The FAQ Nobody Reads Is the Content Brief Nobody Writes
Every social media operator I know is sitting on a quiet goldmine they never mine: the questions people ask right before they bounce. Not the comments you reply to, not the DMs you triage — the unanswered, unasked, abandoned questions that die in a chat widget at 11pm. When Actually Asked crossed my radar on Product Hunt, I didn’t see a FAQ widget. I saw a content research engine wearing a support-desk costume. Because the hardest part of running accounts across Instagram, TikTok, YouTube, X, LinkedIn, Facebook, Threads, and Pinterest isn’t posting — it’s knowing what your audience actually wants answered, in their own words, before they’ve decided you’re worth following. That’s the thesis I want to test here.
What Actually Asked Actually Does
Let me get the facts straight first, because there’s a lot of AI-FAQ noise in this category and it all blurs together.
The maker is Petar, and the product is Actually Asked. His framing in the launch post is refreshingly specific: most FAQ sections are written once, from guesses, and then never change. Chat bubbles cover the page and feel like a support desk. And nobody sees the questions visitors couldn’t get answered — they just leave.
His answer is an FAQ block that lives inside your page in your own fonts and colors. Visitors can open an entry, ask their own question underneath it, or highlight any sentence on the page and ask about that. Answers come only from your pages, products, policies and files — meaning it’s grounded in your material, not hallucinated from the open web. If those sources don’t cover something, the visitor can leave their email so you can follow up.
The mechanics that matter for a content operator:
- Frequently asked questions get promoted into the public FAQ automatically. Per Petar’s reply in the thread, when a few different people ask the same thing within a month — however they word it — the system groups them, writes one clean question with an answer drawn from your learning materials, and adds it to the FAQ on its own.
- Anything you’ve manually edited, pinned, or removed stays exactly as you left it. That’s a real trust signal in an era where AI tools love to overwrite your voice.
- Every Monday you get an email listing what your pages couldn’t answer.
- Distribution is broad: Shopify App Store as a theme block, Framer Marketplace as a plugin, Claude as a connector, and it works on WordPress, Webflow, or any other site with two lines of HTML. You can also manage it from Claude, ChatGPT, Cursor, or Codex over MCP.
- Pricing: the free plan gives you 50 AI answers a month on one site, no card needed. Paid tiers are not disclosed in the launch thread.
That’s the surface. Now the interesting part.
Why this is a social media story, not a website story
Here’s where I diverge from the standard Product Hunt take. Every reviewer in that thread is treating this as a support tool. Said Javliev called the Monday email “the best idea here” because those are the questions people had before they left. Rohit Srivastava pushed further, asking whether the report could group unanswered questions by page section so a writer knows which paragraph to rewrite. Both are right — and both are thinking too small.
If you run content across nine platforms, you already know the pain of guessing. You sit in a Metricool dashboard or a Buffer queue and you stare at a blank caption box wondering: do they want the pricing breakdown, the behind-the-scenes, the “how do I actually use this” tutorial, or the comparison post? You guess. You post. You watch the first 30 minutes of engagement and quietly delete the flop.
Actually Asked, in my read, is a machine that tells you what to make next — except it’s collecting signal from people who are already on your site, mid-intent. That’s a different and arguably higher-quality signal than a TikTok comment section, where people perform for other commenters rather than actually ask for help.
How It Stacks Up Against the Incumbents
I’ve tested a lot of this category, so let me be concrete about the comparison set.
Against Intercom, Drift, and Crisp: These are chat-first. They assume a human (or a bot pretending to be one) is going to answer in real time. The UX is a bubble in the corner. Petar’s explicit critique — “chat bubbles cover the page and feel like a support desk” — is fair. The failure mode of chat-first support is that it’s reactive. You only learn what people asked if you read the transcripts. There’s no automatic promotion of patterns into your public content.
Against Zendesk and Help Scout: These are ticket systems. Great for teams with SLAs. Terrible for a solo creator running a Shopify store on the side. The Monday email is a lighter-weight version of the same idea.
Against Notion AI, Chatbase, and the swarm of “train a chatbot on your docs” tools: Most of these live as standalone chat interfaces or embeds. They don’t sit in the page as a native FAQ, and they don’t promote recurring questions into a public, editable, SEO-friendly FAQ block. That’s the actual differentiator.
Against just writing a FAQ yourself: The honest comparison. If you’re a creator with a simple Linktree and a newsletter, you don’t need this. If you run a product, a course, or a service with any depth, you probably do — because the questions your audience asks are not the questions you’d guess.
My take: the closest thing in the creator stack is AnswerThePublic or the “people also ask” boxes in Google. But those are external signals — what the broad internet asks. Actually Asked is internal signal — what your specific visitors, on your specific pages, at your specific moment of intent, could not find.
Where the math breaks
Let me be a skeptic for a second, because that’s the job.
The free plan is 50 AI answers a month on one site. For a small creator, that’s plenty. For a mid-sized store or a course creator with real traffic, 50 answers is a rounding error. The paid tiers aren’t disclosed in the launch thread, which means I can’t tell you whether this scales economically. That’s a real gap.
Second, the auto-promotion logic — “a few different people ask the same thing within a month” — is a black box. How many is “a few”? Three? Five? Does it count unique visitors or total asks? Does it deduplicate by IP or by session? Petar doesn’t say, and I’d want to know before I trusted it to publish to my public FAQ without review. In my experience, auto-publishing anything customer-facing without a review queue is how you end up with a FAQ entry that says “Yes, we ship to North Korea” because three people asked and the answer generator got confused.
