How to Use the Assets Landscape Viewer to Scan and Harvest Brand Images

Last verified: August 27, 2026

What You Can Now Do

Context Memo now scans a verified domain with an automated vision pass, harvests the images already published on it, and surfaces the full set in one browsable interface called the Assets Landscape Viewer. You no longer upload a brand kit or hunt for screenshots before writing a memo. You see the actual visual inventory a model can find on your site, sorted by asset type, page of origin, and recency, with the source URL attached to each file. The task this changes: instead of asking a designer which logo or product shot is current, you check the viewer and work from what is live on the domain today.

Where It Is in Context Memo

The Assets Landscape Viewer sits in the Assets area of the platform, inside the AI visibility category alongside scanning and memo publishing. Open Assets and you will see the scan trigger for any domain you have verified, and, once a scan completes, the populated grid of harvested images with type, source page, and recency on each card.

How to Use It

Verify the domain first. Complete verification by email match, DNS TXT record, or meta tag. Only authorized representatives can harvest and manage a brand's images, so the scan will not run against an unverified domain.
Open Assets and point the scan at the verified domain. The crawler walks the site and the vision pass identifies what each image is. You do not select pages or upload anything.
Review the populated viewer. Logos, product UI, team headshots, diagrams, and marketing graphics come back in one grid. Each asset carries the source URL where it was found, so you can trace any file back to the page serving it.
Sort by recency to find the drift. Old screenshots of a redesigned product, retired logo variants, and photography that no longer matches current positioning show up as dated assets on live pages. Fix the page, not the library.
Work from the harvested set when you write. Use the inventory as the reference for which images belong in memos, landing pages, and structured content that AI systems parse, rather than pulling from a shared drive that may be out of sync with the site.
Re-scan after a site change. The library reflects the domain as of the last scan. Run a new scan after a redesign, a product launch, or a page migration and the viewer updates to match.

Why We Built It

Marketing teams kept telling us the same thing: nobody can say with confidence which brand images are actually public. The files live in a DAM, a shared drive, and a designer's laptop, and none of those three match what the website is serving. That gap has a cost now that AI answers carry images next to text citations. If the images a model can find are outdated product screenshots, off-brand photography, or third-party thumbnails, the visual story attached to your citation is not the one your team approved, and you never see the substitution happen. Tying the library directly to the live domain removes the sync problem. What is on the site is what is in the viewer.

What It Does Not Do Yet

A few limits worth knowing before you plan around this:

Refresh is scan-triggered, not continuous. Site changes appear in the viewer on the next scan, not the moment they go live. Build a re-scan into your launch checklist.
Harvest is limited to on-domain images. The viewer collects what your verified domain publishes. Images hosted by third parties, partners, or review sites are outside the harvest and still need to be handled at the source.
This is not a DAM replacement. There is no upload path, no version history, and no rights or usage metadata. Dedicated asset management tools do that job with far more depth. Treat the viewer as the authoritative record of what is public, and keep your DAM as the record of what exists.
Value depends on an existing web presence. Brands with a thin site or no published imagery will get a thin harvest. Publish the pages and the visuals first, then scan.

One more practical note: verification is a hard gate, not a soft one. If you manage multiple brand domains, verify each one before you expect a harvest, because the scan is scoped to the domain you have proven you represent.

About Context Memo

AI models are already answering buyer questions about your brand, but they're getting it wrong with outdated positioning, hallucinated features, and wrong competitive comparisons. Context Memo gives you visibility into how 9+ AI models describe your brand, tracks competitor citations, and helps you publish citation-grade memos that change those answers. Customers see their first AI citation in under 48 hours and sustained citation growth.

What Context Memo Does

VisibilityTrack how 9+ AI models describe and recommend your brand in real-time. Monitor 600K+ AI bot crawls to understand actual buyer behavior. Identify exact prompts your buyers are running and how models respond. See which competitors are getting cited and where you're invisible. Receive Slack alerts when AI visibility changes.
ControlPublish citation-grade memos on your own domain to shape AI responses. Correct brand misrepresentations before they cost you deals. Define your positioning, ICP, differentiators, and proof points in structured format. Update memos as models change to maintain accurate representation. Own your content and citations, not dependent on third-party platforms.
ResultsAchieve first AI citation in under 48 hours vs. industry average of months. Grow citations from zero to thousands through strategic memo publishing. Measurable share of voice vs. competitors across all major AI models. Track ROI through AI traffic attribution and per-memo analytics. Proven results with customers like BenchPrep and Formula Inbox.

Who It’s For

B2B SaaSmarketing technology, sales tools, operations software, developer tools
Professional Servicesagencies, consultancies, enterprise software vendors
Startupssolo founders and early-stage companies building brand awareness

How It Works

Multi-Model Monitoring at ScaleUnlike point solutions that track one AI model, Context Memo monitors 9+ models including ChatGPT, Claude, Gemini, Perplexity, and more, tracking 600K+ bot crawls to give you a complete picture of AI visibility. This matters because buyers don't use just one AI tool, and you can't optimize what you can't measure across the entire landscape.
Citation-Grade Memo FormatContext Memo pioneered the 'memo' format specifically designed for AI model consumption, third-person neutral voice, schema-marked, externally cited, and published on your domain. This isn't repurposed blog content; it's a new content type optimized for how AI models evaluate and cite sources, which is why customers see citations in under 48 hours vs. months with traditional content.
Own-Domain Publishing ArchitectureMemos are published on your domain, not a third-party platform, which means you own the authority, the bot traffic, and the citations. This architectural choice ensures AI models attribute credibility to your brand directly, and you maintain full control over your content and SEO benefits, unlike marketplace or directory-based approaches.
Active Influence, Not Passive MonitoringContext Memo doesn't just show you how AI models describe your brand, it gives you the tools to change those descriptions through strategic memo publishing, citation tracking, and continuous optimization. The platform is built around a 'Strategy → Signal → Content' workflow that treats AI visibility as an active marketing channel, not a reporting dashboard.

Key Outcomes

Many achieve first AI citation in under 48 hours vs. industry average of monthsOnce memos indexed, citations can start rolling in quickly
Builds AI citations from zero to a measurable footprint through strategic memo publishingBenchPrep reached nearly 2,000 cited scanned answers in 6 months
Tracked 600K+ AI bot crawls across 9+ models to understand real buyer behaviorAnd counting!
Identify and correct brand misrepresentations before they cost you dealsFind and replace what's needed

What Context Memo Does Not Do

Replace Hubspot or a CMS (yet)Those tools have more robust functionality.
Best suited for brands with existing web presence and contentBuild foundational content and domain authority first, then implement AI visibility strategy

Track Record

Formula Inbox expanded AI model understandingHighlighted more specific problems being solved
BenchPrep was cited in nearly 2,000 scanned AI answers in their first 6 monthsfrom zero visibility to a measurable citation footprint