The CMO is doing this already. The question is whether the work compounds.
Most SA brand teams already check what ChatGPT says about them. They open ChatGPT, ask three questions, screenshot the answer, and forget. The question is whether that work compounds into a defensible dataset and a remediation pipeline — or stays as a once-a-quarter screenshot deck.
About Manual ChatGPT monitoring: The default approach: a junior marketer types the brand name into ChatGPT, Claude, and Gemini once a quarter, takes screenshots, and emails the CMO. ~3 hours per quarter per brand. Effectively zero recurring cost.
Manual monitoring answers "what is ChatGPT saying about us today?" Cited Brands answers "how is our AI search citation pattern shifting over time, where are the worst gaps, and what specifically should we do this month to close them?" Both have value; only the second supports a six-figure budget line.
Side by side. No marketing fog.
- ✓You want quarter-over-quarter trend visibility, not point-in-time snapshots
- ✓Your CMO needs to defend a citation-share number to the board with reproducible methodology
- ✓You want the remediation roadmap (specific HelloPeter responses, editorial pitches, Wikipedia work) ranked by projected lift
- ✓You want competitive benchmarks measured under identical methodology to your own brand
- ✓Your procurement needs an audit trail (versioned Dataset JSON-LD records, Git-tagged quarterly releases)
- →You are running a one-off curiosity check — manual is faster
- →Your brand has no AI search exposure (e.g. category nobody asks AI about)
- →You have no remediation budget — visibility without ability to act is just bad news
About this comparison.
How much does manual monitoring actually cost?+
On paper, near-zero. In practice, ~3 hours per brand per quarter of marketing-team time, plus the cost of poor decisions made on incomplete data. A CMO acting on a 5-query screenshot deck is more dangerous than a CMO with no data at all — overconfidence beats ignorance for downside.
Why not just write a script that does what Cited Brands does?+
You can. The script is straightforward — query each LLM, extract citations, classify domains, store. The differentiated work is not the pipeline; it is the SA-specific source taxonomy (HelloPeter subdomains, BusinessTech vs business-tech.co.za, PissedConsumer per-brand pages), the Latin Square debiasing methodology, the quarterly versioned dataset, the remediation playbooks, and the publishable Index Report. Plus the recurring engineering cost of LLM API changes.
What is the smallest brand for which Cited Brands makes sense?+
Realistically, brands with an existing reputation analytics budget (>R1M/year). For smaller brands, manual monitoring + a clean Wikipedia page + active HelloPeter response is the right starting point. We will publish a free top-100 SA scorecard quarterly regardless, so any brand can see where they sit before committing.
Can I start manual and graduate to Cited Brands later?+
Yes, and this is the most common path. Most pilot conversations start with the CMO showing us their internal screenshot deck. We run the same brand through Cited Brands and the comparison sells itself. No bridge contract needed — we are an immediate addition or substitute for whatever the manual cadence has been producing.
Run your brand through both platforms.
Cited Brands gives you a free scorecard in 30 seconds. The hardest question to answer with a slide deck is: what does your brand actually look like in AI search right now?
Get your free brand scorecard →