Image Enhancer

Image Enhancer evaluates and rewrites product imagery across four named pillars: Feature Sentiment Mapping, Mobile Glanceability, Competitive Benchmarking, and AI Creative Brief. The output is a per-image score plus a creative brief written against the personas drawn from your reviews.

The four pillars

Product photography drives more citation impact in AI shopping than most teams expect. ChatGPT Shopping shows product images in the answer carousel; Perplexity Shopping displays the first product image alongside the cited source; Rufus reads A+ content blocks where images are the primary signal.

Feature Sentiment Mapping

Reviews tell you which features your customers care about. Imagery should make those features visible. Feature Sentiment Mapping cross-references your review corpus (clustered via Personas) with the visual content of each image.

For each image, the pillar produces two outputs. First, a list of features the image makes salient (e.g. "compact size," "single-button operation," "matte black finish"). Second, a list of features your reviews emphasise that the image does not. The gap is the work.

Mobile Glanceability

A product image on a mobile thumbnail is roughly 200x200 px. Mobile Glanceability scores whether the image's primary message survives that crop. Three factors:

• Subject size — does the product fill at least 60% of the frame at the smaller crop?
• Contrast — is the subject clearly distinguishable from background?
• Text legibility — if there is text in the image, can it be read at 200x200?

The output is a 0-100 score plus a thumbnail preview so you can see what the engine actually shows.

Competitive Benchmarking

Side-by-side panel. Your image on the left; the top-three competitor SKU images in the same category on the right. The competitor SKUs come from your tracked competitor list (Settings → Competitors). Where you do not have a tracked list, eCommerce Insights auto-selects from category data.

The panel flags ways the image undersells relative to the competitor set: angle coverage (do you show the product from fewer angles than competitors), lifestyle shots (do you have only catalogue shots while competitors mix in lifestyle), and labelled-spec overlays (a common pattern in air purifiers and small appliances).

AI Creative Brief

The pillar that closes the loop. Given the gaps surfaced by the first three pillars, eCommerce Insights writes a creative brief in plain language — the same brief a brand manager would write for a photographer or a generative tool. The brief is written against the top three personas in your review corpus.

Example output (illustrative):

Persona A (new apartment dweller) does not see the size context in the current hero shot. Re-shoot or composite with a 12x12 ft room footprint reference. Add a top-down silhouette overlaying the standard 200 sq ft room outline. Match palette to the current product page colour treatment.

Persona link

Image Enhancer reads personas, not raw reviews. If Personas are not set up, the brief uses a neutral D2C frame. With Personas configured, the brief becomes meaningfully more specific because the language used in the brief matches the language your customers use in reviews. See Personas for setup.

What you get back

Per image, six fields.

Feature salience list

Features the image makes prominent, ranked.

Feature gap list

High-mention review features the image does not surface.

Glanceability score

0-100 with thumbnail preview.

Competitive panel

Top-three competitor images with diff annotations.

Creative brief

Plain-language brief, persona-aware.

Bulk export

CSV of every image's score and brief, useful for batching to an agency.

Common questions