I'm building PetSignal — a browser-based AI that reads dog and cat body language from a photo and flags stress signals (whale eye, freezing, lip curl) before they escalate. It's a solo project, the core purchase is a $2.99 credit pack, and that one number dictates the entire growth strategy.
Here's the math that rules everything: at a ~$3-10 one-time AOV, paid ads can never work. US pet-niche CPC runs $0.5-2; even at optimistic conversion rates you're paying $50+ to acquire a $3 customer. So the product lives or dies on organic search. That constraint turned out to be a gift — it forced me to treat SEO as an engineering discipline with real feedback loops instead of a checklist.
Twenty-eight days of Search Console data later: 230 clicks, 15,953 impressions, and impressions in the second half up 105% over the first. Small numbers, real slope. These are the five things the data actually taught me.
1. Symptom pages beat product pages — but not the way I expected
My content engine is ~35 "symptom pages": Dog Opening and Closing Mouth Repeatedly, Cat Whale Eye, Cat Breathing Fast. Each one answers a moment of owner anxiety that ends with a photo the owner has already taken — which is exactly what the product analyzes.
The surprise: one page carries 54% of all clicks. Not the homepage, not the tool pages — a page about dogs opening and closing their mouths. Meanwhile my four "commercial" analyzer pages have CTRs of 6-9% (site average: 1.8%) but almost no impressions. The lesson: content pages find demand, commercial pages convert it, and internal links are the pipe between them. I spent a day rebalancing internal links after realizing my refund policy — sitemap priority 0.4 — carried roughly twice as many site-wide links as any commercial page, while the general-purpose analyzer had exactly zero editorial links pointing at it.
2. Every page is data, not HTML
All 35 symptom pages live in one TypeScript file as structured objects: title, quickAnswer, sections, tables, related links. One React template renders them all. This sounds like a detail; it's the whole game:
- A section heading ending in
?automatically joins FAQPage structured data — so writing content in question form is a one-character schema decision. - Comparison tables became a typed field after I learned answer engines lift tables more readily than prose. Adding table support to the template upgraded 35 pages at once.
- Site-wide fixes (last-updated dates, CTA placement, internal link cards) are one-file changes.
If you're building content SEO as a developer, this is the leverage: don't write pages, write a page system.
3. Title rewrites: one 24x win, one two-week disaster
In mid-July I rewrote titles on underperforming pages into what I call "answer-promise" format: Cat Wagging Tail While Lying Down: 4 Meanings & Vet Red Flags. One page went from 21 impressions to 533 in the following two weeks — Google started testing it against dozens of new queries.
Two weeks earlier, I'd changed the meta on a page ranking #7. It dropped to #10 and took two weeks to recover. Same lever, opposite outcomes. The rule I derived: rewrite titles on pages with nothing to lose (page 2+), never touch pages that are already winning. Every title change is a bet, and position is the stake.
4. An AI Overview ate my best page — the fix wasn't more keywords
My top page ranks #2 for its query, but CTR sat under 2%. Live SERP inspection showed why: an AI Overview answers the question above me, citing big veterinary sites. My page wasn't cited because it didn't cover two causes the Overview emphasized.
The fix was content, not optimization: I rewrote the opening into a ~100-word extractable answer covering all six causes, added a cause × symptom × urgency table, and added the missing medical content. Whether it wins a citation is still an open experiment — but "be quotable by the machine that's answering above you" is now a design requirement for every page.
5. Indexing is a solved pipeline (if you actually build one)
New pages here get: sitemap entry (automatic, since pages are data) → IndexNow ping on deploy → Search Console request for stragglers. Result: the last batch of 9 pages was fully indexed within 24 hours; a request-indexing queue I ran over two weeks went 19/19. If your pages sit "Discovered - currently not indexed" for weeks, the answer is usually authority — but the mechanical half of the problem is entirely automatable.
Where it actually stands
Full honesty, because that's the point of building in public: this is still early. The organic curve is compounding — impressions tripled over the month — but compounding from a small base is still small, and the paywall hasn't seen enough traffic yet to say anything meaningful about its conversion rate.
The next experiments: a free cat breathing rate counter (tap-to-count, zero AI cost) as a link-earning utility, and community distribution where the pet-owner anxiety actually lives.
Happy to answer anything about the page-system architecture or the Search Console feedback loops in the comments.
Top comments (2)
an ai overview eating your best page is mostly a measurement problem before it's a ranking problem. the click is gone, but the impression still fired, so that page will look like it's rotting when it might actually be getting read more than ever.
i'd watch branded and direct search volume as the shadow metric there. if your name shows up inside the overview text, some fraction of people search the tool name instead of clicking the blue link, and that shows up in search console as a separate query you'd never connect to the page that lost the traffic.
28 days is also short enough that one google update can look like a trend, so i'd probably re-pull the same window in march before rewriting anything else.
at $2.99 the informational queries are the funnel, not a distraction from it.
The insight about building a reusable page system rather than individual pages really stood out. I also liked your point that symptom pages capture intent while commercial pages convert it, with internal linking connecting the two. Sharing both the wins and the failed title experiment makes the lessons much more credible. Looking forward to seeing how the free utility impacts backlinks, brand mentions, and AI search visibility over time.