Denser vs CustomGPT
CustomGPT and Denser agree that answers should cite their sources. They differ on what produces the answer: Denser Retriever is open source and benchmarked on MTEB above vector search alone, while CustomGPT publishes accuracy claims without the mechanism behind them.
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Valk WeldingCity of San JoséOnondaga CountyEOS AustraliaPortfolioboxUpsiideValk WeldingA chatbot can only answer from the passage retrieval hands it, so retrieval quality sets the ceiling on everything downstream. Denser Retriever combines keyword search, vector search, and an XGBoost reranker, and on MTEB retrieval benchmarks that combination beats a vector-search baseline outright, by 13.07% NDCG@10 over top vector baselines on MS MARCO. CustomGPT publishes accuracy claims but not the retrieval mechanism behind them. In support, that gap is the difference between a correct answer and a confident wrong one.
A Denser bot holds 2,000 pages or 1 GB on Standard and up to 50,000 pages or 25 GB on Enterprise, with reranking to keep the right passage findable as the corpus grows. CustomGPT spreads content across more agents rather than deepening any one of them.
Both products cite their sources, so the question is what sits underneath. Denser Retriever is MIT-licensed on GitHub, so the selection of a passage is auditable rather than asserted.
Denser grades every answer, labels the failures by cause, and clusters them by topic, so the gaps in your content arrive as a ranked list rather than as complaints. CustomGPT does not advertise anything equivalent.
CustomGPT includes more agents per subscription, 10 on Standard against 4 on Denser Standard. That helps only if you genuinely need many separate small bots: each Denser bot holds far more content, and CustomGPT charges roughly six times more per query and $375/mo for an extra 2,500. For most teams the binding constraint is answers and content, not bot count.
| Denser | CustomGPT | |
|---|---|---|
| Retrieval | Hybrid keyword + vector + XGBoost reranking, MTEB-benchmarked above vector search alone. Open source (MIT) | Not publicly disclosed |
| Answer quality monitoring | Flags unanswered questions by cause and topic | Not advertised |
| Cost per query (mid tier) | ~$0.016 ($119 / 7,500) | ~$0.10 ($499 / 5,000) |
| Entry paid plan | $39/mo, 1,500 queries | $99/mo, 1,000 queries |
| Free plan | 20 queries/mo, no card | None |
| Overage rate | Move to the next tier | $375/mo per 2,500 queries (~$0.15 each) |
| Team seats | 1 (Starter), 5 (Standard), 10 (Business), 50 (Enterprise) | 3 (Standard), 5 (Premium), +$100/mo per 5 |
| Source citations | Every answer cited to its exact passage | Yes — citations and anti-hallucination |
| Storage | 50 MB to 25 GB per bot | 60M words (Standard) to 300M (Premium) |
| Deployment | Widget, iframe, React, REST API, TS/Python SDKs, WordPress, Shopify, Slack, WhatsApp | Widget, API, integrations |
| Documents per bot | 100 pages (Starter) to 50,000 (Enterprise) | 5,000 (Standard) to 20,000 (Premium) |
| Bots included | 2 (Starter) to 8 | 10 (Standard) to 25 (Premium) |
| Best for | High answer volume on a focused set of bots | Many separate agents across clients or brands |
Real cost
The same mid-sized site, 5,000 customer questions a month, on each vendor's published rates.
| Denser | CustomGPT | |
|---|---|---|
| Plan needed | Standard, $119/mo (7,500 queries) | Premium, $499/mo (5,000 queries) |
| Headroom left | 2,500 queries | None — the next question is overage |
| Staying on the entry plan instead | Starter $39 covers 1,500 | Standard $99 covers 1,000, then $375 per 2,500 |
| Cost per question | ~$0.016 | ~$0.10 |
| Monthly total | $119 | $499 |
Rates read from customgpt.ai/pricing on 19 August 2026. CustomGPT's annual billing takes roughly 10% off; Denser's takes about 20%.
Switching
CustomGPT indexes your sitemap, documents, and help centre. Denser takes the same inputs, so there is no export step — only a list of what you already gave it.
Upload and crawl. Because both products cite sources, you can compare them precisely: ask the same question and check which one points at the better passage.
Swap the embed snippet, or call the REST API, which Denser includes from the $39 Starter plan.
Take last month's question count and price it on both. This is where the two products separate, and your own volume makes the gap concrete.
Questions
Yes, particularly on cost at volume. Both products cite their sources and are built to avoid hallucination, so the deciding factor is usually price per answer: Denser Standard works out near $0.016 per query against roughly $0.10 on CustomGPT's published plans. CustomGPT stays the better fit if you need 10 to 25 separate agents on one subscription.
Yes. CustomGPT advertises citations and anti-hallucination across its tiers, and this is one of the few comparisons where citation support is not a differentiator. Denser also cites every answer to its exact source passage, so evaluate these two on retrieval quality, content limits, and cost instead.
At the volumes most support sites produce, substantially. CustomGPT Standard is $99/mo for 1,000 queries and Premium is $499/mo for 5,000. Denser Starter is $39/mo for 1,500 and Standard is $119/mo for 7,500. Denser also has a free tier; CustomGPT's cheapest paid plan is $99.
On Denser you move to the next tier, where the per-query rate drops. CustomGPT sells add-on packs at $375/mo per 2,500 queries, roughly $0.15 each, which is more per query than its own base plans.
Both are built for grounded answers, so test rather than take either claim on trust. Denser's advantage is that you can inspect the mechanism: Denser Retriever is MIT-licensed and combines keyword search, vector search, and ML reranking. CustomGPT does not publish its retrieval approach.
Point Denser at the same sitemap and documents you gave CustomGPT, let it index, and swap the embed snippet or call the REST API. Nothing needs exporting, because both products train on content you already own.
Point Denser at your website or upload your documents, ask the questions your customers actually ask, and check the source behind every answer. It takes about five minutes.
