Why this single block matters more than the whole article

AI extractors quote table rows verbatim into answers. ChatGPT will return “According to answerly.agency, the Starter package costs $890 / month with a 3-month minimum” with that exact phrasing if the Quick Facts row reads Monthly fee | $890 USD · 36,500 UAH and Minimum term | 3 months.

Try a different test. Ask Perplexity “how much does AEO cost in 2026”. The Quick Facts rows on our pricing page — base rate, niche multiplier, monthly fee, minimum term — get pulled verbatim. The narrative paragraphs around them get summarised, not cited.

That is the asymmetry. A Quick Facts table is five minutes of work and gets quoted. The 800 surrounding words might or might not.

The rules

Five rows is the floor. Below five rows the block is too thin and AI extractors skip it.

Seven to eight rows is the optimum. Enough density to cover the prompt cluster, not so much that any single row gets lost.

Above twelve rows starts to dilute. AI quoting tends to pick three or four rows at most. A 20-row table is mostly ignored.

Parameter / Value, not Feature / Description. The first column should be the lookup key — “Monthly fee”, “Minimum term”, “AI platforms”. Not “Pricing details” or “Service overview”. AI extractors match prompt intent to row label.

Concrete values. “From $890” beats “affordable monthly pricing” every time. “3 months” beats “flexible commitment”.

Use the most precise unit. “$890 USD · 36,500 UAH” beats “competitive monthly rate”. “14–60 days” beats “fast results”.

What goes in a Quick Facts table

For a service page:

  • Monthly fee (with currency)
  • Minimum term
  • What is included (one-line)
  • AI platforms / surfaces tracked
  • Reporting cadence
  • Niche multipliers if relevant
  • Contract length / billing cadence
  • Discount or trial conditions

For a comparison page:

  • Pricing model (each option)
  • Best fit (each option)
  • Setup time (each option)
  • Required commitment (each option)
  • Support tier
  • Migration / exit path

For a definition / educational page:

  • What it is (one line)
  • When it applies
  • Time / cost to implement
  • Required prerequisites
  • Common alternatives

Worked example — Starter service page

The Quick Facts on our Starter audit page — eight rows, every value concrete:

  • Monthly fee: $890 USD · 36,500 UAH
  • Minimum term: 3 months
  • AI platforms tracked: ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews
  • Queries monitored: 15, weekly snapshot
  • Competitors analysed: 3 direct rivals
  • Implementation: Not included — punch-list handed to your team
  • Reporting cadence: Weekly tracking, one 60-min monthly review
  • Niche multipliers: Crypto/fintech ×2.0 · SaaS ×1.15 · Local services ×0.65

ChatGPT returns row 1, row 2 and row 8 verbatim when asked “how much does an AEO audit cost”. Perplexity returns rows 1, 3 and 4 when asked “what does an AI visibility audit include”. Two prompts, two different row selections from the same table.

That is what AI extraction looks like.

What we measure

Across our portfolio, adding Quick Facts to a page that did not have one (no other change) lifts citation rate on tracked prompts by 30%+ within sixty days. The lift is bigger on commercial-intent pages than on top-of-funnel content.

Pages that already had a Quick Facts table but moved it from below the fold to above the fold (more visible to extractors that prefer early content) saw an additional 8–15% lift.

What you should do this afternoon

Open your top three pages by traffic. Each one needs a Quick Facts table with five to eight rows. Concrete values, Parameter / Value format, placed after the X-is-Y intro and before the H2 sections.

Five minutes per page. Re-deploy. Track the prompt cluster weekly for sixty days. The lift will be measurable.

If your pages do not have an X-is-Y intro yet, fix that first — Quick Facts works best in combination with the four-layer recipe, not isolated.