On this page
Most advice on SaaS homepage best practices is opinion, so I wanted numbers. In October 2026 we took 42 B2B software companies that had just announced a round from pre-seed to Series B, gave each homepage to an AI that knew nothing about them, and checked what it understood, what a buyer sees in the first few seconds and what proof each page shows.
AI understood almost all of them, while most first screens still don't tell a person who the product is for. Below are the numbers, the homepages that get it right, a ten-point checklist and the prompt we used, so you can run the same test on your own site.
- An AI reading the whole page understood what 39 of 42 freshly funded SaaS companies sell and to whom (93%).
- Only 10 of 42 first screens (24%) say both what the product is and who it's for, and only 12 name the buyer at all.
- Only 4 of 42 first screens promise a concrete outcome.
- 31 of 42 homepages (74%) mention funding or investors, but only 21 (50%) show a customer result with a number.
- The first fix our data points to: name the job and the buyer in the first screen, and keep at least one customer result in plain text near the top.
What should a SaaS homepage include in 2026?
A SaaS homepage should answer four buyer questions in order: is this for me, can I trust it, why now, and what do I do next. In DIXI's 2026 study of 42 freshly funded B2B SaaS homepages, most pages had logos and testimonials, but few named the buyer or promised a concrete outcome on the first screen, and only half showed a customer result with a number.
| Element | Why it matters | Homepages that had it (of 42) |
|---|---|---|
| First screen says what the product is | The buyer knows the category in seconds | 32 (76%) |
| First screen names who it's for | The buyer knows it's for them | 12 (29%) |
| First screen promises a concrete outcome | Gives a reason to keep reading | 4 (10%) |
| Customer logos or names | Shows real companies use it | 35 (83%) |
| Testimonial from a named person | Puts a real person behind the claim | 30 (71%) |
| Customer result with a number | Shows what changes after buying | 21 (50%) |
| Main button that says what happens next | Makes the next step obvious | 33 (79%) |
| Pricing link or section | Answers “can we afford it” early | 20 (48%) |
Teams have learned to collect logos and quotes, but the first screen is still often written for people who already know the company.
How did we test 42 SaaS homepages?
For DIXI's 2026 study we picked 42 B2B software companies that publicly announced a pre-seed to Series B round between 1 September and 27 October 2026. An AI model that sees each homepage as plain text, the way most AI crawlers do, was asked what the company sells and to whom. We graded every answer against how the round's coverage described the company, and read all pages on 29 October 2026.
| Group | Companies | Pre-seed or seed | Series A | Series B |
|---|---|---|---|---|
| AI, dev tools and security | 12 | 3 | 5 | 4 |
| Fintech, legal and insurance | 10 | 3 | 6 | 1 |
| Vertical SaaS for physical industries | 10 | 5 | 3 | 2 |
| Sales, marketing, HR and support | 10 | 3 | 7 | 0 |
| Total | 42 | 14 | 21 | 7 |
An answer counted as clear only when it named both the product and the buyer correctly. One of the two, or something so generic it could fit a hundred startups, counted as partial, and a wrong or “unclear” answer was a miss. The first screen means the headline and the line under it. Proof was checked on the whole page, and vanity counts like “10,000 users” did not count as customer results. Claude helped us collect the sample and run the reads, and the full rules are in the methodology section, so anyone can repeat the test.
Can AI read a website and understand what you sell?
Yes. When AI reads a website it sees the text your server sends, and in DIXI's study an AI model reading only homepage text correctly named both the product and the buyer for 39 of 42 freshly funded B2B SaaS companies (93%), with three partial answers and no complete misses. My guess is it works because modern homepages repeat the explanation below the fold, in feature blocks, use cases, testimonials and FAQs.
The result held in every group: 10 of 10 in fintech, legal and insurance, 10 of 10 in vertical SaaS, 9 of 10 in sales and HR software and 10 of 12 in AI, dev tools and security. The three partial reads had one thing in common. The AI got the product right but could only call the buyer “companies”, “organizations” or “business teams”, because the page never named a role, a team or an industry.
