Alfa
You build the product. We bring the traffic.
127 followers
You build the product. We bring the traffic.
127 followers
Alfa helps SaaS teams turn keyword research into GEO-ready articles. It analyzes SERPs, search intent, and competitor gaps, then creates fact-checked, CMS-ready content built for Google, AI Overviews, ChatGPT, and Perplexity. Perfect for founders and lean growth teams who want compounding organic traffic without hiring a full content team.
RiteKit Company Logo API
@haya_jawed Automating the research-to-publish pipeline is a real unlock for SaaS teams that are stuck in brief-writing purgatory. One piece that often gets missed in that workflow is knowing which conversations, forum threads, and video discussions are already signaling what your audience needs answered — MentionFox's lead and topic discovery engine surfaces those signals from Reddit posts, YouTube audio mentions, and text discussions, so your topic research starts with actual demand rather than guesswork. That kind of input could feed Alfa's agent pipeline with angles that are already proven to resonate. Check out https://mentionfox.com — in 30 seconds you can see live mentions around any SaaS topic your content should be targeting.
@haya_jawed @saulfleischman mentionfox looks really cool, will definitely be checking it out. Is it possible to use mentionfix via an API?
RiteKit Company Logo API
@haya_jawed @new_user_2790a57d4d That manual research loop—topic, outline, refine, repeat—is exactly where small teams get stuck burning hours on what to say instead of actually saying it. MentionFox solves that by scanning 55+ platforms for the exact conversations your audience is already having about the problems you solve, so you skip the guesswork and surface both the topics and the people who need what you're building. https://mentionfox.com
I think you will find you need the Den in MentionFox for outreach, promotion, engagement, and use the Dashboard for our CRM. But APIs, OH yes. In fact, MF began as AI Agentic first, and expose tons of our APIs in FoxAPIs.com
The manual research loop you're describing is exactly where small teams burn time—rewriting the same topic briefs and outlines. FoxAPIs has a geo/share-of-voice endpoint that pulls real-time data on which topics your competitors' content is actually ranking for, so you can skip the guesswork and feed Alfa topics with proven traction. No more creating outlines for ideas that won't move the needle. https://foxapis.com
Congrats on launching. The GEO / AI-citation angle is the most distinctive part of your pitch. How do you actually measure whether your content gets cited by ChatGPT, Perplexity, or AI Overviews? Is there a feedback loop where Alfa learns which structural patterns get picked up by which engines, or are you optimizing for heuristics you believe matter? That's so much harder than traditional SEO ranking measurement and curious how you're tackling it.
@joshua_santiago2 Great question.
We have some patterns, that we have seen over time. We constantly probe the chat-platforms, to monitor the ranks of our products. We had a prior product for this (https://getranksmith.com) that is not integrated into alfa.
So its a constant probing, for benchmark, and then generating content and measuring direction.
Our goal is to become an Ahref for AI engines. We have a ton of data on this.
Strong wedge for lean SaaS teams — the slow part usually isn’t just drafting, it’s knowing whether the article is grounded in the right proof.
One thing I’d be curious to see in the workflow: do you separate the SERP/keyword brief from the company-specific source packet? For SaaS content, a post can be perfectly optimized and still feel generic if it misses the product’s actual use cases, customer language, current positioning, or proof points.
The most useful CMS-ready output might show a small “source map”: which claims came from SERP research, which came from the company/product docs, and which parts still need a founder or marketer to approve. That would make it easier to scale content without slowly drifting into interchangeable AI SEO copy.
@jim_jeffers great points.
Yes, product grouded-ness is actually the key difference here. We have a really detailed onboarding, that fetches content from the content available, as a starting point. Then for every article, we have a spot where users can update/edit a starting context, and once the draft is created. Users can also iterate on the content.
Plus, once a few are created our setup identifies the tone and context of the product. So it improves over time.
@new_user_2790a57d4d That onboarding/context loop is the interesting part. If you have one safe anonymized example, I’d be curious to see a tiny before/after: starting context + one generated paragraph + the edit a user made because it was technically right but not quite their product voice. Even one sentence is enough.
@jim_jeffers for sure Jim. If you send me a ping email, happy to forward you a few case-studies. We plan to publish them soon, but happy to give you more insight or detailed view as well.
faizan@writealfa.com
Sent you a connection request on linkedin as well.
@jim_jeffers althought your website says donottrustthisguy, so I am not so sure anymore 🙂
Excited to try Alfa, it's a real time saver for SaaS startups like ourselves, manually researching topics, then creating outlines, refining them and doing it over and over again seems tedious and at times frustrating for small teams. Looking forward to integrating it into our workflow.
NUMI
Been following their journey for a very long time and I’m really excited to see where this goes!
@harrison_telyan really appreciate it. 🙏
Gojiberry AI
Congrats on launching this product !
@roman_cz thanks, coming from the marketing GOAT himself 🙏
SUN
LFG!
@artinbogdanov thanks so much, really appreciate it. 🙏