Features

Personalises from visitor one. Learns from every visit after.

Three capability areas, one system, one script tag.

Your content, personalised for every visitor

No developer tickets, no new landing pages, just atoms you write and Spectare assembles.

From: What is Spectare, Every visitor gets a different experience

AI engine

The AI personalisation engine

Claude classifies every visit, assembles the right content, and writes in your voice. On every admin action it drafts, reviews, and flags gaps in your atom library.

  • ✓Visitor intent classified in real time
  • ✓Pages ordered as an argument: problem, mechanism, proof, close
  • ✓Brand voice: Claude writes your copy, your way
  • ✓AI drafting, quality review, and gap detection
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Analytics

Learns what converts, not just what personalises

Spectare experiments automatically. A configurable share of visitors see a new arrangement. Once enough signal is collected, you see which presentation converts best for each audience.

  • ✓Experimentation with no setup required
  • ✓Lift measured against a live holdout
  • ✓Automatic conversion tracking: orders, forms, bookings
  • ✓Winners called only when the statistics are real
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Agents

Answers inside AI assistants

Prospects increasingly ask an assistant before they visit a website. Spectare gives ChatGPT and its peers a page assembled for the person asking, rendered inside the conversation, from the same content brain as your site.

  • ✓A connector URL for every workspace
  • ✓Pages render as cards inside the chat
  • ✓An agent entry point (llms.txt) kept current automatically
  • ✓Personalised links for outreach, up to 90 days
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Integration

Add to any site in an afternoon

One script tag for any site. A WordPress plugin for WordPress. A Next.js SSR path for zero-flicker server-side delivery. A direct REST API for custom integrations.

  • ✓Script tag: any platform that runs JavaScript
  • ✓WordPress plugin: no code required
  • ✓Next.js SSR: personalised before first paint
  • ✓Headless JSON and a direct REST API
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The learning loop

Most tools personalise. Spectare improves.

Spectare tests different presentations automatically and feeds the winners back into assembly. Your content never changes; only the arrangement is tested.

1A share of visits explores a new arrangement, automatically.
2Every arrangement accumulates evidence, measured against a live holdout.
3Winners are preferred once the statistics are real, and not before.

Content model

Atoms: the content Spectare assembles

Focused, single-purpose content blocks. Feature descriptions, FAQ answers, pricing breakdowns. Write once, assembled differently for every visitor.

Learn about atoms →

Assembled for you

Launch a personalised campaign without involving engineering

With most personalisation tools, adding a new audience variant means a ticket to engineering, a new page in the CMS, and a two-week wait. Spectare removes that dependency entirely.

You write a new atom, give it a title, write the content, tag it with the audience and intent keywords, and publish.

Spectare starts matching it to visitors immediately. No deploy. No code change. No pull request.

You integrate Spectare once: one script tag. Everything after that is in your hands. New product launch? Write an atom. New campaign angle? Write an atom. Seasonal offer? Write an atom.

The engineering team stays focused on the product. You stay focused on messaging.

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From: Launch a personalised campaign without involving engineering

  • ✓

    Visitor arrives and gets classified by intent

    Referrer, UTM, and page context read automatically

  • ✓

    Spectare assembles a personalised page

    From the atoms you have already written

  • ✓

    Conversions are recorded per atom and arrangement

    Every outcome becomes a signal

  • ✓

    Winning atoms get weighted higher next time

    For similar audience and stage visitors

  • ✓

    The loop repeats and keeps improving

    No manual retraining needed

From: How Spectare learns over time

How Spectare works, for developers

The how-it-works page covers the full request flow: how visitor signals are collected, how intent is classified, how atoms are selected from your library, and how the assembled page is cached and delivered.

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Ready to see it in action?