Changelog

Your weekly summary email just got the same upgrade as your dashboard cards. You'll now see your top products, top queries, and feed health, including query coverage, right in your inbox.

Same clear, actionable overview you get on the dashboard, now delivered weekly without logging in.

Live for all users today.

Your property cards on the dashboard just got more useful. Each card now shows your top 5 products by query count and your top queries with their position score breakdown, so you can spot what's working without opening a report.

Feed health is front and center too. You'll see your active feed, when it was last audited, and query coverage at a glance: how many of your tracked queries are optimized in your feed, and how many are actually ranking. Each card ends with one clear suggested action, like fixing titles for underperforming queries.

If we can't match your seller name in tracked SERPs, the card tells you directly, with a shortcut to fix it.

Live for all users today.

Multi-seller tracking is now available on the Google Shopping surface. You can see when a listing shows multiple sellers, track your Multi-Seller %, and review the Competitive Position block in Product Rankings, Query Groups, and Product Details, the same workflow you already use for Search and AI Mode.

Multi-seller history on Shopping is reliable from October 9, 2026 onward.

The Product Titles report has been completely overhauled to help you optimize your product titles for maximum visibility in Google Search, Google Shopping, and AI mode.

What's new

We analyze every product title we find across search results and plot the words that top-ranking products are using, so you can see exactly which words correlate with strong positions for the keywords you care about.

• A new scatter plot showing how often each word appears in ranking titles and the average position score for products using it
• Real product title examples pulled straight from live search results for every word
• One-click access from any word to the full rankings report for that product

Title gap analysis

The standout addition is a new section at the bottom of the report: title words that competitors are using that you are not. It compares your product titles against everyone else ranking for the same query and reveals the lowest-hanging fruit you may be missing, including words you might not have considered on your own.

Read the full breakdown on our blog: Product Title Gap Analysis Report.

Over the past month we added AI Overview tracking, AI Mode tracking, and most recently Google Shopping tracking, all on top of regular Search. That's a lot of surfaces, and a lot of data. This update is about making that data easier to use.

A surface toggle on every report

Every report in Productrise now lets you switch between regular Search, AI Mode, and Google Shopping. A small change on the surface, but it makes a big difference in understanding how each one works. AI Mode tends to recommend different products than regular Search, and Google Shopping shows forty product listings for every query, so results can look completely different depending on where you look.

A new Queries page

For every query you track, you now see aggregate stats per surface, including:

• How often a product carousel or AI Overview shows up
• How many products are showing
• How often your brand appears as one of the products, and on how many days
• The combined position score of your products

Click any stat and you land on the product rankings for that query with your seller already selected. You can also export everything to a spreadsheet for further analysis.

An improved product details page

You can now dig into a single, specific product and see exactly how it performs. Select a seller (you or a competitor), select the product, and see where that product was found, for which query, and on which surface. From there you can click through to inspect the exact result.

Together, these updates give you the full picture of how your products rank across Google's many surfaces, not just one.

This is live for all users now.

You can now track Google Shopping directly as its own surface in Productrise, available to every user, including the Free plan.

Google Shopping only shows products. No AI overviews, no regular search results, no Maps or YouTube results mixed in, just the shopping graph. Each tracked query returns 40 organic product listings per day, with the same sellers, prices, images, titles, and reviews you already see in Product Rankings.

You get the same tracking features you are used to as well:

• Position changes for every product, day over day
• Seller changes on the same product, so you can see when a competitor takes over the top spot
• Price analysis, seller analysis, and position scores across all your reports

To start tracking Google Shopping, select it as a surface on your existing queries. No extra setup needed, and it is available for users in the EU and the US alike.

When you hover a product in the SERP Position Tracker in Product Rankings, the tooltip now shows an Element title. This is the heading Google uses for that product block, such as Popular products, In stores nearby, More products, or Comparison Sites.

Know exactly where your products show up

One SERP can show several product modules at once. The carousel number alone didn't tell you which module a product appeared in. The element title makes that obvious, so you can see exactly where your visibility comes from.

Local product rankings

Check whether your visibility comes from local results. When a listing sits under a Deals nearby or In stores nearby element, it's driven by local inventory rather than regular shopping results. Learn more about tracking In stores nearby and local organic shopping results.

Comparison Shopping Service blocks in the EEA

In the EEA, Google now shows Comparison Shopping Service (CSS) blocks alongside or instead of its own product carousels. The element title tells you when your listing appears in one of these CSS modules. Read more about product carousels disappearing from Google in Europe.

Missing titles and historical data

If Google doesn't send a heading for a block, we show Element title: null so you can tell missing data apart from a real title.

We've backfilled element titles for roughly the last 10 days of stored SERP data, where raw responses are still available. Older days fill in as new tracks run.

AI Mode tracking is now live in Productrise. It's the last of Google's surfaces we hadn't covered, which means you can now follow your products across regular search, AI Overviews, and AI Mode, all from the same queries you already track.

