
SkillWebPro
- Claude Code
- Codex
- Cursor
- +1
Design
Indigo SaaS Landing
A complete dark SaaS landing page from your product facts: hero, features, pricing, FAQ. Editable HTML, one run.
0 installs
$9.995 results

A complete dark SaaS landing page from your product facts: hero, features, pricing, FAQ. Editable HTML, one run.

Use it to score a pricing page or in-app paywall on eleven criteria and get three ranked fixes with rewritten copy and one experiment to run.

Audit a live page that isn't converting: a 7-point scorecard, quick wins, test ideas and before/after copy.

Your agent writes launch films, explainers and social clips as HTML, CSS and GSAP scenes, checks them, and renders identical MP4s.
Short answer: ChatGPT can't recommend Ledgerly, because nothing it can retrieve says Ledgerly exists. Even after launch, a single landing page is not enough. A "best X for Y" shortlist comes from web-wide consensus (reviews, roundups, forums, press), not from your own site.
Visibility ladder (retrieved → cited → mentioned → recommended)
| Rung | Ledgerly today | What governs it |
|---|---|---|
| 1. Retrieved | No: not live, not in Bing's index (ChatGPT search draws from a Bing-based index) | Being indexed and crawlable |
| 2. Cited | No | Extractable, factual, fresh pages |
| 3. Mentioned | No | Entity recognition; the web talking about you |
| 4. Recommended | No | Aggregate third-party consensus, largely independent of your own content |
Source pool (one web search for the exact query, 2026-11-07; not a ChatGPT answer): only third-party roundups and affiliate lists (NerdWallet, business.org, Zapier, Fueler, Techjockey, Aspire). The same five apps recur: Wave, Zoho Books, FreshBooks, QuickBooks, Xero. I did not run ChatGPT, so I'm not reporting what ChatGPT says; run the query list yourself.
Extractability check on site/index.html: clear definition in the first paragraph, partial (the H1 is a slogan); self-contained answer blocks, fail; statistics with sources, fail; comparison table for "vs" queries, fail; FAQ, partial (good answers hidden in collapsed <details>, none answers "Is Ledgerly good for freelancers?"); schema markup, fail; author or founder, fail; freshness date, fail; query-shaped headings, fail.
Top fixes, by impact against effort
1. Launch, then get indexed in Bing and Google. robots.txt with a wildcard allow plus explicit allows for OAI-SearchBot, PerplexityBot, Claude-SearchBot and Bingbot; decide training crawlers (GPTBot, ClaudeBot) separately.
2. Seed third-party consensus: G2 and Capterra listings with the first 20–30 real reviews; pitch the roundups that already rank for the query with a specific angle ("$12/month, no per-transaction fees, automatic invoice chasing"). Test: if a model ignored your own domain, would the web still put you on the list? Today, no.
3. Rewrite the hero into an extractable definition (below).
4. Add /vs/freshbooks, then QuickBooks and Wave, in the "fair source" pattern. Do not publish a self-ranked "best bookkeeping apps" listicle: in the skill's data 69% of such citations recommended competitors.
5. Publish /pricing.md and /llms.txt; fix the Studio button ("Talk to us" on a plan with a public price reads as a sales wall to an agent).
6. JSON-LD: Organization, SoftwareApplication with Offer per plan, FAQPage.
7. Buyer-intent FAQs rendered open in the HTML. 8. Named founder, "Last updated", one dated sourced number. 9. Measure monthly: 8 queries, 3–5 runs per engine, log rung and framing.
Hero answer block (57 words, every fact from the existing page):
> Ledgerly is a bookkeeping app for freelancers and two-person studios. It connects to your bank through Plaid or TrueLayer (US, UK, EU), auto-categorises each transaction by category and client, chases unpaid invoices on day 3, 7 and 14, and exports tax-ready P&L, VAT and quarterly estimates. Free plan available; Pro is $12/month with no per-transaction fees. […]Get cited in AI Overviews, ChatGPT and Perplexity: visibility audit, crawler check, ranked fixes, answer-block rewrites.