Never hire an SEO Agency for your Saas Startup

This is exactly the kind of thing I love AI for. Not only does it help with all the SEO heavy lifting, but you also get the AI tools themselves to recommend your product. Having done SEO myself, it is a royal pain in the ass haha, so kudos for showing your process, it's super helpful!

The real question this raises is whether founder-led SEO can survive past $1M ARR. Every SaaS company I look at that did pSEO early hits the same wall around 500-1000 pages where quality tanks and Google starts treating the whole domain as thin content. The founders who win long-term are the ones who build one channel to profitability first, then hire a single in-house SEO person instead of an agency. Agencies sell hours. An in-house person owns outcomes.

Spot on about AI search visibility being the missing piece — most founders fixate on Google rankings but ignore that ChatGPT/Perplexity are now the discovery layer for a huge chunk of buyers. One thing I'd add: your social presence feeds AI recommendations too. Reddit threads and social content get scraped heavily by these models. Consistent output compounds into GEO presence over time. What's your current ratio of pSEO to social content for distribution?

love that really helpful bro

This resonates hard. I'm a solo founder building a cybersecurity platform (20+ products from vulnerability scanning to dark web monitoring to compliance automation). Our traffic is 93% direct and 7% organic right now. The SEO agency pitch decks I've seen are absurd — minimum 50K per month, 6-month lock-in, and the deliverables are basically blog posts stuffed with keywords that no real buyer would read.

What's working for us instead: technical content on specific problems our customers search for. Things like 'how much does VAPT cost in India' or 'DPDP Act compliance checklist' — real questions with purchase intent. One well-researched answer on a Q&A platform generates more qualified traffic than 3 months of agency SEO work.

The founder-as-content-creator model you're describing is the only thing that scales for B2B SaaS below 1M ARR. Agencies optimize for vanity metrics. Founders optimize for 'does this bring someone who will actually pay.'

"Great points! As someone building AI infrastructure, distribution without paid ads is exactly the challenge I'm navigating right now."

I think this depends a lot on the type of product.
For something operational SEO feels more like capturing demand that already exists vs trying to create it. Curious if anyone here has seen SEO work well for more “real-world” use cases vs pure SaaS tools?

This resonates a lot. I'm running a niche content site in the Chinese astrology space targeting Western audiences — the kind of vertical no SEO agency would even know how to approach. The moment I stopped thinking about "ranking" and started thinking "what would someone actually type when curious about this?" the content started performing.

The ChatGPT citation angle is interesting too. I've noticed my traffic from AI referrals has been growing. Do you optimize for any specific structure (Q&A format, clear headings) to get picked up by LLMs?

Great setup.
Do you run these hidden - so they are only there for seo?

Or also add them to blog/article from nav. Experience difference in result in this?

Been doing programmatic SEO for three years and this is the most honest breakdown I've seen for founders who aren't technical.

One thing I'd add: internal linking matters as much as the pages themselves.

If you build 500 pages with no hub linking to them, Google treats them like orphans. The structure I use:

• One main category page per pattern
• That page links out to all the variations
• Each variation links back up to the category

That alone lifted my crawl rate by 60% and got pages indexed in days instead of weeks.

Do you run the competitor analysis prompt once and build from it or revisit it every few months as competitors update their pages?

Asking because my top competitor refreshes their content constantly and I'm not sure how often to repeat the research.

Tried the comparison pages angle last month. Went from 0 to page one for 40 keywords in 6 weeks.
I think spreadsheet-first tip is the thing very new and can be very helpful.

Good post but I want to push back on one thing.

pSEO works incredibly well when your keyword pattern has real volume. But it can backfire if your niche is too narrow.

I built 200 pages for a very niche B2B product and Google filtered most of them out because:

• Monthly search volume was under 50 per keyword
• No existing search history for Google to validate the intent
• Pages looked thin even with the unique section added

What I'd suggest instead: if you're in a small niche, write 10 to 15 deep articles first and build some domain authority before going programmatic. Use pSEO once Google already trusts your site.

Not a reason to avoid the strategy. Just worth knowing before you spend a weekend building pages that take six months to get indexed.

Most SEO agencies overcomplicate things and deliver excuses, not results. Love the spreadsheet-first approach and the reminder that AI search pulls from third-party sources (not just your own pages).

