The 2026 State of AI Visibility in B2B SaaS is an original research report covering how AI-driven search is reshaping the way B2B SaaS buyers discover, evaluate, and shortlist software — and what marketers can do about it.
The research and analysis in this report were conducted by Will Rico, founder and CEO of CommonMind, in partnership with AI Trust Signals, Visto, Jarts, and DemandShift.
The findings are drawn from original survey data collected between November 2025 and February 2026, with 169 respondents across B2B SaaS, agencies, professional services, and related industries.
This is not a forecast. It's a snapshot of where B2B SaaS marketers actually stand — and reveals 5 data-backed shifts you can act on now.
Before diving in, here's what this report covers and why it matters right now:
93% of B2B SaaS marketers say AI search visibility is critically important. Only 14% have a mature strategy to address it. That gap is the whole story.
59% of B2B SaaS brands report Google Organic traffic is flat or down. This adds to the urgency to appear in LLMs.
57% of B2B SaaS companies DON'T publish pricing. That makes them easy targets for AI hallucination and competitor interference. It's the highest non-disclosure rate of any industry we surveyed.
Nearly 6 in 10 respondents can't see AI-referred traffic in their analytics. You can't fix what you can't measure.
81% published how-to content in 2025. Only 42% are prioritizing it in 2026. The reason is simple: AI can summarize it better than most blog posts.
Reviews on G2 and Capterra are one of the fastest paths to AI visibility. One B2B SaaS company in our survey started appearing in AI answers within one week of getting listed.
The biggest budget misallocation we found: 70% of teams are actively investing in social media, but only 22% believe it drives AI visibility. That's a 48-point gap.
One 15-minute SME interview can become 5 publishable assets. You don't need more content. You need better signal.
If your strategy hasn't caught up to your urgency yet, this report is for you.
(Even Though Everybody Knows It Matters)
There's a tension at the center of B2B SaaS marketing right now that this report was built to name.
Ask any marketer on your team whether AI search visibility matters, and they'll tell you it does.
Ask those same marketers whether they have a real strategy for it, and the answer changes fast.
This is the most important finding in this entire report.
Everyone knows AI search matters. Almost no one is ready.
And here's the part that makes this more than just an interesting observation: the gap is widest in B2B SaaS specifically.
Your category, more than any other industry we surveyed, is built on:
You're the marketers who have the most to lose if AI answers start sending buyers to your competitors instead of you. And yet the data shows that B2B SaaS marketers are among the most likely to be running blind on this.
This report isn't here to add to your anxiety. It's here to replace it with something more useful:
A clear picture of what's actually happening, what your peers are doing about it, and 5 specific shifts that the data says are working.
Here's a foundational problem that sits underneath almost every other finding in this report.
The measurement blindspot becomes clear in the data: 22% of marketers have no analytics setup for AI traffic, and another 37% are unsure whether they can track it.
This means 57% cannot clearly identify AI-referred traffic in their current analytics platform and therefore have no clear view of what AI search is doing to their traffic right now.
This finding, surfaced through additional analysis by our partner AI Trust Signals, reframes everything else in this report.
This is The Measurement Blindspot, and it's the root cause of The Urgency-Readiness Gap.
Here's how one respondent described their biggest fear when it comes to AI:
This highlights a common concern seen in the survey data, and leads to the question:
"If attribution is dead, what's the best measure of ROI in an LLM-search world?"
It's the right question, and one this report will return to in the final section.
Before anything else in this report is actionable, you need visibility into your baseline.
This report is based on survey data collected between November 2025 and February 2026 by CommonMind, in partnership with DemandShift, AI Trust Signals, Visto & Jarts.
Company size skews toward small and mid-market, with most respondents representing organizations under 200 employees. There's also meaningful representation from companies with 200 to 5,000-plus employees.
Respondents include founders, CMOs, marketing managers, content leads, and agency leaders — most are the people making or influencing content and SEO strategy decisions right now.
Why B2B SaaS?The challenges of AI visibility are especially acute in SaaS:
This report centers its lens on the B2B SaaS group while drawing on the full dataset for statistical weight. |
Additional quantitative analysis was contributed by AI Trust Signals, co-founded by Marcus Sheridan, author of They Ask, You Answer and Endless Customers.
"88% of marketers know AI visibility matters. But only 14% have an actual strategy for it. Our entire world as marketers — the ability to generate leads — will rise and fall as to whether or not we understand the essentials of AEO in the coming months and years ahead.
