# SaaS Content Marketing: A 90-Day Plan for New Apps

> SaaS content marketing for a new app with no audience: a 90-day plan for buyer-intent pages, one free tool, AI drafting and measuring signups per page.

- Category: SEO & Growth
- Tags: saas content marketing, content marketing, buyer-intent pages, ai search, seo for saas
- Published: 2026-10-22
- By: Traffiklist founder
- Post page: https://www.traffiklist.com/blog/saas-content-marketing-90-day-plan

You built it in a weekend. Maybe an AI builder wrote half of it. Then you posted it somewhere, collected a few upvotes, and watched the traffic graph go flat.

That's the usual ending now. Building got cheap, which makes SaaS content marketing one of the few channels that still compounds.

The reason is distribution. [RevenueCat's State of Subscription Apps 2026](https://www.revenuecat.com/state-of-subscription-apps), built from more than 115,000 apps, describes a market where new apps launch about seven times as often as in 2022 and distribution, not features, is the main barrier. Its data, [as 9to5Mac summarized it](https://9to5mac.com/?p=1042212), shows only 17% of new apps crossed $1,000 a month in recurring revenue in 2025, down from 19% the year before.

Here's the reframe I want you to take from this post: **when anyone can clone your product in a weekend, the thing they can't clone is the trail of useful pages, answers and mentions that tell buyers (and AI assistants) you exist.**

Most makers waste six months here. They write the wrong pages, publish them with an AI on autopilot, and never measure what happened.

I've been on the other side of this. In 2020 I wrote an ebook on a topic I picked by guessing. It made zero sales. I had no idea whether nobody saw it or everybody saw it and nobody cared, because I hadn't set anything up to tell me.

Same silence, different costume.

This is the written-content engine I'd build for a new SaaS or app today, with no audience and a small budget. It works even if you never use Traffiklist.

> **TL;DR:** SaaS content marketing works for a new app when you write buyer-intent pages first ("alternatives", "vs", "best X for Y"), ship one free tool, and let AI draft while you edit and decide. Make pages quotable, earn mentions where AI looks, and judge everything by signups per page at day 90.

**Who this is for:** you've shipped a SaaS, web app, AI tool or mobile app and have almost no audience. You're solo or a team of two or three, with $0 to a few hundred dollars a month and 8 to 10 hours a week. You'd rather have slow, compounding traffic than one loud launch day.

It isn't for funded teams with an agency and paid acquisition, though parts will still help. One honest note: no part of this is a promise. New pages are slow, and I'll show you my own numbers.

## Why does SaaS content marketing fail for most new apps?

**Most new apps fail at content for five reasons: publishing AI articles on autopilot, writing "what is X" posts first, treating SEO as Google rankings only, chasing AI-search hacks, and starting programmatic SEO too early. Each one wastes months. The fix is a narrower order of operations, with a human deciding what gets published.**

### ❌ Myth 1: "Publish 30 AI articles a month and let it run"

It's tempting, because autopilot tools are cheap. It's also the fastest way to waste a new domain.

Google's [spam policies](https://developers.google.com/search/docs/essentials/spam-policies) include a scaled content abuse rule. It targets producing many pages mainly to manipulate rankings, however they're made. AI-assisted content isn't the problem, volume with no value is.

There's a quieter reason it fails too. If a page could have been written by anyone with a search engine, nobody has a reason to cite yours.

### ❌ Myth 2: "Start with 'what is X' posts"

These are the posts AI summaries answer for free. Pew Research tracked 900 US adults and found that when Google showed an AI summary, people clicked a regular result link in 8% of visits, against 15% when there was no summary. Only 1% of visits clicked a link inside the summary ([Pew Research Center, 2025](https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/)).

Ahrefs saw the same squeeze from the publisher side: across 300,000 keywords, an AI Overview correlated with a 58% lower click-through rate for the top-ranking page ([Ahrefs, February 2026](https://ahrefs.com/blog/ai-overviews-reduce-clicks-update/)). That's correlation, not proof of cause, but the direction is consistent.

Buyer-intent pages are different. Someone searching "[competitor] alternatives" is close to choosing. Start there.

### ❌ Myth 3: "SEO means ranking on Google"

Google still matters, but buyers now also start in chatbots. In G2's March 2026 survey of 1,076 B2B decision makers, 51% said they start software research with an AI chatbot more often than with Google ([G2, 2026](https://learn.g2.com/g2-2026-ai-search-insight-report)). G2 sells review software, so weigh that.

