Rebuild a Buried-Answer Intro Into AI-Citable Copy
Objective: Given a 300-word blog introduction that buries its answer in paragraph 4, rewrite it using the lesson's 5 principles so the answer, the data, and the definition all appear in the first 100 words.
You're a content strategist at Freshworks. Your 'What is a Service Level Agreement (SLA)?' blog post ranks on Google but never appears in ChatGPT Search or AI Overviews for the same query.
Rewrite the intro so the direct answer, one specific stat with a source and year, and a precise inline definition all land in the first 100 words.
Before you start
What you'll need
Free path (everything below is enough to finish)
Free, simple side-by-side before/after editing
The process
3 steps
Step 01 of 03
The lesson's core principle: lead with the answer, not the setup. An AI model scanning dozens of sources pulls the source that answers immediately with specificity.
The current intro spends 3 sentences on 'many businesses struggle with SLAs' before defining the term in sentence 4. Where does the actual definition need to move?
Procedure
- Highlight the sentence that actually defines the term
- Count how many words come before it
- Cut every sentence before the definition that doesn't add new information
- Move the definition to the first sentence
BEFORE (buried at word 61): "...But what exactly is a service level agreement, and why does it matter? An SLA is a contract that defines..." AFTER (word 1): "A service level agreement (SLA) is a contract that defines the minimum level of service a vendor guarantees, including response time and uptime commitments."
Healthy
The definition now sits in the first sentence, with zero throat-clearing before it.
Unhealthy
The rewrite keeps a scene-setting opening sentence ('In today's competitive business landscape...') before the definition.
What this means
Every word before the answer is a word an AI model has to scan past; some skip the source entirely once a scan limit is hit.
So what do I do about it?
| Symptom | Action | Effort |
|---|---|---|
| A page ranks on Google but never appears in ChatGPT Search citations | Move the direct definition or answer to the literal first sentence | 5 min |
Step 02 of 03
Vague claims don't get cited; specific data does. Include the year, the organization, and the metric so AI models can weigh source credibility.
The draft currently says 'SLA breaches are common and costly.' What has to be added for this to survive Principle 2?
Procedure
- Search for one specific, dated statistic about SLA breach costs or frequency
- Add the organization name and year directly into the sentence
- Add the exact metric, not a rounded generality
BEFORE: "SLA breaches are common and costly." AFTER: "According to a 2025 Uptrends survey, 62% of IT teams reported at least one vendor SLA breach in the past 12 months, with an average resolution delay of 4.5 hours beyond the guaranteed window."
Healthy
The sentence names a source, a year, and an exact number, giving an AI model a citable, attributable fact.
Unhealthy
The rewrite adds a number with no source ('62% of teams report breaches'), which reads as unverifiable and is less likely to be extracted.
What this means
A number without a named source and year is barely more citable than no number at all.
So what do I do about it?
| Symptom | Action | Effort |
|---|---|---|
| A stat exists in the draft but AI tools still don't cite the page | Check whether the stat names its source and year in the same sentence | 5 min |
Step 03 of 03
Every niche term should be defined inline immediately after first use; AI models extract definitions to populate answer summaries, so a vague definition never gets extracted.
The rewritten intro uses the term 'uptime commitment' without defining it. Does this term need its own inline definition, and if so, where?
Procedure
- List every specialized term in the first 150 words
- Check each one against the SLA definition already written
- Add a one-sentence inline definition for any term not yet covered
ADDED: "An uptime commitment, the percentage of time a service must remain operational, is typically the single most negotiated line item in an SLA (e.g. 99.9% uptime allows roughly 8.7 hours of downtime per year)."
Healthy
Every specialized term used before this point in the article now has an inline, one-sentence definition next to it.
Unhealthy
The term 'uptime commitment' is used three times in the article before ever being defined, forcing a reader (or an AI model) to infer its meaning.
What this means
A precise, inline definition is exactly what an AI model extracts to answer 'what does uptime commitment mean' as a follow-up query.
So what do I do about it?
| Symptom | Action | Effort |
|---|---|---|
| A related term keeps appearing undefined across multiple posts | Add a one-sentence inline definition the first time the term appears in each post | 5 min |
Final deliverable
A rewritten 100-150 word intro with the answer in sentence 1, one sourced and dated statistic, and every specialized term defined inline at first use.
See a reference example
Wise, "What is an FX conversion spread?" intro rewrite (excerpt) An FX conversion spread is the difference between the real mid-market exchange rate and the rate a bank or provider actually charges you. According to a 2025 Wise research report, average bank FX spreads run 3-5%, compared to under 0.5% for providers using the real mid-market rate. A hidden spread, a markup built into the exchange rate rather than shown as a separate fee, is the main reason two providers can advertise "no transfer fees" yet cost very differently.
Success criteria
You're done when you can:
- The direct answer/definition appears in the first sentence, with no scene-setting before it
- At least one statistic includes a named source and a year in the same sentence
- Every specialized term used is defined inline at first mention