Case Studies / Rankability
SaaS · AI Search · Competitive SEO

How Rankability Won HubSpot AEO Keywords in Less Than 24 Hours

When HubSpot launched its new AEO tool, the window to move was small. We deployed a fast-action SEO and AI search response — and the results came in within 6 hours.

#1

Organic Ranking

#1

AI Cited Source

<6h

Time to Results

#1

AI Overview Pick

In markets like SEO software, speed matters. The first strong asset published around a new product, feature, or category can start collecting relevance, engagement, citations, and retrieval signals before the rest of the market reacts.

That was the opportunity when HubSpot launched its new AEO tool. So instead of waiting, we deployed a fast-action SEO and AI search response for Rankability — a SaaS company operating in the competitive SEO industry.

The Goal

Establish early search and AI visibility for the most commercially important comparison keywords tied to HubSpot's launch — before the SERPs became saturated.

We identified two critical keyword opportunities immediately:

  • HubSpot AEO alternatives
  • Rankability vs HubSpot AEO

These weren't random blog topics. They were high-intent, moat-building assets designed to intercept demand at the exact moment the market started searching.

The Strategy

This wasn't a long campaign. It was a rapid response SEO and AI search play designed to capitalize on a short-lived speed advantage.

1

Identify the target keywords immediately

As soon as HubSpot launched the product, we mapped the highest-value search opportunities around the release. We focused on keywords with strong commercial intent and high brand leverage — specifically terms where searchers were likely evaluating options, comparisons, and alternatives.

2

Build dedicated assets for those keywords

We created two focused pages — one alternatives page designed to capture broader comparison demand and position Rankability as the leading option, and one versus page built to win head-to-head evaluation searches.

Each asset had a specific role in controlling more of the conversation around HubSpot's launch.

3

Optimize for both SEO and AI retrieval

We used Rankability itself to optimize the content for traditional search performance and AI retrieval friendliness — structuring pages to be easy for Google to understand and easy for AI systems to extract from.

Most importantly, we built content elements that were highly reusable by AI systems, including structured comparison formatting and a table designed to feed AI-generated answers.

4

Publish as fast as possible

Speed here wasn't about vanity. It was about being first to collect the signals that matter. When competition is still low, the first well-optimized asset often has an outsized chance to establish relevance early — and if the content is strong enough, it holds those positions by accumulating the initial clicks, engagement, citations, and retrieval patterns.

The Results

Within roughly six hours of publishing, Rankability achieved the following for the target query set:

  • #1 organic ranking in traditional Google search
  • #1 cited source in Google AI-generated results
  • #1 recommended alternative in Google AI Overviews
  • Multiple citations in Google AI Mode
  • #1 recommended option in the AI-generated comparison table

For the query "HubSpot AEO Alternatives," Rankability secured the top traditional organic result while also appearing as the leading recommendation inside Google's AI-generated answer experience.

In AI Mode, Rankability was cited multiple times in the retrieval sources, named as the top choice for agencies, and featured as the leading option in the comparison table. We intentionally built the content structure to become what I call AI bait — content designed not just to rank, but to get pulled directly into AI answers.

Why This Worked

We moved before the SERP got crowded

Most companies are too slow. By the time they approve content, brief it, write it, edit it, publish it, and promote it, the early advantage is gone. Here, we moved while competition was still low and intent was already forming.

We targeted commercial keywords, not fluff

We didn't publish generic commentary about HubSpot's release. We went straight after the keywords that matter when buyers are comparing tools and looking for alternatives — giving the content immediate business value, not just visibility.

We built for both SEO and AI retrieval

Traditional rankings matter, but that's no longer enough. The real win is when your content ranks in Google, gets cited in AI-generated results, and shapes the answer itself. We didn't just create optimized content — we created extractable, reusable, AI-friendly content architecture.

The Bigger Lesson

You do not need 30 days, 90 days, or 6 months to start getting SEO results.

When a new product launches, a new category emerges, or a new conversation starts gaining momentum, there is often a short window where speed and structure can outperform size. If you know how to identify those windows and execute quickly, you can win both traditional search rankings and AI visibility far faster than most people think.

The formula:

  1. 1. Identify the right keyword opportunity
  2. 2. Create a dedicated asset around it
  3. 3. Optimize it properly
  4. 4. Publish fast
  5. 5. Structure it so AI systems can reuse it

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