Field notes
What a Rightmove listing quality score does not tell you about the agent who wrote it
29 June 2026
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A listing goes live on Rightmove. The quality score is green. Five photos, a floor plan, a full description, keywords present, character count healthy. The portal has no complaints.
The garden faces north. The kitchen was last touched in 2021. Neither of these facts is in the listing.
That green score is a phantom signal. It tells you what the portal can count. It tells you nothing about whether the agent who wrote the copy was in the property, or whether the copy was generated from a two-year-old set of instructions and a photo the AI interpreted generously.
This matters now because AI-assisted listing tools are spreading fast across estate agency. The workflow risk is not that agents will write bad copy. The risk is that agents will write compliant-looking copy that is factually wrong, and the score will reward them for it.
Rightmove's listing optimisation guidance suggests that listings with a higher completeness score see measurably more engagement. The exact multiplier shifts by property type and region, but the directional claim is consistent: fill in more fields, get more views.
So agents optimise for the score. That is a rational response to a rational incentive. The problem is that the score is measuring the wrong thing.
Rightmove's tools can check whether a description field is populated. They cannot check whether the description is true. They can count keywords. They cannot verify that "south-facing garden" corresponds to the compass bearing of the garden in question. They can flag a missing EPC, but they cannot flag a description that says "recently renovated" about a kitchen that has not been touched since the last tenancy ended.
The number rewards completeness. Accuracy is invisible to it.
AI listing tools, used well, are genuinely useful. They reduce drafting time, they catch missing fields, they help junior negotiators produce structured copy faster. None of that is the problem.
The problem is what happens when the tool is handed thin or stale inputs and asked to produce a complete, keyword-rich description anyway. AI tools are very good at producing fluent, confident copy from ambiguous source material. They are not good at saying "I don't have enough information to describe the garden orientation" and leaving that sentence out.
A description generated from a brief that says "3-bed semi, updated kitchen, good-sized garden" will produce something like "the south-facing rear garden offers excellent outdoor space." The AI has no way of knowing the orientation. It is pattern-matching from training data. The output sounds authoritative. It will pass every automated quality check Rightmove runs.
The score goes green. The listing goes live. The statement is invented.
This is the phantom: the score looks like a quality signal, but it is measuring the agent's ability to populate fields, not the agent's accuracy.
The Consumer Protection from Unfair Trading Regulations 2008 prohibit misleading actions and misleading omissions in commercial communications to consumers. Estate agents are explicitly in scope. A listing that states a property has a south-facing garden when it does not is a misleading action. The agent is liable, not the AI tool, not Rightmove.
National Trading Standards Estate and Letting Agency Team (NTSELAT) guidance on material information goes further. It sets out which facts must be present in listings (flood risk, restrictive covenants, non-standard construction) and it expects agents to have verified those facts before publishing. A green Rightmove score does not constitute verification. It constitutes field completion.
The compliance risk here is not theoretical. An AI-assisted workflow that generates descriptions from unverified briefs, publishes them to Rightmove, and reports back "quality score: high" is producing compliance theatre. It looks like due diligence. It is not due diligence.
I have written before about AI-generated property listings creating brand problems at scale. The legal exposure is the sharper version of the same issue.
The score is a symptom. The real problem is upstream, in how agents capture property information before copy is written.
Most estate agency workflows treat the property brief as an informal document: notes from a valuation visit, a photo set, sometimes a previous listing if the property has been on the market before. That brief is then handed to a copywriter, a junior negotiator, or an AI tool. The quality of the output depends entirely on the quality of the brief.
When AI enters the workflow, the brief problem gets worse. AI tools are good at filling gaps. They will produce a complete, fluent description from an incomplete brief. The incompleteness becomes invisible. Before AI, an incomplete brief produced an incomplete description, and someone noticed. After AI, an incomplete brief produces a polished description with invented details, and the score says it is fine.
The fix is not to stop using AI. The fix is to treat the brief as the compliance document, not the listing.
| What Rightmove's quality score measures | What it does not measure |
|---|---|
| Description field populated | Whether the description is accurate |
| Photo count meets threshold | Whether photos are current |
| Floor plan present | Whether room dimensions are verified |
| EPC attached | Whether material information is complete |
| Keyword density in copy | Whether keywords correspond to real features |
| Character count above minimum | Whether the agent visited the property |
The score is a completeness audit. It was never designed to be an accuracy audit. Agents using it as a proxy for compliance are solving the wrong problem.
If the Rightmove score is measuring the wrong thing, what should agents be tracking?
The brief. Specifically: was the brief completed at the property, by someone who was physically present, and does it contain verified facts for every claim in the listing? That is the document that sits under the listing. That is the document Trading Standards will ask for if a complaint is raised.
Agents running AI-assisted listing workflows should build brief verification into the workflow, not bolt it on afterwards. The AI tool should be downstream of a completed, signed-off brief, not upstream of it. The score should be the last check, not the only check.
The workflows that will hold up under scrutiny are not the ones with the greenest Rightmove scores. They are the ones where the brief is the source of truth and the AI is a drafting tool, not an information source.
That is a process design problem, not a technology problem. The AI did not invent the south-facing garden out of malice. Someone handed it an incomplete brief and asked it to produce a complete listing. The workflow allowed that to happen.
If your current setup cannot answer the question "who verified this claim before it went live," the score is the least of your problems. The AI Workflow Audit is where to start.
Consumer Protection from Unfair Trading Regulations 2008 (SI 2008/1277) (full text). Regulations 5 and 6 (misleading actions and misleading omissions) cited.
National Trading Standards Estate and Letting Agency Team, Material Information in Property Listings guidance (gov.uk guidance page). Parts A, B, and C referenced in relation to required disclosures.
Sources verified on 2026-06-29. This post does not constitute legal advice.