Generative Engine Optimization Tool

Generative Engine Optimization Tool: Win Your Market in AI Search & Drive Inbound Leads

Turn ChatGPT, Perplexity, Gemini, and Copilot into your highest-converting sales pipeline.

Modern buyers ask AI tools for direct recommendations. If AI models aren’t citing your brand, you are losing high-intent deals to competitors. Showing where you stand is the job of a generative engine optimization tool; we then work to make your business the one they recommend.

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    Explained

    What is a generative engine optimization tool?

    A generative engine optimization tool is a measurement instrument. It sends a defined set of questions to generative AI engines, captures the answers those engines return, and extracts two things from each answer: which brands were named, and which sources the answer drew on. Aggregated across hundreds of answers, those two extractions become a visibility rate and a source map.

    Everything else such a tool does — scoring, competitor comparison, fix planning — is derived from that raw capture. Understanding the capture is therefore the fastest way to judge whether any given tool's numbers deserve your trust.

    Related: Generative engine optimization, explainedGEO audit toolAI search monitoring

    The process

    How it works, in four steps

    1. Understand your business

      We read your website and map your services, your customers, what they care about, and what makes them start looking.

      Free snapshot

      Example Accounting Group / Before the prompts runSample · fictional firm, made-up results
      1. Brand overviewBusiness type, offerings, known competitors and the buying stages to analyze.From your website
      2. PersonasThe buyer personas we identified. Edit, remove or add your own.6 personas
      3. PrioritiesThe business priorities, based on your offerings.8 priorities
      4. TriggersThe real-life moments that cause customers to search AI.15 triggers
      5. PromptsSample prompts to review before the full set runs.30 samples

    2. Test customer questions

      We identify your competitors and ask AI tools the questions your customers ask, in the markets you serve.

      Free snapshot

      Example Accounting Group / Brand OverviewSample · fictional firm, made-up results

      Known Competitors

      • Firm Afirm-a.example
      • Firm Bfirm-b.example
      • Firm Cfirm-c.example
      • Firm Dfirm-d.example

      We’ll also surface other competitors taking AI search visibility in your category during the analysis.

    3. Show findings and priorities

      You see where you appear, where you’re missing, and who is named instead, with a short list of what to fix first.

      Free snapshot: first fixes · Full plan with ongoing service

      Sample BlueJar Visibility Matrix for the fictional Example Accounting Group: seven question zones down the side, six customer types across the top, each cell marked Owned, Partial or Lost, with a score for each
      Sample with a fictional firm and made-up results. The layout is the app’s Visibility Matrix. Enlarge

    4. Make approved improvements and measure progress

      With your approval, we make the fixes on your site and listings, then re-run the same questions each month.

      Ongoing service

      Example Accounting Group / Fix PlanSample · fictional firm, made-up results

      6 Fixes to Improve AI Visibility (first 4 shown)

      1. Correct the service listTwo profiles list tax preparation only. Match the website: tax, bookkeeping and payroll.P1
      2. Complete directory profilesFill in services, credentials and service area on the profiles the firm already has.P1
      3. Answer local customer questionsA small-business bookkeeping page for Springfield and nearby towns.P2
      4. Structured data on key pagesMarkup that tells AI tools what the firm does and who it serves.P2

      Roadmap

      1. FirstP1 fixes, after your approval
      2. NextP2 fixes, after your approval
      3. ThenSame prompts re-run each month

    What you receive

    Your snapshot, in three parts

    Where you appear

    The questions where AI tools name your business, and where they don’t.

    Who is named instead

    The competitors and sources AI points your customers to.

    What to fix first

    A short, prioritized list of fixes to start with.

    Sample BlueJar AI Visibility Snapshot for a fictional accounting firm, Example Accounting Group: an overall visibility score, how often the firm is mentioned and linked across ChatGPT, Gemini, Perplexity and Copilot, visibility by question type and customer type, the firms named instead, the sources AI cited, and three things to fix first
    Sample with a fictional firm and made-up results. Yours uses your business, your market and the real answers AI tools give. View full size

    FAQ

    Questions

    Why do I get different results if I ask the same question twice?

    Generative models sample from a distribution rather than looking up a fixed answer, so identical prompts legitimately produce different wording and sometimes different brand recommendations. This is a property of the engines, not a fault in the tool. It is also the reason visibility has to be reported as a rate over many samples rather than as a yes or no, and why small prompt sets produce unstable numbers.

    How is an AI visibility score calculated?

    At its core it is the proportion of sampled answers in which your brand is named, broken down by prompt and by engine. Beyond that, implementations differ in ways worth asking about: whether a mention is weighted by prominence in the answer, whether negative or cautionary mentions are separated from recommendations, and whether prompts are weighted by commercial value. Two tools can report different scores for the same brand entirely because of these choices.

    How does the tool know a mention refers to my brand?

    Matching is contextual rather than literal. Brand names collide with ordinary words, appear misspelled, and get referenced without being spelled out, so the answer text has to be interpreted rather than scanned. The mention is also classified by how the brand was presented, because being cited as a poor fit and being recommended should not contribute to a visibility score in the same direction.

    Can you guarantee more leads or AI recommendations?

    We improve your website and business information, then test and refine monthly to strengthen AI visibility and create more opportunities for inbound leads. Results aren’t guaranteed, but each step is guided by measured progress.

    First-mover advantage

    AI answers name only a few businesses. Be one of them first.

    AI search optimization is still new, and it rewards the businesses that move early: winning a recommendation now is easier than displacing a competitor later. See where you stand in your market before your competitors look.

    No one can guarantee AI recommendations or leads. We show where you stand, fix what is in your control, and measure the change.

    Claim your free snapshot





      After you submit, reply to our confirmation email. We'll send your snapshot within 2 business days of your reply.