This matters because AI now builds a lot of shortlists. In G2's survey of 1,076 software buyers (March 2026), 51% said they start research in an AI chat more often than in Google, up from 29% in April 2025, and 69% chose a different vendor than planned because of what a chatbot told them. The same survey found that 64% often get inaccurate recommendations from AI. If you want the full playbook for getting picked by AI assistants, I wrote it up in how to get your B2B website recommended by ChatGPT.
What should the first screen of a SaaS homepage say?
The first screen, meaning the headline and the line under it, should say what the product does and who it is for in plain words, and ideally the result the buyer gets. In DIXI's 2026 study of 42 SaaS homepages, 32 first screens said what the product is, but only 12 named the buyer, 10 did both and just 4 promised a concrete outcome.
This is the gap that surprised me most. 29 of the 39 companies the AI understood did not say both what they are and who they're for on their first screen. The AI got there from the rest of the page, but a buyer who gives the first screen a few seconds may not scroll far enough to find out. It's also the first reason on our list of why B2B SaaS websites don't convert.
A few patterns came up again and again. Quite a few headlines were slogans that could sit on almost any startup's site. Two followed the pattern “the AI platform for [industry]”, which tells you the industry but not what the product does for you. Using AI words didn't change much either way: 16 of 42 headlines said AI, agent or intelligence, and 4 of those 16 named the buyer, against 8 of the other 26.
What does a good SaaS hero section look like?
A good SaaS hero section names the job, the buyer or the result in words a buyer would use, and backs it with one specific detail. The clearest first screens in DIXI's 2026 study of 42 SaaS homepages were not clever lines. They said things like “capacity management platform for utilities” or promised to complete up to 80% of a CAM program in minutes.
| Company | Headline | What it is | Who it's for | Result promised |
|---|---|---|---|---|
| Gridsight | “The unified capacity management platform for utilities.” | Capacity management platform | Utilities | Not in the first screen |
| UpSmith | “The AI profit engine for home services.” | AI that confirms appointments and closes estimates | Home services companies on ServiceTitan | Not in the first screen |
| CapitalOS | “Money orchestration for B2B platforms” | Cards, bill pay and cash management inside a platform | B2B platforms | Launch in days |
| CloudNC | “Complete up to 80% of your CAM program in minutes using AI” | CAM programming assistant | Machining teams, implied by “CAM” | Up to 80% of a CAM program in minutes |
Each of these teams decided who the page is for and put that, or the result, on the first screen.
How long should a homepage headline be?
There is no ideal length for a homepage headline, but very short headlines rarely leave room for the buyer. The median headline in DIXI's 2026 study of 42 SaaS homepages was six words, ranging from 3 to 17. Of the 18 headlines with five words or fewer, only 3 named who the product is for, compared with 7 of the 18 headlines with six to eight words.
These are small numbers, so read them as a hint rather than a rule. In practice, if your headline is a short line you love, use the subheadline to name the buyer and the job. A buyer reads both lines together, and so does an AI.
What social proof do SaaS homepages show?
The social proof most SaaS homepages show is customer logos and named testimonials, while proof with a number is still rare. In DIXI's study 35 of 42 homepages showed customer logos or names and 30 had a testimonial from a named person, while only 21 showed at least one customer result with a number. Only 18 had all three.
Meanwhile 31 of 42 homepages mentioned their round or their investors, including 18 of the 21 Series A companies, and 16 homepages talked about funding without showing any customer number at all. I get it, a round is real news. Investor logos show the company will be around, which matters, but I think buyers care more about whether it worked for a company like theirs.
- Put one customer result with a number in the first two screens, written as text.
- Label customer logos as customers, and keep investors in a separate, labelled row.
- Give every testimonial a name, a role and a company.
- Keep usage counts like “10,000 users” if you have them, but don't let them replace a result.
Which SaaS companies show the strongest proof?
