How to Do GEO: A Complete Guide for B2B SaaS (+13 Tactics)

Your buyers are searching differently. A growing number of B2B buyers now start their research in Perplexity, Google AI Overviews, or ChatGPT. Some of them never click through to a website at all.

For a B2B SaaS buyer, who is already research-heavy and detail-oriented, that shift is happening faster than most marketing teams are accounting for. This blog covers how to do GEO for B2B SaaS: what it is, why it matters for a longer sales cycle, and how it sits alongside (not instead of) your existing SEO strategy.

Key Takeaways

• SEO is foundational: GEO won't work without solid SEO underneath it. Think of them as layers instead of rivals.

• New search, real stakes: A growing share of B2B buyers are starting their research in AI tools. That means you’re invisible in the research phase if you're not in those answers.

• Be the cited source: GEO is about getting your content referenced inside AI answers as well as appearing on search engine results pages (SERPs).

• Authority signals matter: E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is even more critical for GEO than traditional SEO.

• Early mover advantage: Most of your SaaS competitors are still ignoring GEO. That won't last so be quick.

What is GEO?

GEO stands for Generative Engine Optimisation. It's the practice of structuring your content so it gets cited, summarised, or referenced by AI-powered search tools: Google AI Overviews, Perplexity, ChatGPT Search, Claude, Microsoft Copilot, and any other LLM that pulls from the web.

The difference between traditional SEO and GEO comes down to one word: citation. With SEO, you're competing for a position on a results page. With GEO, you're competing to be the source the AI quotes in its response.

You might also see it called AEO (Answer Engine Optimisation) but I’ll continue to use GEO throughout. It's the more widely used term right now.

Is GEO important for B2B SaaS?

Yes. More than you'd think. Gartner predicted in 2024 that traditional search engine volume would drop by 25% by 2026 as AI chatbots absorb more of the research phase (though the methodology of this study has been disputed by Search Engine Land, Datos and others). But the figures seem to back up the general sentiment: HubSpot saw a 70-80% drop in organic search traffic between 2024 and 2025. CNN saw 27-38% declines.

For B2B SaaS, where the buying journey is longer, more research-heavy, and involves multiple stakeholders, that shift is significant. A majority (94%) of B2B buyers now use generative AI as a key source of information throughout the purchasing journey. 

Adobe also reported that between 1 November and 1 December 2025, AI-referred traffic grew significantly: 

• Retail: +693% YoY

• Travel: +539%YoY 

• Financial services: +266% YoY 

• Banking: +344% YoY 

• Media/Entertainment: +92% YoY 

• Tech/Software: +120% YoY

There's also the zero-click problem. A growing share of Google searches now end without any click at all. The AI Overview answers the question right on the results page. Your content might be doing the work and getting none of the traffic.

What's the difference between GEO and SEO?

GEO and SEO are not competing. They're layers. SEO (Search Engine Optimisation) is about getting your content indexed, ranked, and clicked on a traditional search results page. GEO is about getting your content cited inside an AI-generated answer.

Weak SEO means weak GEO. Your domain authority, structured data, internal linking, and page speed all feed into whether an AI engine considers your content worth citing. SEO is the foundation and GEO is what you build on top of it.

That said, the priorities do look different in practice:

Traditional SEO prioritises:

• Keyword placement and density

• Backlink profile and domain authority

• Technical site performance

• Click-through rate from results pages

GEO prioritises:

• Direct, specific answers to conversational queries

• Cited data and referenced sources

• Clear structure: headers, definitions, schema markup

• E-E-A-T signals: real expertise, real experience, demonstrable authority

Does GEO replace SEO?

No. And anyone telling you it does is either selling something or hasn't thought it through.

AI engines pull from content they've already indexed and deemed authoritative. That process depends entirely on the same signals SEO has always optimised for: domain trust, technical structure, content quality.

How to do GEO: 13 practical tactics for B2B SaaS

Now you understand what GEO is, it’s time to work on making yourself more visible to generative AI engines. Here are 13 practical tactics that’ll help you do just that.