Saving this. Thanks for sharing the exact prompts too 👏

The point about AI search visibility is underrated. Most founders optimize for Google and completely ignore that their potential users are asking ChatGPT "what's the best tool for X" and getting answers from Reddit threads and listicles, not from their landing page. I tested this last week — typed "best static analysis tool for NestJS" into ChatGPT and got 3 tools recommended, none of which had better SEO than mine. They just had more Reddit mentions and community presence. The programmatic SEO approach is solid for Google but you're right that it does nothing for AI recommendations. The channel mix has completely changed.

The spreadsheet-first approach is underrated. Most people waste a week building the template before they know what the data should even look like. Filling 50 rows manually forces you to find the edge cases — keywords that don't fit the pattern, pages that need different CTAs.

One thing I'd add: run your first 10 pages through Search Console before scaling. If none of them index in 4-6 weeks, the pattern itself is probably too thin. Better to know at 10 pages than 500.

Solid breakdown. The pattern + spreadsheet-first approach makes programmatic SEO much more structured and scalable.
Also like the focus on adding unique sections to avoid thin or duplicate content issues

Great points on keeping SEO in-house. One thing I'd add: before deciding to DIY, audit your time constraints honestly. We spent 6 months building SEO skills internally and it paid off, but we had someone dedicated to it. The real win isn't the cost savings—it's having someone who deeply understands your product to write content that actually converts. Also worth testing one agency project first if you're unsure, just to see their process before committing long-term.

The spreadsheet-first approach before jumping into code is something I wish more founders talked about. So many people skip straight to building templates without understanding the actual keyword patterns, and then wonder why nothing ranks. The point about AI search pulling from third-party sources like Reddit is spot on too. I've been noticing that traditional on-page SEO alone isn't enough anymore when half the discovery is happening through ChatGPT and Perplexity. The game has shifted and most founders haven't caught up yet.

This is very important information. WIth the advent of LLM's, you can be your own advertising agency.

Step 1 is underrated - just pasting your site into Claude and asking it to tear it apart gives you more than most agencies deliver in a month. And yeah the spreadsheet-first thing in Step 3 is key, I've made the mistake of jumping into code before understanding the pattern. How long did it take before you actually saw the pSEO pages start ranking?

HIRE BEST AI HACKER RECOVERY CRYPTOCURRENCY / BANK ACCT RECOVERY EXPERT OPTIMUM HACKER RECOVERY
I'm so delighted to be able to share this story with you all
I put 880k USDT in an online cryptocurrency investment platform and I was scammed out of everything! I lost hope and all my efforts have been given up! I had obligations to my family, and I was worried that I wouldn't keep them. I spoke with a few of my colleagues, but they were all unfavorable in their opinions. When I went online, I found a piece advertising "OPTIMUM HACKERS RECOVERY," a hacking collective with a reputation for recovering cryptocurrency / Bank account recovery, that had received a lot of favorable feedback. I decided to get in touch with them, and within a short period of time OPTIMUM HACKERS RECOVERY was able to retrieve all of my stolen USDT through AI Machine . Being able to recover my misplaced money was incredible. This piece of writing is for everyone who has also lost money investing in cryptocurrencies. please reach out to them on

This is one of the most practical SEO breakdowns I've read here.

The 'spreadsheet first, then template' approach is underrated. Most founders jump straight to code and get stuck. Starting with 50 manual rows forces you to understand the pattern before automating.

Quick questions:

1. How long did it take from spreadsheet to first indexed pages?
2. Do you have an example of a 'unique section' that worked well for a competitive keyword?
3. Any advice for founders targeting local markets vs global SaaS?

The point about AI search (ChatGPT, Perplexity) pulling from third-party sources is eye-opening. Most SEO advice ignores this completely.

Thanks for sharing — saving this one.

Solid breakdown. I've been doing step 2 with comparison pages and it's working. How long before you started seeing indexed pages actually rank?

Thanks for sharing this great guide! As a bootstrapped solo dev building an AI image upscaler, I turned down all SEO agencies that reached out — most just deliver empty reports, so I’m doing SEO in-house.

I fully agree with the AI search visibility point; I’ve been prioritizing this for a while, as more users are finding tools via ChatGPT/Google AI now. I’m also already implementing the integrations keyword pattern and expanding my tool’s use cases.

Thanks for sharing this, SEO is a powerful growth engine. It takes time at the begining, but once setup, and once working, it can brings you tons of customers. Congrats man

Good insight about programatic SEO. I have done same for my saas (Taskip). where i have generated 200+ document template and make the available for anyone to download of use from our website. each of the post has some unique section so that don't get flag by google.