AI Mode doesn't behave like a product carousel. It tends to show far fewer products, often from different sellers and at higher prices, and it frequently picks products that don't rank in the carousel at all. Tracking it closes that gap and gives you a complete window into Google's Shopping Graph.

Nothing new to set up

There's nothing extra to configure. Productrise runs your existing queries on both regular search and AI Mode every day, then reports back the same signals you rely on in the carousel reports: position over time, prices, sellers, titles, and reviews. The Queries page shows last-7-day coverage across every surface side by side, so you can spot the keywords where AI Mode is already returning products.

AI Mode tracking is available on the Growth plan and higher. Want the full story on how it works? Read the detailed blog post here.

You can now generate Google product highlights automatically with supplemental feeds. These are the short, scannable benefit bullets Google shows in Shopping and its AI surfaces, and most feeds are missing them or only have one when Google wants at least two.

For each product, Productrise reads your existing feed data, crawls the product page, and generates 4 to 6 tight highlights based only on what's actually true about the product. If the source can't support at least two confident highlights, Productrise leaves the product empty rather than inventing anything.

You stay in control of how it applies: fill only the gaps, refresh values you generated before, or override everything. Generate a sample to review current versus generated highlights side by side before committing to a full batch, and add custom instructions for language, tone, or focus. Everything writes to your supplemental feed, so your primary source stays untouched.

Product highlight generation is available on the Growth plan and higher, like all supplemental feed generation.

Google rewards richer product data than just titles and descriptions. Attributes like highlights, structured details, and FAQ-style Q&A help Google present your products more clearly in organic shopping and AI surfaces like AI Mode. Most feeds still don't include them.

Feed Audits now check for three of these attributes, so you can catch the gaps before they cost you visibility:

• Product Highlights: short benefit bullets a shopper can grasp in seconds
• Product Details: structured specs Google can use to answer detailed questions
• Question & Answer: FAQ pairs built for long, specific conversational queries

All three run automatically on every audit and re-audit, appear in your report, and count toward your Feed Audit Score. When a check flags missing highlights or Q&A, you can generate them with supplemental feeds and push them to Merchant Center without touching your primary feed.

When you imported a feed, you used to see one number: how many products came in. Now Productrise captures a full import report, so you know exactly what happened to your data.

Every import now shows four things at a glance, both on the Feeds page and in the import wizard:

• Imported: products that successfully made it into your feed
• Duplicates skipped: rows skipped because the URL already existed, including the product they matched
• Errors: products that failed to import, with the title, URL, and the reason why
• Sitemap gaps: product URLs found on your website's sitemap that never made it into the feed

Need row-level detail to share with a client, agency, or dev team? Export the full report to a spreadsheet, with a separate tab for each category. We'll email you when it's ready.

Feed Audits are now available on every plan, including Free. Paste an existing Google Shopping XML feed URL, and Productrise imports your products and runs a full audit automatically. You get a completion email and a full report showing exactly what's holding your products back, from titles and descriptions to images, categories, structured data, and price matching. It's the same audit engine our paid users rely on.

Getting your first audit takes one step: open Feed Audits, choose Import Existing Feed, and paste your XML URL. That's it.

Because feeds are now part of the Free plan, the Query Coverage report is unlocked too, so you can see where your product data and your rankings don't line up.

AI Overview tracking is now live in Productrise. We now track every product mentioned or listed in the AI Overview on a search results page, right alongside the popular product carousels, deals, and other listings we have tracked for months.

Spot AI Overview opportunities from your Queries page

The Queries page now shows last-7-day SERP metrics for every tracked keyword, including a new AI Overview column next to your existing carousel stats. For each query you can see:

• L7D: how many SERPs we tracked in the last 7 days
• Carousels: coverage %, average carousel count, and top position for Popular Products carousels
• AI Overview: coverage % for SERPs where we tracked at least one enriched AI Overview product

Click any metric and you land in Product Rankings with the right query, date range, and SERP element type already applied. You can also sort your queries by how often an AI Overview appears at the top of the page, so you instantly see which keywords Google's generative results are already citing products for, and who is ranking inside them.

Why it matters

AI Overviews act as the bridge between regular search and AI Mode. The moment someone engages with an AI Overview, it expands and transitions them into AI Mode, where the products that rank can be completely different from traditional search. Knowing which queries trigger an AI Overview, and which products sit inside it, tells you exactly where to take action.

We have tracked and backfilled AI Overview data for the last 10 days, going back to 25 Aug 2026. If AI Overview data has been backfilled for your queries during this period, you might see a small change in your visibility data.

Want the full story on how we parse and enrich AI Overview products? Read the detailed blog post here.

The product position chart in Product Rankings is now easier to explore. Click any product on the SERP position tracker or scatter chart to lock it in view. Locked products stay highlighted while everything else fades, so you can follow specific products without the visual noise. Click a product again to unlock it, or click an empty area to clear all locks. You can lock multiple products at once.

The same works for sellers: click a seller bar to keep that seller highlighted. Hovering over seller bars now works together with locked products, so you can combine both when you're digging into what's happening.