This is the fastest moving target we've ever seen as marketers. What's working today with AEO may, or may not, be working tomorrow. This is why we've got to be in the AEO sandbox NOW. We need to experiment. We need to test. We need to pay attention. The patterns will appear. But the bridge between now and then is found in the sandbox."
— Marcus Sheridan, Co-Founder, AI Trust Signals and Author, Endless Customers
Yes. And this isn't a forecast. It's already happening.
That means 58% of the marketers in this survey saw no meaningful organic growth last year, even as 41% reported gains of 5% or more. The disruption isn't uniform. It's creating winners and losers fast.
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For B2B SaaS marketers, the question isn't whether to respond, but how quickly. If 58% of respondents are seeing flat or declining Google organic traffic, and 57% of those same people can't see what AI search is sending them instead, the math should light a fire. |
The following 5 shifts are drawn directly from our survey data, open-text responses, and analysis by our partners. They're listed in order of leverage, starting with the one that takes the least new content and delivers some of the fastest results.
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| These 5 shifts are ordered by leverage. Start with what requires the least new content but delivers the fastest results. |
The data is clear. In our open-text responses, 14 respondents specifically credited format and structure changes (not new content creation) as their primary AI visibility win.
These weren't vague improvements. They were specific:
The result that got our attention most: one respondent described taking a moving company's content from 50 AI referrals to 900 by doing 3 things:
No new content.
Same pages.
18x the AI referrals.
That's the highest-leverage action in this entire report, and it doesn't require a new budget line.
| Tactic | % of B2B SaaS Brands |
| Adding key takeaways or summaries at the top of content | 61% |
| Implementing schema markup | 54% |
| Including comparison tables | 32% |
| Adding author bylines with bios | 31% |
Based on survey data from 59 B2B SaaS respondents.
For B2B SaaS specifically, most existing content is technical and brand-forward. Those are exactly the characteristics that work against AI citability. Structured, question-led, unbiased content is what AI is looking for.
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"We've changed the way we write blog posts. We put key takeaways right in the beginning, use short bulleted lists, put questions in H2s, answer the question directly under it, and cite a lot of original research." — Content marketer at a B2B SaaS company |
Based on our research and the patterns from our top-performing respondents, here's the checklist we recommend auditing your existing content against before creating anything new.
A Google Doc version in an easy-to-use to-do list format is available for your team to use directly. Make a copy of the checklist here.
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Action step: Before planning any new content, audit your top 10 most-visited pages against this list. Pick 3 changes. Make them this week. |
Because AI does how-to better.
81% of B2B SaaS respondents published how-to content in 2025. That was the dominant content format. By the time our survey closed, only 42% were still prioritizing it for 2026.
That's a 50% drop in priority for how-to content in a single year. This isn't a coincidence.
When a buyer asks ChatGPT or Perplexity how to do something, AI can pull from hundreds of sources and summarize the answer clearly. A blog post that says "here are 7 steps to do X" is now competing with an AI that's read every post ever written on that topic. You can't out how-to a language model.
This is what we're calling The Great How-To Exodus: a fast, data-confirmed shift away from instructional content toward social proof and point-of-view content. It's not a small adjustment. It's a fundamental change in what content strategy means for B2B SaaS in 2026.
What types of content are B2B SaaS brands prioritizing for 2026? Here's a look at the breakdown:
CommonMind's prediction is that content types built on lived experience, original perspective, and customer proof are going to be the drivers of results for B2B SaaS brands and the broader market. They're the things AI can't generate on its own.
At 27%, original research is the most underutilized content type in this entire dataset. That's a missed opportunity worth acting on.
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Action step: Audit your content calendar for Q1. If it's more than 60% how-to content, flip the ratio. For every how-to piece planned, commit to one case study or one point-of-view piece before the quarter ends. |
For B2B SaaS, this shift has a specific implication: your product teams, your customer success leads, your implementation engineers all have opinions and experiences that no AI can replicate. That knowledge is the content. Your job is to capture it. (More on how to do that in Shift 5)
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"AI doesn't just index the web, it synthesizes it. These systems value signal, novelty, and depth — so fresh perspectives from real SMEs matter more than recycled content. If you want to show up in AI answers, you have to contribute something new to the conversation." — Tom Lee, CEO & Co-Founder, Visto |
Pay close attention to what Tom Lee learned about the importance of fresh perspectives & expertise-driven content directly from the Chief Information Security Officer of Anthropic (the AI leader behind the popular LLM, Claude).