In DIXI's 2026 study, companies selling to physical industries showed the strongest proof and AI and security companies the weakest. Nine of 10 vertical SaaS homepages for sectors like construction, logistics, energy and healthcare operations showed a customer result with a number, against 2 of 12 in AI, dev tools and security, where 10 of 12 mentioned their funding.
| Group | AI understood | First screen says what and for whom | Concrete outcome on first screen | Customer result with a number | Mentions funding | Pricing visible |
|---|---|---|---|---|---|---|
| AI, dev tools and security (12) | 10 | 1 | 0 | 2 | 10 | 7 |
| Fintech, legal and insurance (10) | 10 | 3 | 3 | 5 | 6 | 2 |
| Vertical SaaS for physical industries (10) | 10 | 3 | 1 | 9 | 7 | 5 |
| Sales, marketing, HR and support (10) | 9 | 3 | 0 | 5 | 8 | 6 |
The groups are small, so treat this as a direction, not a ranking. My guess is that buyers in physical industries ask for numbers early in the sales process, so those teams learn to put them on the page.
Can ChatGPT crawl JavaScript?
No, as of Vercel's crawler research from December 2024, which found that the crawlers behind ChatGPT, Claude and Perplexity fetch pages but don't run JavaScript, while Google's Gemini does. Text that only appears after scripts run, like animated counters or content loaded by a widget, can be invisible to those assistants even when people see it fine.
We saw this in the study. On two homepages the stat counters were animated, and without JavaScript the AI read them as “0%”. On two pages the AI could only get customer names from the logo image file names, and on a few pages investor logos sat in the same row as customers with no label.
- Make sure your headline, proof and pricing come in the HTML the server sends.
- Write key numbers as text, even if you also animate them.
- Give every logo alt text with the customer's name.
- Run the five-minute test below and check that your numbers come back.
What should the main button on a SaaS homepage say?
The main button should say what happens after the click, like “Book a demo” or “Start free trial”. In DIXI's 2026 study of 42 SaaS homepages, 27 led with a demo or sales button and 6 with a self-serve start, while 9 used a button that didn't say what you'd get, such as “Learn more” or a playful line.
Pricing was visible on 20 of 42 homepages (48%), which is more than I expected for B2B at this stage. Five of the 6 self-serve products showed it, and 11 of the 27 demo-led ones did. Even a link to a page that explains how pricing works helps a buyer decide whether to book the call.
What is the best structure for a SaaS homepage?
The SaaS website structure that works best follows the buyer's questions: a first screen with the job, the buyer and one result, then proof with a number, then how it works, then who it's for, then pricing or the next step. Every block on the homepage should answer one of the four questions a buyer has on the first visit.
- First screen: a headline with the job and the buyer, a subheadline with the result, one button that says what happens next.
- Proof strip: logos labelled as customers and one result with a number.
- The problem, in the words your buyers use on calls.
- How it works, in three steps with real product screens.
- Use cases or roles, so each buyer finds themselves.
- Two or three customer stories with numbers.
- Pricing or how pricing works, plus answers to the obvious objections.
- A final call to action that repeats the first one.
Not every homepage needs all eight. In one of our client projects we cut a B2B SaaS homepage from 11 sections to 6, and demo requests rose 38% in 60 days.
How can you test your homepage with ChatGPT in five minutes?
Paste your homepage URL into ChatGPT or Claude with web access on, together with a prompt that asks it to act as a first-time buyer and use only the page text. Then repeat the test with only your headline and subheadline. If the full page gets a clear answer and the first screen doesn't, you have the same gap as most homepages in DIXI's study.
You are a busy B2B buyer seeing this company for the first time. Use only the text of this page and ignore anything you already know about the company. 1) In one sentence: what does this company sell, and to whom? If the page doesn't make it clear, start with "UNCLEAR:" and say what's missing. 2) Quote the headline and the line under it exactly. 3) List the customer proof on the page: logos, named testimonials and any numbers that describe results for customers. 4) Quote the main button and say what you expect to happen after you click it.
Then compare the AI's sentence with the one you'd use on a sales call, and if they don't match, I'd rework the first screen before anything else.