#	Tactic	Difficulty	Impact	Do it first?
1	Write clear, direct definitions	Low	High	Yes
2	Answer the question in first 40–60 words	Low	High	Yes
3	Use question-based headers	Low	High	Yes
4	Pack in facts and stats	Medium	Very high	Yes
5	Add FAQ sections with schema markup	Medium	Very high	Yes
6	Build content clusters	High	Very high	Plan now
7	Earn off-site mentions	High	High	Plan now
8	Maintain technical hygiene	Medium	High	Yes
9	Update content regularly	Low	High	Yes
10	Optimise for conversational queries	Medium	High	Plan now
11	Build E-E-A-T signals properly	Medium	High	Plan now
12	Track AI visibility	Medium	Medium	Yes
13	Add schemas across your website	Medium	High	Yes

1. Write clear, direct definitions

AI tools pull clean definitional content and the research backs this up. The Princeton/Georgia Tech GEO study analysed over 10,000 search queries and found that specific GEO methods, including structured, direct explanations, boost content visibility in AI-generated responses by up to 40%. That's the difference between being cited and being invisible.

If you write about a topic, include a crisp one-to-two sentence definition near the top. Not buried in paragraph three. Think of it as writing for someone who needs the answer in ten seconds because that is exactly what is happening when an AI is pulling a citation.

AI systems extract the clearest, most confident statements they can find. Vague, hedging definitions get skipped. ‘Our platform supports a wide variety of use cases across multiple verticals’ tells an AI nothing. ‘Our platform automates invoice processing for B2B SaaS companies with 50+ clients’ is citable.

2. Answer the actual question in the first 40–60 words

The content that gets cited tends to front-load the answer and 40-60 words is the sweet spot. It should be long enough to be a complete, standalone answer and short enough to fit naturally into a synthesised AI response.

Research from content analytics firm Averi.ai calls this the "citation block" (the exact text a model is likely to extract when answering a related query). Every major section of a guide should have one.

In practice, this means starting every section with a direct declarative statement, then adding supporting context. The AI reads the first sentence and decides whether the rest is worth pulling. If your intro is ‘In this section, we explore the various ways in which…’ the rest doesn't get a fair hearing.

Here's what that looks like in practice:

Inadequate: ‘In this article, we will discuss the many important factors involved in customer churn for B2B SaaS businesses, including…’

Good: ‘B2B SaaS companies lose an average of 6–10% of their customer base annually to churn, according to ProfitWell. Most of that loss is preventable if caught in the first 90 days.’

3. Use structured headers that mirror real questions

Instead of ‘Our Approach,’ write ‘How does [X] work?’ Instead of ‘Features,’ write ‘What can [X] do?’ Instead of ‘Pricing,’ write ‘How much does [X] cost?’ AI tools are trained on how humans ask questions so try and match that syntax.

Most AI systems use a technique called query fan-out. They spin off multiple related searches from a single user question and pull supporting sources from across the web. According to Google's own documentation on AI search, clear question-based headers increase the probability of your content being pulled in as a supporting link. 

Rankio's analysis of LLM ranking factors found that question-style H2s matching the phrasing of natural language queries were among the highest-impact structural changes a page could make.

There's a simple test: open ChatGPT or Perplexity. Type the question your ideal prospect would ask. If your headers don't resemble those questions, your content architecture is built for a search engine that no longer dominates the query.

4. Pack in the facts

Data points, statistics, and specific figures are catnip for AI citations. Multiple studies confirm this. Research from the Princeton/Georgia GEO paper found that adding statistics to content was one of the highest-performing GEO methods tested. It outperformed keyword optimisation and generic quality improvements. AI systems can only cite what they can confidently attribute.

Think about it from the model's perspective. If an AI needs to explain SaaS churn to a user, it can either say ‘many companies struggle with churn’ or it can cite ‘according to ProfitWell, B2B SaaS companies lose an average of 6-10% of their customer base annually.’ One of those is citable. One is not.

Cite the source and link to it. Vague claims like ‘significant improvement’ or ‘substantial growth’ provide nothing for an AI to extract. Specific claims like ‘40% increase’ give it something concrete.

This is also a good moment to note: AI is notorious for hallucinating statistics when there aren't any available. If your content doesn't provide real data, the model may invent some and attribute it to you anyway, incorrectly.

5. Include an FAQ section (and mark it up properly)

Every guide you write should have one. Frequently Asked Questions (FAQs) directly mirror conversational AI queries, which makes them structurally ideal for being extracted and cited. Keep them short, specific, and genuinely useful.

