The most common AI question UK charity workers ask me is some version of: “Why would I pay for CharityIQ when ChatGPT is free?”
Honest answer: for a one-off bid, you wouldn’t. ChatGPT is brilliant at first drafts. So is the free Charity Excellence Framework AI Bunny — and it’s structured specifically for UK charity bid writing.
The wedge — the reason sector-specific paid tools exist — is what happens when you stop doing one-off bids and start running fundraising as a workflow. This post shows that side-by-side with a real test.
Full disclosure: this comparison is published by CharityIQ. I’ve tried to be fair to ChatGPT and AI Bunny. Both are excellent at what they’re designed for.
The test setup — same grant, three tools
Same brief: draft the “Need” and “Outcomes” sections of a National Lottery Awards for All grant application.
Charity: Riverdale Community Trust (fictional, £200k income, Tower Hamlets, youth mentoring programme)
Grant requested: £18,500 for youth mentoring expansion
Sections drafted: Need (300 words), Outcomes (300 words)
Tools:
1. ChatGPT (free version)
2. Charity Excellence AI Bunny (free)
3. CharityIQ Growth tier (£149/mo)
Inputs given to each tool:
– Charity name and registration number
– Brief description of the existing programme
– Funder name and round
– Target outcomes
That’s the standard set of information a fundraiser would have when starting to write.
Round 1 — ChatGPT
Speed: First draft in 90 seconds. Total session including prompt-writing: ~5 minutes.
Output quality: Confident-sounding, well-structured, plausible English. Reads like a competent first draft.
What ChatGPT did well:
– Structure was good (problem → context → response → outcomes)
– Sentence-level prose was clear
– Used the language of the funder (community, impact, beneficiaries)
– Identified the right outcome categories (confidence, isolation, education progression)
Where ChatGPT failed:
The Need section included this sentence:
“In Tower Hamlets, 38% of children live in households below the poverty line — significantly higher than the national average.”
The 38% statistic is roughly correct for Tower Hamlets child poverty. But ChatGPT had no way to verify this. The same prompt run again produced 41%, and a third run gave 44%. The model was guessing in a believable range. If the actual figure was 38% and ChatGPT generated 44%, the application would have a fabricated statistic.
For a one-off bid where you’ll fact-check thoroughly before submission, this is manageable. For a fundraiser writing 30 applications a year, the fact-checking burden is significant.
Other gaps:
– No source citations
– No funder-specific knowledge (didn’t know Awards for All caps at £20,000)
– No memory of the charity — every new session starts fresh
Audit trail: None. The conversation lives on the user’s account and could be lost.
Round 2 — Charity Excellence Framework AI Bunny
Speed: Structured 17-question prompt sequence, then bid generation. Total session: ~10–15 minutes (the questions take time, the AI is fast).
Output quality: More charity-specific than raw ChatGPT. The structured questions force you to provide context (beneficiaries, outcomes, geography, funder, amount), which means the AI has more to work with than a blank prompt.
What AI Bunny did well:
– Sector-appropriate framing (impact-led, beneficiary-centred)
– Caught the funder type and adjusted tone accordingly
– Pulled in concepts familiar to UK charity sector (theory of change, M&E)
– Free, with no credit card or commitment
Where AI Bunny had limits:
The 17-question structure is its strength and its constraint. You can’t go beyond what the questions ask for. If your charity has rich data — past application outcomes, beneficiary survey results, ward-level statistics — there’s no way to get them into the draft. Each session starts from the questionnaire, not from your charity’s stored profile.
The Need section pulled in some general context but had the same problem as ChatGPT — no way to verify the statistics. The output mentioned poverty rates but couldn’t ground them in current ONS data.
Specific output observation: The structured input made the result more reliably charity-tone than raw ChatGPT. The downside: it felt slightly templated. Reading several AI Bunny outputs in a row, you could see the structural fingerprint.
Audit trail: None. Each session is fresh.
Best use case: A small charity writing its first grant application. Or a charity that applies once or twice a year and doesn’t want to invest in paid tooling. AI Bunny is genuinely excellent for that situation.
→ Charity Excellence Framework — Free AI Bid Writing
Round 3 — CharityIQ
Speed: First draft in 12 minutes for a complete grant application (not just two sections). For just Need + Outcomes: under 5 minutes.
Output quality: Where this comparison gets interesting.
What CharityIQ did differently:
The Need section pulled in:
– Tower Hamlets ward-level child poverty rate from current ONS data
– IMD ward decile for the specific postcode
– Cross-reference to previous successful applications from the saved charity profile
– Inline citation links — every statistic a hyperlink to the source
The Outcomes section drew on:
– The charity’s existing impact data (from past applications stored in the profile)
– Validated outcome measurement frameworks the charity has used before
– Quantitative baselines from previous programme cycles
The output didn’t look dramatically different from ChatGPT’s at sentence level. But the groundedness was different — every claim had a verifiable source.
Where CharityIQ shows its differentiation:
- Citations. Every statistic linked to its source (ONS, IMD, charity’s own evaluation data)
- Profile memory. No re-pasting charity context — the profile is loaded
- Funder knowledge. Knew Awards for All caps at £20,000, prioritises smaller incomes
- Audit trail. Full log of prompts, sources, human approvals — visible in the platform
Where CharityIQ doesn’t beat free tools:
- Cost. £49–£149/mo versus free.
- Speed for genuinely first-time charities — there’s a ~20-minute setup of the charity profile before first use.
- Brainstorming wide-open ideas. ChatGPT is more flexible for “give me 30 unrelated ideas”.
For a one-off bid, the free tools win on cost and immediacy. For ongoing fundraising at a charity applying to multiple grants per year, the time and audit-trail savings recover the subscription cost quickly.
Output quality compared
A specific observation from running these tests across multiple grant types: the gap between tools widens as the work scales.
For a single bid, drafted in isolation: ChatGPT and AI Bunny are 80–90% as effective as CharityIQ. The gap is the citation precision.
For a charity writing 5 bids per year, with overlapping content: the gap widens. Re-pasting context every time consumes hours. Profile memory becomes meaningfully better.
For a charity reporting to funders post-grant: CharityIQ pulls together impact data automatically. Free tools require you to re-find and re-structure your impact data each report.
For a charity facing a Charity Commission audit: the audit trail matters. Free tools don’t have one. Sector tools that do are visibly more defensible.
Time-to-completion compared
| Task | ChatGPT | AI Bunny | CharityIQ |
|---|---|---|---|
| First grant application (no profile) | 90 min | 60 min | 90 min (incl. profile setup) |
| Second grant application | 75 min | 45 min | 25 min |
| Tenth grant application | 75 min | 45 min | 12 min |
| Annual report draft | 90 min | n/a (not designed for this) | 30 min |
| Funder-specific impact report | 60 min | n/a | 15 min |
| Charity Commission annual return narrative | 90 min | n/a | 30 min |
The pattern: free tools are competitive for first-time use. They don’t get faster with repetition. Sector tools get dramatically faster as your stored profile grows — that’s the compound effect of grounding.
From CharityIQ
AI Bunny is brilliant for one-off bids. ChatGPT is brilliant for first drafts and brainstorming. We built CharityIQ for the bit they can’t help with — the year-round fundraising, compliance, and impact work where audit trail matters.
When each tool wins
The honest answer to “which should I use” is “all three, for different things”:
Use ChatGPT for:
– General drafting (newsletters, social posts, internal memos)
– Plain-language rewriting
– Brainstorming
– Summarising long documents
– Translation
Use Charity Excellence AI Bunny for:
– Your first grant application (when you’re learning)
– Occasional one-off bids
– Free policy templates (40+ available alongside the AI tool)
– Sector-specific content with no commitment
Use CharityIQ for:
– Multiple grant applications per year
– Charity Commission compliance work
– Impact reporting that funders read
– Anything involving beneficiary data
– Anything where audit trail matters (regulator-facing work)
These tools complement each other. They’re not winner-take-all alternatives.
Cost over a year of grant writing
For a typical UK charity applying to 6–10 grants per year:
| Tool | Annual cost | Time per application (after setup) |
|---|---|---|
| ChatGPT (free) | £0 | 75 min |
| ChatGPT Plus | £240 | 75 min |
| AI Bunny (free) | £0 | 45 min |
| CharityIQ Growth | £1,788 | 12 min |
| CharityIQ Growth (annual, 20% off) | £1,428 | 12 min |
For 8 applications per year:
– ChatGPT: 0 + 600 minutes = £0 / 10 hours
– AI Bunny: 0 + 360 minutes = £0 / 6 hours
– CharityIQ: £1,428 + 96 minutes = £1,428 / 1.6 hours
If your fundraiser’s time is worth £25/hour, the time saved with CharityIQ is approximately £210 across the year. Plus the audit trail value, plus compliance integration, plus impact reporting.
The honest framing: CharityIQ doesn’t pay for itself purely on grant-writing time saved. It pays for itself on the integrated workflow — grants + compliance + impact in one tool, with audit trail and citations.
If your only need is grant writing, the free tools are competitive on cost. If you need the integrated workflow, that’s where the paid tool earns its place.
Frequently asked questions
Q: Is ChatGPT good enough for charity grant writing?
A: For one-off bids, yes — with rigorous fact-checking before submission. For ongoing fundraising at scale, the re-pasting-context overhead and hallucination risk become real costs. Sector-specific tools that ground every claim in verified data are safer for high-volume work.
Q: Why would I pay for CharityIQ when AI Bunny is free?
A: For one-off bids and occasional grant writing, you wouldn’t — AI Bunny is excellent for that. Pay for CharityIQ when you need profile memory (no re-pasting), audit trail (regulator/trustee facing work), integration (grants + compliance + impact), and ongoing use across the workflow. The 14-day free trial is the way to see if your situation fits.
Q: Can I use Charity Excellence AI Bunny and CharityIQ together?
A: Yes — they don’t conflict. Many charities use AI Bunny for occasional one-off bids and CharityIQ for ongoing fundraising and compliance. Different use cases, complementary tools.
Q: What about hallucinated statistics — does CharityIQ never hallucinate?
A: CharityIQ is grounded in verified data sources (Charity Commission, ONS, your own impact data, 360Giving funder data). Hallucination risk is dramatically reduced — every fact is cited to a source you can click through to. It’s not zero — any LLM-based system has residual risk — but it’s much lower than free generic AI, and the audit trail makes any errors traceable.
Q: Should I use ChatGPT for non-grant charity work?
A: Yes. ChatGPT is excellent for drafting communications, summarising documents, brainstorming, and plain-language editing. Just don’t paste sensitive beneficiary data into the free version — that’s where GDPR concerns kick in.
What to do next
If you’re a UK charity worker reading this and you’ve been using ChatGPT for grant writing, the practical path:
1. Try Charity Excellence AI Bunny. It’s free, sector-built, and a structured improvement over raw ChatGPT for grant work. Even if you eventually upgrade, AI Bunny is a useful step.
2. If you’re applying to multiple grants per year, try CharityIQ. 14-day free trial, no credit card. Same drafts, your data, full audit trail. The trial is exactly long enough to test whether the profile memory and citation grounding make a real difference for your specific charity.
3. Keep ChatGPT for general work. Drafting comms, summarising, brainstorming. It’s free and it’s good.
For ongoing fundraising and compliance work where audit trail and citations matter, that’s specifically what we built CharityIQ for.
See the difference grounded AI makes.
Same drafts. Your charity’s data. Audit trail by default. Free 14-day CharityIQ trial.
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Written by Ivan Siyanko, founder of CharityIQ. Ivan runs a UK registered charity and built CharityIQ because the existing tools weren’t built for what UK charities his size actually do.
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– The Best AI Tools for UK Charities in 2026 (Tested & Compared)
– ChatGPT for Charities: Where It Helps, Where It Hurts
– CharityIQ vs Plinth vs Undercroft vs FundRobin: Honest 2026 Comparison