SSiddiq.in
Generative content

Content that doesn't read like AI.

Blog, product, landing, ad — generated at scale, in your voice, grounded in your facts, with human review baked in. Not a ChatGPT wrapper.

Brief → Draft
Write a 800-word post on "n8n vs Zapier for Indian D2C brands". Voice: founder-led, no fluff. Keyword: n8n vs zapier india.
Draft ready in 42s · SEO score 91 · Reading grade 8 · 4 internal links · 1 image generated
Human review →Approve & publish

Content formats we generate.

Long-form editorial

SEO blog posts, guides, comparisons, glossary.

Product copy

PDPs, category pages, feature descriptions.

Image generation

Ad creatives, banners, thumbnails in brand style.

Video scripts + assets

Reels/shorts scripts, storyboards, voice tracks.

How it stays on-brand.

Content engines fail one of two ways — off-brand voice or wrong facts. We solve both structurally.

  • Voice + tone training on your samples
  • Brand + fact RAG grounding
  • Keyword & internal-link maps
  • SEO + readability scoring
  • Human review workflow
  • Publish to your CMS
  • Analytics feedback loop

Content AI FAQs.

Not if we build it right. We fine-tune tone with your top 20 examples, use RAG to inject brand facts, and add editorial guardrails.

The brief that makes AI content usable

Generic prompts produce generic content. This is the minimum brief structure we require before any generation runs.

  • Primary intent + secondary intents

    Informational, comparative, transactional — plus the 2-3 sub-questions the reader actually has. Drives outline.

  • Target reader with a name

    "Priya, 32, marketing lead at a 40-person SaaS" outperforms "marketing professionals" every time.

  • Voice sample

    Three paragraphs of existing brand copy. The model mimics rhythm and vocabulary; without this it defaults to LinkedIn-influencer voice.

  • Sources allowed / disallowed

    Whitelisted URLs (your docs, cited studies) and banned sources (competitor blogs, generic listicles). Prevents plagiarism-adjacent output.

  • Anti-examples

    Two pieces you don't want to sound like. More effective than positive examples at eliminating clichés.

  • Success metric

    Not "engagement" — a specific downstream action: demo booked, doc scrolled 80%, reply rate.

Quality gates before anything ships

Every piece runs through this checklist. Fail one gate and it goes back for a rewrite — no exceptions.

  • Fact-check pass

    Every claim, stat and quote traced to a linkable source. If we can't cite it, we cut it.

  • Voice drift check

    Compared against the voice sample using a rubric (sentence rhythm, hedge words, jargon density).

  • Originality scan

    Copyscape + AI-detector run; anything above thresholds is rewritten by a human editor.

  • Reader test

    One person from the target segment reads and marks the paragraph where they got bored. That paragraph gets rewritten.

  • SEO alignment

    Title, H2s, entities cover the intent set; internal links to 3+ related pieces added by hand.

  • Legal/brand risk sweep

    Regulated claims (medical, financial, guarantees) removed or qualified per policy doc.

Publish more, sound like you.

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