Why We Stopped Blogging on Our Own Website (And What We Did Instead)
People are writing blog posts for business websites that almost nobody read. Not because the writing is bad. Not because the topics were wrong. The content is solid, well-researched, sometimes even us...
People are writing blog posts for business websites that almost nobody read.
Not because the writing is bad. Not because the topics were wrong. The content is solid, well-researched, sometimes even useful. But it sits on domains with no authority, buried somewhere on page four of Google, collecting dust next to a cookie consent banner and a stock photo of people shaking hands.
Recently I pulled up Google Trends data for “Medium” and “Reddit” over the past 10+ years. Both platforms hit their all-time peak search interest in April 2026. Not a small bump. An absolute spike, the highest point on the entire chart since 2004.
That was the moment I stopped treating our website blog as the centre of our content strategy. Here is exactly what we changed, why it works, and what I think most small businesses are getting wrong right now.
The Problem Nobody Talks About
If you run a small or medium-sized business, chances are someone told you at some point that you need a blog on your website. “It’s good for SEO,” they said. “Google rewards fresh content.”
That advice made sense in 2016.
It does not make sense in 2026.
Here is what actually happens when you publish an article on a website with low domain authority: Google crawls it eventually, maybe indexes it, and ranks it somewhere behind Reddit threads, Medium articles, established news outlets, and now AI-generated summaries that pull from all of the above. Your carefully written 1,200-word piece about “5 Tips for Hiring in Brighton” sits on page three. Nobody scrolls to page three.
Meanwhile, the same topic posted as a discussion on Reddit with 40 upvotes and 15 comments? That shows up in the AI Overview at the top of the results page. Google’s algorithm reads those upvotes as community validation. It reads those comments as engagement signals. It treats that thread as more trustworthy than your blog post, because real people interacted with it.
This is not speculation. About 68% of Google searches now end without the user clicking on anything at all. The AI Overview answers their question directly, and the sources it cites are overwhelmingly platforms like Reddit, Medium, Wikipedia, and established publications.
So the question becomes: why are we still publishing where nobody can find us?
The Playbook: Medium First, Website Second
The switch is simpler than most people think, and it costs nothing.
Step one: Create a Medium publication for your business. Not a personal account, a publication. This gives you a branded space, the ability to add multiple writers later, and access to Medium’s built-in audience of readers who are already browsing by topic.
Step two: Publish your primary content on Medium first. Every article, every guide, every case study. Medium’s domain authority is massive. When you publish there, Google indexes your content faster and ranks it higher than it would on your own site. I have seen articles indexed within hours on Medium that took weeks to appear from a standalone domain.
Step three: Embed your Medium RSS feed back onto your website’s blog page. Most website builders support this natively, and there are plugins for WordPress that handle it in minutes. Your website visitors still see a blog section full of fresh content. They click through to Medium to read the full post. You lose nothing on your main site, but you gain everything in search visibility.
This is not about abandoning your website. Your site still matters for conversions, for your portfolio, for your contact page. But your blog content, the stuff that is supposed to attract new visitors through search, needs to live where search engines are actually looking.
Real-World Case Study: Brighton Part Timer on Reddit
I want to talk about something specific we have been doing, because theory is easy and execution is where most advice falls apart.
We run Brighton Part Timer, a local resource for part-time and flexible work in Brighton. For a few weeks, we tried the traditional route: publish job roundups and hiring insights on the website, share the link on social media, hope for traffic.
Traffic was flat. Engagement was... The content was fine, but it existed in a vacuum.
So we changed the approach completely. Instead of writing generic job advice articles, we started publishing monthly local hiring reports directly on Brighton’s Reddit community. Raw numbers. Real data. Actual trends pulled from local listings.
Things like: how many new part-time roles appeared this month compared to last. Which sectors are hiring and which are shrinking. What the average hourly rate looks like across hospitality, retail, and remote work. Whether weekend-only roles are increasing or declining.
No fluff. No “top 10 tips.” Just the numbers, formatted clearly, posted where locals actually spend their time.
The response was immediate, and it surprised me.
People started commenting with their own experiences. “Yeah, I noticed hospitality wages going up around the Lanes.” “The retail drop makes sense, three shops on Western Road closed last month.” The threads turned into genuine local conversations, with people validating, questioning, and adding context to the data we posted.
