All competitors sound the same because they use the same words for something they have never measured. 'Quality', 'personal service' and 'customization' are no longer distinguishing claims, they are the standard entry fee to be allowed to participate in a tender process.
A spokesperson for a competitor says 'we think along with you' because it is safe: it cannot be refuted and it costs nothing to say. As long as a claim is not linked to a source — a customer verdict, a delivery time, an error rate — every claim is interchangeable with the neighbor's. A company of 150 people in b2b services may have the exact same sentence on its website as the direct competitor, word for word almost, without either of them noticing. That is not because they are not unique. It is because neither of them has written down on what dimension they are unique, with what evidence.
What is on the homepage is marketing language. What decides a deal usually lies elsewhere: response speed to a quote request, how predictable a delivery is, how a complaint is handled, whether the price holds up without surprises afterward. A technical installation company that has claimed 'flexibility' for years may not be losing deals on flexibility but on lead time — a dimension that appears nowhere on the website but plays a role every week in the awarding of contracts. As long as management does not know which dimensions actually settle matters in their own market, their own claim remains just as generic as the competitor's, however good the underlying performance may be.
'We are the reliable partner' is an opinion. 'Ninety percent of our deliveries arrive within the agreed timeframe' is a claim with a source. The difference is not in the confidence of the sentence, it is in whether someone can check it. Management that doubts whether a claim about its own quality holds up against a critical buyer will find leads in how you substantiate a claim about your own quality — because the question is not whether the company is good, the question is whether that is demonstrable at the moment a prospect chooses between three suppliers who all claim to be 'good'.
A company of 200 people that acquires a competitor inherits two sets of promises that often arose independently of each other, and are rarely based on the same dimensions. One branch claims speed, the other claims precision, and no one has ever established whether the combined organization actually leads the market on both or only on paper. Anyone who wants to re-establish their own position relative to the peer group after an acquisition can read how that is approached in how you compare your position after an acquisition. Without that step, the combined website carries two layers of the same generic language, now in double dose.
If it turns out that a claim does not hold up — that the competitor objectively scores better on a certain dimension — then the next question is not rhetorical. A lag on one dimension does not necessarily require action everywhere; sometimes compensating on another dimension is the more realistic route. What is sensible in this depends on how much weight that dimension carries in the ultimate purchase decision, and that is exactly what what to do about a lag on a dimension addresses.
To see whether your own story is already leaking somewhere before a full study is in place, there is a free loss-on-price check: eight questions that indicate on which dimension a supplier is likely losing deals because the price does not match what the market gets back for it. That is not a verdict on the entire proposition, it is a first signal about where it is worthwhile to look further.
The competitive benchmark on this site shows which dimensions actually decide a market, where your own position stands relative to the peer group, and what evidence supports each score — not an opinion, but a source attached. Once it is clear which dimension is weak, closing that gap is a matter of execution: adjustments to processes, people and systems that cost time and capacity. What that execution roughly requires and which part of it can be covered by AI is worked out in the work scan on ftetoai.com.