We also improved how the report handles products where Google does not show a seller at all. This is rare, but it does happen. Those listings now show up clearly as Seller not shown instead of looking like missing data.

We fixed a bug that caused some daily query tracks to fail without warning when Google showed both a Popular Products carousel and a Product Knowledge Panel on the same SERP.

Between 21 and 28 August, affected queries could show missing days in position scores, share of voice, and knowledge panel data. This bug affected less than 0.5% of all tracked SERPs.

We've fixed the issue and backfilled the missing results, so your reports for that period are now complete.

The new Product Details report lets you zoom in on a single product and see exactly how it ranked and changed over time. Because everything is keyed on a consistent product identifier, the report follows one product's real history even as its seller, title, image, or price shift.

How it works

Pick a product from the unique products table in your rankings report and open its Product Details view. The product change tracking section then lays out, day by day, where the product ranked, who the main seller was, what the title looked like, its price, and its review and rating counts.

How you can use it

• Detect title rewrites directly, with word-level highlighting showing which words Google added or removed
• Track how price and the top-ranking seller move together over time
• Check whether your improved titles from a supplemental feed are making it into the search results
• Follow multi-seller dynamics to see who holds the number one slot and when that changes

It's the most detailed view yet into what's happening to an individual product across Google's surfaces.

The product positioning graph in the rankings report just got a major upgrade. Products are now tracked consistently over time, even when their main seller changes, their title gets reformatted, their image swaps, or their price moves.

Previously, we couldn't reliably connect the dots between the same product when its main seller changed. Google rotates the top-ranking seller on a product listing all the time, and a single product could end up looking like several different ones. That made the positioning graph harder to read.

What's better now

• A product stays a single tracked product even as its main seller rotates from day to day
• Title reformats no longer fragment a product's ranking history
• The graph now shows which seller held the top slot on each day, so you can see those changes play out clearly

The result is a positioning graph that follows a product's real ranking history instead of losing the thread every time Google reshuffles the presentation.

We've rebuilt the backbone of our per-product tracking around a stable identifier that Google exposes in its search result HTML, which we call data_docid. Previously, tracking relied on matching attributes like title and seller, which meant a single product could fragment into several records every time Google reformatted its title, rotated its main seller, or swapped its image.

What changed

Our infrastructure now reads Google's own internal product reference directly from the search result HTML and uses it as the primary key for detailed tracking. This is distinct from the product_id or GTIN you submit in Google Merchant Center; data_docid is generated on Google's side and describes how Google catalogs a product across its surfaces.

• data_docid is present on more than 99.9% of product listings in Popular Products carousels
• For the small remainder where it's missing, we fall back to our older title-plus-seller keying, so those products still get tracked
• The identifier stays consistent through title reformats and seller rotations, so a change reads as a change rather than a brand new product

Consistent across surfaces and countries

The same data_docid also appears on products in Google's AI Mode shopping results, as long as the listings are pulled from the Shopping Graph, which lets us link a product's organic carousel data to its AI Mode appearance. It's global rather than locale-specific too, so the same product can carry the same identifier across different countries.

When history begins

Identifier-based history starts on 09 August 2026, the date we improved our tracking infrastructure to read these identifiers. Detailed tracking doesn't reach back before that date.

Fixed a bug in the feed audit category accuracy check. Feeds that send their Google product category as a text path (like "Apparel & Accessories > Jewelry > Earrings") instead of a numeric ID were having every product flagged as a possible mismatch, even when the category was correct.

We now translate those text paths to their official Google category before comparing, so both formats are judged accurately. The comparison is based on Google's English (en-US) product taxonomy, which is the version we use as our reference.

It is worth knowing that Google publishes the same taxonomy in several language variants. Across those variants the text label of a category changes (for example, the English "Earrings" appears in its own translated form in each language), but the numerical category ID stays the same in every version. Because of this, feeds that provide the numeric ID are matched reliably regardless of language, while text paths are matched against the English labels.

Categories we cannot verify, usually because they are written in a language other than English, now get their own clearly worded warning rather than being counted as mismatches.

Productrise is nine months old, and it has been growing fast. Thousands of queries are tracked every day, and hundreds of thousands of products are audited and optimized through the platform. That growth is exciting, but it also puts real pressure on performance. Today we are rolling out a round of database optimizations that make some of your heaviest reports load dramatically faster.

A quick look under the hood

When I started building Productrise, I had one guiding rule: don't lock yourself into a database schema you will later regret. So the platform was built around compute-on-read. Any calculation the platform needed was done on demand, by the code or your browser, at the moment you loaded a report.

This approach has one big advantage: your databases stay clean of computed fields. A bloated database runs fine with light usage, but once you are storing millions of rows, that bloat compounds into a serious problem. Keeping things lean early on was the right call.

From compute-on-read to compute-on-write

Productrise has now entered the phase where the databases need to be optimized further for performance. So parts of the back-end now run on compute-on-write instead. Calculations happen the moment data is written to the database, and the results are stored in what are called roll-up tables.

