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Cited
The Cited Method

Four stages. Each ends in something you can check.

The Cited Method is how we get B2B software recommended by ChatGPT, Gemini, Claude and Perplexity: measure what AI recommends in your category, make your site readable, earn the sources AI trusts, and track the result every month.

Stage 1

Baseline

Measure what AI recommends in your category today.

Moves
Shortlist Rate and Readiness Score (starting point)
Typical timeline
About 2 weeks

We map the prompts buyers use to choose software in your category: best-of questions, alternatives, comparisons and use cases. We run each one across ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews, three times per engine, and audit your website.

What you receive

  • Your Shortlist Rate and Readiness Score
  • Who AI recommends instead of you, prompt by prompt
  • The sources AI relies on in your category
  • A prioritized 90-day plan

What we don’t do: No guesswork from a single answer: every prompt is run repeatedly, because AI answers vary.

Stage 2

Readable

Fix what stops AI reading and trusting your site.

Moves
Readiness Score
Typical timeline
4–6 weeks

We fix crawler access and rendering, add structured data, set up your entity data on Wikidata, G2, Capterra and Crunchbase, and restructure product, pricing and comparison pages so AI can quote them accurately.

What you receive

  • Technical fixes and structured data across key pages
  • Consistent entity data across core profiles
  • Pages written to be quoted
  • Readiness Score before and after

What we don’t do: No hidden text or instructions aimed at AI crawlers. Everything we publish is written for people.

Stage 3

Referenced

Earn the sources AI already trusts.

Moves
Source coverage and Shortlist Rate
Typical timeline
Ongoing, monthly

AI repeats what trusted third parties say. We earn your place in them: review platforms, comparison and best-of lists, genuine Reddit and community discussion, and trade and tier-1 press.

What you receive

  • Comparison and alternatives content you approve
  • Review platform presence
  • Community and Reddit presence, disclosed as your brand
  • Press placements

What we don’t do: No fake reviews, fake accounts or undisclosed promotion. Ever.

Two numbers, reported separately

Readiness is what you control and can change in weeks. The Shortlist Rate is the outcome buyers see, and it takes longer. We never present one as the other.

Readiness Score

A 0–100 score for how ready a website is for AI engines to read, trust and quote: crawler access, technical setup, structured data, citability and entity signals.

0–39 Not ready · 40–69 Partly ready · 70–100 AI-ready

Shortlist Rate

The share of tracked software-buying prompts, such as “best [category] software for [use case]”, where an AI engine names your company, measured across engines and repeated runs.

0–39% Rarely cited · 40–69% Sometimes cited · 70–100% Consistently cited

How we measure the Shortlist Rate: each tracked prompt runs three times on each engine (ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews), every month, from a clean session. We report per engine, with the sources behind each answer.

Principles

  • No one can guarantee an AI answer. We raise how often you are recommended and report it monthly.
  • No fake reviews, fake accounts or undisclosed promotion. Ever.
  • No hidden text or instructions aimed at AI crawlers. Everything we publish is written for people.
  • No guaranteed press. We guarantee the work and bill tier-1 placements only when they are live.
  • Every number we publish has a source and a date.

See the method in practice in our results and pricing.

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