I think the “never hire an agency” take is a bit too absolute. We’ve seen both sides. Agencies can be useless if they’re just producing reports, but the same thing can happen when founders DIY without really understanding what’s driving results.

The pattern point is the interesting bit though.

Once you find something repeatable, it stops being “SEO work” and starts looking more like a system you can scale.

The risk is people build 1000 pages before they know if the pattern actually converts.

Did you validate the pattern first with a smaller set, or go straight into scaling it?

This is actually very true! I relate to this a lot. In the beginning, we worked with SEO agencies and honestly the experience was not great. It felt generic and slow with no real ownership. That is when we decided to build a strong in house SEO team, and now they handle all our projects.

We are very strict about SEO and focus a lot on what actually gets us results. AI SEO and structured content patterns are working for us too.

Solid breakdown. The "find one keyword pattern you can repeat" part is the real unlock. I run a portfolio of early-stage products and the comparison pattern (X vs Y) has been the fastest to get indexed for us. One thing I'd add: if your product generates structured data naturally (like predictions, reviews, reports), you can turn that data into pages almost for free. Each data point becomes its own long-tail landing page. We did this for a prediction platform and the compound effect on domain authority was way faster than I expected. The flywheel kicks in once Google sees you as the topical authority for an entire cluster.

One thing that combines well with the pSEO approach: before building 100+ pages around a pattern, run paid search or Meta ads on your top 5 keyword angles for $30-50 each. The ones that actually convert to signups tell you which patterns to prioritize for pSEO. Saves you from spending months building pages around keywords that drive traffic but never actually convert.

The other gap pSEO leaves is retargeting. Organic visitors who land on a pSEO page and leave without converting are already a warm audience -- they found you by searching a specific problem. A Meta retargeting campaign on those visitors typically converts at 3-5x what cold traffic does. You already paid for the click through your SEO infrastructure; the retargeting stack is what captures the value you'd otherwise leave behind.

DM me if you want to talk through the paid layer -- happy to look at the setup.

The interesting part here isn’t just pSEO — it’s how AI search is shifting distribution away from your own site.

Feels like ranking on Google and showing up in ChatGPT are becoming two completely different games.

100% agree — once I started doing SEO myself, I finally understood what actually moves the needle. Agencies felt like reports, this feels like real progress.

The Reddit driving 40% of ChatGPT answers stat is the most underrated point in here.

Curious how you’re thinking about the balance between pSEO page volume and the third party citation strategy. Do you find one compounds faster than the other in the early stages when you have low domain authority?​​​​​​​​​​​​​​​​

What stack are you using for the page generator? Wondering if Webflow CMS handles this at scale or if you need Next.js for Google to crawl it properly.

Fair point. Thinking about this, i feel a lot of founders focus too heavily on distribution rather than tightening the offer itself. Good traffic gets wasted when the offer itself is not clear.

I mean if you really think about it SEO is half the way done you can do way more with meta marketing or just organic marketing like short form content people will disocover you more than just SEO

Solid breakdown. Step 2 is where most people get stuck — I'm building an AI tool review site and the comparison pattern (Tool A vs Tool B) has been the easiest to scale by far. Each one has clear search intent and writes itself once you've actually tested both tools.

One thing I'd add to Step 4: showing real pricing data makes a huge difference for thin content. Most comparison pages just list features side by side. Adding actual cost breakdowns (especially in local currencies for non-US audiences) gives Google a reason to rank you over the generic listicles.

That's good advice. A couple of notes: A) Spend a couple of hours on YouTube; there are tons of free videos on learning the basics of SEO (example: Ahrefs courses). B) Ground your AI-generated text with the rules in Wikipedia: Signs of AI writing article to improve readability and filter the "AI slop" feeling of your text.

Great breakdown, Khadin — especially the point about pattern-based programmatic SEO. Most SaaS founders waste months writing random blog posts instead of building scalable keyword structures that compound over time.

The insight about AI search visibility coming from third-party sources is also very important. Many teams still think ranking on Google alone is enough, but tools like ChatGPT and Perplexity rely heavily on trusted mentions across forums, media sites, and listicles.

I’ve seen similar results when combining:
• structured SEO pages
• strong internal linking
• entity-based content
• consistent brand mentions across authoritative platforms

AI search is clearly shifting SEO from purely keyword optimisation to credibility optimisation.

