Features for manufacturers

What manufacturers can do on Pure Neo, feature by feature.

Brand profile & history

The profile is how a manufacturer presents its brand on Pure Neo: the company name, where it's based, how long it's been around, and a description the manufacturer writes. Anyone who looks up the brand or follows it lands here.

Brand history is where the brand's story lives: a timeline of milestones from the founding onward, each with a year, a title, a description, and an image. Visitors find it under the Milestones tab on the brand's page.

Product Management

Products is where a manufacturer makes sure every component is shown complete, correct, and at its best on the platform. Most products and their specs are already in the component database. The manufacturer picks up from there.

The product overview shows every product with a completeness score, so the ones that need attention stand out. If a product is missing from the database, they add it right there. If one is no longer on the market, they mark it as legacy.

Example data: completeness and Legacy are visible beside each named product. The filtered list keeps a legacy model alongside current models without changing either state.

Each product has its own edit page that goes beyond the specs: what makes it stand out, what it looks like, how it sounds in the maker's own words. The editor adds descriptions, photos, videos, and downloads, and turns a database entry into a product presentation.

The specs are on the same page. The editor can add or correct them and verify the ones the database already has. Specs matter more than anything else on the platform. People search and filter components by them, the comparison tools run on them, and the AI Assistant looks them up when someone asks for a component that works with their existing setup.

Example data: Confirm and Edit are separate actions in the AAAAA Zeus specification editor. The progress indicator shows that these values have not yet been confirmed.

Market Management

Markets give manufacturers a clear picture of where their brand is sold and where it still needs coverage, and signal partnership opportunities to grow their market coverage.

Manufacturers declare their markets and set a coverage state for each: covered, looking for a distributor, looking for dealers, or looking for both. When distributors declare markets for the brand, those show up here for approval.

Example data: declared markets keep geography, coverage needs and distributor status together. Verified and declined relationships are distinct from whether a market is covered or seeking partners.

The coverage map combines all declared markets into a single view of the brand’s reach. Manufacturers decide what shows on their public brand page: the market coverage only, the looking-for signals, or both. When the signals are visible, potential distributors and dealers see exactly where the brand needs partners.

Example data: the coverage map uses separate colours for covered markets and markets seeking distributors, dealers or both. The named regions and legend remain visible.

Distributor and Dealer Management

Distributor and dealer management is how manufacturers control who represents their brand on Pure Neo. Every distributor and dealer on the platform who claims to carry the brand shows up here, and the manufacturer decides who gets verified standing.

Distributors are organized by market. Each one requests verification for the markets they say they cover, and the manufacturer approves or declines each market individually. Dealers show up with how many stores they run and which cities they're in, and the manufacturer approves or declines them as well. Dealer verification can be revoked if the relationship changes.

Example data: Neo Distributor has three approved markets and one declined market. Decisions are available per market; Approve pending is disabled because nothing is pending.

Example data: Neo Dealer’s relationship shows its Vienna store and the brand and date that verified it.

New requests are also a way to find business partners. A distributor or dealer the manufacturer doesn't know yet might show up requesting verification, opening the door to a new relationship and new market coverage. For some manufacturers this is a reason in itself to be on the platform.

On the other side, if someone claims to be an authorized dealer or distributor without actually being one, the manufacturer sees that request and can decline it. The platform won't show anyone as verified without the manufacturer's approval.

Dashboard

The dashboard gives manufacturers one place to see how their brand stands on Pure Neo: what needs attention, how complete their presence is, and where to go next.

Open requests from distributors and dealers waiting for a decision show up front. Each part of the account, from products to setups, shows a current count and a link to get there directly.

The dashboard also shows which products still need work, like missing images or descriptions, so the manufacturer knows exactly where to pick up. The brand profile tracks its own completeness too, showing which fields are still missing.

Example data: Completeness identifies the missing brand fields and links directly to the two products below 90%.

Setups

Manufacturers also put components together into setups, shown on their public brand profile. For them the point is presenting their components as complete systems: a whole product line as one setup, combinations across their product lines, or their components mixed with other brands, since many brands build only speakers or everything but speakers.

→ Full description: Setups

AI Readiness Check

AI has changed how buyers research hi-fi. When someone asks an AI assistant which amplifier to buy or what speakers fit their room, the answer comes from what the model knows internally, not from a web search. The AI Readiness Check shows where a brand stands in that world: how visible it is across the AI models buyers actually use, and whether those models have the right picture.

The check scans seven AI models, always the current version: GPT from OpenAI, Claude Opus and Claude Sonnet from Anthropic, Gemini Flash from Google, Grok from xAI, Muse Spark from Meta, and Kimi from Moonshot AI.

Users choose where the check looks. Each focus area is a product category at a specific price range, picked from the available product categories — loudspeakers between $5,000 and $10,000, for example, or DACs under $1,000. The same category can appear at two different price ranges, so a brand competing across segments can cover both. At least one focus area is required before checkout.

Start with the brand name and domain, then choose the product areas and price ranges the scan should examine. This configuration has not been submitted.

Beyond visibility, the check reads what reputation the brand has inside each model: what it’s known for, what it’s praised for, and what draws criticism.

The check also analyzes the brand’s website: whether its structure and data let AI systems read and understand the product catalog and specifications. This is a different question from how well the site ranks in search engines (SEO). The brands that invested the most in SEO and in complex, expensive websites are often the hardest for AI to read: what worked well for search engines becomes noise that AI models have to separate from the actual product data.

To see how the brand compares against competitors, up to six can be added by name and domain. The report then shows who gets mentioned more, who gets mentioned less, and where the gaps are.

Three scan depths set how thorough the analysis is: Standard analyzes at least 7,000 data points, Deep at least 14,000, and Max over 27,000.

Scan depth is expressed in analyzed data points. Standard, Deep and Max show the scope before a scan is purchased.

The report scores the brand’s visibility, reputation, and technical readiness, and closes with a prioritized list of what to work on first.

Each check is a snapshot. Order another one later and compare it against the earlier one to see what changed.