The job isn't only to rank. It's to be named in the answer.

### ❌ Myth 4: "I need llms.txt and special AI markup"

Google's May 2026 guide says that, from its perspective, optimizing for generative AI search is still SEO, and that you don't need AI-specific files or special markup for its AI features ([Google Search Central guide](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide), [announcement](https://developers.google.com/search/blog/2026/05/a-new-resource-for-optimizing)). That covers Google's own features, not every chatbot, but it's a good reason to spend your time on pages, not files.

### ❌ Myth 5: "Programmatic SEO from day one"

Pages generated from a template work when each one carries data nobody else has. Swap-the-city-name pages don't. Start with 20 to 50 pages after you have unique data, never before.

## How do you set up before you write a word?

**Spend the first two weeks on tracking, a one-page positioning doc, listening alerts, a keyword sprint and an AI-visibility baseline. It's about 10 to 12 hours of work and it decides which pages you write. Skip it and you publish into the dark, with no idea what worked.**

Here's the order: foundation (days 1 to 14), buyer-intent pages (days 15 to 45), one free tool, a drafting pipeline, distribution and AI citations (days 46 to 75), then measure and decide (days 76 to 90).

Three rules apply everywhere:

- **Write for buyers first.** Comparison, alternatives and "best X for Y" pages before "what is X" posts.
- **AI drafts, humans decide.** Automate research, drafts and distribution. You own strategy, first-hand insight and the final edit.
- **Measure signups and revenue per page, not traffic.**

I also turned this into a staged plan with a gate at the end of each stage. It's the [Content-Led Growth Roadmap](https://shareef.notion.site/Content-Led-Growth-Roadmap-Launch-to-10K-MRR-40104995084a81ed8ba8c2a089f8fbf0), a free Notion page. Copy it and tick the boxes as you go.

### Step 1: Set up tracking and write your positioning doc

**What to do:**

- Connect [Google Search Console](https://search.google.com/search-console) and [GA4](https://analytics.google.com) (or any analytics you prefer).
- Add a "How did you hear about us?" field to your signup form. AI-search referrals often get missed in analytics, and this catches them.
- Write a one-page positioning doc: your ideal customer, the three jobs your app does, your top five competitors, and your honest differentiators.

**Why it works:** everything later gets cheaper when you can paste that doc into an AI prompt as context. It also stops you writing pages about topics your product doesn't win.

**Example:** for a scheduling tool for freelancers, the three jobs might be "stop double-booking", "send reminders without nagging" and "get paid before the call". Those three phrases are your cluster topics.

**Common mistake:** skipping the signup field because "analytics will tell me". It won't, for AI referrals.

If you've already launched and can't tell where signups come from, start with [the four-stage diagnosis for no users after launch](https://www.traffiklist.com/blog/no-users-after-launch). It's the same logic, applied to a launch.

### Step 2: Listen, then run a keyword sprint

**What to do:**

- Set alerts for competitor names and your buyers' pain phrases. [F5Bot](https://f5bot.com) is free (Reddit and Hacker News). [Syften](https://syften.com) is about $20 to $30 a month and covers more sources.
- Spend 20 to 30 minutes a day replying helpfully in Reddit, Hacker News and Indie Hackers threads. No links yet.
- Run one keyword sprint. [Ahrefs](https://ahrefs.com/pricing) Starter is $29 and you can cancel after a month, or use a [Semrush](https://www.semrush.com) free trial. Pick 30 to 50 low-difficulty, buyer-intent keywords: "alternatives", "vs", "best X for Y", pricing, integrations.
- Take an AI-visibility baseline. Ask ChatGPT, Perplexity and Gemini 20 buyer questions ("best tool for X") and write down who gets recommended.

**Why it works:** new domains can compete on specific, low-volume, high-intent keywords where the results are thin. And the exact words people use in threads are the words your headlines should use.

**Baseline log template:**

```
Date: ______
Prompt: "best [category] for [persona]"
Who was named: ______
Was I named? Y / N
Sources the AI cited: ______
```

**Common mistake:** picking keywords by search volume alone. A 50-searches-a-month keyword with a buyer behind it beats a 5,000-searches keyword with a student behind it.

## Which pages should you write first, and how do you draft them with AI?

**Write buyer-intent pages first: "[competitor] alternatives", "[you] vs [competitor]", "best [category] for [persona]" and pricing or integration pages, about two a week. Answer in the first two or three sentences, use named, dated numbers, and say when a competitor wins. Let AI draft and you edit. Never auto-publish.** Mine are the [launch board alternatives](https://www.traffiklist.com/alternatives) and [Traffiklist vs Product Hunt](https://www.traffiklist.com/compare/traffiklist-vs-product-hunt) pages.

