zaialamm

ai-check

Check whether AI engines (ChatGPT, Claude, Gemini, Perplexity) cite a domain for a buyer question the user supplies, who they cite instead, and which of the domain's pages AI already cites. Never invents the prompt.

ai-crawler-access

Make robots.txt deliberate about AI crawlers: decide per bot whether it feeds answers or training, allow or block it explicitly, and keep the sitemap wired. Free; spends nothing.

citability-audit

Audit a page for citability — AI-crawler access, llms.txt, answer-shaped headings, structured data, classic on-page SEO — then apply the ordered fix list in the codebase and re-audit. $0.01 per audit.

competitive-landscape

Map a market's search landscape across 2–5 competing domains: organic footprint, the keywords each domain wins, where their links come from, and where the openings are. About $0.07–0.17 per domain from a ranking index — no logins, no dashboards.

competitor-citations

Analyze one competitor through what AI answer engines already cite them for: the prompts they win, the pages doing the work, and their share of AI citations against your domain. About $0.65 per competitor, all from an index of real AI answers.

full-check

The whole engagement in one run: baseline the site, apply every fix the audit orders, pull the demand data, verify after deploy, and leave monitoring behind. One budget consent up front — $0.05, ~$0.27, or ~$1.15 by tier — then no per-call asks.

geo-rewrite

Restructure a page so AI answer engines can lift and cite it: answer-shaped headings, the direct answer in the first sentence, self-contained quotable paragraphs, concrete facts. Free; spends nothing. Verifying the effect costs $0.05/engine.

Data & Documents Listed

keyword-brief

Turn a seed topic into a short keyword brief with real volumes, difficulty, intent and the site's current Google position. About $0.05–0.07 per brief.

Data & Documents Listed

keyword-clustering

Turn a keyword list into page groups with real volumes: one target page per cluster, a priority order, and a cannibalization check against the site's current rankings. About $0.03 per 20 keywords plus $0.02 per rank check.

llms-txt

Write a correct /llms.txt for the site in the working directory — what the site is, its key pages, contact — and serve it at the root so AI crawlers and answer engines have a map. Free; spends nothing.

monitor

Put rankings and AI citations on a standing weekly watch: each run checks the keyword list and the buyer questions, diffs against last run, keeps history in the repo, and stops at a hard per-run budget. Setup spends nothing; a typical run costs $0.60–2.10.

rank-tracking

Track a site's Google positions for a keyword list over time without an account: the agent keeps the history in the repo, re-checks on a schedule, and reports what moved. $0.012 per keyword per check; the monthly trend of the whole domain is one $0.03 call.

Data & Documents Listed

schema-markup

Add JSON-LD structured data that matches a page's actual type and visible content — Article, Product, FAQPage, Organization, SoftwareApplication — so search and AI engines can parse what the page is. Free; spends nothing.

start

Start here, free: set up the wallet once, then get routed. A problem ('AI never mentions us') goes through three questions to the one workflow that fits, with its cost; data in hand (a topic, a keyword list, a domain, a URL) maps straight to the right tool. Spend rules and how to read results included — read before the first paid call.