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Visibility Opportunities

Find where your brand can appear in AI answers across customer intents.

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Enter customer context to improve measurement accuracy.

Entry-point guide by customer intent

To appear when customers discover, compare, or decide about your brand, here is the content structure recommended for each intent.

▶Build entry points for problem-solving intent

Q&A content that directly answers user questions, so AI quotes our domain

  1. Use the entry-point (user question) directly as the H1 heading
  2. First paragraph = 1–2 sentence direct answer (AEO answer-first principle)
  3. Body = stepwise H2 + bullets + code/screenshots
  4. Required: Schema.org FAQPage JSON-LD (Q&A shape match)
  5. Accumulate answers on external Q&A sites (Reddit / Quora / Stack Overflow)
  6. Re-measure 1–3 months after publishing to verify effect

⚠ Paid promotion or keyword stuffing is ignored by LLMs. Only real answers work.

▶Build entry points for comparison intent

Comparison content vs competitors so AI lists our product as a candidate

  1. Use the entry-point (user comparison question) as the H1 heading
  2. First paragraph = vs-competitor comparison table (one-line objective diff)
  3. Body = scenario branches (small / enterprise / price-first etc.)
  4. Add Schema.org Article or FAQPage JSON-LD
  5. Pitch external comparison pieces (G2 / Capterra / review sites)
  6. Re-measure 1–3 months after publishing to verify effect

⚠ Self-promoting comparisons are not learned by LLMs. Objective balance required.

▶Build entry points for category discovery intent

Intro guide content that newcomers to a category can use as a first answer

  1. Use the entry-point (category intro question) as the H1 heading
  2. Structure = H1 + 3–5 H2 + 3–5 bullets each
  3. Length 1,500–3,000 chars (typical AI-cited length)
  4. Add Schema.org Article or HowTo JSON-LD
  5. Publish on your domain + Link from category hub
  6. Re-measure 1–3 months after publishing to verify effect

▶Build entry points for pre-purchase intent

Price/review/testimonial info so AI recommends our product right before purchase

  1. Make pricing page clear (plan tiers + feature comparison)
  2. Accumulate user reviews and case studies
  3. Get listed on external review sites (G2 / Trustpilot / Capterra)
  4. Add Schema.org Product / Review / AggregateRating JSON-LD
  5. State refund policy and support info (decision-stage signals)
  6. Re-measure 1–3 months after publishing to verify effect

⚠ Fake or bought reviews are not learned by LLMs. Real users only.