Rewrite the program FAQ and eligibility page so that AI search tools (ChatGPT, Gemini, Perplexity, AI Overviews) accurately repeat your program's answers when prospective applicants ask about eligibility, deadlines, and awards.

Communications lead + program coordinator + web admin. Organized around the prospective applicant experience.

AI restructures and rewrites existing approved content into GEO-optimized formats. It does not create new eligibility rules or policy language. All published content is verified against official program documents before going live.

🔍
What is GEO? Generative Engine Optimization is the practice of structuring public-facing content so that AI search tools (ChatGPT search, Gemini, Perplexity, Google AI Overviews) read it accurately and repeat it correctly when users ask questions. The same principles that help AI tools also help human readers: direct answers first, clear headings, scannable structure, verified facts.
⚠
Non-negotiable accuracy rule: AI tools will repeat whatever your public pages say. If your FAQ has outdated deadlines, incorrect eligibility criteria, or ambiguous language, AI will amplify those errors to thousands of prospective applicants. Every page that goes live in this cycle must be verified against current official program documents before publication.
Program Policy Statement
FAQ & Eligibility Page Optimization — We Will / We Will Not
✓ We Will
  • Use AI to restructure and rewrite existing approved content into clear, GEO-optimized formats.
  • Verify every published fact (deadline, award amount, eligibility criterion) against the official program document before the page goes live.
  • Use a "position zero" summary at the top of each FAQ answer so AI tools can extract a direct, accurate response.
  • Structure eligibility criteria as a scannable list with clear Yes/No/Contact-us guidance for each requirement.
  • Update all optimized pages whenever program criteria, deadlines, or awards change.
  • Monitor whether AI tools are repeating accurate information after publication; correct the source page if they are not.
✕ We Will Not
  • Allow AI to generate new eligibility criteria, deadlines, or award amounts. All substantive facts come from official program documents.
  • Publish any AI-rewritten page without staff verification against the source document.
  • Use vague or hedged language on public-facing eligibility pages (e.g., "roughly," "approximately," "students who are kind of eligible").
  • Create separate optimized pages for AI tools and humans. One accurate, well-structured page serves both.
  • Leave outdated information on live pages if criteria or deadlines have changed.
GEO Principles Applied to Scholarship Pages
đŸŽ¯Lead with the answer
AI tools extract the first clear answer in a section. Put the direct answer first, then add context.
  • Start every FAQ answer with a complete sentence that stands alone.
  • Avoid preamble: "Great question! We get this a lot..." loses the answer before AI can find it.
  • Use "position zero" summaries: 1–2 sentences that answer the question completely.
📋Use headings and structure
AI tools index pages by headings. Logical headings help both AI and humans navigate.
  • Each FAQ entry needs a heading that is the actual question applicants ask.
  • Eligibility criteria belong in a numbered or bulleted list, not buried in prose.
  • Break long sections into sub-headings: Eligibility, Deadlines, Award Details, How to Apply.
✅Be specific and verifiable
AI tools repeat what they find. Vague language gets repeated vaguely; specific language gets repeated accurately.
  • Use exact figures: "$5,000 per year" not "generous financial support."
  • Use exact dates: "February 15, 2026" not "mid-February."
  • Use binary eligibility statements: "Applicants must be..." not "We prefer applicants who..."
🔄Keep it current
AI tools cache and resurface content. Outdated pages get repeated as current fact.
  • Include the cycle year in deadlines: "The 2025–26 application deadline is..."
  • Add a "Last updated" date to FAQ and eligibility pages.
  • Set a calendar reminder to review all optimized pages when criteria or deadlines change.
1
Weeks 1–2

Planning: Content Audit, Question Mining, and Page Scope

đŸŽ¯
Sprint goal: Leave Weeks 1–2 with a content accuracy audit of existing pages, a list of the 10–15 most common applicant questions (sourced from real data), and a clear scope of which two pages are rewritten in this cycle.
Task 1 — Content Accuracy Audit of Existing Pages

Before rewriting anything, check what is currently live against current official documents. Do not rely on memory. Pull the official program document and compare it to what the website actually says.

Page / SectionCurrent ContentOfficial Document SaysAccurate?Action
Application deadlinePaste from websitePaste from official doc
Award amountPaste from websitePaste from official doc
GPA requirementPaste from websitePaste from official doc
Residency requirementPaste from websitePaste from official doc
Reapplication policyPaste from websitePaste from official doc
Number of awards offeredPaste from websitePaste from official doc
Required application materialsPaste from websitePaste from official doc
⚠
Correct any inaccurate content in this table before writing a single AI prompt. If you optimize a page that contains inaccurate information, you will amplify those inaccuracies to AI search tools at scale.
Task 2 — Question Mining (Real Applicant Questions First)

Effective FAQ pages answer the questions applicants actually ask, not the questions you wish they would ask. Mine these sources before writing any new content.

  1. Pull the last 3–6 months of applicant emails and inquiry form submissions. Extract every unique question asked. Group duplicates.
  2. Check your organization's Google Search Console data (if available): what search queries are bringing people to your program pages? These are the questions AI tools are being asked.
  3. Have two staff members independently complete this prompt in a private AI tool session: "I am a high school student interested in applying for a scholarship. What would I ask an AI chatbot about this type of program?" Compare the lists.
  4. Combine all sources into a master question list. Rank by frequency (how often is this asked?) and risk (what happens if an AI tool answers this wrong?).
  5. Select the top 10–15 questions. These become the FAQ entries rewritten in Weeks 3–4.
Task 3 — Scope: Two Pages for This Cycle
Page 1: FAQ Page
  • LockCovers the 10–15 questions identified in the question mining task.
  • SetEach answer follows the position-zero structure: direct answer first, detail second.
  • NoteIncludes a "Last updated" date and links to the official application portal.
Page 2: Eligibility Page
  • LockAll eligibility criteria in a numbered list with binary Yes/No/Contact-us guidance.
  • SetExact figures only: no ranges, no approximations, no "typically."
  • NoteIncludes a brief position-zero summary paragraph at the top that answers "Am I eligible?" in 2–3 sentences.
Sprint 1 Deliverable Checklist
✅Content accuracy audit (completed)
❓Top 10–15 question list (ranked)
📄Page scope document (2 pages)
📋Official source documents on file
📝Policy statement (signed)
2
Weeks 3–4

Building: Rewrite Both Pages with GEO Structure

đŸŽ¯
Sprint goal: Produce reviewed, GEO-structured drafts of both in-scope pages, verified against official program documents, with web admin sign-off before publication.
Task 4 — Rewrite Protocol

Use the prompts in the Prompt Pack section to rewrite each FAQ answer and the eligibility page. Follow this protocol for every section produced.

  1. Run the appropriate prompt tier for each FAQ question or page section. Provide the official source text as the only input; do not let AI invent details.
  2. For each AI-produced answer, locate the specific sentence or figure in the official source document that supports it. Highlight it. If a claim in the AI output cannot be located in the source doc, delete it.
  3. Check the position-zero summary sentence (the first sentence of each FAQ answer): Can it be read aloud as a complete, accurate answer to the question without any additional context? If not, rewrite it.
  4. Review the eligibility criteria list: is each item in binary form ("You must be..." / "You are not eligible if...")? Convert any hedged language to binary before publishing.
  5. Web admin reviews the full draft against the website's current CMS structure. Flag any headings or links that will break on publication.
Sprint 2 Deliverable Checklist
📝FAQ page draft (verified)
📋Eligibility page draft (verified)
🔗Source document citation for each claim
👤Web admin sign-off before publication
📅"Last updated" date on both pages
3
Weeks 5–6

Review & Wrap-Up: Test AI Accuracy, Measure Inquiry Volume, and Plan Maintenance

đŸŽ¯
Sprint goal: Test whether AI tools are now repeating accurate information from your pages, measure the change in repetitive applicant inquiries, and set up a maintenance schedule to keep the pages current.
AI Accuracy Test Protocol

After pages are live for at least 2 weeks, test whether AI search tools are repeating accurate information from your pages.

  1. Open a private/incognito browser session. Ask ChatGPT search, Gemini, or Perplexity: "What are the eligibility requirements for [PROGRAM NAME]?"
  2. Compare the AI response to your published eligibility page. Is the answer accurate? Does it cite your page?
  3. Ask 3–5 of the exact question headings from your FAQ. Score: Accurate / Partially Accurate / Inaccurate / No Answer.
  4. If an AI tool repeats an inaccuracy, identify whether the source page is accurate (if so, the AI tool may need time to re-index). If the page has an error, correct the page immediately.
  5. Document results. Share with communications lead and program director.
⚠
If AI tools are repeating inaccurate information, the fix is almost always on your page, not the AI tool. You cannot control AI tool behavior; you can control the accuracy of your source content.
Maintenance Schedule Protocol

GEO-optimized pages are not "set and forget." Build a maintenance schedule before closing this cycle.

  • RequiredIdentify the staff member responsible for updating the FAQ and eligibility pages when program criteria or deadlines change.
  • RequiredSet a calendar event 30 days before next cycle's application period to review and update all optimized pages.
  • SetBuild a "page update trigger list": which internal events (new award announced, deadline changed, eligibility criteria revised) require an immediate public page update?
  • NoteRe-run the AI accuracy test quarterly during the active application season. Log results.
Sprint 3 Deliverable Checklist
🔍AI accuracy test results
📊Inquiry volume before/after
📅Maintenance schedule (set)
📋Page update trigger list
📝Next milestone brief
Full Prompt Pack — FAQ and Eligibility Page Rewrites
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All prompts receive only existing approved content from official program documents. AI restructures and rewrites existing language; it does not create new policy, new deadlines, or new eligibility criteria.
Good — Fast Draft: Single FAQ answer in GEO-ready format
You are a web content writer helping a nonprofit scholarship program optimize their FAQ page for clarity and accuracy.

Your task: Rewrite the following question and answer in a GEO-optimized format that AI search tools can read accurately.

Question: [PASTE THE FAQ QUESTION EXACTLY AS APPLICANTS ASK IT]
Current answer (or relevant section from official program document):
[PASTE EXISTING CONTENT OR RELEVANT PROGRAM DOCUMENT EXCERPT]

Rewrite requirements:
1. First sentence: A direct, complete answer to the question in 1–2 sentences. Must stand alone as a complete answer.
2. Detail paragraph: 2–4 sentences of supporting context or nuance, using only information from the source above.
3. Format: Question as a heading, answer as plain prose (no preamble like "Great question!")
4. Language: Specific and binary where possible ("You must be..." not "Students who are typically...")
5. Do not add information not in the source text above.

Output: The rewritten FAQ entry, ready for staff to verify against the official document.
Use for: individual FAQ entries. Verify every fact in the output against the official source document before publishing. Run once per question.
Better — High-Accuracy: Full FAQ section with self-check and uncertainty flags
You are a web content writer helping a nonprofit scholarship program create a GEO-optimized FAQ page.

Your task: Rewrite a batch of FAQ answers from the source content below into a structured, AI-readable format.

Official program source content (verified):
[PASTE RELEVANT SECTIONS FROM OFFICIAL PROGRAM DOCUMENTS — eligibility criteria, deadlines, award details, application process]

Questions to answer (use only the source content above for each):
1. [QUESTION 1]
2. [QUESTION 2]
3. [QUESTION 3]
(Add more as needed)

For each question, produce:
- A heading: the question as applicants would ask it
- Position-zero summary: 1–2 sentence direct answer that stands alone
- Detail: 2–4 sentences of supporting context
- If any part of the question cannot be answered from the source content, write [STAFF: VERIFY OR WRITE THIS] rather than guessing

Language rules:
- Specific over vague: exact figures, exact dates, exact criteria
- Binary over hedged: "must be" not "should be," "are not eligible" not "may face challenges"
- No preamble, no filler sentences

Output: Each FAQ entry as a heading + two-part answer. List of [STAFF: VERIFY] flags at the end.
Use for: rewriting a full batch of FAQ entries in one session. Efficient for the Weeks 3–4 build sprint. All [STAFF: VERIFY] flags must be resolved before publication.
Best — Governed Workflow: Full eligibility page rewrite with position-zero summary and audit trail
You are a web content writer for a nonprofit scholarship program. This is a governed workflow for rewriting the program's public eligibility page. Follow all steps in order.

STEP 1 — Acknowledge scope:
Confirm: (a) you will use only the official document content provided below, (b) you will not invent new eligibility criteria, deadlines, or award amounts, (c) you will flag any gap between the questions to answer and the source content.

STEP 2 — Produce the eligibility page using only this official source content:
[PASTE CURRENT ELIGIBILITY PAGE AND/OR OFFICIAL PROGRAM DOCUMENT CRITERIA SECTION]

The rewritten page must include:

A. POSITION-ZERO SUMMARY (top of page):
2–3 sentences that answer "Am I eligible for this scholarship?" as directly as possible. Mention the key requirements: institution type, enrollment status, GPA, residency, and any major hard cutoffs.

B. ELIGIBILITY CRITERIA LIST (numbered):
Each criterion as a complete, binary statement:
- "You must be..." (qualifying requirement)
- "You are not eligible if..." (disqualifying condition)
- "Contact us if..." (edge case that requires human review)

C. DEADLINES AND AWARD DETAILS SECTION:
Exact figures only. No ranges. Include the cycle year.

D. HOW TO APPLY (brief):
3–5 numbered steps. Link placeholder: [LINK TO APPLICATION PORTAL]

E. LAST UPDATED LINE:
"Last updated: [DATE — staff to fill in before publishing]"

STEP 3 — Self-audit before outputting:
- [ ] Every figure in the draft traces to the official source content above?
- [ ] Every eligibility statement is in binary form (no hedging)?
- [ ] Position-zero summary answers the eligibility question completely in 2–3 sentences?
- [ ] No new criteria, deadlines, or award amounts introduced?
- [ ] [STAFF: VERIFY] flags inserted for any gap or uncertainty?

STEP 4 — Output format:
A. Self-audit results (one line per check)
B. Full eligibility page draft
C. List of [STAFF: VERIFY] flags with the specific gap or ambiguity for each
Use for: the full eligibility page rewrite. Retain the self-audit output as part of the publication record. Director and web admin review before the page goes live.
Before / After: Eligibility Language

This comparison shows how the same eligibility information reads before and after GEO optimization. The "after" version is what AI tools need to repeat your requirements accurately.

Before — Original Page
Not GEO-ready

We welcome applications from a wide range of students who demonstrate financial need and a commitment to their communities. To be considered, applicants should generally be enrolled or planning to enroll in a post-secondary program and have shown strong academic performance throughout their high school years.

Preference may be given to students from rural backgrounds or who are the first in their family to attend college. The selection committee takes a holistic approach and considers many factors in the award process.

After — GEO-Optimized
GEO-ready

To be eligible for the [PROGRAM NAME] scholarship, you must meet all of the following requirements:

  • You must be a graduating high school senior or current undergraduate student.
  • You must be enrolled or planning to enroll full-time at an accredited two- or four-year institution.
  • You must have a cumulative GPA of 3.0 or higher on a 4.0 scale.
  • You must be a resident of [STATE/REGION] at the time of application.
  • You must demonstrate financial need through the FAFSA or a need-based statement.

Priority consideration is given to first-generation college students and applicants from rural communities, though all eligible applicants are reviewed.