Once you’ve written your FAQ, create and implement your FAQschema. 

What is an FAQschema?

Think of FAQ Schema as a translator for search engines. While humans see a nice-looking list of questions and answers on a webpage, search engines see a wall of text.

FAQ Schema is a specific type of structured data code (using JSON-LD) that tells Google, ‘Hey, this part of the page is a specific question, and this part is its direct answer.’

So, how important are these schemas, exactly? 

According to Frase.io's analysis of AI citation patterns, pages with FAQ Page schema markup are 3.2x more likely to appear in Google AI Overviews. A separate study by Relixir across 50 B2B and e-commerce domains found a median 22% increase in AI citations for pages with properly implemented FAQ page schema, compared to pages without structured data.

There's a paradox worth flagging: FAQ schema became less visible in traditional Google SERPs after Google restricted rich results for most sites in 2023. But at the same time, FAQ schema importance skyrocketed for AI search. 

6. Implement different types of schemas 

FAQ schema gets most of the attention right now, and for good reason. But it's one piece of a much larger structured data picture. 

For B2B SaaS, your buyers are researching complex products with long sales cycles. AI tools are increasingly being used to surface and compare vendors at the research phase. If your structured data is incomplete, you're handing that visibility to competitors who bothered. Here are the schema types worth prioritising:

• Organisation Schema This is your baseline. It tells search engines and AI tools your company name, logo, website, social profiles, and contact information. 

• SoftwareApplication Schema Built for you. SoftwareApplication schema lets you mark up your product name, category, operating system, pricing model, and aggregate rating. 

• Article and BlogPosting Schema Every blog you publish should carry Article or BlogPosting schema. It marks up the headline, author, publish date, and content type. 

• BreadcrumbList Schema Underrated. BreadcrumbList schema maps your site structure in a format that's machine-readable. 

• HowTo Schema If you publish guides, tutorials, or step-by-step content (which, if you're reading this, you probably do), HowTo schema writes up each step individually. 

• Review / AggregateRating Schema Tread carefully here. Google penalises self-serving review schema. But if you're embedding third-party reviews (G2, Capterra, Trustpilot) on your site and marking them up correctly, AggregateRating schema helps AI tools surface your product alongside reputation signals. 

If you're not sure where to start, Organisation and SoftwareApplication schema are your first two. Get those right, and you've already done more than most of your competitors.

7. Build content clusters, not standalone posts

AI tools build a picture of your brand's authority across multiple pieces of content, not just one. A site with a single blog post about CRM software is less authoritative to an LLM than a site with 15 interlinked articles covering CRM features, comparisons, implementation guides, case studies, and FAQs. The model interprets depth as expertise.

Generative AI evaluates how comprehensively your site covers a topic. Structural changes like direct answers and JSON-LD might be picked up within days but topical authority takes weeks to months to build.

The brands doing this well are moving toward what some are calling ‘answer kits’. These are interconnected content clusters that provide definitive answers to a specific topic area. This might be a foundational guide, a more tactical post, a comparison piece, a FAQ hub, a case study, and a glossary. All interlinked and referencing each other as related reading. 

According to Onely's research on AI citation patterns, 82.5% of AI citations link to deeply nested, topic-specific pages rather than homepages. Pillar pages establish authority, but cluster pages earn the citations.

8. Get mentioned off your own website

Earned mentions on Reddit, G2, Capterra, LinkedIn, Quora, and industry publications all contribute to how AI systems perceive your credibility. This is not the same as link building. This is about building what some researchers are calling ‘entity authority’. This is the collective signal from across the web that your brand belongs in conversations about a specific topic.

Reddit, LinkedIn, and YouTube were among the top cited sources by major LLMs in October 2025 according to Search Engine Land's analysis of citation patterns. That matters, because it means community-generated content about your product (like reviews, discussions, comparisons) carries direct weight in AI citations, not just in Google rankings.

There is also a specific structural reason why off-site mentions matter more for GEO than for traditional SEO. Onely's research found that Google AI Overviews are 6.5x more likely to cite content through third-party sources than through a brand's own domain. When independent sources discuss your brand in relevant contexts, AI interprets it as validation. 

