a broader strategy. SaaS companies must optimise for authority, structure, and presence across multiple platforms, while measuring success in new ways. It is also important to promote your company and services both online and offline to maximize reach and brand impact.

From Search to Conversations

The AI search revolution is not about the death of SEO, but its evolution. Traditional SEO principles — clarity, relevance, authority — still matter. But they must be reframed through the lens of conversations, not keywords. For B2B SaaS companies, this is both a challenge and an opportunity. The challenge lies in adapting fast: rethinking content strategies, investing in structured knowledge, and diversifying presence beyond Google.

With the introduction of AI mode in search engines, which leverages the web using a query fan-out technique to break down search queries into sub-topics, answers are generated with greater relevance and depth. AI-generated content is created by synthesizing information from across the web, drawing on a vast array of sources to provide comprehensive responses. Large Language Models enable AI-powered search to generate original content or summaries by synthesizing information from multiple sources.

The opportunity is clear: those who embrace AI search early will capture disproportionate visibility, shaping buyer perceptions before competitors catch up. The companies that thrive will be those that understand a simple truth: in B2B SaaS, discovery is no longer about being the loudest voice on Google. It’s about being the trusted answer wherever buyers ask their questions.

Measuring Success in Modern Search

In the rapidly changing world of search engine optimization, understanding how to measure success is more important than ever. As search engines evolve and user expectations shift, relying solely on traditional metrics like keyword rankings or organic traffic no longer provides a complete picture. Modern SEO requires a broader approach—one that explores how your content is discovered, cited, and engaged with across a variety of search platforms.

To effectively gauge the impact of your SEO efforts, focus on insights that reflect the true nature of today’s search environment. This includes tracking how often your brand or website is referenced in AI-generated search results, monitoring user engagement with your content, and analyzing the visibility of your pages across multiple search engines and conversational platforms. Additionally, consider metrics such as share of voice in industry-specific queries, the quality and relevance of inbound links, and the frequency with which your resources are included in curated lists or directories.

By exploring these modern KPIs, businesses can gain a deeper understanding of their search performance and make data-driven decisions to optimize their strategies. The key is to move beyond surface-level numbers and focus on the insights that truly matter—how users are finding, interacting with, and trusting your content in an increasingly complex digital landscape.

FAQs

1. Will SEO still matter in the age of AI search?
Yes. SEO remains critical, but its focus is evolving. Technical SEO, site performance, and structured content all remain relevant. However, content must be designed to be cited by AI systems, not just ranked by Google.

2. How can B2B SaaS companies measure success in AI search?
Beyond traditional rankings, SaaS marketers should track how often their brand is mentioned in AI-generated responses, presence on review platforms, and share of voice in conversational search engines like ChatGPT or Perplexity.

3. What type of content performs best in AI search?
AI engines prefer clear, structured, and authoritative content. This includes product comparison tables, API documentation, in-depth guides, customer case studies, and thought leadership that directly answers buyer questions.