Third, the highlight-to-ask feature has known edge cases, and to Petar’s credit he admitted them openly. In response to Brian Kulp, he explained that a selection only counts when it’s 3 to 300 characters, it’s ignored inside form fields, editable text and the FAQ itself, and highlighting never opens the popup on its own — it shows a small “Ask about this” button. But: “What it doesn’t do yet is skip buttons and navigation, or let you mark parts of the page as off-limits.” That’s a real UX risk on dense pages. If someone highlights a nav item and gets an “Ask about this” prompt, it feels broken.
Fourth — and this is the big one for social media operators — there is no native integration with the platforms where you actually publish. You get a Monday email. You don’t get a Slack ping, a Notion card, a Linear ticket, or a Buffer draft. You have to manually translate the insight into a post. That’s fine for now, but it’s the obvious next feature, and whoever builds the “Monday email → auto-drafted content brief” bridge wins this category.
What Creators and Social Teams Should Steal From This
Even if you never install Actually Asked, there are three operational patterns here worth copying this week.
1. Treat unanswered questions as your content calendar
The single best idea in this launch is the Monday email. It’s a forcing function: once a week, you sit down and look at what your audience asked that you couldn’t answer. Most creators never do this. They post from inspiration, not from evidence.
You can replicate this without the product. Open a Google Form or a Tally form, link it in your bio across platforms, and ask one question: “What’s the one thing you wish I’d explain?” Then read the responses every Monday. Same ritual, zero dollars. The product just automates the collection.
2. Promote recurring questions into evergreen content
The auto-promotion feature — grouping similar questions and writing one clean entry — is exactly what a good content repurposing workflow does manually. You notice that five people asked “does this work on mobile?” and you write a Reel, a Short, a TikTok, a LinkedIn post, and a Pinterest pin about it.
In my own repurposing workflow, I keep a running doc called “Questions I’ve answered three times.” When something hits that threshold, it graduates from a DM reply to a piece of content. Actually Asked just does this in the background for your website. The principle is identical.
3. Ground your AI in your own material
The detail that answers “come only from your pages, products, policies and files” is the trust anchor. If you’re using AI to draft captions, replies, or content, you should be doing the same thing: feeding it your brand voice doc, your past top-performing posts, your product facts — not letting it freestyle from the open internet.
This is the same reason CapCut templates and Canva brand kits work: constraints produce consistency. An AI that only knows what you’ve taught it will sound like you. An AI that knows everything will sound like everyone.
Why TikTok creators should care more than LinkedIn ones
Here’s a nuance I don’t see anyone making.
On LinkedIn, your audience is mostly passive. They scroll, they nod, they maybe like. The intent signal is weak. A FAQ tool on a LinkedIn-adjacent landing page is nice-to-have.
On TikTok, the intent signal is violent. Someone watches a 45-second tutorial, taps your bio link, lands on your page, and either finds what they need in the next 10 seconds or leaves. That’s a razor-thin window. If your page can answer their follow-up question instantly — “does this work on Android?”, “is there a free version?”, “how long does shipping take?” — you convert a viewer into a customer. If it can’t, you’ve burned the attention you spent real money and hours to earn.
My take: for short-form creators with any product or service attached, an in-page FAQ that learns from real questions is worth more than another scheduling tool. The scheduling tool saves you 20 minutes. The FAQ tool saves you the conversion.
Where I’d push back on the launch narrative
A few things in the thread deserve a cooler read than they got.
The auto-promotion feature is presented as a pure win. Oleksii Sekundant praised the fact that manually edited answers stay intact, and Petar confirmed that edited, pinned, or removed entries stay as you left them. That’s genuinely good design. But it also means the system has two modes — auto-published and human-curated — and the boundary between them is invisible to a visitor. If an auto-published answer is slightly wrong, you might not notice until a customer complains. I’d want a “review before publish” toggle, even if it’s off by default.
The highlight-to-ask feature is clever, but on a content-heavy page — a blog post, a tutorial, a long-form sales letter — it could become noise. Petar acknowledged this. Until there’s a way to mark sections as off-limits, I’d be cautious about deploying it on dense pages without testing.
And the “works on any site with two lines of HTML” claim is true but undersells the integration work. Getting it to look native on Squarespace, Wix, or a custom Next.js site is not the same as dropping it into Shopify. Plan for a few hours of styling.
What I’d Watch / Test Next
If you’re a creator or social media operator reading this, here’s what I’d actually do this week — no purchase required.
First, install the free plan on one site and let it run for two weeks. Fifty answers a month is enough to see whether the signal is real. Don’t touch the settings. Just watch what people ask.
Second, screenshot every question that surprises you. Those are your next ten pieces of content. The surprise is the signal — if you could have predicted the question, you probably already covered it.
Third, test the Monday email against your current content calendar. Does it tell you something you didn’t know? If yes, you’ve found a research channel. If no, you’ve confirmed your audience is already well-served, which is also useful.
Fourth, if you run a product or course, compare the questions coming through Actually Asked against the questions in your DMs and comments. My bet: the website questions are more transactional and more urgent, and the social questions are more exploratory. Both matter, but they need different content.
And finally, watch the pricing page. The free tier is generous enough to evaluate, but the paid tiers are not disclosed, and that’s the number that determines whether this becomes a real line item in your stack or a fun experiment. If it lands anywhere near what you’d pay for a mid-tier Later or Hootsuite plan, the ROI case gets harder — because this doesn’t replace your scheduler, it sits on top of it.
The bigger picture: the creator economy’s next competitive edge isn’t better posting tools. It’s better listening tools. Everyone has a scheduler. Almost nobody has a system for capturing what their audience actually wanted to know before they walked away. That’s the gap Actually Asked is poking at, and even if the product doesn’t win, the idea should be in your workflow by Friday.