For B2B SaaS in particular: make sure your G2 and Capterra profiles are current and detailed. Encourage reviews and respond to them. Participate in relevant subreddits and LinkedIn communities where your buyers are. Publish bylined articles in industry publications. These activities feel like PR but increasingly, they are also GEO.

9. Maintain technical hygiene

If AI crawlers can't read your site, none of the above matters. This is GEO's version of technical SEO and it is just as foundational.

A few specific things to check:

• robots.txt and crawler access: Several major AI platforms use their own crawlers (GPTBot for OpenAI, Google-Extended for Google, PerplexityBot for Perplexity). If your robots.txt file is blocking these user agents, you're actively preventing yourself from being indexed.

• Schema markup: Properly implemented JSON-LD structured data is now considered foundational for AI search visibility. According to a 2025 head-to-head experiment reported by Search Engine Land, the page with robust, policy-compliant schema appeared in AI Overviews while the poorly-implemented and no-schema pages did not. 

• JavaScript rendering: Most AI crawlers cannot parse JavaScript. If your content is loaded dynamically via JS rather than being present in your HTML, it is largely invisible to LLMs. 

• Mobile optimisation: Research from the 2025 AI Visibility Report found that the majority of AI Overview citations come from mobile-indexed pages. If your mobile experience is broken or significantly degraded, you're disadvantaged for AI citation regardless of how good the content is.

10. Update your content regularly

AI tools favour fresh, current content, especially Perplexity, which is built around real-time information retrieval. A blog post from 2022 with outdated statistics is less likely to be cited than one reviewed and updated in 2025. 

Onely's analysis, using Digitaloft research, found that 76.4% of ChatGPT's most-cited pages were updated in the last 30 days. URLs cited in AI results are 25.7% fresher on average than those in traditional search results. That gap means a content refresh strategy (systematically updating your highest-value articles with current data, updated statistics, and new examples) is a direct GEO lever.

GEO best practices research also notes that LLMs tend to favour the most recent version of an article matching a query over older ones with the same information. If you have a foundational piece that ranks well but hasn't been touched in 18 months, put it in the update queue now.

What to prioritise when updating: 

• Replace outdated statistics with current ones (and source them)

• Refresh examples to reflect the current state of the market

• Add a ‘last updated’ timestamp that is visible to both users and crawlers. 

Don't just change a word and re-publish as AI systems can detect thin updates.

11. Optimise for conversational, long-tail queries

‘Best CRM for B2B SaaS under 50 seats’ is how someone asks a question to an AI. ‘CRM software’ is what we used to target for SEO. Shift some of your keyword thinking to natural language questions that reflect how your buyers actually speak.

This is a structural shift in how you think about search intent. Traditional SEO optimised for short, high-volume keywords because that was how people typed into a search box. People are not typing into AI tools the same way. They are speaking to them in full sentences. 

‘What's the best project management tool for a remote SaaS team of 15 that already uses Slack and HubSpot?’

According to the 2025 AI Visibility Report, brand search volume, not backlinks, is now the strongest predictor of AI citations, with a 0.334 correlation. That means building brand awareness through content that targets the conversational queries your buyers use is directly connected to how often AI tools will mention you. The two things (brand authority and query relevance) are reinforcing each other.

12. Build E-E-A-T signals properly

Google's E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) has been around since 2018, but it has taken on new significance in the GEO era. AI systems need confidence indicators before citing your content. They cannot verify your qualifications directly so they look for proxies:

• Author bios with real credentials

• Transparent about-us pages

• Consistent publishing cadence

• External press mentions

• Case studies with named clients and real results

These are the signals that tell AI models your brand is trustworthy enough to cite. They also happen to be the signals that make you trustworthy to humans. Two specific signals worth calling out for B2B SaaS:

Named authorship

Content attributed to a named expert with a credible bio (ideally someone with a LinkedIn presence, external publications, and relevant credentials) is cited more reliably than anonymous content. If your blog posts say ‘By [Brand Name],’ consider changing that.

Third-party validation

Being cited in industry publications, analyst reports, and credible external sources signals to AI systems that you are recognised as an authority beyond your own domain. This is where digital PR intersects with GEO directly. A mention in TechCrunch, a quote in a Gartner report, or a case study on a partner's website all contribute to your E-E-A-T profile.