### Step 3: Write the money pages

**What to do:** publish your first 6 to 12 buyer-intent pages across days 15 to 45. About two a week is realistic for a solo maker with AI help.

In the order I'd write them:

- **"[Competitor] alternatives"**, for people already unhappy with someone else
- **"[You] vs [Competitor]"**, written honestly, including who should pick the other tool
- **"Best [category] for [persona]"**, a short list where you're one entry
- **Pricing and integration pages**, for people comparing, not browsing

Here's a page skeleton you can copy:

```
Title: [Competitor] alternatives: [N] options for [persona] (2026)
First 2-3 sentences: Direct answer. Who each option is best for.
Section 1: Quick pick list (3-5 bullets, one line each)
Section 2: What to look for (3 criteria your buyer cares about)
Section 3: Each option, same fields:
  - Best for / Not for
  - What it does well (one specific detail)
  - Price (with the date you checked it)
Section 4: Where [your product] fits, with a disclosure
Section 5: FAQ (4-6 questions in your buyer's words)
Last updated: [Month Year]
```

**Why it works:** these pages rank where a new domain can compete, they convert because the reader is close to choosing, and they're the kind of page AI answers cite. The Princeton and IIT Delhi paper that coined "generative engine optimization" tested adding statistics, quotations and citations, and reported visibility gains of up to 40% in generative answers ([Aggarwal et al., KDD 2024](https://arxiv.org/abs/2311.09735)). The study held retrieval constant, so it tells you how to get quoted once you're found, not how to get found. The other steps cover that.

**Example:** instead of "our tool is faster", write "median setup time was 6 minutes in my test, against 22 for [competitor] (tested October 2026, screenshot below)". A specific, dated number is a reason to cite you.

**Common mistake:** being unfair to competitors. State the facts, link their pricing page, and say when they're the better choice. It builds trust and protects you from claims you can't back up.

### Step 4: Build one free tool

**What to do:** build a calculator, generator, grader or template that solves a small related problem and points at your app. Use the same AI builder you used for your product, and publish it with a short explainer page.

**Why it works:** a free tool delivers value in seconds, earns links, and gives AI engines something concrete to recommend. It's cheap now. I built a [launch readiness checker](https://www.traffiklist.com/tools/launch-readiness-checker), a Best Time to Launch tool and a Launch Image Resizer on this idea.

**Example:** a scheduling tool for freelancers might ship a "no-show cost calculator". Enter your rate and your no-show rate, get a yearly number, then see how reminders reduce it.

**Common mistake:** building a tool that has nothing to do with your product. The point is a visitor who has the problem you solve.

### Step 5: Build the drafting pipeline

**What to do:** set up a simple pipeline: keyword, AI brief, AI draft, **your edit**, saved as a CMS draft, you hit publish. Build it in [n8n](https://n8n.io) (free if you self-host) or [Make](https://www.make.com) (free for 1,000 operations a month). Here's a brief prompt to start with:

```
You're helping me write a buyer-intent page.
Context: [paste your one-page positioning doc]
Keyword: "[keyword]"
Read the top 10 results for this keyword and give me:
1. The questions a buyer is trying to answer
2. What every result covers, and what none of them cover
3. A heading outline that answers the main question in the first 2-3 sentences
4. Places where I need to add first-hand data, a screenshot or my opinion
Do not write the article yet.
```

**What stays human:**

- Which topics to write about
- Any claim about a competitor
- Product accuracy and prices
- First-hand details: screenshots, tests, numbers from your own product
- The final edit and the publish button

**Why it works:** AI is fast at structure and slow at knowing what's true about your product. Google's guide says its AI features rely on the same core ranking and spam systems as regular Search, so quality is what gets tested. Your edit adds the "non-commodity" part.

**The tool stack by budget.** Start with the first list and upgrade one tool only when it becomes the bottleneck. These are the prices I recorded in October 2026, so check them before you buy.

**Starter (about $0 to $80 a month):**

- Research: Search Console and [Ahrefs Webmaster Tools](https://ahrefs.com/webmaster-tools) (free), plus one month of Ahrefs Starter
- Writing: [Claude](https://claude.ai) or [ChatGPT](https://chatgpt.com) (about $20) plus your own edit
- Automation: n8n self-hosted (about $5 to $10 for a server) or Make free
- AI visibility: manual checks, or [Otterly.AI](https://otterly.ai) at $29

**Mid (about $200 to $350 a month):**

Disclosure first: the Frase link in this list is an affiliate link, so I earn a commission if you sign up. It costs you nothing extra, and you can skip it.

