Full
Spectrum.
She's reading over your shoulder.
And she's not being rude about it.
Three pillars of context. One complete picture.
Behavioral
What they're doing
"Back-and-forth clicking between two units..."
Emotional
What they're feeling
"...suggests comparison anxiety..."
Content
What they're seeing
"...between the 2024 Cougar and 2023 Wildwood."
"Looks like you're narrowing it down between the Cougar and the Wildwood. The Cougar's got 200 lbs more cargo capacity, but the Wildwood's 3 feet shorter. Depends on your storage situation. Want me to show you how the decision stacks up?"
Behavioral + Emotional + Content = Contextually perfect response
Same behavior. Different awareness.
Without content awareness, Seer had to guess. Now she knows.
User on tow guide page, scrolling through tables
"I don't have access to a specific tow guide database right now, but I know the fundamentals that matter for matching you with the right trailer."
Blind to the actual data on the page.
User on tow guide page, scrolling through tables
"I see you're looking at the 3/4-ton capacity range. Got a specific truck in mind? I can tell you exactly which trailers on our lot you can safely pull."
Sees the table. Knows the context. Specific help.
User clicking between two inventory pages
"Looking at a few options? Let me know if you have any questions!"
Generic. Doesn't know what they're comparing.
User clicking between two inventory pages
"The Cougar's got 200 lbs more cargo capacity but the Wildwood's 3 feet shorter. Depends on your storage situation. Which matters more?"
Knows both units. Specific tradeoff analysis.
User dwelling on financing calculator
"Financing questions? Our team can help you figure out the best options."
Refers elsewhere. Can't engage with content.
User dwelling on financing calculator
"At $42,999 with 20% down, you're looking at around $340/month. Want me to run different scenarios?"
Reads the price. Does the math. Offers value.
What Seer sees on the page
Real-time content extraction. No source code required.
What page they're viewing
"2024 Keystone Cougar 29BHS - Prosser's Premium RV"
Section structure and navigation
"Specifications | Features | Tow Guide | Financing"
Specs, comparisons, tow guides
"Half-ton: 5,000-12,000 lbs | 3/4-ton: 12,000-17,000 lbs"
JSON-LD product/vehicle schema
"Product: Keystone Cougar | Price: $42,999 | Brand: Keystone"
Content near viewport
"This floorplan features a rear kitchen with..."
Page descriptions and keywords
"Shop our selection of travel trailers under 30 feet"
Zero integration required
Seer reads the visible page in the browser, in real-time. The same widget that reads a buyer's behavior also reads what is on the page in front of them.
No access to your CMS. No API integration. No source code.
The widget reads what the visitor reads. Tables, headings, product specs, pricing. Anything on the page becomes context for Seer's responses.
When you update your website, Seer's context updates automatically. She sees what's there, not what was there last time you ran an import.
How Seer does that is proprietary to SentientIQ. The method is ours alone.
"The salesperson every dealer dreams of hiring, but knows doesn't exist."
She never has a bad day. Never forgets her training. Never goes on break.
She reads the room in real-time. Knows exactly what they're looking at. Remembers every word of the conversation.
She stays within her authority. Adapts her approach based on emotional signals. Gets smarter with every interaction.
And now she can see.
Full Spectrum awareness is powered by SentientIQ's proprietary emotional-intelligence function: the same read that senses a buyer's emotional state also gives Seer what is on the page in front of them. The method is ours alone.
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