# Is AI or agent framing worth testing in my landing-page hero?

Source: Lazyweb Research
Published: 2026-07-07
Sample size: n=488
Tags: landing-page, experiments, ux-patterns, web, saas
HTML: https://www.lazyweb.com/research/is-ai-framing-worth-testing-in-your-hero
Markdown: https://www.lazyweb.com/research/is-ai-framing-worth-testing-in-your-hero.md

**Answer.** AI or agent framing appears in 292 of 488 detected hero experiments (60%) — the single most common hero change theme, edging out even headline rewrites (277, 57%).[1] But this reflects a 2025-2026 capture window skewed toward AI-era repositioning, not a proven-winner baseline.[1] Treat it as the dominant pattern peers are testing, not evidence it lifts conversion.

> 60% of detected hero experiments involve AI or agent framing — Lazyweb Research, July 2026.

## Finding: AI framing is the most common hero move

Across 488 hero experiments, AI/agent framing shows up in 292 (60%), narrowly the top theme.[1]

| Hero change theme | Count | Share of 488 |
|---|---|---|
| AI / agent framing | 292 | 60% |
| Headline rewrite | 277 | 57% |
| Price / offer-led | 97 | 20% |

These counts are non-exclusive keyword matches, so an AI reposition often is a headline rewrite too.

## Breakdown: what AI framing looks like in practice

Two detected examples show the range (observed change plus inferred rationale, not a measured result):[2]

- **GitHub (web):** headline 'Scale your startup on GitHub' changed to 'Founders build the future on GitHub'; subcopy shifted from startup-discount pricing to 'full agentic platform, product credits, community support.' Inferred rationale: repositioning from a discount pitch to a founder-identity, AI-agentic pitch.
- **InVision (web):** 'Book a demo' / 'Sign up free' replaced with 'Join the waitlist' as the sole action around an AI launch. Inferred rationale: trading conversions for scarcity — a move only a category leader can afford.

## Caveats before you copy the pattern

The 60% figure is a recency artifact of when these experiments were captured, not a timeless conversion truth.[1] Every one of these is a detected before/after diff with model-inferred rationale — none carry measured lift. If your product genuinely uses AI, framing it in the hero matches what 60% of tested peers are doing; if it does not, the data gives you no reason to bolt AI language on.

## The numbers

| Stat | Computed from |
| --- | --- |
| AI/agent framing in 292 of 488 hero experiments (60%); headline rewrite 277 (57%); price-led 97 (20%) | hero_change_themes |
| GitHub and InVision hero repositioning examples | qualitative[github, invision] |

## Methodology

Universe: 488 detected hero experiments, July 2026. Method: non-exclusive keyword incidence over summary+learning text plus named-company qualitative rows. Caveat: AI-framing share is a capture-window artifact; all rows are observed changes with inferred rationale, not measured results.

## Sources & citations

- [1] Lazyweb Research analysis of 488 hero experiments (detected-experiment corpus), July 2026. Keyword incidence over summary+learning text; AI-framing share reflects a 2025-2026 capture window.
- [2] Lazyweb Research analysis of 405 named-company hero experiments (detected-experiment corpus), July 2026. Observed before/after UI changes with model-inferred rationale; not measured A/B lift.

## Related questions

- [What are companies A/B testing on their landing-page heroes right now?](https://www.lazyweb.com/research/what-are-companies-ab-testing-on-landing-hero)
- [Should I test the hero headline or the hero media first?](https://www.lazyweb.com/research/should-hero-headline-or-media-be-tested-first)
- [Do well-known brands lead the hero with the offer instead of the brand?](https://www.lazyweb.com/research/how-incumbents-restructure-hero-around-offer)