Positioning Is Shape, Not Score

In a category where every product scores the same on every axis, you win by dominating one axis and letting the rest fall, because buyers and AI answer engines retrieve shape, not average score.

Published 18 June 2026

A typical B2B category now holds 5 to 8 products that clear the same feature checklist, demo within minutes of each other, and answer the same RFP line by line. Founders staring at that parity reach for the obvious fix: find the axis where the product rates 6 out of 10 against the field, and grind it to an 8. The fix feels responsible. It loses. Buyers do not pick the product with the highest average across an evaluation grid, and an AI answer engine recommending a tool does not either.

The losing pattern has a name: the parity polygon. The parity polygon is a go-to-market profile that rates near the category average on every buyer-evaluation axis and dominates none, which leaves the product with no shape a buyer remembers and no edge an AI engine can attribute when it assembles a recommendation. Software did not invent the cleanest proof that shape beats score. Television did, in the two drama traditions that crossed the most borders on earth by maxing opposite axes and letting the rest fall.

Feature parity is the floor, not the difference

Pendo's 2019 Feature Adoption Report found that 80% of features in the average software product are rarely or never used, and that 12% of features drive 80% of daily usage. Parity is table stakes. A roadmap that lifts the product from 6 to 8 on a feature column almost no buyer exercises pours money into the 80% nobody opens. The Standish Group's Chaos research put the rarely-or-never-used share near 64%, split into 45% never touched and 19% barely touched. Coverage is the cost of entry to the shortlist. Coverage is not the reason anyone picks you off it.

The best dramas win by maxing different axes, not all of them

Squid Game reached No. 1 in more than 90 countries and drew 142 million households in its first season, by Netflix's own count, while rating low on the romantic longing that anchors classic melodrama. Korean and Turkish drama are the two engines that crossed cultures hardest, and they sit near-opposite in shape. Turkish dizi run 120 to 150 minutes an episode on a slow weekly burn, while Korean mini-series compress a finished arc into 16 tighter hours built to land. Parrot Analytics measured worldwide demand for Turkish series climbing 184% between 2020 and 2023, against 73% for South Korean shows over the same window, with Squid Game already in the mix. Neither tradition won by being uniformly good. Each one chose a shape.

The product lesson sits one layer down. A category leader that reads as narrow and opinionated is not underbuilt; it chose a shape, the way Squid Game chose dread over romance. The blandest products in a market are usually the ones working hardest to be good at everything.

Buyers and AI engines retrieve shape, not average

The 2024 Princeton GEO study found that statistic-dense, well-attributed, extractable claims lift a source's visibility in AI-generated answers by up to 40%, which means the engine surfaces a sharp position and skips a balanced average. Positioning and differentiation are not synonyms, and the gap between them is the whole game. Positioning is the shape a product chooses to present; differentiation is the subset of axes where that shape beats the real alternatives a buyer is weighing. April Dunford, who has run positioning for 200-plus companies and wrote Obviously Awesome, arrives at the same point from the sales side: you differentiate by narrowing focus, not by adding features, and positioning that ignores competitive alternatives reads fine and converts nobody. Average is not a position. An answer engine choosing a tool behaves like a buyer with no patience, retrieving the product that owns an axis, attaching its named claim, and moving on.

What to do about it

The fix is to fund every axis to threshold and exactly 1 axis past it, never the reverse. Here is the rule in operator terms. If your product rates 7 out of 10 against the category on 6 buyer axes and 9 or higher on none, you are sitting on the parity polygon, so cut spend on your 2 weakest non-decision axes back to threshold and pour it into the single axis your 10 best customers named when they chose you, because buyers and models retrieve the axis you win, not the average you post. The strongest objection comes from enterprise, where RFPs are scored on coverage and a blank cell on a required axis can disqualify a vendor regardless of strength elsewhere. The floor is real, and the resolution is a threshold rule rather than a coverage race. If an axis is a procurement filter that fails you when it is absent, fund it to the pass line and not one sprint further, because spend above the disqualification line on an axis no buyer chooses on returns zero extra wins. Clear the checkboxes cheaply. Win loudly on the one axis that closes.

Parity is table stakes; shape is the product. The teams that win the next decade of crowded categories will not be the ones that nudged a weak column from 6 to 8. They will be the ones that looked at the parity polygon, refused it, and spent their scarce conviction making one axis undeniable, the way the best dramas on earth picked a feeling and drove it all the way to the wall. Score gets you shortlisted. Shape gets you chosen.