We Audited 24 B2B SaaS Companies for AI Visibility. Here's What We Found.

We ran AI visibility audits on 24 B2B SaaS companies over the past three months.

The companies ranged from Series A to Series C. They included Dreamdata, Avoma, metadata.io, Sybill, Arrows, Warmly, Siena AI, Coldreach, Sendspark, REGAL, Visto, and others across revenue intelligence, sales engagement, and marketing automation.

Every single one invests in content marketing. Most have solid SEO fundamentals. Some are even selling AI-powered tools themselves.

The average AI visibility score across all 24 companies was 40 out of 100.

That number should concern you.

What We Measured

Our audit evaluates five categories:

1. Structured data implementation (JSON-LD schema markup)
2. Content formatting for AI extraction (answer-first structure, definitions, steps, FAQ)
3. AI crawler accessibility (robots.txt permissions, crawl directives)
4. Citation presence (does your brand appear when AI tools answer relevant queries?)
5. Technical AEO readiness (internal linking, content hierarchy, metadata)

Each category contributes to a composite score out of 100. We tested citation presence across ChatGPT, Perplexity, and Google AI Overviews using category-relevant queries.

The score range across all 24 companies: 38 (lowest) to 62 (highest). Nobody cracked 65.

The Five Biggest Gaps We Found

1. Almost Nobody Has Schema Markup

Only 12% of the companies we audited had any JSON-LD schema markup on their site. That's 3 out of 24.

Schema markup is how you give AI systems structured, machine-readable information about your content. Without it, you're forcing LLMs to parse your HTML and guess what matters.

Most of these companies have engineering teams that could implement schema in a single sprint. They just haven't prioritized it.

2. Content Is Written for Humans Browsing, Not AI Extracting

This was the most common gap across all 24 audits.

Blog posts opened with long anecdotal intros. Key definitions were buried in paragraph four. Answers to obvious questions were scattered across multiple sections without clear headers.

Only 8% had FAQ sections structured for AI extraction. That's 2 out of 24.

LLMs need content formatted in a specific way to extract and cite it reliably. That means:

• Leading with the direct answer, then expanding
• Using clear H2/H3 headers that mirror how people ask questions
• Including definition-style sentences ("X is a Y that does Z")
• Structuring steps as numbered lists, not paragraphs
• Adding FAQ sections with concise, self-contained answers

If your blog reads like an essay, AI can't pull a clean answer from it. And if AI can't pull a clean answer, it won't cite you.

3. Zero Companies Had AI Crawler Permissions in robots.txt

This one surprised us.

Not a single company out of 24 had explicitly addressed AI crawlers in their robots.txt file. Most had standard Googlebot directives and nothing else.

Here's the thing: new AI crawlers like GPTBot, ClaudeBot, and PerplexityBot check your robots.txt. If you haven't addressed them, you're leaving your AI visibility to chance.

Worse, one company was actively shooting itself in the foot.

Sybill, an AI-powered conversation intelligence platform, was blocking AI crawlers in their robots.txt while simultaneously trying to build visibility in AI search. They were investing in content that AI literally could not access.

That's like running ads to a landing page that's behind a login wall.

4. Internal Linking Is an Afterthought

Most blogs we audited had weak internal linking structures. Posts existed as islands. Related content wasn't connected. Topic clusters were incomplete.

This matters for AI visibility because LLMs evaluate topical authority partly through content relationships. If you have 15 blog posts about revenue attribution but none of them link to each other, AI systems have a harder time recognizing you as an authority on that topic.

Dreamdata was an interesting case here. They rank well in traditional search for revenue attribution queries. They're even visible in AI search, showing up as the #2 result for their category in Perplexity. But their technical AEO score was still low because their content structure doesn't help AI systems extract and organize information efficiently.

Being visible today doesn't mean you're optimized. It means you have brand equity that's compensating for technical gaps. That won't last forever.

5. Companies Selling AI Tools Don't Practice What They Preach

This was the most ironic finding.

Visto, a company that sells GEO optimization services, had zero schema markup on their own website. No JSON-LD. No structured data of any kind.

Several other companies selling AI-powered marketing and sales tools scored below the average of 40/100. The assumption seems to be that building AI tools and being visible to AI tools are the same skill set. They're not.

Optimizing for AI visibility is a distinct discipline. It requires specific technical implementation and content formatting that most teams haven't learned yet, even teams that work with AI every day.

Why This Matters Now

Google AI Overviews are expanding. ChatGPT search is growing. Perplexity's user base is climbing.

Your buyers are already using these tools to research solutions. When a VP of Sales asks ChatGPT "what's the best conversation intelligence tool for mid-market teams," your brand either shows up or it doesn't.

The 29% citation rate we found means roughly 7 out of 24 companies appeared in at least one AI citation test. The other 17 were invisible.

Those 17 companies are spending money on content that AI search can't find, can't parse, or can't cite. That's not a future problem. That's a today problem.

The Scoring Breakdown

Here's how the 24 companies distributed across our scoring rubric:

• 55-62 (Top tier): 3 companies. Had some structured data, decent content formatting, visible in at least one AI citation test. Still had significant gaps.
• 40-54 (Middle tier): 9 companies. Typically had one strength (like brand visibility or good content volume) but multiple technical gaps.
• 38-39 (Bottom tier): 12 companies. Minimal to no structured data, no AI-formatted content, no citation presence.

