How Hubspot Uses AI to Improve Web Accessibility

Hubspot demonstrates how AI can make websites more inclusive, offering practical ways to enhance accessibility while still delivering strong user experience and business results.

By combining automation with thoughtful design, teams can use AI to catch issues earlier, reduce manual work, and support visitors with different needs and devices.

Why Web Accessibility Matters in Hubspot-Style Experiences

Web accessibility is more than a legal checkbox. It is central to building trust and providing a usable experience for all visitors, including those using assistive technologies.

Drawing from the approach described in the original HubSpot AI for web accessibility article, you can see three core reasons accessibility should be a priority:

• Inclusivity: Ensures people with visual, auditory, cognitive, or motor disabilities can use your site.
• Usability: Accessible sites are easier to navigate for everyone, including mobile and low-bandwidth users.
• Compliance: Reduces risk by aligning with standards like WCAG and regional regulations.

AI helps teams align with these goals by automating repetitive checks while still leaving room for human judgment.

Core AI Capabilities You Can Mirror from Hubspot

The source article outlines several AI applications that can be adapted to your own website. Each tool serves a specific role in identifying and resolving accessibility barriers.

1. AI for Automated Accessibility Audits

AI-powered scanners can quickly review pages for common issues, such as:

• Missing or duplicate alt text on images
• Low color contrast between text and background
• Improper heading hierarchy (skipping from H1 to H4, etc.)
• Forms without accessible labels

These tools produce reports that flag elements violating best practices, allowing developers and content editors to correct problems before they frustrate users.

2. AI Text Generation to Improve Descriptions

AI can generate or refine text that supports accessibility, including:

• Image alt text that describes visual content clearly
• Summaries and captions for multimedia content
• Simplified, plain language versions of complex paragraphs

When you use AI to write descriptions, make sure to review each suggestion to avoid vague or misleading text. Human review keeps the copy accurate and context-aware.

3. AI for Code and Structure Validation

AI systems can inspect HTML structure to identify patterns that hinder assistive technologies:

• Misused ARIA attributes
• Interactive elements without keyboard support
• Improper nesting of headings and landmarks

This mirrors the systematic approach highlighted in the HubSpot example, where AI is used to enhance the technical foundation of the site, not just surface content.

Step-by-Step: Building an AI-Driven Accessibility Workflow

To replicate a Hubspot-style approach in your own environment, you can organize your work into a repeatable workflow.

Step 1: Audit Your Current Site

1. Select an AI-powered accessibility checker and scan key templates and high-traffic pages.
2. Export or document the findings, noting recurring patterns like missing labels or low contrast.
3. Prioritize issues that block core tasks, such as navigation, form submissions, and reading content.

This initial pass gives you a baseline of your existing accessibility health.

Step 2: Use AI to Draft Accessible Content

1. Feed specific images or page sections to your AI tool.
2. Ask for concise, descriptive alt text, headings, and summaries that match the page intent.
3. Request simpler rephrasings for long or complex sentences that may confuse some readers.
4. Review each suggestion for clarity, accuracy, and tone before publishing.

AI helps you move faster, but editorial review ensures accessibility improvements do not sacrifice brand voice.

Step 3: Enhance Code and Component Libraries

1. Run AI-based code analyzers on your core templates or design system components.
2. Identify patterns like missing ARIA roles, incorrect tab order, or non-semantic elements used for structure.
3. Update shared components so every future page inherits the improved accessibility.

This mirrors the scalable mindset illustrated in the HubSpot article: fix issues once, then benefit across the entire site.

Step 4: Test with Assistive Technology

1. Combine AI tooling with manual testing using screen readers and keyboard navigation.
2. Validate that content order, focus states, and announcements match user expectations.
3. Collect feedback from real users when possible, especially those who rely on assistive tech daily.

AI is powerful, but it cannot fully replicate real human experience. Blending both gives the strongest results.

Best Practices Inspired by Hubspot for Sustainable Accessibility

To maintain long-term accessibility, you need processes, not just one-time fixes. Below are practical habits aligned with the principles shown in the source article.

Integrate Accessibility into Content Creation

• Add accessibility checks to your editorial guidelines.
• Use AI to suggest headings, summaries, and semantic structure before content goes live.
• Require alt text, transcripts, and captions as part of your publishing workflow.

Train Teams to Use AI Responsibly

• Teach marketers, designers, and developers how AI supports—rather than replaces—good accessibility practice.
• Provide examples where AI-generated alt text or labels may be inaccurate without human review.
• Create simple checklists that pair AI tools with manual verification steps.

Monitor Accessibility Over Time

• Schedule regular AI-driven audits of critical pages.
• Track common issues to see if process changes are working.
• Document improvements to demonstrate progress to stakeholders.

Extending a Hubspot-Like Strategy Across Your Tech Stack

Accessibility should sit at the intersection of marketing, design, development, and operations. AI can help unify these groups.

Consider the following cross-functional applications:

• Marketing teams: Use AI to ensure campaign landing pages and forms remain accessible under tight deadlines.
• Design teams: Leverage AI contrast and layout checks while prototyping new components.
• Engineering teams: Incorporate AI accessibility tests into continuous integration pipelines.

For additional strategic guidance on aligning AI, SEO, and accessibility, you can explore specialized consulting at Consultevo, which focuses on performance, optimization, and compliance.

Conclusion: Applying Hubspot-Inspired AI Tactics to Your Site

The methods outlined in the HubSpot web accessibility article show that AI works best as a partner to human expertise. Automation identifies issues at scale, while people provide judgment, empathy, and context.

By combining AI auditing, content generation, and code analysis with thoughtful testing, you can build a site that is more inclusive, easier to use, and better aligned with modern standards—without overwhelming your team.

Start with small, repeatable steps, track your improvements, and continually refine your process as AI tools and accessibility guidelines evolve.