We'll dive deeper into AI Visibility Signals in Shift 3.
Our data says yes, and this is one of the most underacted findings in the whole report.
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56% Plan to increase focusRespondents plan to increase their focus on reviews and case studies in 2026 |
12% Believe it but do nothingRespondents in our survey who believe reviews drive AI visibility and are still doing nothing about them |
Reviews on G2, Capterra, and Google ranked second among tactics respondents believe drive AI visibility, cited by 41% of respondents, just behind PR and earned media at 46%.
56% of respondents plan to increase their focus on reviews and case studies in 2026.
And yet 12% of respondents who believe reviews drive AI visibility are still doing nothing about them. They know it works. They're not doing it.
This is one of the clearest examples of The Doing-Believing Gap in the dataset, and it represents a real opportunity for the teams willing to act.
Here's why reviews work so well:
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AI leverages trusted, third-party customer language from review platformsWhen a buyer asks ChatGPT "what are the best project management tools for construction companies?" the AI isn't prioritizing your product page. It's looking at what customers have written on G2, and how other sites describe your product based on those reviews |
Other sites scrape review platforms, creating a multiplier effectSome B2B SaaS companies in our survey are seeing AI mentions appear within 1 week of being listed on G2 or Capterra. |
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"Getting our SaaS into G2, Capterra, and ProductHunt. This initially got us mentioned in very niche questions after a week, due to other sites scraping G2 and Capterra as well, giving us a multiplier." — Vincent Betz, Co-Founder & CEO at Jarts |
There's a second layer here worth naming: What happens when AI gets it wrong?
When asked about their biggest fear related to AI brand visibility, a senior marketer at a large B2B SaaS company named the risk clearly:
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"Reduced visibility of the source of truth. Users may trust AI summaries without clicking through to official brand content." — Senior marketer at a large B2B SaaS company |
Their response was to build competitor positioning pages, specifically to give AI accurate, brand-controlled information to reference rather than letting a third-party source fill in the gap with something incomplete or wrong.
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Worth flagging: We'll come back to this fear (AI getting it wrong about your brand) in a later section. It's one of the top concerns across our B2B SaaS respondents, and the data points to a specific set of actions that reduce that risk. |
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Action step: This week, check whether your product is listed on G2 and Capterra. If not, create your listings. Then build a simple outreach sequence to get 5 new reviews in the next 30 days. Track AI mentions before and after. |
The data says yes, and the B2B SaaS number here is one of the starkest in our entire survey.
58% of B2B SaaS respondents don't publish pricing on their website.
That's the highest non-disclosure rate of any industry segment we surveyed, compared to 49% across all industries.
And yet B2B SaaS is the category most likely to be the subject of AI pricing queries:
These searches are happening. AI is answering them.
If your answer isn't in the mix, someone else's answer is.
Look at what the data shows about the relationship between pricing transparency and AI strategy maturity: among brands with emerging or mature AI strategies, 70% publish pricing.
Among brands with no strategy at all, only 43% do.
Pricing transparency and strategic maturity appear together.
That's not a coincidence.
The downstream effects are real too:
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"I would like to show pricing and more direct competitor comparisons, but management will never allow it." — Marketing director at a B2B SaaS company |
That quote showed up in our open-text responses and it stopped us. Because it's almost certainly familiar to most people reading this.
Here's the thing:
You don't have to publish a pricing table to benefit from pricing content.
All of these work:
The goal is to give AI an accurate, brand-controlled source to reference when someone asks about your pricing. Otherwise, it'll find its own source.
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The story that should convince your leadership: I shared this example during a recent live webinar: A SaaS client resisted publishing pricing for months. |
Virginia Case, Strategic Advisor at STRATAC Marketing, named the broader fear behind this shift:
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"My fear is that the loudest voice will win, not the most qualified." — Virginia Case, Strategic Advisor at STRATAC Marketing |
Pricing transparency is one way to make sure the authoritative voice in AI answers is yours, not the most convincing user on a Reddit thread or your competitor's (biased) interpretation of you.