Those Reddit threads now rank on the first page of Google for multiple Brighton-specific job searches. Some of them get cited in AI Overviews when someone searches for things like “part time work Brighton 2026” or “Brighton hiring trends.”
We did not pay for that visibility. We did not build backlinks. We posted useful, specific data in a community that cared about it, and the search algorithms did the rest.
Why AI Engines React to Data the Way the Human Brain Reacts to Sugar
This is the part that took me a while to wrap my head around, and I think it is the most important thing to understand about where search is heading.
Large language models and AI search engines are drowning in generic content. There are millions of blog posts that say roughly the same thing in roughly the same way. “How to find a part-time job.” “Tips for improving your CV.” “What employers look for in 2026.” The AI has seen all of it, thousands of times over, reworded slightly each time.
But original data? Specific local numbers? Monthly reports with real figures? That is rare. And AI engines treat it like the human brain treats sugar: an immediate, high-priority signal that this content is worth extracting, citing, and surfacing to users.
Here is why:
Original data cannot be faked easily. When you post that Brighton hospitality wages grew 4.2% month-over-month across 85 tracked listings, that is a specific, verifiable claim. The AI recognises it as high-value grounding material, something it can cite with confidence rather than paraphrasing from yet another generic advice post.
Numbers are easy for AI to extract. LLMs are built on retrieval systems that parse and structure information. A thread full of percentages, comparisons, and trend data is computationally easy to turn into a clean AI Overview answer. A 2,000-word opinion piece with no data points? The model has to work much harder to figure out what, if anything, is actually useful to cite.
Community engagement validates the data. When a Reddit post with original numbers gets upvoted and discussed, the algorithm reads those signals as proof that the information is trusted by the community. Upvotes function like peer review for the AI. A post with 80 upvotes and 25 comments full of local residents confirming the trends carries more weight than a corporate blog post with zero engagement.
Freshness compounds over time. When you publish monthly reports, you create a pattern. The AI learns that your source produces regular, updated information. Over time, it starts treating your content as a reliable recurring source rather than a one-off. This is why consistency matters more than volume. Twelve monthly reports posted over a year carry more algorithmic weight than 50 generic articles posted whenever someone had time to write one.
Think of it this way: every AI-generated search answer needs to be grounded in something real. The model needs to point at a source and say, “this is where I got this information.” If your content is specific, data-rich, community-validated, and regularly updated, you become that source. If your content reads like everything else on the internet, the AI has no reason to pick you over the ten thousand other pages saying the same thing.
What This Means for Paid Ads Too
I should mention this because I know people are going to ask.
If you are running Google Ads for your business, the economics are shifting under your feet. Costs per click keep climbing while click-through rates are declining, because the AI Overview now sits above both organic results and paid ads for a growing number of queries. Users get their answer from the AI summary and never scroll down to your ad.
This does not mean paid ads are dead. They still work well for high-intent commercial queries where someone is ready to buy. But for informational and consideration-stage searches, the ones where you are trying to build awareness and trust, organic visibility through community platforms is becoming a better investment than throwing money at broad-match keywords.
The businesses that will do well over the next few years are the ones that figure out how to be the source the AI cites, not the ones paying to appear below an AI answer that already gave the user what they needed.
How to Start This Week
If any of this resonates, here is what I would actually do, in order, starting this week:
Pick one data point you already have. Every business tracks something. Sales trends, customer questions, local market changes, seasonal patterns. You do not need to build a fancy dashboard. You need one interesting number and the context around it.
Write it up plainly and post it where your audience is. If your audience is local, find the relevant subreddit or community group. If your audience is professional, post on Medium or LinkedIn. Do not overthink the formatting. A clear headline, the key numbers, and your honest interpretation of what they mean.
Do it again next month. Consistency is what separates a one-off post from a trusted source. The first report might get modest engagement. The third or fourth one is when people start expecting it, referencing it, and sharing it.
Connect it back to your website. Embed your Medium feed, link to your Reddit posts from your site, build a “Reports” section that aggregates everything. Your website becomes a hub, not the primary distribution channel.
The rules of search have changed. The winners are not the people publishing the most content on their own domains. They are the people feeding search engines real human data, in real communities, on a regular schedule.
Pedram