- Research: Ahrefs Lite ($129) or Semrush ($139)
- Writing assist: [Frase](https://www.frase.io/pricing/?via=sharyph) ($39 to $103) or [Surfer](https://surferseo.com)
- AI visibility: [Peec AI](https://peec.ai) (about $95) or Otterly at $189

**Growth (about $600 to $1,500 a month):**

- Ahrefs Standard ($249) or Semrush Pro+ ($299)
- [Clearscope](https://www.clearscope.io) for editorial QA, and a freelance editor with domain knowledge, often the best dollar spent at this stage
- Peec AI Pro or Advanced for share of voice

**About "autopilot" SEO tools.** Outrank, SEObot, Koala and Arvow can write and publish for you. Use them as draft generators only, publish as drafts, and turn off any automatic backlink exchange, because exchange schemes look like link spam. Several of these vendors make big claims about their own results. Those are marketing, not evidence.

**Common mistake:** automating the publish step because it's "just one more click". That click is the whole quality gate.

## How do you get cited, not just ranked?

**Distribute every page through communities and your own channels, then earn mentions on the third-party pages AI engines read: "best X tools" lists, review sites and relevant directories. Once a month, check whether you're named for 20 to 50 buyer prompts, and write a page for every gap you find.**

### Step 6: Repurpose and show up in communities

**What to do:**

- Turn every article into an X thread, a LinkedIn post and a newsletter section. Save them as drafts in [Typefully](https://typefully.com) or [Buffer](https://buffer.com) (free tiers) and review them.
- Post as the founder three to five times a week, with real numbers and screenshots. B2B: LinkedIn. Indie and dev: X.
- Start an email list on a free tier ([Beehiiv](https://www.beehiiv.com) or [Substack](https://substack.com)) and send one useful email every two weeks.
- Reply helpfully in the communities from Step 2. Now, when it fits, mention your page and say you built it.

**Why it works:** Google's guide notes that its AI features may reflect what's said about products across blogs, videos and forums, and that seeking inauthentic mentions is unlikely to help. Real participation is the only version that holds up. I covered the rules for Reddit and Hacker News in [how to market a new app without ads](https://www.traffiklist.com/blog/market-new-app-without-ads), so I won't repeat them here.

**Common mistake:** dropping a link in a thread you've never helped in. Bans are permanent, and the reputation follows you.

### Step 7: Earn the third-party mentions AI reads

**What to do:**

- **Pitch listicles.** Find 10 to 20 "best [category] tools" articles and newsletters in your niche and ask to be included. AI answers lean on these lists. Here's a short pitch:

```
Hi [name], I read your "[article title]" and found it useful.
I built [product], a [one-line description] for [persona].
Here's something specific that might help your readers: [one concrete detail or number].
If it fits, I'd love to be considered the next time you update the list. Happy to give you a free account or answer any questions.
```

- **Claim review and directory listings.** Create profiles on [G2](https://www.g2.com), [Capterra](https://www.capterra.com) and [AlternativeTo](https://alternativeto.net), and keep your product description identical everywhere. Don't submit to 100 directories. Start with the free [Directory Tracker](https://shareef.notion.site/The-Directory-Tracker-3f604995084a81f79476c26f448381c5), which lists free launch directories ranked by Domain Rating, with a ref tag for each one so you can log what they actually send. Then check the `rel` attribute on every live link yourself, as I explain in the [startup directories triage](https://www.traffiklist.com/blog/startup-directories-triage-playbook).
- **Run the AI prompt test monthly.** Run 20 to 50 buyer prompts in ChatGPT, Perplexity and Gemini and write down who is named and which sources are cited. Where a competitor appears and you don't, write a "vs" or "alternatives" page or go after the source the AI cites. [Otterly.AI](https://otterly.ai) and [Peec AI](https://peec.ai) can track this for you.

**Why it works:** you can't edit what a chatbot says, but you can change what it reads. Mentions on pages it already trusts are the lever you have.

**Example:** say you run "best invoice reminder tool for freelancers" and three competitors are named, all citing the same two Reddit threads and a G2 category page. Your to-do list writes itself: help in those threads, and get a G2 listing.

**Common mistake:** checking once, finding nothing and concluding it doesn't work. Check monthly, and look at which sites get cited, not only whether you appear.

For free ways to get linked from real sites, see my [free 90-day backlinks plan](https://www.traffiklist.com/blog/new-website-backlinks).

### Where does Traffiklist fit?

Traffiklist is a weekly launch board for indie makers. It's one source of mentions and tracked clicks in Step 7, not a replacement for any other step. Yes, I built Traffiklist, so weigh this accordingly.

It helps with one specific thing: knowing which sources send real visitors. Every link Traffiklist sends is a tracked redirect, so the free dashboard shows clicks by source (homepage, newsletter, badge, social) instead of a vote count. Upvotes are a compliment, clicks are a fact.

You get a permanent product page, and once the listing has 3 upvotes and carries [the Traffiklist badge](https://www.traffiklist.com/badge), a do-follow backlink. To go live free, you upvote five other products first. A backlink can help a new site get discovered. I can't promise it will move your rankings, and nobody can.

## How do you measure SaaS results and decide at day 90?

**Review in Search Console at days 76 to 90: refresh pages ranking 8 to 30, delete or merge pages with zero impressions, rerun your AI prompt test, then keep your top one or two channels by signups. Expect Google to be slow. Ahrefs found only 1.74% of newly published pages reached the top 10 within a year.**

### Step 8: Refresh, prune and read the right numbers

**What to do:**

- In Search Console, find pages ranking 8 to 30. Add new data, FAQs and internal links, and update the "last updated" date.
- Delete or merge any page with zero impressions after 90 days.
- Rerun the AI prompt test and compare it with your baseline.
- Rank channels by signups, not traffic, using your "How did you hear about us?" field and your UTM tags.

**Why it works, and what to expect.** Ahrefs' study of newly published pages found only 1.74% reached the top 10 within a year in one sample, and 6.11% in a second sample of non-empty English pages. Of the pages that did make it, about 40% got there within a month ([Ahrefs](https://ahrefs.com/blog/how-long-does-it-take-to-rank/)). It suggests updating content that isn't in the top 10 after about six months.

So for a new domain, early traction usually comes from communities, third-party mentions and AI answers, while Google compounds later. That's why Steps 6 and 7 aren't optional extras.

**Common mistake:** judging the whole engine at week three. Give each channel 90 days before you cut it.

### Step 9: Decide what to double down on

**What to do:** at day 90, pick your top one or two channels by paying signups and put your time there. Add a small programmatic test (20 to 50 pages) only if you have unique data, such as integrations, templates or benchmarks from your own product. Add one new free tool a quarter and publish original data, such as a survey of your users, once a quarter.

The Content-Led Growth Roadmap lays out the gates for the longer run: tracking before launch, 100+ signups in month 1, your first $1,000 in monthly revenue by months 2 to 4, and organic and AI search bringing at least 30% of signups by months 4 to 9.

Those are targets, not predictions. Most apps won't hit them on this schedule, and the data above says why.

**Common mistake:** keeping every channel "just in case". A flat channel at day 90 is information.

### What does this look like with real numbers?

Here's what I can show from my own site, with dates. I don't have results to brag about, and I'd be making them up if I did.

Before this blog existed, Google Search Console for traffiklist.com showed 8 clicks and 151 impressions between September 20 and October 5, 2026. That's my baseline.

![Google Search Console's Performance report for traffiklist.com from Sep 20 to Oct 5, 2026, showing 8 clicks and 151 impressions](https://ndcrqkpawarjbftyicni.supabase.co/storage/v1/object/public/blog-covers/new-website-backlinks-1791458699502.webp)

Between October 5 and October 20, 2026, I published seven posts. I'll compare that baseline against the same report in a few weeks and share what moved, and what didn't.

The clearest example of "non-commodity" content I have is the weekly report. For week 41 of 2026, it showed 20 launches and 455 validated clicks in their first seven days, with a median of 18.5 clicks per free launch. You can read it in the [week 41 report](https://www.traffiklist.com/report/2026-W41), and the rules for what counts as "validated" are on the methodology page.

Nobody else can write that page, because nobody else has the data. That's the idea behind Step 9's "publish original data", and it's the kind of page an AI engine has a reason to cite.