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Action step: Start with 1 pricing-adjacent content piece this quarter. Write a "What factors affect [your category] pricing?" post, or build a comparison page with a top competitor. You don't need an exact price on the page to start building AI visibility around your pricing story. |
This is the question underneath every other question in this report. When asked, "What are your biggest bottlenecks in producing AI-friendly content?" here's what B2B SaaS marketers told us:
| Bottleneck | % of B2B SaaS Marketers |
| Marketing & content team bandwidth | 54% |
| Competing priorities | 51% |
| Subject matter expert (SME) time | 46% |
| Budget constraints | 15% |
| Unsure how to adapt strategy | 14% |
| Analytics/measurement gaps | 12% |
| None | 7% |
| Leadership buy-in | 5% |
| Other | 3% |
Based on survey data from 59 B2B SaaS respondents.
More than 90% of the B2B SaaS marketers in our survey are resource-constrained in some meaningful way. You can't just "create more content." You already know that.
But here's the real problem:
The content AI search values most (original perspective, lived experience, and real human insight) can't be generated without a human in the loop.
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"AI doesn't just index the web, it synthesizes it. These systems value signal, novelty, and depth — so fresh perspectives from real SMEs matter more than recycled content. If you want to show up in AI answers, you have to contribute something new to the conversation." — Tom Lee, CEO & Co-Founder, Visto |
If you use AI to write content that was researched using other AI-written content, you're just recycling existing signal. You're not adding anything new.
LLMs are trained on the existing web. To show up in AI answers, your content needs to add to what the web already knows, not repeat it.
This is what we're calling The Bandwidth Crisis: the collision between the growing need for original human insight and the shrinking availability of the people who have it.
The fix is a workflow, not a hire. |
Here's the 6-step approach we use at CommonMind when working directly with B2B SaaS clients, and it's the most practical answer we've found to "we don't have time for thought leadership."
Here's how it works, step by step:
Option #1:
If you prefer an audio/visual version, here’s a clip of me sharing the process to a live webinar audience while being interviewed by Logan Lyles from DemandShift:
Option #2:
If you’d prefer to keep reading on, here’s the workflow from start to finish in even greater detail:
Before you talk to anyone, find out what's actually being asked in your category.
Use a tool like ChatGPT with an audience research prompt (like this one from DemandShift or this 2-step Buzz Research Prompt from CommonMind) to surface what people are discussing on Reddit, Quora, and review sites in your space. This gives you questions grounded in real buyer language, not internal jargon.
Build a focused list based on your research. You're not conducting a journalism interview. You're mining for insight. The Big Five question categories are a proven starting point:
These are the 5 content types that buyers always research and brands are usually scared to answer directly. As Will puts it: "We should be scared not to answer those questions at this point. Because if we're not answering them, somebody else is."
This is the human step that can't be skipped. Your SME can participate via Zoom, Riverside or they can answer questions in Slack or email if a call doesn't work. The format matters less than getting their actual words and perspective captured. Good SME candidates include:
Take the recording, transcribe it with AI, and combine it with your earlier research. You now have a document that contains fresh human insight layered over current market context.
Feed the combined document into ChatGPT or Claude and ask it to generate content ideas across formats. From 1 conversation, you can reasonably produce:
A copywriter (AI or human) can produce the initial drafts. But a human editor must review before anything's published. This is where you check for hallucinations, verify accuracy, and make sure the content actually represents what your SME said. Don't skip this step. The whole point of this workflow is that it preserves genuine human voice and accurate expert knowledge. An unreviewed AI draft undermines both.
Post the full piece to your website. Publish a shorter version as a LinkedIn Pulse article or on Medium. Use the 3 thought leader posts on LinkedIn as organic content (or as promoted thought leader ads, which are performing well for B2B SaaS right now). Your 1 interview has now produced a week or more of original content.
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"Primary source data like call transcripts, customer emails, and support tickets are being overlooked by most." -Content strategist at a B2B SaaS company |
This respondent is right.
The most valuable raw material for AI-visible content is already inside your company. The workflow above is just the system for turning it into something publishable.
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This is one of the most actionable findings in the entire report, because it shows not just what's happening but where the misallocation of resources is concentrated.
When we cross-referenced what respondents are actively doing with what they believe actually drives AI visibility, a striking mismatch appeared.
| Tactic | Actively Doing | Believe It Drives AI Visibility | The Gap |
| Social media platforms | 70% | 22% | 48 points |
| Podcast guest appearances | 36% | 7% | 29 points |
| Backlinks / link building | 51% | 24% | 27 points |
| Video platforms | 42% | 22% | 20 points |
| Reviews (G2, Google, Capterra) | 53% | 41% | 12 points |
| Reddit and online communities | 34% | 29% | 5 points |
| PR / Earned media | 46% | 46% | 0 points (perfectly aligned) |
The social media number is the most striking finding in this table, and it holds almost identically across both the B2B SaaS cohort and the broader dataset.
