SEO and content tactics

List ~2,000 prompts (e.g. 'best calorie tracking app 2026'). Get Google search volume from Ahrefs/Google Search Console and assume ~30% of it happens on AI search (15K Google impressions/month -> ~5K). Then pull the citations for each prompt across ChatGPT, Gemini and Google AI Overviews and prioritize URLs (often one Reddit thread) cited across many prompts and engines.

'Tentpole strategy': instead of marketing the core product (TaskMagic) with free info content, sell functionality via small, cheap standalone products. Step 1: build for the core customer's next problem (TaskMagic's buyers were business owners, agencies and freelancers who need sales). Step 2: keep it very simple and specific, e.g. Mail-Lead, a basic cold email outbound tool, because specific products ('cold outreach email for some sector') rank faster on SEO than a general one. Sell it to existing customers and let its own SEO attract new ones. It is its own product, not a white-label.

Content-first: most long-form YouTube videos include a smooth, soft transition to the app in the middle or near the end rather than a hard pitch (hard pitches only on Instagram shorts). Every click from the video and description link is tracked per video, which showed that stories about a user who transformed their body on the app drive more trial starts than broad educational videos (a diet or a workout program) that reach more people. New videos are now planned around stories that tie into the product pitch.

After seeing only ~60 clicks/day in Google Analytics and reasoning that 10x traffic could mean 10x MRR, hired six content writers to publish blog posts consistently, while the tech team built and launched free tools and other useful content for the target users. Kept it up for 6-8 months before traffic grew.

Using the domain authority from press backlinks, found keywords with relatively low competition and high volume (e.g. pickup lines, good morning texts, best dating apps) and targeted them with blog posts. Posts carry in-article pop-up ads for the product, with experiments on which product to promote on each post; different posts route to different products. Upwork contractors helped with SEO. Space was undersaturated: only one serious SEO competitor, the rest cheap content farms.

'Fighting for customers one-to-one': crawled Reddit threads for people with the problem and posted lead magnets across social media, funnelling signups into a waitlist (then into usability calls).

Uses programmatic SEO on the database products (pages generated from the data). The founder says SEO works very well for directory and database products and that consistency is key. No details on page templates or volume were given.

Investor Hunt gets no marketing effort besides SEO.

Two approaches. Post seeding: write a post with the title/body of an already-cited post to outrank it. Comment seeding: in the exact thread being cited, add a high-value comment with your own ranked list (e.g. 'top 20') featuring your product, or reply to the cited list ('my favorite is number five') several times; AI engines increasingly cite a comment rather than the post, and re-read threads on refresh, so editing a cited list to feature only yours changes answers. Clover uses ~4,000 owned subreddits and owned/customer accounts to keep posts and comments live.

SEO from old blog posts once drove 30-40% of traffic but declined with AI search. In 2026 they hired an external AI-search consultant, optimized existing content, and built free web tools (calorie calculator, macro calculator, etc.) that give real value and transition into the web quiz. Tools tend to rank well in AI search.

Jeremy collaborates with lesser-known researchers, coaches and dieticians on videos about their findings, partners with UBC on studies, and runs studies inside the app with customers (e.g. a 3 vs 6 training days per week study, using in-app data). A team of dieticians, coaches and researchers watches for new research to inform content.

Every presentation/website made in Gamma is shared inside companies and at conferences (personal/social viral loops), and published 'gammas' get indexed by search engines and cited in ChatGPT/Claude answers (SEO/AEO), bringing in new users without ad spend.