When you open a dashboard, the page now reads precomputed data straight from these roll-up tables, rather than crunching every value from raw data while you wait.

What you will notice

The difference is especially clear on query group reports and the queries overview. Both run heavy computations in the background, calculating position scores across all SERPs for every query loaded on the page.

Loading a query groups report with six months of data across 100 queries used to mean staring at a loading screen for well over a minute. That wait is now gone.

To be fair, pulling that much data onto a single page still takes real resources, so please don't expect lightning speed on the very heaviest reports. :-)

From a technical standpoint, this marks the start of a new phase for Productrise, where a growing user base is matched by a growing infrastructure. There is more of this to come.

We've launched the Query Coverage report: a brand new report that combines your daily SERP tracking with your product feed audits, so you can finally see where your product data and your visibility don't line up.

Why this matters: Rank tracking and feed audits both give you useful data, but in separate silos they can't answer the question that actually matters: for the queries you care about, is your product data optimized, and are you ranking?

How it works: For every query you track, the report checks two things:

1. Are you ranking? Based on the last 7 days of SERP data, does at least one of your products appear in the organic shopping results?
2. Is your product data optimized? Based on your most recent feed audit, does at least one product contain the query words in both its title and its description?

Crossing those two questions sorts every tracked query into one of four groups:

• Performing well: You rank and your product data matches. No immediate attention needed.
• Ranking but unoptimized: You rank, but no product matches the query in title and description. Often the lowest-hanging fruit in the entire report: align your data and reinforce those rankings.
• Content ready, visibility gap: Your data is in order, but you're not visible yet. The gap likely sits in competition or other ranking signals.
• Priority fixes: No rankings and no matching product data. Start by fixing the data, then watch what happens to your visibility.

The report shows exactly what's missing per query (title, description, or both), and it updates every new day that your search results are tracked. From there, you can generate supplemental feed data for the flagged products directly in Productrise, closing the full loop inside one tool.

The Query Coverage report is live today on all paid plans. Read the full blog to learn more.

Google recently rolled out six new conversational attributes in the Merchant Center product data specification. They give AI surfaces like Gemini and AI Mode structured product data to pull from, helping your products get found for those long, specific shopping queries. As of today, you can generate them automatically with Productrise supplemental feeds.

Powered by the supplemental feeds you already know

This feature runs on the same smart infrastructure you expect from our supplemental feeds. For each product, Productrise scans your product feeds and existing data, crawls your product page, and uses our carefully tuned AI model to generate output that is ready to go.

And as always, you can customize the AI model to adhere to your own commands, like outputting in a specific language or following your content rules.

Launching with 2 of the 6 attributes

• question_and_answer (FAQ): The one most worth focusing on. Conversational shopping queries often contain very specific constraints ("is this waterproof", "does this fit a 15 inch laptop"), and structured Q&A pairs answer them directly. Productrise generates these for every product in your feed.
• document_link: Links to product documentation like manuals or assembly instructions, so AI agents can reference them when answering detailed questions.

The other four attributes are currently not something that can be generated using our AI methods. Questions about those? Shoot us an email at hello@productrise.app.

As of today, you can use supplemental feed generation to create Google product categories for your products. Yesterday we announced that our product category mapper engine is part of every product feed audit, flagging products with missing or mismatched categories. Now you can fix those products directly, without touching your main feed.

How it works

When you generate product categories, Productrise combines two systems to find the best match for each product:

1. The product category mapper: We take your product title (using your supplemental feed title if one exists, otherwise the original) and map it inside our network of all 5,595 Google product categories. This retrieves the top ten most closely aligned categories, even when your titles contain noise, typos, or wording that doesn't literally appear in Google's taxonomy. You can try this engine yourself with our public product category mapper tool.
2. An AI decision layer: The top ten candidates are passed to an AI model that decides which category truly fits the product. It doesn't blindly pick the number one match. When a product title contains a lot of noise, the closest match in the network isn't always the most accurate one, and the AI will select a lower-ranked candidate whenever that category better describes the actual product.

Built for scale

Matching thousands of products to the right categories by hand is not realistic. With this feature you can:

• Filter products flagged with a missing or mismatched category in your feed audit
• Generate a sample first to verify the results before committing
• Run the job for all selected products at once

The generated categories are added to your live supplemental feed as numeric google_product_category values from Google's official taxonomy. Push the supplemental feed URL to Google Merchant Center and it will overrule your main feed data, no changes to the original feed required.

Feed audits now check more than whether a product has a google_product_category. They also check whether that category is the right one.

Using our AI category mapper, Productrise compares each product's assigned category against the best match out of Google's roughly 5,595 categories and flags products where a more accurate option is likely available. In one feed we tested, 84 out of 200 products had no category at all, and another 81 had a category we flagged as a possible mismatch, including a handmade wool cat bed that had been filed under Pet Doors.

Flagged products can be exported to a spreadsheet so you can work through them at your own pace, no manual taxonomy digging required.

