Gauge - Your marketing agent for organic, paid, and AI search
by•
Gauge is your marketing agent for organic, paid, and AI search.
With user behavior now spread across traditional and AI search, it’s never been more important to ensure that your brand is the answer. There's a wealth of data hidden across GA4, GSC, keywords, prompts, and more. This data is incredibly rich, but fragmented and complicated to understand.
Gauge unifies all of these data sources into a single agent that can do the work of an entire marketing team for you.
Replies
Gauge
Hi folks! I'm Caelean, the co-founder/CEO of Gauge.
Gauge does the job of an entire marketing team for you - keyword research,traffic analysis, data-driven content creation, and more.
Without Gauge, each of these processes required hours of manual work, fragmented across a multitude of systems. With Gauge, you can connect all of those systems and enable our agent to handle it for you.
Gauge is already a core part of the marketing stack at some of the best companies - Supabase, Posthog, Amp, Mux, and more. One of our customers, LedgerUp, saw over a 17x increase in their AI presence and a 4x increase in their overall organic traffic.
You can try Gauge now for free here!
Product Hunt
We use and absolutely love Gauge at Product Hunt. Gauge has helped us significantly boost the visibility of Product Hunt product pages, alternatives, and categories in LLMs. Now makers get way more LLM visibility. Check out this study for a quick look at how we’ve used Gauge.
When we evaluated competing tools, they were 10x more expensive. And they did not have the level of craft and iteration speed of the Gauge team.
Gauge
@mikekerzhner absolutely love working with you and the Product Hunt team! It's been incredible to actually measure just how large the impact of producthunt.com is in this new world of LLM discovery 🚀
@mikekerzhner Been amazing working with the product hunt team!
The post that @andrew_g_stewart wrote overviewing how you were able to optimize producthunt for AI visibility was pretty sweet.
On what does it base its recommendations?
Gauge
@viktorgems a number of inputs:
running prompts and structuring the answers to understand where your brand does and does not show up in LLMs
Google Analytics traffic data
Google Search Console data
Semrush keyword data
Google Ads data
Gauge has access to all of these, and can weave them together to find gaps to address!
Went through the product and the pricing page the core idea is solid and the use case is clearly real. One thing I noticed: the 3-5x visibility uplift stat you mention is buried in the FAQ but it is probably the strongest reason someone would upgrade. That framing feels like it belongs much closer to where the pricing decision happens. Just honest feedback from someone going through it fresh
Gauge
@atthajohn great call out - we should highlight that more!
Would love for you to give it a try and let me know your thoughts - it's completely free to give it a go.
@caeleanb Appreciate that.
Went a bit deeper into the product and noticed a couple of other things worth flagging. Happy to share if useful
Gauge
@atthajohn please do! Feel free to post here or shoot me an email @ caelean@withgauge.com 🙏
Product Hunt
Gauge
@curiouskitty great question - the 2 main differentiators for us are:
Integrating more than just prompt and answer data - GA4, GSC, Semrush, Ads, and more
Our agent (highlighted here) that can actually do the work for you. This has been a huge point of market fit for us.
AutonomyAI
Love the unified marketing agent. Best of luck
Gauge
@lev_kerzhner thanks! Would love for you to give it a try and let me know your thoughts :)
How does Gauge ensure its unified data analysis translates into actionable marketing decisions rather than just surfacing insights that still require significant human interpretation?
Gauge
@mordrag great question - our agent will provide detailed explanations alongside recommendations, based on data from a number of sources:
running prompts and structuring the answers to understand where your brand does and does not show up in LLMs
Google Analytics traffic data
Google Search Console data
Semrush keyword data
Google Ads data
Would love for you to give it a try and really push it - curious for your thoughts!
Glass
Sounds interesting, will check it out, good luck with the launch!
Gauge
@joseph_hammad thanks! Would love any feedback you have after giving it a go!
How do you guys track the citations & how accurate are they?
Gauge
@mountroot we run millions of prompts and answers every day through the real model UIs, and structure the citations that the models reference into our dataset. We subsequently scrape the individual cited URLs to gain a better understanding of what content impacts the answer.
We actually did a great study correlating the citation data back to the answer - take a look here! https://www.growth-memo.com/p/the-science-of-how-ai-pays-attention
The GEO angle is what makes this timely — most SEO tools still optimize purely for Google rankings, but AI search (ChatGPT, Perplexity, Claude) is eating a real share of the top-of-funnel. Running SEO consulting for clients and the question "how do we get cited in AI answers" comes up every week now with zero good tooling to answer it. Curious: how does Gauge specifically track and improve AI search citations vs traditional keyword rankings? Is the benchmark based on prompt testing, or scraping AI answer appearances?
Gauge
@ilya_lee fantastic question -
We run a large library of prompts (typically several hundred) every day through every model
We structure which products come back, as well as which sources are most often cited
This informs our agent (and the user) on what to target - which sources, what types of content, etc.
For example, here are the top ten sources for questions related to cars: