GEO for B2B SaaS: a 7-step guide to getting named in AI answers

GEO for B2B SaaS means getting your product named when a buyer asks ChatGPT, Perplexity, Gemini or Google's AI answers for a shortlist. It's not a new channel. It's SEO, done for questions instead of keywords, with a few technical steps that most SaaS sites still get wrong.

I lead search and AI visibility at Fourward, so these are the steps I'd take for a B2B SaaS company starting today. It uses Google's own guidance, the crawler docs from OpenAI, Anthropic and Perplexity, and a check I ran on 21 October 2026 of how 57 well-known B2B SaaS companies handle AI crawlers.

I work at Fourward, which sells SEO, AEO and GEO work to B2B SaaS teams. Every outside fact links to its source. The crawler numbers come from my own check of each company's public robots.txt file on 21 October 2026.

What GEO means for a B2B SaaS company

GEO stands for generative engine optimization. The term comes from a Princeton-led research paper, accepted at KDD 2024, which found that changing how content is written can raise its visibility in AI answers by up to 40%. AEO, answer engine optimization, means much the same thing.

Google is blunt about how it sees this. Its guide to generative AI features in Search says that from its side, optimizing for AI search "is optimizing for the search experience, and thus still SEO". So for Google's AI Overviews and AI Mode, GEO is SEO done well.

ChatGPT, Claude and Perplexity add two things on top. They run their own crawlers, which you have to let in. And they build answers by searching the web and summarizing what they find, so being mentioned on other sites matters as much as your own pages.

Why it matters more for SaaS

B2B buyers now start their research with AI. Forrester's 2026 buying study calls generative AI search the starting point for B2B buyers. Google's AI Overviews reach more than 2.5 billion people a month, and AI Mode more than 1 billion.

The clicks that used to follow a search are shrinking. When an AI summary appears, people click a normal search result on 8% of visits, against 15% without one. For a SaaS company, that means the shortlist is often decided before anyone reaches your site.

And SaaS questions are shortlist questions. Buyers don't ask AI "what is a CRM". They ask which CRM suits a 20-person sales team, how two tools compare, and what a tool costs. If the AI can't find a clear answer about you, it names someone else.

Step 1: Let the right AI crawlers in

Each AI company runs more than one bot, and they do different jobs. Blocking a training bot keeps your content out of future models. Blocking a search bot takes you out of the answers. These are the ones that matter, from each company's own documentation:

Sources: OpenAI, Anthropic, Perplexity and Google.

What 57 B2B SaaS leaders do

I checked the robots.txt files of 57 well-known B2B SaaS companies, including HubSpot, Stripe, Atlassian, Notion, Zendesk and Datadog, on 21 October 2026. The pattern is clear:

• Search botsNone of the 57 fully blocks OAI-SearchBot, ChatGPT-User, Claude-SearchBot or PerplexityBot.
• Training botsOnly Figma and Loom block GPTBot. Figma is the only one that blocks ClaudeBot and Google-Extended.
• Most say nothingOnly 10 of the 57 name GPTBot at all. The rest let every AI bot in under their general rules.
• The careful middleFigma's robots.txt blocks the training bots, then gives the search bots a list of more than 9,000 pages they may read, such as its homepage, pricing and blog posts.

robots.txt is only half of it. Firewalls and bot protection can block AI crawlers even when robots.txt allows them, and you won't see it in the file. Our free AI crawler checker tests both.

Step 2: Make sure Google can index and quote you

Google's AI Overviews and AI Mode draw on its normal search index. Google's guide says a page must be indexed and eligible to show with a snippet to be used. A nosnippet tag or a page Google can't render keeps you out.

For SaaS sites, the usual problems are:

• Pages built in the browser. Pricing tables and feature lists loaded by JavaScript can arrive empty for crawlers. Serve the key facts in the HTML.
• Gated content. Facts behind a demo form or a login can't be read or quoted.
• Old subdomains and duplicates. Docs, help centres and old marketing sites that compete with each other split the signal.

Check Search Console's page indexing report first. If your pricing or comparison pages aren't indexed, nothing else in this guide will help.

Step 3: Write the pages buyer prompts need

Most SaaS sites have a homepage, feature pages and a blog. Buyer prompts need different pages. This is the gap I see most often:

Google's guide asks for "non-commodity content" with "a unique point of view", and warns against pages that could "easily be produced by a generative AI model". For SaaS, your own data is the easiest way there: usage benchmarks, pricing research, migration numbers, customer results with names attached.