Half the companies we audited scored below 40. These aren't small startups with no marketing budget. These are funded B2B SaaS companies with content teams, SEO strategies, and six-figure annual marketing spend.

The gap isn't resources. It's awareness.

What You Can Do This Week

You don't need to overhaul your entire content strategy. Start with these five fixes that take less than a week each.

1. Add JSON-LD Schema to Your Top 10 Pages

Start with BlogPosting schema for your highest-traffic articles and Organization schema for your homepage. There are free generators online, or your dev team can implement it from schema.org documentation.

This is the single highest-impact technical change you can make. It takes a few hours and immediately makes your content more parseable for AI systems.

2. Audit Your robots.txt for AI Crawlers

Check whether you're blocking GPTBot, ClaudeBot, or PerplexityBot. If you are, decide whether that's intentional. If you want AI visibility, you need to allow these crawlers.

Add explicit allow directives:

User-agent: GPTBot
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: PerplexityBot
Allow: /

3. Reformat Your Top 5 Blog Posts for AI Extraction

Take your five highest-traffic posts and restructure them:

• Move the direct answer to the first paragraph
• Add a clear definition sentence in the intro
• Break processes into numbered steps
• Add an FAQ section at the bottom with 3-5 questions
• Make sure H2s match the questions your buyers actually ask

This doesn't require rewriting. It's restructuring. You're taking the same content and making it extractable.

4. Add FAQ Sections to Key Landing Pages

Your product pages and use case pages should have FAQ sections. Not buried at the bottom in an accordion. Visible, structured, with clear question-and-answer formatting.

Use the questions your sales team hears most often. These are the same questions buyers are asking AI tools.

5. Run a Citation Test Yourself

Go to ChatGPT, Perplexity, and Google AI Overviews. Search for your core category queries:

• "Best [your category] tools for [your ICP]"
• "What is [problem you solve]"
• "[Your category] vs [competitor category]"
• "How to [job your product does]"

If you don't appear in any results, you have a baseline. If you appear in some, note which content is being cited and reverse-engineer why.

What Separates the Top Scorers

The three companies that scored above 55 shared a few traits:

They had at least some structured data. Not perfect implementation, but something. Even basic BlogPosting schema put them ahead of 88% of the group.

Their content led with answers. Instead of "In today's fast-paced business environment..." they opened with "Revenue attribution is the process of identifying which marketing touchpoints drive closed-won deals." Direct. Extractable. Citable.

They had topical depth. Not just one blog post per topic, but clusters of related content with clear internal linking. This signals authority to both traditional and AI search.

None of them were doing anything exotic. They were doing the basics that 88% of their peers weren't.

The Uncomfortable Truth

If you're a B2B SaaS company relying on content marketing for growth, AI visibility isn't optional anymore. It's not a 2027 priority. It's a right-now priority.

The average score of 40/100 tells us that most companies haven't started. That's bad news for them. But it's good news for you, if you start now.

The bar is low. A few weeks of focused work on structured data, content formatting, and crawler accessibility can put you ahead of the majority of your competitive set.

The companies that figure this out in 2025 will own the AI search results in 2026. The companies that wait will wonder where their organic traffic went.

Frequently Asked Questions

What is an AI visibility score?

An AI visibility score measures how well your website and content are optimized to appear in AI-powered search tools like ChatGPT, Perplexity, and Google AI Overviews. It evaluates structured data, content formatting, crawler accessibility, citation presence, and technical readiness on a scale of 0-100.

What is AEO (Answer Engine Optimization)?

AEO is the practice of optimizing your content to be found, extracted, and cited by AI-powered answer engines. It differs from traditional SEO because it focuses on making content machine-parseable and directly answerable, not just rankable.

How is AEO different from traditional SEO?

Traditional SEO optimizes for ranking in a list of blue links. AEO optimizes for being the extracted answer. This requires structured data (JSON-LD), answer-first content formatting, FAQ sections, and explicit AI crawler permissions. You need both, but most companies are only doing SEO.

What is JSON-LD schema markup and why does it matter for AI?

JSON-LD is a structured data format that helps machines understand your content. It tells AI systems what type of content you have (article, FAQ, product, organization) and provides key details in a standardized format. Without it, AI has to guess what your content means.

How do I check if AI crawlers can access my site?

Check your robots.txt file (yourdomain.com/robots.txt) for directives related to GPTBot, ClaudeBot, and PerplexityBot. If these crawlers are blocked or not mentioned, AI tools may not be able to index your content.

What is a good AI visibility score for a B2B SaaS company?

Based on our audit of 24 companies, the average is 40/100 and the highest score was 62/100. A score above 55 puts you in the top tier. Most companies have significant room for improvement, which means early movers have a real advantage.

How long does it take to improve AI visibility?

The five fixes outlined in this article can each be completed in under a week. Most companies can meaningfully improve their score within 30 days by implementing structured data, reformatting key content, and updating crawler permissions.

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Want to see how your company scores? We run free visibility audits for B2B SaaS companies. Book 20 minutes at supermarketers.ai.