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Full-stack AI search optimization for DevOps and B2B SaaS — get recommended across every major AI engine, measured by share-of-model.

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What is Clear Cited?

Clear Cited is a full-stack AI search optimization (AEO/GEO) service for DevOps, developer tools, and B2B SaaS companies. It helps brands get recommended and cited inside AI answers from ChatGPT, Perplexity, Claude, Gemini, Microsoft Copilot, and Grok. The service combines SEO foundation, answer-first content, off-site authority, and rigorous measurement to improve share-of-model — the percentage of AI answers that name a given product. Clear Cited targets seed to Series A SaaS companies with a productized, done-for-you approach that includes a free teardown, paid audits, and monthly retainers starting at $1,500.

Key Features
  • Share-of-model measurement: Each buyer prompt runs 10+ times per engine. Results are reported as a median with a 95% confidence interval, not a single screenshot. This reproducible data covers ChatGPT, Perplexity, Claude, Gemini, and Grok, with Google AI surfaces measured separately.
  • SEO foundation: Technical SEO, Core Web Vitals, SERP/keyword coverage, backlinks, and domain authority are addressed as the ground AEO stands on. The service includes schema/structured data and internal linking.
  • Done-for-you content: Answer-first blog articles, comparison and benchmark pages, and schema-marked content (Article + FAQ) are written and published on the client's domain. Content is tuned to what performs in the client's niche, researched across YouTube, Reddit, Dev.to, Hashnode, Medium, Stack Exchange, and search.
  • Off-site authority: Directory listings (G2, Capterra, Crunchbase, Product Hunt, SaaSHub, and dozens more) are managed. Digital PR includes expert commentary placement, reporter-query responses, and data-led story pitches. Social content is published across 30+ channels including LinkedIn, X, Reddit, YouTube, Dev.to, Hashnode, and more.
  • AI-answer optimization: Answer-first content and entity/schema work are applied per engine. Engine-by-engine fixes are made based on measurement data. The service covers all four tiers AI cites from: owned, earned, paid, and organic.
  • Pricing tiers: Free teardown (5-8 prompts, 3 engines, top-3 competitor gap). Paid audits start at $500 (Starter), $2,000 (Full AEO + SEO), and $3,500 (Comprehensive). Monthly retainers: Growth ($1,500/mo), Scale ($3,500/mo), Authority ($6,500/mo). Add-ons from $400.
How It Works

The engagement follows four steps. First, a free teardown or fit-finder (60 seconds, no signup) identifies the gap. Second, a paid audit (Starter, Full, or Comprehensive) establishes a measured baseline and a 30/60/90 roadmap. Third, a done-for-you retainer (Growth, Scale, or Authority) executes the work: content creation, off-site authority building, and monthly re-measurement. Fourth, add-ons (technical SEO, video, digital PR, directory listings) can be stacked as needed. Every asset is researched and drafted fast, then reviewed and approved by the client before publishing. The entire process runs async over email and shared docs, with no standing calls.

Use Cases
  • A DevOps startup launching a CI/CD platform: The company needs to appear in AI answers when buyers ask "best CI/CD tool for Kubernetes." Clear Cited measures current share-of-model, identifies gaps in third-party citations (G2, Reddit, comparison pages), and produces answer-first content and off-site authority to improve visibility across all five engines.
  • A B2B SaaS company in product analytics: The marketing team wants to be recommended by ChatGPT and Perplexity for "product analytics for B2B SaaS." Clear Cited runs 10+ prompts per engine, reports share-of-model with confidence intervals, and executes a content and authority plan tuned to the niche, including schema-marked comparison pages and directory listings.
  • A US-based developer tools company expanding to enterprise: The company needs to be cited in AI answers used by enterprise buyers. Clear Cited handles W-8BEN paperwork, bills in USD, and runs the engagement async. The service includes digital PR and expert commentary to earn citations in authoritative sources that AI engines trust.
Frequently Asked Questions

What is Answer Engine Optimization (AEO)? AEO (also called AI SEO or GEO) is the practice of getting a brand recommended and cited inside AI answers from ChatGPT, Perplexity, Claude, Gemini, Microsoft Copilot, and Grok. It focuses on entity clarity, structured data, and third-party citations.

How is AEO different from SEO? SEO optimizes for ranked links on a search results page. AEO optimizes to be the cited source inside a synthesized AI answer, which leans on entity clarity, structured data, and third-party citations (about 95% of AI citations are third-party).

Does Clear Cited just measure, or does it do the work? Clear Cited does the work end-to-end: measurement, SEO foundation, content creation, off-site authority, and monthly re-measurement. Every asset is AI-accelerated and client-approved before publishing.

How does Clear Cited measure reliably when AI answers change? Each buyer prompt runs 10+ times per engine. Results are reported as a median with a 95% confidence interval, re-measured on a cadence. This reproducibility is the product.

Does Clear Cited guarantee citations? No honest provider can guarantee citations because AI engines change constantly. Clear Cited guarantees rigorous measurement and evidence-based work, and ties retainers to a measurable share-of-model target.

Pros & Cons

Pros

  • Reproducible share-of-model measurement with 95% confidence intervals across five AI engines.
  • Full-stack service covering SEO foundation, content, and off-site authority, not just a dashboard.
  • Productized pricing with a free teardown and retainers starting at $1,500 per month.
  • Async, frictionless engagement for US companies with W-8BEN and USD billing.
  • Data-driven content tuned to what performs in the client's niche across multiple platforms.

Cons

  • No guarantee of specific citations or rankings due to the dynamic nature of AI engines.
  • Primarily targets seed to Series A SaaS companies, which may not suit larger enterprises.
  • Requires client approval on every asset, which could slow down execution for some teams.

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