Comparison pages are where I'd start. Keep them fair, because AI engines read your competitors' pages too. Our guides to the best AI visibility tools and Peec AI alternatives show the format: same questions for every option, facts linked to the source.

Step 4: State your facts plainly

AI answers are built from sentences they can lift and trust. Vague copy like "the platform that powers modern teams" gives them nothing to quote. Put these facts in plain sentences, on pages that load without JavaScript:

• What it is"[Product] is a [category] for [who]." One sentence, on the homepage and the about page.
• Who it's forTeam size, industry and the jobs it does. Also who it isn't for.
• PriceStarting price, what's included and how billing works.
• IntegrationsThe tools it connects to, named and linked.
• ProofCustomer names, numbers and dates you're allowed to publish.

Write in short sections with headings that match the question, and keep dates on anything that changes. In the Princeton GEO study, citing sources, adding quotations and adding statistics were the three changes that lifted visibility most, by 30 to 40%.

You don't need to cut your pages into tiny pieces. Google's guide says plainly that there's "no requirement to break your content into tiny pieces" and that you "don't need to write in a specific way" for AI.

Step 5: Get mentioned where AI looks

When ChatGPT or Perplexity answers a shortlist question, it searches the web and leans on the pages it finds: listicles, review sites, community threads, partner pages and news. If those pages don't mention you, the answer won't either.

1. Find the cited pages. Ask your top 20 buyer questions in ChatGPT, Perplexity and Google AI Mode, and note every source they cite. An AI visibility tool does this on a schedule.
2. Fix your own listings first. Make sure review-site and directory profiles have current pricing, categories and descriptions.
3. Ask to be added. Listicle authors update their lists. Send facts, not a pitch: what you do, who for, the price and a screenshot.
4. Show up in communities honestly. Answer questions where your buyers ask them, as yourself, without spam.
5. Use partners and PR. Integration partners' directories and real news coverage are pages AI trusts.

Step 6: Describe your company with structured data

Google says structured data isn't required for its AI features, and no special markup exists for them. It's still worth doing, because it removes doubt about who you are:

• Organization: your legal name, logo, website and sameAs links to LinkedIn, G2, Crunchbase and other profiles.
• SoftwareApplication or Product: category, operating system, price and offers on your product and pricing pages.
• FAQPage and Article: on guides and comparison pages, matching the visible text.

Keep your company name, description and category the same everywhere. AI engines connect facts across sites, and three different taglines make that harder.

Step 7: Measure what AI says about you

There are three ways to see results, and you need at least two:

• Search ConsoleGoogle's generative AI performance report shows how often links to your site appear in AI Overviews and AI Mode. It shows impressions, not clicks, and needs enough data to appear.
• AnalyticsVisits from chatgpt.com, perplexity.ai, gemini.google.com and copilot.microsoft.com show up as referrals in GA4.
• Prompt trackingA tracker asks AI engines your buyer questions every day or week and records whether you're named. Our guide to the best AI visibility tools compares 11 of them.

What you can skip

Some popular GEO advice doesn't hold up against what the platforms say:

• llms.txt for Google. Google's guide says Google Search doesn't use these files, and keeping one will "neither harm nor help" you there. I checked what 57 B2B SaaS companies put in their llms.txt files if you want one for other tools.
• Special AI markup. No schema type gets you into AI answers.
• Keyword stuffing. In the Princeton GEO study it gave "little to no improvement", and did worse than doing nothing on Perplexity.
• Rewriting everything for AI. Clear writing for people already works.
• Mass AI-written pages. Google warns against content anyone could generate, and AI engines have no reason to cite it.

A 90-day GEO plan for a SaaS team

If you'd rather have a team run this, our guide to the best GEO agencies compares 12, and the in-house vs agency guide covers what each option costs.

FAQs

Sources

1. Google's guide to optimizing for generative AI features on Google Search, Google Search Central, updated July 2026.
2. Generative AI performance report (Search), Search Console Help.
3. Google's common crawlers, including Google-Extended, Google Crawling Infrastructure.
4. Overview of OpenAI crawlers, OpenAI.
5. Does Anthropic crawl data from the web, and how can site owners block the crawler?, Anthropic.
6. Perplexity crawlers, Perplexity.
7. GEO: Generative Engine Optimization, Aggarwal et al., KDD 2024.
8. The State Of Business Buying, 2026, Forrester, January 2026.
9. Google I/O 2026 opening keynote, Google, May 2026.
10. Google users are less likely to click on links when an AI summary appears in the results, Pew Research Center, July 2025.
11. figma.com/robots.txt, and the robots.txt files of the 57 companies listed in our llms.txt study, checked 21 October 2026.