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70% of B2B SaaS marketing teams are actively investing in social media. Only 22% believe it moves the needle in AI search. That's a 47-point gap between doing and believing. |
Podcast appearances: the stealthiest misallocation36% of respondents are actively doing podcast appearances — but only 7% believe they drive AI visibility. That 29-point gap is actually larger than the broader dataset's 23-point gap. Podcast culture runs deep in B2B SaaS. |
Backlinks: institutional muscle memoryTraditional SEO told teams that links matter, and they're still building them by institutional muscle memory, even as confidence in their AI search impact has dropped. |
Reddit: B2B SaaS is ahead of the curve34% are already actively doing Reddit, compared to just 23% across all industries. The gap here is only 5 points. B2B SaaS marketers have organically figured out that their buyers live in subreddits. |
PR and earned media: B2B SaaS has it right46% are actively doing it, and 46% plan to continue — a zero-point gap. Earned media creates exactly the kind of third-party citations and authority signals that AI models draw on when constructing answers. |
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The practical question worth asking your team: When did you last audit your channel mix against what you actually believe drives results, rather than what you've always done? |
Based on cluster analysis of our survey data, we identified 4 distinct profiles among our respondents. These aren't rigid categories. They're a self-diagnostic framework. Most readers will recognize themselves in one of them, and that recognition is the starting point for knowing where to focus.
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Take action: Share this section with your team. Identify which profile fits your current reality as a group. Then use the tiered action plan at the end of this report to agree on your first 3 moves. |
In addition to our multiple-choice questions, we asked respondents to share their biggest fears and challenges in open-text form. What came back was honest, specific, and in several cases, more useful than the structured data.
We grouped the responses into 5 themes. These fears aren't irrational. They're well-calibrated responses to a genuinely uncertain landscape.
The Speed and Scale Fear"Things are moving too fast." |
The Resource Inequality Fear"The big brands will win and we can't compete." |
The Accuracy and Trust Fear"AI will say something wrong about us. |
The Attribution Fear"We won't be able to prove this is working." |
The Zero-Click Fear"We show up in AI answers but nobody visits our site." |
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The next section breaks down each of these 5 fears in detail, with direct quotes from B2B SaaS marketers who are experiencing them right now. |
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The Speed and Scale Fear: |
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The Resource Inequality Fear: "No chance against the big brands with more resources to spam the web and get into PR and media." / "That we cannot keep up with the big brands in generating enough quality content to get cited." / "That our competitors get better at it faster than us." |
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The Accuracy and Trust Fear: "That it regurgitates the wrong or outdated info from old blog reviews." / "I think it's very easy for competitors to just say 'we are better than X' and show up as truth in LLMs." / "Reduced visibility of the source of truth. Users may trust AI summaries without clicking through to official brand content." |
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The Attribution Fear: "The death of attributability." / "The early days around the lack of metrics and tracking." |
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The Zero-Click Fear: "Zero clicks." / "Erraticism in LLM recognition of our brand. Lack of citations and credit given." |
These fears aren't irrational. Here's what the data says about addressing each one:
Resource Inequality FearTargeted moves, like optimizing review listings and FAQs, can achieve measurable results. Instead of outpublishing, focus on out-answering specific buyer questions. |
Accuracy and Trust FearRather than wishing AI would be accurate, provide it with better source material. Utilize pricing pages, competitor comparisons, and accurate review listings as control mechanisms. |
Attribution FearFix your GA4 setup and use brand mention tracking tools to monitor AI answers. This reveals where your brand appears even without direct clicks, providing crucial visibility. |
Zero-Click FearSuccessful teams focus on consistent brand visibility in AI answers, not forcing clicks. Impressions in AI results are the new top-of-funnel, building familiarity for future engagement. |
This section is different from the rest of the report. It's not strategy. It's signal. These are things real B2B SaaS marketers in our survey said they tried, and what happened.
We're sharing these not as proven playbooks but as early evidence. In a field moving this fast, peer experiments are more valuable than polished white papers written by people who didn't run the test themselves.