According to Profound's analysis, the guide on Answer Engine Optimisation on their own site has been cited over 9,000 times across all LLMs they track. They attribute this partly to consistent E-E-A-T signals: named authorship, regular updates, external citations, and clear expertise indicators throughout the content.

13. Track your AI visibility

This is still maturing as a discipline but ‘hard to measure’ is not the same as ‘not worth doing.’ We did not have perfect attribution for content marketing in 2015 either, and the brands that invested anyway are the ones with the domain authority they still benefit from today.

The GEO Industry Report 2025 from Omnius found that AI search traffic converts at 4.4x the rate of traditional organic search. A separate study by Amsive found LLM traffic converting at 3.76% versus 1.19% for organic (a 216% improvement.) The traffic may be lower volume for now but the quality is not.

Tools for measuring AI visibility

Tool	What it tracks	Notes
Profound	Brand citation tracking across LLMs. Agent Analytics shows exact AI bot traffic to your site.	Covers ChatGPT, Perplexity, and Gemini.
Peec AI	Brand mention tracking in AI-generated responses with share-of-voice comparison against competitors.	Good for competitive benchmarking.
Semrush AI Toolkit	AI Overviews tracking and prompt testing for brand visibility.	Useful if you’re already in the Semrush ecosystem.
GA4	Referral source tracking for chatgpt.com, perplexity.ai, and similar domains.	Shows as direct or referral traffic depending on the session, but trackable.

The metrics to track as this matures:

• Citation frequency

• Share of voice versus competitors

• Context of mentions (positive/neutral/negative)

• Conversion rate from AI-referred sessions

Conclusion

GEO shouldn’t replace SEO - it should build on it. The B2B SaaS marketers who will win the next phase of search are building content that earns trust from both humans and machines: specific, cited, well-structured, and genuinely useful. The good news is most of your competitors haven't started yet. 

The SEO basics you've already invested in aren’t wasted. They're your GEO foundation.

If you want help auditing your current content for GEO readiness, or building a content strategy that covers both search channels from the start, that's exactly what I do.

Frequently Asked Questions (FAQ)

1. What is GEO in marketing?

GEO (Generative Engine Optimisation) is the practice of structuring your content to be cited or referenced by AI-powered search tools: Google AI Overviews, Perplexity, ChatGPT Search, Claude, and others. Unlike traditional SEO, which aims for clicks on a results page, GEO aims to get your content used as a source inside an AI-generated answer. For B2B SaaS brands, it's increasingly important as buyers use AI tools during the research and evaluation phase of their purchase journey.

2. Is GEO the same as SEO?

No, but they're closely linked. SEO focuses on ranking on traditional search result pages. GEO focuses on getting cited inside AI-generated responses. The critical thing to know: strong SEO is a prerequisite for GEO. AI engines pull from well-indexed, authoritative content. If your SEO foundations are weak, your GEO efforts won't get far. Think of SEO as the foundation and GEO as the next layer.

3. How do I know if my content is appearing in AI Overviews?

Check Google Search Console for AI Overview appearances. It's now available as a filter in the Performance report. For Perplexity and ChatGPT Search, manual testing is currently the most reliable method. Search your key B2B queries and check whether your brand or content is being cited in the sourced results. Make a habit of doing this monthly as these tools evolve quickly.

4. How long does GEO take to work?

It depends on your existing domain authority and how well your content is currently structured. If your SEO foundations are solid and your content is specific and well-cited, it can start appearing in AI responses within weeks of being indexed. For newer domains or thin content libraries, you'll need to invest in the SEO fundamentals first. That's the slower part. GEO is not a shortcut for weak content.

5. Is GEO relevant for B2B SaaS specifically?

Very much so. Arguably more than for most other sectors. B2B buyers research extensively before making decisions, and a growing share of that research is happening in AI tools. Being cited in an AI response during the research phase means your brand shows up before the buyer has even started formally evaluating vendors. For SaaS, where the sales cycle is long and trust-building matters, that early visibility is valuable.

6. Do I need a specialist to do GEO for me?

Not necessarily. The tactics in this blog are actionable without support. But if your content strategy is inconsistent, your brand voice is unclear, or you've been relying on unedited AI output, working with a specialist pays for itself quickly. GEO rewards authority, and authority takes deliberate strategy to build. If you'd like to talk through where your content stands, Olivia Cal offers free content audits to a limited number of B2B SaaS companies per month.