A Rollercoaster Week for SearchScore AI, Product Hunt & AI Search
What Product Hunt taught us about audience, validation, and the future of AI search
Hey everyone,
This week was a complete rollercoaster.
SearchScore AI went live on Product Hunt, and for 24 hours our entire team was running at full speed, posting, replying, sharing, engaging across communities, speaking to users, tracking signups, and trying to make the most of the launch window.
And honestly, the response was very interesting.
On the backend, SearchScore received a tremendous response. We saw strong interest, quality trials, and a lot of people trying to understand their brand’s AI search visibility.
But one big learning also became clear:
Product Hunt was probably not the right channel for us from an audience perspective.
A lot of people who supported us were likely creating their Product Hunt accounts for the first time. And because Product Hunt’s ranking system gives lower weightage to new accounts, the public upvote count did not fully reflect the actual interest we were seeing on the product backend.
That was an important learning.
Sometimes, the channel may look right because everyone in tech talks about it. But your actual audience, your real demand, and your real product validation may show up somewhere else.
For us, the biggest validation was not just the Product Hunt number.
It was the number of people who tried SearchScore AI, downloaded their reports, shared feedback, and booked demos after seeing where their brand stands in AI search.
Demos, conversations, and learning
After the Product Hunt launch, most of my time has gone into DareAISearch demos.
And next week also looks like it will be all about demos.
Enterprise brands are actively trying to understand:
How visible are they on ChatGPT, Gemini, Perplexity, and AI Overviews?
Are they being cited when people ask purchase-intent questions?
Are their competitors getting recommended more often?
What kind of content, citations, website structure, and authority signals help brands perform better in AI search?
These demos have been a great learning experience because the market is moving fast. A few months ago, brands were asking, “Is AI search even important?”
Now the question has changed to, “How do we know where we stand, and how do we improve?”
That is a big shift.
Google’s AI Optimization Guide
Another major update this week was Google releasing its AI optimization guide.
For me, this is another clear signal that AI search optimization is no longer a future trend. It is now becoming part of how brands need to think about search visibility.
The guide reinforces a lot of what we have been saying at DareAISearch:
AI search visibility is not about replacing SEO.
It is about upgrading SEO for a world where discovery happens through answers, citations, summaries, and recommendations.
We wrote a detailed blog on this from the DareAISearch perspective.
Read it here: Google AI Optimization Guide
Google Analytics and AI traffic
Google Analytics has also started moving in the direction of giving better visibility into AI-driven traffic.
This is a useful update for marketers because one of the biggest problems with AI search has been measurement.
At DareAISearch, we were already helping brands identify AI-driven sessions using source parameters and analytics data. But seeing Google also move in this direction is a strong validation of the category.
AI search traffic is no longer something brands can ignore or treat as a random referral source.
It needs to be measured, tracked, and improved like every other serious acquisition channel.
We also wrote a detailed blog on this update.
Read it here: Google Analytics AI Traffic Blog
This week taught me something important.
The future of search is not just about ranking on Google.
It is about being discovered, cited, trusted, and recommended across AI-led journeys.
SearchScore AI going live on Product Hunt was just one step in that journey.
The real work starts now, more demos, more learning, more conversations, and more brands understanding where they stand in the AI search era.
Keep Growing