Content Structure Changes: FAQ & H2 RestructuringRespondents saw impactful early wins with structure changes. One reported a 15% improvement in AI search traffic after Q&A restructuring on blog pages, directly influencing mentions and indexing. |
Review Platform Listings (G2, Capterra, Product Hunt)The fastest result in our survey: AI mentions within 1 week of getting listed on platforms like G2 and Capterra. "This initially got us mentioned in very niche questions... giving us a multiplier." — Vincent Betz, Co-Founder & CEO, Jarts. |
LLM Entity PagesTeams created dedicated website pages for AI, using plain language to explain their offering and target audience. Early results indicate this direct approach has been effective for some and less so for others. |
Competitor Positioning & Comparison Pages"[Brand] vs [Competitor]" pages provide buyers with useful comparison content and give AI accurate, brand-controlled information. This tactic effectively addresses the Accuracy and Trust Fear. |
Not everything in the experiment pile produced results.
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"Reddit didn't work for AI visibility, but Capterra and Product Hunt placement seemed to have worked well." |
The tactics that produce results create structured, question-answering, third-party-validated content in places where LLMs already look.
The tactics that produce nothing tend to be existing channel investments applied to a new goal without any adaptation.
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Key Insight: AI visibility requires intentional adaptation, not just repurposing existing tactics. The winners are creating structured, validated content in places LLMs already trust. |
This section is for the Anxious Aspirer who's ready to stop reading and start moving. The answer isn't to wait for the perfect strategy. It's to build the habit of experimentation while the playbook is still being written.
Low cost, high signal, fastest results
Medium lift, high leverage
Strategy layer, builds compounding results
Humans naturally trust those with demonstrated expertise, credible and verifiable insights, and clear, applicable experience that drives the content they share. AI is trying to find the same trust signals humans use.
Building trust with your audience through transparency, social proof, original insights, and accurate information is the same strategy that wins in AI as it does in human relationships.
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The tactics change. The principle doesn't. |
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"There is much 're-learning' to do. As we do this, the patterns will appear. And what is incredibly confusing today will become much more predictable tomorrow. But the bridge between now and then is found in the sandbox. And we all need to start playing in it a lot more." — Marcus Sheridan, Co-Founder, AI Trust Signals; Author, Endless Customers |
The 2026 State of AI Visibility in B2B SaaS is based on original survey data collected by Will Rico and CommonMind in partnership with AI Trust Signals, Visto, Jarts, and DemandShift between November 2025 and February 2026. 169 marketers, marketing leaders, and business owners responded across more than 11 industries. The survey combined multiple-choice, scale-rating, and open-text questions. B2B SaaS was the largest single industry cohort, representing 59 respondents — approximately 35% of the total sample.
CommonMind is a marketing agency that helps $10–100M ARR vertical SaaS companies build the kind of bottom-of-funnel authority that gets cited in AI answers and referenced in sales calls. While most agencies are still optimizing for clicks, CommonMind helps vertical SaaS companies become the trusted, referenced source in their category — because in niche markets, authority compounds in ways that traffic never did.
Get a free AI Visibility Snapshot from Will Rico and the CommonMind team at: commonmind.com
About Visto
Visto is an AI visibility platform built to help brands shape how AI talks about them. Visto helps companies and their agencies uncover their current AI presence, identify the content gaps causing them to go unmentioned, and take action to boost visibility across AI search engines. Visto contributed partner analysis and tool context to this report. Learn more at: getvisto.com
Jarts is an AI search optimization platform designed to help companies get mentioned in ChatGPT, Perplexity, Claude, and other AI search results. Jarts helps brands discover where they rank in AI-generated answers, identify what content gaps are causing them to miss mentions, and understand what to publish to show up more often. Jarts contributed partner analysis and AI visibility tooling context to this report. Learn more at: jarts.io
AI Trust Signals is a platform built to help brands become the recommended choice in AI-generated answers. Co-founded by Marcus Sheridan (author of They Ask, You Answer and Endless Customers) and Patrick Moorhead, AI Trust Signals provides the research, frameworks, and tools brands need to send the trust signals that AI looks for. Learn more at: aitrustsignals.com
DemandShift is a B2B marketing consultancy led by Logan Lyles, specializing in webinar-based lead generation and go-to-market strategy for B2B companies. DemandShift helps B2B marketing teams build high-converting webinar programs, optimize their lead generation funnels, and create content that drives pipeline. DemandShift co-produced this research survey and contributed to report development. Learn more at: demandshift.co
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The 2026 State of AI Visibility in B2B SaaS is published by CommonMind. Reproduction or citation of findings is permitted with attribution to CommonMind and the contributing partners named above. |