🔍
The "before" version will cause AI tools to say vague things like "the scholarship is for students who have shown academic performance." The "after" version will cause AI tools to say "applicants must have a 3.0 GPA and reside in [STATE]" — which is what you want prospective applicants to hear.
GEO-Optimized FAQ Examples

Each entry follows the position-zero structure: direct answer first, supporting detail second. The first sentence is designed to be extracted by AI tools and read aloud as a complete, accurate answer.

Can I apply if I am already enrolled in college?
Yes. The [PROGRAM NAME] scholarship is open to current undergraduate students in good standing, not only graduating high school seniors.

Undergraduate applicants must be enrolled full-time at an accredited two- or four-year institution and must meet the same GPA, residency, and financial need requirements as high school applicants. Students in their first, second, or third year of undergraduate study are eligible. Students who have already earned a bachelor's degree are not eligible to apply.

What is the application deadline for the 2025–26 award cycle?
The 2025–26 application deadline is February 15, 2026 at 11:59 p.m. [TIME ZONE]. Late applications are not accepted.

All required materials — including transcripts, letters of recommendation, and the personal essay — must be submitted through the online portal by the deadline. Materials received after February 15, 2026 will not be reviewed, regardless of the reason for the delay. If you experience a technical problem with the portal before the deadline, contact [CONTACT EMAIL] immediately.

Can I reapply if I was not selected last year?
Yes. Students who applied in a previous cycle and were not selected are encouraged to reapply in future cycles, provided they still meet all eligibility requirements.

There is no limit on the number of times an eligible student may apply. Previous applicants do not receive preferential consideration; each application cycle is reviewed independently by the selection committee. Students who previously received an award are not eligible to reapply unless the program guidelines specify otherwise.

Recommended Page Structure for Both Optimized Pages
Eligibility Page — Required Structure
Required Position-Zero Summary
2–3 sentences answering "Am I eligible?" Includes the key hard requirements. Written by staff from official document; AI drafts, staff verify.
AI-drafted Eligibility Criteria List (numbered, binary)
Each criterion as "You must be..." / "You are not eligible if..." / "Contact us if..." format. Staff verify every item against official document before publishing.
Human-written Deadlines and Award Details
Exact dollar amounts, exact dates including the cycle year. Staff write this section directly from official records. No AI involvement; too high-stakes for draft errors.
AI-drafted Edge Case Guidance
Brief answers to common edge-case situations (dual enrollment, part-time students, international students, gap year). Staff verify each against current policy; director approves edge-case language.
Human-written Contact and Apply CTA
Link to application portal, contact email, and "Last updated: [DATE]" line. Staff write and maintain. Updated whenever the page is revised.
FAQ Page — Required Structure
Required Grouped by Topic
Questions organized under topic headings: About the Scholarship, Eligibility, How to Apply, Deadlines, Awards, After You Apply. Topic groupings help AI tools index by category, not just by individual question.
AI-drafted Each FAQ Entry (Position-Zero Format)
Question as heading + two-part answer: position-zero summary sentence, then supporting detail. AI drafts from official source content; staff verify all facts before publishing.
Human-written Edge Case and Sensitive Questions
Questions about financial hardship, special circumstances, appeals, or disabilities are written by staff. These carry relationship and legal considerations that AI draft language may underserve.
Human-written Last Updated and Contact Line
"Last updated: [DATE]" and contact information. Required for AI tools to identify content freshness. Staff update the date every time any FAQ answer is revised.
Measurement Framework
AI Accuracy
Test Score
% of FAQ questions answered accurately by AI search tools after pages go live. Test quarterly. Target: 80%+ accurate on core eligibility questions.
Efficiency Metric
Inquiry Drop
Change in repetitive eligibility and deadline inquiry volume after optimized pages go live. Measure over a full application cycle.
Content Quality
Accuracy Rate
% of AI-drafted content items that passed verification without errors during the build sprint. Target: zero undetected errors in published content.