Curious — which SEO pattern has driven the highest conversion rate for you so far?

Solid breakdown. One thing I'd add from the physical product / DTC side: the pSEO logic still holds, but the pattern shifts. Instead of "tool vs tool" it becomes "best [product type] for [sport/use case]" — and your Step 5 on Reddit + AI visibility is even more critical for physical goods, since product discovery happens almost entirely through community content, not direct search. Building that third-party presence before launch is something I'm actively working on right now.

Stop hiring SEO agencies—use AI to audit your site, scale programmatic content, and optimize for both Google and AI search to drive real leads.

Step 2 (pSEO patterns) is gold. I'm doing exactly this for my QR code tool — built comparison pages for every competitor ("OwnQR vs QRFY", "OwnQR vs Beaconstac") and use-case pages for every niche ("QR codes for restaurants", "QR codes for real estate"). One spreadsheet, one template, 200+ pages generated.

The part about AI search visibility in Step 5 is something most founders still ignore. I checked my Ahrefs today — 0 AI citations while my main competitor has 363. That's a whole distribution channel I've been missing.

Question: for programmatic pages, are you seeing Google actually index all of them? I submitted 340 URLs via IndexNow but Google seems much slower to pick them up compared to Bing.

What would you change in this for a Services company rather than a SaaS product?

I've been experimenting with a few stuff on a separate site for our services business. Separate because I didn't want to affect the organic traffic we are anyway getting on our main website.

Old Site: 300K monthly impressions and 2% CTR. Not sure if this is good or bad per industry standard but we are into software services business.

New Site: I created a new one to change our positioning. Eventual goal is to scrape the new one or merge old with the new one.

New: 1raft.com

This is one of the most honest posts I have read on here. The part about watching your bank account shift from "I have time" to "I need to do something now" hits hard — that transition happens faster than anyone warns you about. $250 MRR after 4 months with real users and real feedback is not nothing. Most people are still at zero. Going back to a job is not quitting; it is buying yourself a longer runway to keep going without the existential pressure. Some of the best indie projects were built nights and weekends by people with day jobs. The 1-star Glassdoor job is rough though — hope it turns out better than the reviews suggest. Keep shipping PostClaw.

kinda interesting take, especially the part about starting with a spreadsheet before touching code — that’s where i’ve personally gotten stuck before. i’d jump straight into building pages and then realize halfway the structure doesn’t scale cleanly.

curious though, with those comparison and “for [industry]” pages… how are you keeping them from feeling same-y after like the first 20–30? i get the idea of adding a unique section, but does that actually move rankings or just help with indexing?

also on the AI traffic side — have you noticed leads being meaningfully different in quality vs regular search, or is it still kinda early to tell?

This is really helpful, especially for early-stage founders like me. I'm building a legal tech tool (NDA/confidentiality agreements) and hThis is really helpful, especially for early-stage founders like me. I'm building a legal tech tool (NDA/confidentiality agreements) and have been putting off SEO because agencies quoted me $3-5k/month. The idea of finding one repeatable keyword pattern is a game changer -- I can definitely do "[tool] vs [competitor]" and "[use case] NDA template" at scale. Going to try Step 2 this weekend. Thanks for sharing this!ave been putting off SEO because agencies quoted me $3-5k/month. The idea of finding one repeatable keyword pattern is a game changer -- I can definitely do "[tool] vs [competitor]" and "[use case] NDA template" at scale. Going to try Step 2 this weekend. Thanks for sharing this!

Step 2 is where most bootstrapped founders lose a year of their life. The 'random blog posts' trap is brutal because it feels productive — you're writing, shipping, ticking boxes — but without a repeatable pattern the content doesn't compound.

One thing worth adding to Step 4: the thin content filter has gotten much more aggressive in the last 12 months. The 150-word unique section is a minimum. What actually works at scale right now is a 'primary pain + specific context' structure per page — not just variations of the same paragraph with the keyword swapped.

On the AI search piece (Step 5): the Reddit signal point is accurate and most founders completely miss it. One thing that moves the needle faster is participating in threads where the question is already being asked — not seeding new ones. If ChatGPT is pulling from a specific thread format, you want your voice and product name in the threads that already have traction.

