Neuro · Comparison Engine

Comparisons customers actually finish

The Comparison Engine builds side-by-side comparisons straight from your own product data, cards, rooms, plans, sensors, anything you sell in tiers. Ask about any two (or six) options, add real context, and it ends with a verdict instead of a wall of specs.

Try the live demo → Get in touch
Quick answer

Comparison Engine puts two or three of your own products side by side and ends with a verdict. It compares on the attributes that matter to the situation the customer described, explains the trade-off in plain language, and names a winner for that use case instead of leaving the decision unmade.

Capabilities

Weigh the options. Land on an answer.

Situation-aware

The verdict adapts to the customer, not just the catalog

A generic spec table treats every shopper the same. The Comparison Engine asks what actually matters, how often, how much, for whom, and re-weighs the comparison around that answer before it commits to a recommendation.

  • Customer context changes the weighting, not just the copy
  • Re-runs the math live as usage assumptions change
  • Same catalog, different verdict for a different shopper
Honest trade-offs

It will tell a customer to buy the cheaper one

The Comparison Engine isn't tuned to upsell. When the lower-priced option is genuinely the better fit for how someone actually uses the product, it says so, and shows the math that got it there.

  • Surfaces the break-even point, not just a recommendation
  • No incentive baked in to favor the higher-priced tier
  • Builds trust that pays off on the comparisons where you do win
Any offerings

Products, plans, room categories, programs, whatever you sell

The Comparison Engine isn't built around one product shape. Point it at anything with variants and trade-offs, SKUs, account tiers, hotel room categories, degree formats, sensor models, and it learns the specs that matter for that catalog.

  • Works from structured product data, no manual comparison grids
  • Handles two options or a whole line-up of six or more
  • New variant added to your catalog, the engine already knows it
Cards · Accounts
Room categories
Sensor models
Embedded

Lives on the product page, right where the decision happens

Drop the Comparison Engine directly into a product page and it knows what the shopper is already looking at. The comparison, and the verdict, render inline, built for conversion, not for a separate research tab.

  • Detects page context, no re-selecting the current product
  • Renders inline; no redirect off the product page
  • Built to end in an add-to-cart, not a bounce

Ends in a verdict, not a shrug

Every comparison closes with a clear recommendation for the customer's stated situation, not a spec dump they have to interpret themselves.

No competitor bashing, your catalog only

The Comparison Engine compares your own products, plans and tiers against each other. It never mentions a competitor by name.

Always current with your data

Prices, specs and availability sync from your product data automatically, nothing to hardcode when a plan or price changes.

The difference

A verdict, not a spreadsheet

Every other comparison page
Model AModel B
Driver size40 mm42 mm
Impedance32 ohm38 ohm
Frequency range20 Hz to 20 kHz10 Hz to 22 kHz
Bluetooth5.35.4
Codec supportAAC, aptXAAC, LDAC
Charging portUSB-CUSB-C
Weight254 g312 g
Fourteen rows of true facts and no answer. The customer is left to decode it alone, and most close the tab instead.
Comparison Engine
Get the Aurora Max ANC. For your daily train commute the 40-hour battery, lighter build and adaptive noise cancelling matter far more than the Studio Pro's reference-flat tuning, and it saves you $80.
Battery lifeMax ANC · 40 hrs
WeightMax ANC · 254 g
Noise cancellingMax ANC · Adaptive
The three rows that matter for this shopper, up front. The other eleven stay available, not in the way.
The flagship duel

Rows split both ways and the verdict still lands

the electronics retailer's two flagship headphones each win real rows, battery and weight go one way, sound stage and mic quality the other. The engine does not flinch, it picks a side for the person actually asking.

  • Every row scored honestly, even when the winners split
  • The verdict names who each side is right for
Answer first

The verdict sentence lands before the table does

A frequent flyer asks the retail bank to compare two cards. The recommendation arrives first, in one sentence, and the fee math sits underneath for anyone who wants to check the working.

  • Break-even calculated against the stated travel pattern
  • Every number traceable back to the card catalog
Warm, not robotic

Rooms, dinners and offers, weighed like a good concierge would

At the Grand Resort group the engine weighs a Garden Room against a Bay Suite for a family with a toddler, and answers warmly, with the rate sheet or menu cited under every reply.

  • Recommends the cheaper room when it genuinely fits better
  • Every answer cites the source it was drawn from
Beyond the pair

Three candidates, one persona, one ranked answer

A budget-minded student asks about all three mid-range models at once. The engine normalizes the three spec sheets, weights every row for that persona, and hands back a ranked answer with the one reason that decided it.

  • Three-way comparisons ranked, not just paired off
  • Each candidate keeps its honest strength and weakness
From verdict to inbox

The verdict becomes a sendable email in one step

A rep who just watched the comparison land asks the engine to write it up. It takes the finished verdict, adapts it to the customer's context from the thread, and drafts an email that is ready to send, not a summary to rewrite.

  • Drafts in the customer's context, not boilerplate
  • The verdict and its reasoning carry over intact
Who is asking

It knows what matters to whom

The commuter

Two trains a day means battery hours and weight get weighted up, and noise cancelling stops being a nice-to-have.

Winning row · Battery life → Aurora Max ANC

The gamer

Latency and mic quality jump to the top of the sheet, comfort over long sessions close behind. Weight barely registers.

Winning row · Mic quality → Aurora Studio Pro

The parent

Buying for a nine-year-old reorders everything: durability, volume limiting and price outrank every audiophile spec.

Winning row · Price → Aurora Buds Mini

The frequent flyer

Twenty-four flights a year pushes FX fees, lounge access and delay insurance to the top of the card comparison.

Winning row · Lounge access → Platinum Card
The path

From two candidates to one confident answer

STEP 01

Two candidates in

A shopper names two options, or the engine picks the closest pair from the page they are already on.

STEP 02

Specs normalized

Prices, units and feature names are pulled from your live product data and lined up so the rows actually match.

STEP 03

Weighted for the asker

The customer's situation reweights the rows, a commuter's battery hours count for more than a spec sheet says.

STEP 04

One confident verdict out

The comparison ends in a recommendation with the math shown, never a table the customer has to decode alone.

Who uses it

Wherever a customer is deciding between options

E-commerce

Product-page comparison widgets that end in an add-to-cart, not an abandoned tab.

Sales

Reps get an honest side-by-side to send prospects instead of building one from scratch every time.

Marketing

Comparison pages that stay accurate without a rewrite every time a plan or price changes.

Product

See which trade-offs actually move a purchase decision, drawn straight from real comparison queries.

Ready for your industry

Verdicts tuned for seven industries

Works with
Try it in this industry →

Let customers compare with confidence

The live demo runs the Comparison Engine over six fictional catalogs, add your own context and watch the verdict adapt.

Try the live demo → Get in touch