### The 90-day checklist

**Days 1 to 14:**

✅ Search Console and analytics connected, "How did you hear about us?" on signup

✅ Positioning doc written, alerts running, 20 to 30 minutes a day in communities (no links)

✅ 30 to 50 buyer-intent keywords chosen, AI-visibility baseline recorded for 20 prompts

**Days 15 to 45:**

✅ 6 to 12 buyer-intent pages published (alternatives, vs, best X for Y)

✅ One free tool shipped, with an explainer page

✅ Drafting pipeline running, every draft saved as a draft and edited by you

**Days 46 to 75:**

✅ Each article repurposed into a thread, a LinkedIn post and a newsletter section

✅ 10 to 20 listicles pitched, G2, Capterra and AlternativeTo profiles claimed

✅ A few curated directory listings, with the link attribute checked

**Days 76 to 90:**

✅ Pages ranked 8 to 30 refreshed, zero-impression pages deleted or merged

✅ AI prompt test rerun, top one or two channels picked by signups

❌ Not auto-publishing anything

❌ Not buying a bulk package of AI articles or directory submissions

**Your weekly rhythm (about 8 to 10 hours):**

- Two buyer-intent pages: AI brief and draft, then your edit (4 to 5 hours)
- Community replies, 20 to 30 minutes a day
- Three to five founder posts, repurposed from your articles (about 1 hour)
- Review signups by source and fix the weakest page (30 minutes)

## Frequently asked questions

### Does AI-written content rank on Google?

It can, but Google's rule is about quality, not who or what wrote it. Its scaled content abuse policy targets producing many pages mainly to game rankings, whether by AI, humans or both. A draft you've edited, fact-checked and filled with first-hand detail is a different thing from 30 unedited articles a month.

### How long does SEO take for a new site?

Slowly, and only a minority of new pages get there. Ahrefs found 1.74% of newly published pages reached the top 10 within a year in one sample, and 6.11% in another filtered to non-empty English pages. Plan for communities, third-party mentions and AI answers to carry the first three months.

### Do I need llms.txt or special schema for AI search?

Not for Google's AI features. Its May 2026 guide says you don't need AI-specific files or special markup, and that optimizing for generative AI search is still SEO. Other chatbots work differently, but your time goes further on pages, mentions and clear answers.

### Is programmatic SEO worth it for a new SaaS?

Only later, and small. Start with 20 to 50 pages and only when you have unique data behind each one, such as integrations, templates or benchmarks from your own product. Pages that only swap a keyword or a city into a template tend to get pruned or ignored.

### How much time does SaaS content marketing take?

About 8 to 10 hours a week for one person using AI for briefs and drafts. Roughly 4 to 5 hours go on two pages, 20 to 30 minutes a day on communities, an hour on founder posts and 30 minutes reviewing signups by source.

## Key takeaways

- Write buyer-intent pages first, and say plainly when a competitor is the better choice.
- Let AI draft and a human decide. Never auto-publish.
- Make pages quotable: answer in the first two or three sentences and use named, dated numbers.
- Earn mentions where AI reads: communities, listicles and a few curated directories.
- Judge each channel by signups at day 90 and cut the flat ones.

## 👉 What to do next

Pick the level you're ready for.

- **Read:** copy the [Content-Led Growth Roadmap](https://shareef.notion.site/Content-Led-Growth-Roadmap-Launch-to-10K-MRR-40104995084a81ed8ba8c2a089f8fbf0) and mark which stage you're in.
- **Try it free:** run your 20-prompt AI baseline this week. It takes about an hour and shows you where you're missing.
- **Submit:** [submit your product, free](https://www.traffiklist.com/submit), add the badge, and watch the clicks arrive by source. To log other directories too, grab the [Directory Tracker](https://shareef.notion.site/The-Directory-Tracker-3f604995084a81f79476c26f448381c5).
- **Go further:** if you want a guaranteed placement, see the [Featured plans](https://www.traffiklist.com/pricing). And if you're planning the launch itself, my [10-week SaaS launch plan](https://www.traffiklist.com/blog/saas-launch-traffic-playbook) picks up where this one stops.

Stop guessing. Pick two pages, write them this week, and let the numbers tell you what to do next.

Hit reply and tell me what you're building. I read every one.

**Sharyph**

P.S. Updated October 2026. Search rules, AI-citation patterns and tool prices change fast, so check the live pages before you pay for anything. If this saved you from buying an autopilot article package, send it to one maker who's about to.

> **Sharyph** builds Traffiklist, a weekly launch board for indie makers, and writes The Digital Creator newsletter. Say hi on [X](https://x.com/sharyph_) or reply to any email. I read every one.

Read on [Traffiklist](https://www.traffiklist.com/blog), the weekly launch board for indie makers.