SaaS homepage checklist for 2026
Use this ten-point checklist to review your SaaS homepage. Each item is something many of the 42 freshly funded startups in our study missed or did inconsistently, and anyone on the team can check it in under a minute, without design tools or access to analytics.
| Check | Passes if | In our study |
|---|---|---|
| 1. The first screen names the job | A buyer could say what you sell after one read | 32 of 42 |
| 2. The first screen names the buyer | A role, team or industry is named | 12 of 42 |
| 3. The first screen promises an outcome | A specific result, time saved or cost cut | 4 of 42 |
| 4. One customer result with a number sits near the top | It's written as text | 21 of 42 had one anywhere |
| 5. Logos are labelled as customers | Investors sit in a separate, labelled row | A few pages mixed them |
| 6. Testimonials are named | Name, role and company | 30 of 42 |
| 7. The main button says what happens next | “Book a demo”, “Start free trial” | 33 of 42 |
| 8. Pricing is visible or explained | At least a link | 20 of 42 |
| 9. Key text works without JavaScript | The prompt test returns your numbers | 2 pages showed “0%” |
| 10. The AI test passes | Clear on the full page, and the first screen alone says what and for whom | AI read: 39 of 42; first screen: 10 of 42 |
What changed when we fixed these for clients?
In our client projects, fixing the first screen and the proof moved the numbers without more traffic. For Klik, a B2B SaaS company with $24.4M ARR, qualified leads went up 3.2x after we redesigned the website so it explained their value more clearly, without changing the product, pricing or ad spend.
All three come from our B2B SaaS website design work. If you want to see where your numbers stand first, compare them with our B2B SaaS conversion rate benchmarks for 2026.
FAQ
What are the most important SaaS homepage best practices in 2026?
Name the job and the buyer on the first screen, put one customer result with a number near the top as text, label your logos and use a button that says what happens next. In DIXI's study of 42 freshly funded startups, only 10 first screens named both the job and the buyer.
What should a SaaS homepage include?
A first screen with the job, the buyer and an outcome; proof with a number; how it works; who it's for; pricing or how pricing works; answers to common objections; and a clear next step.
Can ChatGPT read my website?
It can read the text your server sends. In our study an AI reading homepage text understood 39 of 42 companies. Text that only appears after JavaScript runs may be missed, because the crawlers behind ChatGPT, Claude and Perplexity don't run scripts.
Is ChatGPT a web crawler?
OpenAI runs several crawlers, including GPTBot, OAI-SearchBot and ChatGPT-User, which fetches a page when a user asks. According to Vercel's 2024 research, none of them run JavaScript.
How long should a SaaS homepage headline be?
Length matters less than content. The median in our study was six words, and very short headlines rarely named the buyer: only 3 of the 18 headlines with five words or fewer did.
Should a B2B SaaS homepage mention its funding?
It can, but not instead of customer proof. 31 of 42 homepages in our study mentioned funding or investors, and 16 of them showed no customer result with a number.
How often should I check my homepage with AI?
After every change to the headline, the subheadline or the proof section, and at least once a quarter.
Can I use your data?
Yes. The anonymized dataset is free to use under CC BY 4.0 with a link to this page. Download the CSV.
Methodology and limitations
- Sample: 42 B2B software companies (SaaS, AI software and APIs sold to businesses) that publicly announced a pre-seed to Series B round between 1 September and 27 October 2026, with a live English homepage. Hardware, biotech, consumer apps and services firms were excluded, and so were companies without a usable English homepage.
- Reader: an AI model working through a web-fetch tool that sees each homepage as plain text, with an instruction to ignore prior knowledge of the company. All pages were read on 29 October 2026.
- Grading: the AI's one-sentence answer was compared with the coverage of each round. The first screen was graded from the headline and subheadline only, and proof, pricing and buttons from the whole page. Vanity counts were not counted as customer results.
- Limitations: 42 companies, one model and one reading date, so this is a snapshot rather than a law. Grading was done with AI assistance under fixed rules. For one company the round type comes from a single source and for one it is inferred, one company raised a Series B extension, and websites change every week. The fetch tool cut a few long subheadlines, so the counts for naming the buyer are lower bounds.
- Data: download the anonymized CSV (42 rows, CC BY 4.0). Company names are not published, except for the four examples above.
Sources
- SaaS homepage study 2026, anonymized dataset · DIXI, Oct 2026
- The Answer Economy: How AI Search Is Rewiring B2B Software Buying · G2, Apr 2026
- The rise of the AI crawler · Vercel and MERJ, Dec 2024