Really practical breakdown. The pattern-based approach to SEO is something I wish more founders understood. Find one repeatable template and scale it, rather than chasing random blog posts that go nowhere. I've seen this firsthand managing product growth for over a decade. The AI audit step is smart too. I use Claude for exactly this kind of analysis. Quick question: how do you decide when a keyword pattern is worth scaling vs when you're generating pages that won't convert?

This is a solid approach, the growth in AI capability over the last couple of years is insane to say the least

Interesting take!

Pretty fair take for early-stage SaaS. An agency usually cannot invent positioning, customer language, or the first useful content, that has to come from the founder talking to users and writing from real pain. Where agencies have worked better in my experience is later, once you already know the keywords, pages, and conversion path that actually matter.

HIRE BEST AI HACKER RECOVERY CRYPTOCURRENCY / BANK ACCT RECOVERY EXPERT OPTIMUM HACKER RECOVERY

I'm so delighted to be able to share this story with you all

I put 880k USDT in an online cryptocurrency investment platform and I was scammed out of everything! I lost hope and all my efforts have been given up! I had obligations to my family, and I was worried that I wouldn't keep them. I spoke with a few of my colleagues, but they were all unfavorable in their opinions. When I went online, I found a piece advertising "OPTIMUM HACKERS RECOVERY," a hacking collective with a reputation for recovering cryptocurrency / Bank account recovery, that had received a lot of favorable feedback. I decided to get in touch with them, and within a short period of time OPTIMUM HACKERS RECOVERY was able to retrieve all of my stolen USDT through AI Machine . Being able to recover my misplaced money was incredible. This piece of writing is for everyone who has also lost money investing in cryptocurrencies. please reach out to them on

Em ail: support @ optimum hackers recovery . com

Wha tsApp: + 1-256-256-8636

Web site: https :// optimum hackers recovery. com

What stood out to me most is the “pattern over posts” idea. ~

Instead of writing random content, you focused on finding one repeatable keyword structure and scaling that.

This is great, and works...until every page targets the same stage in the user decision path.
You can scale patterns, rankings, and even get plenty of traffic, but if none of it supports the decision step, it stalls out.
That said, this is solid.

Wow, this is a super practical breakdown—love how actionable it is!
I’ve seen similar patterns work for lead-gen too, and tools like FORTE - talent qualification platform, can help founders instantly validate who’s actually engaging with your product while you focus on growth.
Thanks for sharing!

Really solid framework. I run a digital growth agency (MHA Consulting) and I'll be honest — the "spreadsheet first, template second" approach is exactly what separates good SEO execution from wasted effort. We've audited 200+ ad and analytics accounts, and the pattern is always the same: companies that systematize their content production outperform those chasing one-off blog posts by 3-5x on organic traffic.

One thing I'd add to Step 4: beyond unique sections per page, make sure you're mapping each pSEO page to a specific stage in the buyer journey. We've seen founders build hundreds of comparison pages that rank well but convert terribly because they all target the same awareness-stage intent. The fix is simple — tag each row in your spreadsheet with funnel stage and adjust the CTA accordingly.

Great post, bookmarking this.

This is gold. The 'spreadsheet first, template second' approach is something agencies never talk about because it demystifies the whole thing. One thing I'd add: don't forget to set up a simple monitoring system to track which patterns actually convert. You can burn through hundreds of indexed pages and still get zero customers if you're optimizing for search volume instead of buyer intent.

Solid breakdown. The pattern approach makes total sense — random blog posts is exactly the trap most founders fall into.

For AgileTask.ai the obvious patterns are:

• "AgileTask vs (Linear/Jira/ClickUp)" comparisons
• "sprint planning for (indie hackers/solo founders/solopreneurs)"
• "AI project management for (xyz niche)"

The AI search visibility point is the one I hadn't fully internalized. Just checked — AgileTask doesn't show up anywhere in ChatGPT recommendations for "sprint planning
for solo founders." That's the gap to close.

Question: for a brand new product with zero domain authority, do you start pSEO immediately or wait until you have some baseline traffic/credibility first?

Great Post for saas founders. I Have been doing SEO for last 7 years.But Your knowledge is very fruitful.

This works — but only if you already know what works.

pSEO doesn’t discover product-market fit.
It amplifies whatever you already have.

If your positioning is weak, you just scale weak positioning.
If your conversion is broken, you just get more non-converting traffic.

The real system is:
learn → validate → then scale

Most people here are trying to skip straight to scale.