Most product feeds are full of holes. Even the feeds from big brands are missing attributes, carry weak titles, or contain duplicate descriptions. These gaps make it harder for Google to understand your products, which can quietly cost you visibility in organic shopping, AI Overviews, AI Mode, and even ChatGPT. We've improved the missing attributes feature inside supplemental feeds so you can close those gaps at scale, with full control over what the AI generates.

Why missing attributes matter

Attributes like color, pattern, size, and material are often optional in Google Merchant Center, so a lot of teams skip them. Your visibility won't come crashing down if you leave them empty. But these attributes feed the filters Google shows to searchers and help Google understand exactly what your product is. Add them up across a full catalog and they can make a real difference.

It's worth remembering that the product feed used to be the advertising team's job, because Merchant Center started life as a PPC platform. With free listings now driving so much organic and AI visibility, your feed has become an SEO responsibility too.

Generate missing data with full control

AI without context is dangerous. Give it no information about your products and it will happily invent values that are simply wrong. So the missing attributes feature pulls from your existing feed, your product pages, competitor data, and the audit we've already run, then generates values based on what is actually true about your products.

Select your products, choose an attribute, and you'll instantly see how many products already have a value and how many are missing. From there you can pick one of three modes:

• Fill in the gaps: only generate data for the products where the attribute is missing.
• Refresh AI-generated values: regenerate values you previously created in a supplemental feed.
• Override all existing values: replace everything, including data already in your main feed, for when the existing values just aren't good enough.

Sample it, then ship it

You can add custom instructions for the AI, such as forcing the output into a specific language, and generate a sample before committing to a full batch so you can review and fine-tune until you're happy. The supplemental feed layers on top of your main feed and only overrides values where you provide data, so everything else stays untouched. The improved missing attributes feature is available to every Productrise user on the Growth plan or higher, and a bunch of features are free to try, no credit card required. Got questions? Let us know.

Tracking hundreds of keywords makes it hard to know where your time is best spent. So we've added new columns to the queries overview that help you focus your feed optimization on the searches that matter most in Google's organic shopping.

Three new columns in your queries overview

In the queries overview where you manage your queries, you'll now find three new data points to help you prioritize:

• Carousel coverage – how often a product carousel appears for a query. A keyword showing one ninety-nine percent of the time is worth optimizing for; one that shows up sixteen percent of the time is not.
• Average number of carousels – how many product carousels typically appear, giving you a sense of how many ranking opportunities exist.
• Average top carousel position – where the highest-ranking carousel sits on the first page. High coverage plus a number one position means you can claim the very top of Google.

Spot the best opportunities at a glance

We've also added a star icon to your strongest keywords, awarded when coverage is above eighty percent and the top carousel consistently ranks in the top three or higher. Sort by the star and your most valuable opportunities rise straight to the top.

We are incredibly excited to announce the launch of the Productrise Customer API (v1)! You can now pull your aggregated Google Shopping SERP data directly into BigQuery, Looker Studio, dbt, Hex, or any reporting stack you love, no scraping required.

What you can do with the API

• List your properties and discover their slugs programmatically
• Pull top sellers by listing count for any date range
• Track total products observed in your tracked queries
• Measure share of voice based on your seller name
• Filter by query or query group, and split organic vs paid listings

Built for production workflows

Bearer token authentication, a consistent response envelope, clear error codes, and a generous rate limit of 120 requests per minute. The API is available on the Growth plan and above.

Getting started

1. Head to Profile → API Tokens and create your first token
2. Call GET /api/v1/properties to list everything you can access, then hit any of the metrics endpoints

Every endpoint, parameter, error code, and copy-paste example is documented in the full API reference: https://productrise.app/resources/api-reference

This is just v1. If you need per-property token scopes, async exports, webhooks, or OpenAPI/SDK support, send us a note at hello@productrise.app with your use case. Happy querying!

The dashboard was originally built before supplemental feeds, Merchant API connections, matched sellers, knowledge panels, sponsored product tracking, and many other features existed. It was overdue for a refresh.

The updated dashboard surfaces more of the data that matters, giving you a clearer picture of your feed health and performance across all your connected sources.

Getting to the right place is faster now. The new layout is structured around how you actually use Productrise today, not how it worked at launch. New filtering options let you cut through the noise and focus on what's relevant, whether that's a specific feed, seller, or product type.

This update is live for all users. If you have feedback on the new dashboard, we'd love to hear it.

If you do any local ecommerce SEO, your store location impacts organic shopping visibility more than you probably think. Google a keyword from New York City and the "in stores nearby" block shows stores close to New York. Run the same search from Tacoma, Washington, and the results can look completely different. If your physical store isn't near the searcher, you're invisible in that block.

Google has been pushing this harder since 2020, when COVID made local shopping a priority. In the US especially, you now see it on almost every product SERP. That's a problem if you're tracking rankings at the country level only, because national tracking can make locally dependent stores seem invisible.

As of today, city-level query tracking is available to all Productrise users. You could already track any country in the world. Now you can go deeper: track your queries from any location that matters to you, and see exactly how your products rank in that specific local SERP.

