Can AI replace Rankwise?
The measurement half is a weekend project. Fire a fixed question set at the ChatGPT, Claude, Gemini and Perplexity APIs on a schedule, count whether your domain gets named, store every run, and you have the dashboard. What takes Rankwise past that is the acting half: ranking topics by demand and citation gap, drafting sourced articles, and publishing them into WordPress, Shopify, Webflow or Wix without breaking anything. You can hand-write that loop for one site and one CMS. Doing it across four engines and four CMSes, every week, while the APIs move under you, is the part that stays a product.
01What it costs
Checked Aug 10, 2026 · source: tryrankwise.com. After the trial the account drops to a free plan that keeps monitoring 1 domain and 10 tracked questions against Perplexity, re-checked weekly, with the score history intact. Writing and publishing articles need a paid plan.
02Could AI build it for you?
The core job: Send a fixed question set through the four answer engine APIs on a schedule, record whether your domain is cited, and diff the score week over week.
What a working version needs:
- OpenAI, Anthropic, Gemini and Perplexity API keys with web search or grounding enabled
- a scheduler for the weekly run
- durable per-run storage so history survives
- an API budget that scales with questions x engines x weeks
- CMS credentials if you want the publishing half too
The scoreboard is a weekend. The content pipeline behind it is not.
03What you'd give up
- the CMS publishing matrix, and the upkeep as WordPress, Shopify, Webflow and Wix each change their APIs
- the editorial layer: topics ranked by demand, citation gap and winnability, then drafted and reviewed rather than dumped
- exact technical diffs (JSON-LD, canonicals, robots rules, llms.txt) instead of generic advice you still have to translate
- months of score history, without which a single week's citation rate tells you nothing
- per-engine weekly scoring across seven on-page dimensions, which costs real API spend every run
Because measuring the gap is the easy half and closing it is the work. A personal script tells you Perplexity never mentions you. It does not decide which of forty questions is winnable, write a sourced article, get it live in your CMS, and then prove which citation that article won. The accumulated score history matters too: the number is meaningless in week one and load-bearing in month six, and starting over resets you to zero.
04Free and cheaper alternatives
Tracks the citations honestly. Writing the article and pushing it to your CMS is still your evening.
elmohq.com →05The build prompt
Paste this into an AI coding tool (such as Claude, ChatGPT, Lovable or Replit) to build your own version.
Build me a local AI answer engine citation tracker for one website. Requirements: - Node 22, TypeScript, SQLite via better-sqlite3, a CLI plus a server-rendered dashboard on localhost. No accounts, no telemetry, everything stays on my machine except the API calls. - site.json holds my domain, brand aliases and competitor domains. questions.json holds up to 40 buyer questions I want to be the answer to. - `rank run` sends every question through OpenAI, Anthropic, Gemini and Perplexity with each provider's web search or grounding tool on. Keys live in .env. - Write one immutable row per run, question and provider: raw answer, cited URLs, model id and any error. Never overwrite a previous run, history is the whole point. - Cap concurrency at 3 per provider, retry twice on 429 and 5xx with backoff, and show failed cells in the report rather than dropping them silently. - Normalize every citation to hostname plus canonical path, strip tracking params, then compute my citation share and a top 25 cited domains table per engine. - `rank serve` renders citation rate per engine over time, the questions where a competitor is cited and I am not, and a week-over-week diff. - `rank audit <url>` fetches one page and reports the mechanical gaps only: missing or invalid JSON-LD, missing canonical, robots and llms.txt rules blocking AI crawlers, and thin heading structure. Print the JSON-LD block it would add. - `rank export` writes runs and citations to CSV. - Out of scope: writing articles, publishing to a CMS, and scraping the consumer chat UIs. Use the APIs only. - README: setup, per-run cost estimate, a cron line for the weekly run, and a plain note that API answers only approximate what users are actually shown.
06Open-source starting points
- Elmo: MIT-licensed self-hosted AEO tracker: runs your prompts across the answer engines and records mentions, competitors and cited sources
App prices, verdicts, alternatives and build prompts are adapted from Can I Vibecode It? (MIT License, © 2026 Rob Hallam). Each price shows the date it was checked and its source. Prices change; confirm on the vendor's site before you decide.
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