Cracking GPT Search in 30 Days: How an AI Video Tool Won with Quality Content and Distribution

GPT search content strategy for ai video tool

We recently partnered with a client who wanted to reposition from an AI video generator to an AI agentic video generator. It may sound like a subtle shift, but in a space this competitive, it was a defining one.

The AI video market is dominated by players like Google’s Veo, OpenAI’s Sora, and HeyGen. Competing here means every word, every message, and every piece of content needs to work harder to capture attention and attract the right buyers.

That’s where Contensify came in as their content and SEO partner. Our goal was to help them stand out and crack GPT Search in 30 days through quality content paired with smart distribution.

The Challenge

Repositioning meant more than a new headline. It required starting almost from scratch, reworking messaging, updating content, and reshaping how the brand showed up in search.

That’s never easy when the market itself is already stacked against you.

  • The AI video generator space is extremely crowded, with enterprise-level competitors dominating visibility.
  • Many of these players publish at high volume, supported by large budgets that fuel distribution.

Operational constraints:

  • The client’s website was largely static, with limited flexibility to update existing pages or optimize metas.
  • Limited access to the website for publishing content

The biggest concern? Their message might never break through all the AI noise filling search results.

Our Strategy

Here’s what we did to get results:

1. Laying the Foundation: Topical Authority

Before the repositioning, the client worked with us for about a year under a different positioning focused purely on video generation, not “agentic” AI video generation. The goal during this phase was to establish authority in the space and build a strong content base.

  • Created evergreen, structured content for long-term relevance.
  • Prioritized middle-of-the-funnel, evaluation-stage keywords where buyers actively compare solutions.
  • Ensured content depth, credibility, and SEO structure (organized H1, H2, H3, semantic signals).
  • Designed content to be skimmable and human-first with short sentences, summaries, and tables.

This one-year foundation ensured the client wasn’t starting from scratch when they later pivoted their positioning.

2. Positioning Shift: Agentic AI Video Generator

After building topical authority, the client decided to reposition around a new category: Agentic AI Video Generator.

This was a turning point because the language was fresh, and competition here was minimal, giving us the chance to own the category early.

  • Updated all core content (blogs, landing pages, product pages) to reflect the new positioning.
  • Incorporated dashboard screenshots, product walkthroughs, and contextual use cases to make the content more tangible.
  • Clarified differentiation: how “agentic” video generation is different from simple automation by adding intelligence and decision-making.
  • Aligned existing content with the new category by updating older posts with new intros, comparisons, and product mentions.
  • Developed category-defining pieces (e.g., “What is Agentic AI Video Generation?”) to set the narrative and capture early search visibility.

This repositioning allowed the client to stand out not as just another AI video tool, but as a brand shaping a new category.

3. Smart Distribution

Publishing great content wasn’t enough; we needed to make sure it found the right audience.

Our approach was deliberate to maximize visibility across channels where AI and video professionals spend their time, but in a way that felt natural and not overly promotional.

  • Industry communities: Shared insights in AI and video tech forums, Slack groups, and Discord channels where conversations were already happening.
  • Newsletters & niche media: Partnered with industry newsletters and blogs to feature key articles, giving the brand credibility while expanding reach.
  • LinkedIn & professional networks: Repurposed long-form articles into short, engaging posts, carousels, and discussion starters that subtly tied back to the brand.
  • Content repurposing: Broke down in-depth blogs into snackable threads, visuals, and TL;DR summaries designed to travel further without losing the core message.

We also placed content on platforms like Reddit, Quora, and Medium to ensure these mentions were picked up when AI systems crawl the web, so our client’s name consistently surfaced in relevant conversations.

4. Selective Backlinking

Where many SaaS brands chase volume in backlinks, we chose precision.

  • Secured backlinks only from authoritative video and AI-focused sites with high DA/DR.
  • Avoided mass outreach and targeted websites that accepted thoughtful guest posts or expert contributions.
  • Built credibility through fewer, higher-quality links rather than chasing numbers.

5. SEO Best Practices for AI-First Search

Every piece of content was optimized not just for traditional SEO, but for AI parsing and GPT Search readiness.

  • Clear structure with logical H1, H2, and H3.
  • Added semantic signals and fan-out queries to increase chances of ranking in featured snippets and AI overviews.
  • Included lists, TL;DRs, tables, and summaries to make content machine-readable.
  • Kept tone conversational and human-first to boost engagement and time on page.
  • Built micro-conversion opportunities into content (CTAs, demos, and internal links).

The Results

The shift in positioning, paired with structured content and smart distribution, paid off quickly. Within just 30 days of the repositioning, the brand started unlocking the GPT search visibility milestone that normally takes months or years.

  • GPT Search unlocked fast: Content began surfacing in ChatGPT Browse and AI Overviews, putting the client ahead of larger competitors.
  • Quality traffic growth: Mid-funnel traffic increased, bringing in visitors actively comparing solutions.
  • Higher buyer engagement: Session durations grew longer, and users showed stronger conversion intent, signaling real interest in the product.
  • Sustainable credibility: All this was achieved without chasing massive content volumes, proving that depth, structure, and smart distribution outperform pure scale.

In short, the brand didn’t just reposition successfully; it carved out early ownership of a new category and built authority where it mattered most.

Key Takeaways

At the end of this project, a few lessons stood out clearly.

On content:

  • More articles don’t automatically mean better results.
  • Depth, structure, and long-term relevance outweigh sheer publishing volume.

On positioning and distribution:

  • Clear positioning creates differentiation, even in crowded markets.
  • Smart distribution ensures the right people actually see and engage with your content.

On GPT search visibility:

  • AI rewards clarity, authority, and structured information.
  • Content built for both humans and machines has the best chance of surfacing in tools like ChatGPT, Bing Copilot, and AI Overviews.

PS. It is important to note that a strategy that works for one company, may not work the same way for another. As a marketing agency with a focus on organic engines, we’re continually experimenting with our approach. 

Let’s connect and make it happen for you.

The Results

Want to learn more about this B2B SaaS content marketing case study strategy?

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