For a full breakdown of how "in stores nearby" results work and how to track them, read the full blog post here.

Google's Merchant Center UI leaves a lot to be desired. Getting a clear picture of whether your feed improvements or organic shopping optimizations are actually moving the needle has never been straightforward. That changes today.

Period-over-period comparison, right inside Productrise

The improved Merchant Center Analytics page now lets you drill down into your data and compare any period directly against the previous one. No more guessing whether your optimizations are working.

Here's what you can do

• Filter data for a specific group of products
• Select a custom date range
• See aggregated performance for your filters compared to the previous period

So if you optimized a certain group of products, you can isolate exactly that data, pick your date range, and get a clear before-and-after view. Reporting progress, made easier.

Not all products are equal when it comes to optimization potential. A product only sold by you gives you full influence over how Google understands it. A product sold by dozens of other sellers? That's a different story — and now you can actually see the difference.

As of March 19, 2026, Productrise tracks how often you're the sole seller of a product versus sharing a position with other sellers. This data shows up in both your Product Rankings reports and Query Groups, so you can prioritize your optimization efforts where they'll have the most impact.

Please note that multiple seller data is only tracked from March 19, 2026 onwards.

Log in and take a look at your competitive landscape — it might change how you approach feed optimization.

Understanding what makes a product title rank on Google just got a lot easier. The new Product Titles Report gives you a data-driven breakdown of the titles showing up in Google's product carousels for your tracked keywords — so you can optimize smarter.

What's included

Product Title Volatility

Track how much product titles change over time in the search results for your keyword groups. This is especially useful for:

• Monitoring whether Google has picked up your own title changes
• Spotting when competitors are actively testing new titles
• Understanding how quickly Google adapts to updates pushed via supplemental feeds

Product Title Insights

A scatter plot visualizing the top 100 most frequently used words across ranking product titles. The X axis shows how often a word appears, while the Y axis reflects the average position score of products featuring that word — helping you identify which words Google tends to reward for your specific keywords.

Read more about how to use this report in our blog post.

You can now use the Google Merchant API to track and audit your products directly from Google Merchant Center, with no XML feed required. Connect your GMC account to a property and Productrise reads your product catalog and runs the same feed audits you already use, with a few important extras.

What you get

• No XML needed. Use product data straight from Merchant Center. No feed URL to maintain, no middleman feed provider, no export or import steps.
• Same audits, same engine. Create a "GMC feed" in Productrise, pick the products you want, and run feed audits (including website checks and AI recommendations) on that snapshot. Re-auditing re-fetches from the API so you're always working with current data.
• Merchant Center Analytics inside Productrise. We've added a dedicated Merchant Center Analytics page. Once your GMC account is connected, you can view performance data (impressions, clicks, and more) right alongside your existing Productrise insights.

This is the start of a new phase for Productrise. We're building more on top of the Merchant API as it grows, especially with Google's Universal Commerce Protocol (UCP) rolling out, so you can optimize for organic and conversational commerce from one place.

How to get started

Merchant Center integration is available to all users on the Growth plan or higher. Only property owners can connect a GMC account to a property. Once connected, everyone with access to that property can view the Merchant Center Analytics page.

To connect, go to Properties, open a property you own, and click Connect GMC. Complete the Google sign-in and consent, then pick the Merchant Center account you want to link. After that, you can create GMC feeds and open Merchant Center Analytics straight away.

A note on transparency

We don't change your product data. Productrise only reads data via the Merchant API today. We do not create, update, or delete products in your Merchant Center. We ask for read and write scope so we can later offer optional features (such as applying Supplemental Feed optimizations via the API). Any write action will only ever happen with your explicit consent.

We don't store your GMC data long-term. We use short-term caching to keep the app fast, but we do not store or reuse your Merchant Center analytics data. It is loaded in your browser for the Analytics page only.

If you have questions or ideas, reach us at hello@productrise.app.

We've improved two feed-audit website checks so they work in tandem and give clearer, more actionable results. Structured Data Check validates that your product pages have valid JSON-LD with a Product schema and an offers object, which is exactly what Google recommends for Merchant Center and organic product visibility. If the check finds no structured data, invalid markup, or parse errors, it flags the product so you can fix the page. Price Match Check then uses that same structured data to compare the price (and currency) in your feed with the price in the page's JSON-LD, supporting both single offers and aggregate offers. If the data is missing or the price or currency doesn't match, you get a clear warning or critical issue.

Together they answer two key questions: "Is the product marked up correctly for Google?" (Structured Data) and "Does the price on the page match what we're sending in the feed?" (Price Match). Both checks share one parser, so when structured data is missing or broken, Structured Data Check reports it and Price Match Check correctly reports that it cannot compare. No double-parsing, no conflicting results.

Feed audits just got a meaningful upgrade across the board. Most notably, we have introduced a Feed Audit Score, a single 0-100% quality metric that gives you an at-a-glance view of how well your feed performed across all audit checks. The score is calculated by averaging results across every issue type, where critical issues count against you fully, warnings partially, and passed checks contribute the maximum. It appears in both the Feed Audit Stats card on your audit report and in the Score column of your Audit History table.

