See how AI
talks about you.
Polyvalent scores your brand inside the answers ChatGPT, Gemini, Claude and Perplexity hand to your customers — and shows you exactly how to be the one they recommend.
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Inside the scan
How Polyvalent
reads the room.
We replay the way your customers actually ask questions today — through chat — and measure who the model recommends, in what tone, and on what evidence. Then we tell you what to fix to flip the answer in your favour.
Four lenses, one clear picture.
Brand Recall Index across LLMs
Run hundreds of buyer-style prompts through every major model and score how often your name surfaces — versus the rivals quietly winning the conversation.
Machine-Readability Audit
We inspect your pages the way a crawler does: schema coverage, entity clarity, llms.txt hygiene, and the structural cues that make AI confident enough to quote you.
Off-Site Signal Mapping
Forums, review sites, podcasts and threads shape what AI 'remembers'. We map the sentiment around your brand in the places models actually learn from.
Rival Conversation Audit
See which competitors AI defaults to, why models prefer them, and the precise narrative or proof gaps you need to close to take their slot.
Why it matters now
The answer layer
ate the click.
Buyers increasingly stop at the AI summary. If your brand isn't inside that summary, you don't lose the ranking — you lose the consideration set entirely.
Coverage
Every assistant
your buyer asks.
We don't just watch one model. Polyvalent sweeps the assistants, copilots and AI overviews where modern decisions actually start — then stitches it into one signal.
One score that reflects how every major assistant treats you.
Drill into the exact questions where you win, lose or get ignored.
What we deliver
From diagnosis
to dominance.
A connected stack of services that move you from "occasionally mentioned" to "the brand AI defaults to" in your category.
Visibility Diagnostics
A baseline scan of where you appear, where you don't, and which prompts your category lives or dies on across every major model.
Generative Engine Optimization
We restructure pages, sources and proof so AI summarizers naturally pull your wording into their answers.
Answer-First Content
Question-led, evidence-backed content blocks designed to be lifted verbatim by assistants and voice search.
Knowledge Graph Engineering
Wikipedia, Wikidata, schema and entity links — we tie your brand into the open web that LLMs are trained on.
Crawler-Ready Infrastructure
llms.txt, JSON-LD, semantic HTML and clean rendering so AI bots can ingest your site without friction.
Authority & Trust Building
Earned mentions on the publications, communities and review surfaces that models weight heaviest.
Continuous Visibility Tracking
Weekly model sweeps, sentiment movement, and prompt-level alerts when your share of voice shifts.
Advisory & Enablement
Workshops and playbooks that get your in-house marketing and content teams writing for both humans and machines.
Position one
used to win.
Now it's invisible.
When the answer arrives pre-written, nobody scrolls. The brand named in the paragraph is the brand that gets the call.
Ask any assistant "who's the best provider for X?" and you'll get three names — not ten links. Polyvalent's job is to make sure one of those names is yours.
Stop optimizing for crawlers.
Start optimizing for conversations.
Mindset shift
Two eras, side by side.
The old game was about pleasing a ranking algorithm. The new one is about teaching a model to trust you.
Common questions
What teams ask us first.
Find out where you stand.
Tell us about your brand and we'll send back a snapshot of how today's AI assistants describe you.