When you run a new audit on an imported feed, ProductRise now re-downloads your XML and syncs the latest product data before the audit kicks off, so you are always auditing what is actually in your feed right now, not a cached snapshot from weeks ago. Older audits remain unchanged, giving you an accurate historical record of how your feed looked at each point in time.

We have also introduced better handling for removed products. If a product was part of your original feed import but no longer appears in the XML at the time of an audit, it is marked as removed rather than deleted and excluded from product counts to keep your metrics clean. If it comes back in a future XML download, it is automatically reactivated and updated. You will also now see a "Removed from Feed" count in the Feed Audit Stats section of your audit report (when applicable), with a tooltip explaining what it means.

On the reliability side, if the XML download or sync runs into trouble, the audit will not fail outright. It will fall back to your existing feed data and note the issue in the report. We have also removed a locking mechanism that could block future audits from running if a previous job was stuck or unexpectedly killed, so you should see fewer cases where audits get stuck in a pending state.

We've been working on a big update behind the scenes. It's mostly administrative and a bit boring for most users, but it unlocks something important: flexible scaling.

Some Productrise users have needs that go beyond our regular plans. For example, an agency managing a single client with a 100,000-product feed couldn't do that with our Lite, Growth, or Agency subscriptions. The limits just weren't designed for it.

That changes today. Add-ons are now available to all paid users. You can pick and choose the exact capacity you need—more properties, more queries, more products per feed audit—and scale up or down as you onboard new clients or projects. No more being locked into a plan that's either too small or pays for capacity you don't use.

Need the details? We've documented everything about how add-ons work, pricing, and compatibility on our subscription add-ons resource page.

You're tracking product carousels, optimizing feeds, and watching competitors. But when someone searches for a specific product like "Garmin Vivoactive 6 Smartwatch," Google often shows a Product Knowledge Panel instead of a regular carousel.

These panels display detailed product information, seller options, prices, reviews, and specifications. Until now, tracking them meant manual checking or hoping your analytics would catch the traffic. Not anymore.

What you can now track

Productrise automatically tracks Product Knowledge Panels for all your queries, giving you visibility into:

• Which sellers appear in the panel for your products
• Price positioning across competing sellers
• Review scores and availability status
• How often panels appear vs. regular carousels

This means you can finally see how Google presents your specific products and which sellers dominate when buyers search with product-specific intent. Read the full article to learn more about Product Knowledge Panels and why they matter for your organic visibility.

Productrise is built to scale with you. This includes multi-tenancy and multi-property account sharing across your team. This was already possible, but as of today, it's better, more customizable and easier.

Property owners decide who gets access. You can choose between 3 options:

• No access at all
• Read only access
• Read & Write access

What's the difference here?

Users that have only received "Read only" access for a property will not be able to:

• Add, edit or remove queries
• Create, import, edit or remove product feeds
• Create new feed audits
• Generate supplemental feeds

"Read only" users are still able to:

• View all the same pages that the property owner can view
• Export all the data from the pages (queries, feed audits, supplemental feeds)

Some things that are good to know

• Users must always accept their invitation before they can access properties. If you haven't received the invitation email, check the email address used, and make sure to check spam folders!
• For property owners: your subscription plan determines the amount of "team seats" you can share. One seat represents a user account (email address). You can share access to 10 properties to a single user account, and it will not take up additional seats.
• The property owner determines the features you can access. If you received access to a property and the property owner is on the 'Lite' plan, you will only be able to access 'Lite' features for that property. Even if you are on the 'Agency' plan. If you want to enjoy 'Agency' features, you will have to create that property on your own account.
• Only property owners can invite users to their properties. A user who has been given access to a property can not share access to that property to someone else.
• The property owner can always revoke access. The other user will not be notified via email. This will NOT impact any of the queries, feeds, audits or supplemental feeds the shared user created during his period of access.

Small but helpful update. If you have a feed audit with thousands of products, it's good to know what issues are most critical.

Productrise now summarizes your feed issues in 3 tables:

• Critical issues: these are your top priority
• Warnings: May or may not be important
• Passed checks: These are just for your information

You can expand these sections to learn more. Why do we flag certain issues? How can you fix them? Then scroll down to the Products table and filter by issue. Or export all your products to a sheet, where each issue and severity is turned into a separate sheet.

We've shipped one of our most requested features: supplemental feeds. You can now fix feed issues, add missing attributes, and optimize product data without ever touching your primary feed source.

The challenge was clear: feed audits reveal critical issues that hurt organic visibility, but fixing them in your primary feed means getting access to the source, running into bureaucracy, asking client permissions, dealing with those evil colleagues from the advertising teams. That friction stopped many optimizations from ever happening.

What you can do now

After running a feed audit in Productrise, generate a supplemental feed that:

• Overrides or adds product data on top of your primary feed in Google Merchant Center
• Fills gaps like missing descriptions, attributes, or product types
• Optimizes existing data for target keywords
• Works as a layer without modifying your original source

This means you can implement feed optimizations immediately without waiting for development cycles, PIM updates, or stakeholder approvals. The supplemental feed merges with your primary data in Google Merchant Center, giving you complete, optimized product information where it matters most.

How it works

The entire process is automated. Run your feed audit, review the issues we found, and generate a supplemental feed based on those findings. Upload it to Google Merchant Center, and you're done. No manual data manipulation, no complex spreadsheets, no technical implementation required.

Start fixing feed issues today without touching your primary source. Read the full announcement to learn more.

We've added automatic seller name matching to help you quickly identify your own store's data across all insight reports. Your seller is now automatically highlighted with a 🎯 indicator in all tables and charts.

When viewing Product Rankings, Sellers, Competitors, or Query Groups, Productrise matches your property's seller name (or domain if no seller name is set) against all sellers in the SERP results. The system uses both exact and fuzzy matching (85%+ similarity) to find your store, even when seller names vary slightly.

If we find a close match but aren't certain, a modal will ask you to confirm with one click—updating your seller name and improving report accuracy. Once matched, your seller is automatically preselected in filters, making it easier to track your performance at a glance.

As of today, users can compare performance statistics of ranking sellers over time. This applies to the Product Rankings and the Query Groups Insights pages.

Based on the date period you select, Productrise will automatically show change statistics based on the previous period. For example, if your selected date period was day 14 to 20 of the month, the performance statistics will be compared to the days 7 to 13 of the month.

This allows you to see growth and decreases per seller for a single query (Product Position report) and for entire query groups (Query Groups report).

In addition, the Query Groups report also shows a daily Share of Voice graph over time, which further allows you to see changing visibility trends across your active queries.

Happy tracking!

Fixed a bug that caused some queries to be tracked multiple times per day, creating duplicate SERP results and affecting report accuracy. We've cleaned up all historical duplicates and implemented safeguards to prevent this from happening again. Your reports now show accurate, non-duplicated data.

From now on, all product audits will check 2 additional things:

1. Main image resolution
If the resolution of the main image is below 1024 x 1024 pixels, then the audit will flag the product. This is in line with Google's recommendations. Images are a big part of the online shelfspace, and higher quality images can lead to significant jumps in visibility over time.

Note that both the width and the height of the image must be higher than 1024. An image of 800 x 1600 pixels will still fail this check.

2. Image aspect ratio
While Google accepts images of different aspect ratios, it's generally advised to add only square images to your feed (1:1). Otherwise, Google might crop images to fit them inside the search results, or not use them at all.

This can be an issue when, for example, your product is not centered on the image. Then, when Google shows it in the search results, it's cropped to 1:1 and the subject of the image is not centered anymore.

Whenever the image aspect ratio is not 1:1, this audit check will flag a warning.

Google typically shows multiple product carousels on the first page of search results—one at the top and several at the bottom. Now you can filter the Query Group report to focus on specific product carousels.

Why this matters:
Products ranking in the top carousel get significantly more visibility than those appearing in carousels at the bottom of the page. With this new filter, you can isolate performance data for the carousels that matter most to your strategy.

How it works:
Select which product carousels you want to analyze (for example, only the top 2 carousels). All metrics on the page—including sellers, products, counts, and position scores—update automatically to reflect only the selected carousels.

This gives you a clearer picture of where your products are actually performing in high-visibility positions.

We've added joy plots (also known as ridgeline plots) to the Competitor Insights page. These visualizations make it easy to understand competitor positioning at a glance by showing distribution patterns for key metrics.

What you can now see:
Joy plots display distribution patterns for prices, discounts, and review scores across all tracked competitors. Since you're tracking hundreds of queries daily—meaning hundreds of sellers and thousands of product listings—these visualizations help you quickly understand the competitive landscape without diving into raw data.

How it works:
The plots are fully interactive. Sort by any column on the Competitor Insights page, and the joy plots update instantly to show how competitors are positioned. This makes it easy to identify whether competitors are positioned as budget or premium, how aggressive their discounting strategies are, and how their review scores compare.

Joy plots turn complex datasets into intuitive, beautiful visualizations that reveal patterns in seconds.

Fixed a bug that affected ~0.1% of all tracked queries, where the product position wasn't calculated properly. Unfortunately, we're unable to backfill the correct data for any previous queries, but from now on, all product positions should be 100% accurate.

Just audited a feed of 5,000 products? You can now export it to a sheet (.xlsx)! These are really useful for sharing audit data around with clients, colleagues, freelancers or agency partners.

Our audit runs multiple website and feed checks (currently 20 and counting!). Each one is stored in a separate tab. Each product that you added in your feed is checked and the outcome is one of these:

• Critical: Something should be fixed
• Warning: Something might need to be fixed, but it also might be okay
• Info: Your product passed the check, but we still store it for your information

The feed auditexports only contain products that have either a 'Critlcal' or 'Warning' status.