AI Perception Intelligence

What exactly is ChatGPT saying about you?

Your customers no longer ask Google, they ask AI. We show you what 8 leading AI models are saying about your brand, where they learned it, and how that story is shifting over time.

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8
AI models
40+
Perception metrics
Weekly
Time series
ChatGPT · Gemini · Claude · Perplexity · Copilot · Grok · AI Overviews · AI Mode

Let's keep it simple

Customers used to Google a brand. Today, more and more people ask ChatGPT, Gemini, or Perplexity instead. Those models generate an answer about your brand, and if you don't know how that answer is built, your brand's reputation in the AI world is being shaped without you.

Strajist tracks those answers every week. We show you, in a clean dashboard, what each model says, which web page it learned it from, and how the answer changes over time.

Concrete ExampleIllustrative scenario · using Notion

A user asked ChatGPT: "What is Notion good for?"

The same prompt, asked twice. Watch how the answer shifts, this is exactly what perception drift looks like.

Before, JanuaryChatGPT

"Notion is a powerful all-in-one workspace for team wikis, project management, and document collaboration. It stands out as a strong alternative to Atlassian Confluence."

After, AprilChatGPT

"Notion is a popular note-taking app. It's good for individuals; for larger teams, alternatives like ClickUp or Coda are recommended more often."

What happened?

  • →Positioning shrank: from "all-in-one workspace" down to "note-taking app".
  • →Audience shrank: from "teams" down to "individual users".
  • →Competitor set flipped: ClickUp and Coda recommended instead of Confluence.

Strajist catches exactly this. We ask the same prompt to all 8 AI models every week, compare the answers, and show you which source (a Reddit thread, a press piece, a review) triggered the shift.

Note: the answers above are illustrative scenarios designed to show perception drift, not live ChatGPT outputs.

At a glance

What perception intelligence is, isn't, replaces, and complements.

It is
  • • An analytics layer for wording, framing, and sentiment in AI answers
  • • Traces the sources (URLs, press, reviews) feeding each description
  • • A weekly time series across 8 models
  • • Decision data for brand, comms, IR, product marketing
It is not
  • • Just a mention counter (that's visibility)
  • • Making content extractable by AI (that's AEO / GEO)
  • • A quarterly PDF report
  • • A classic sentiment poll or brand-tracking survey
Replaces
  • • Manual ChatGPT / Gemini query spreadsheets
  • • Quarterly brand-perception PDFs
  • • The 'what does AI say about us?' guesswork
Complements
  • • Classic SEO and rank tracking
  • • AEO / GEO content production
  • • PR / comms measurement
  • • Competitive and market intelligence

Four layers of the same funnel

Four often-confused concepts. They don't replace each other, they stack.

AEO / GEO

Win the mention

Get content extracted and the brand named inside generated answers.

Visibility

Count the frequency

Measure how often and in what position AI mentions you.

Perception Intelligence

Decode the meaning

Explain what is said, how it is framed, and which sources taught the model.

AI Perception Score

Surface the belief

Strategic questioning that reads the model's deep belief about your brand.

The Four Pillars of Perception Intelligence

Strajist's perception layer is built on four pillars. All four run on the same 8 AI models and the same prompt set.

Perception Drift

Track how the wording models use to describe your brand changes week over week. Catch positioning erosion before it shows up in a sales call.

What it measures

Week-over-week change in wording, framing, and recommended alternatives

Read in depth

Source Attribution

See exactly which web pages, press articles, reviews, and structured sources feed each model's description of your brand. Fix at the source.

What it measures

Which URLs, press, reviews, and structured sources feed each AI description

Read in depth

Competitive Mind Share

Compare how AI frames you versus the competitor set on identical prompts. Who is named first, who is called the leader, who is treated as the alternative.

What it measures

Order, leader vs alternative framing, and recommendation strength vs your competitor set

Read in depth

AI Perception Score

Strajist's signature layer. Strategic questions about your brand asked to all 8 AI models in depth, positioning, pricing, target customer, weaknesses, to surface the deep model belief, not just the surface mention.

What it measures

Deep model belief on positioning, pricing, target customer, weaknesses

Read in depth

What is AI saying about you right now? Find out in 2 minutes.

Free scan: test your brand on 8 AI models and get an instant first perception report.

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How we actually do this

Nothing complicated. Five clear steps, the same way for every brand, so the scores stay comparable.

01

Fixed prompt set across 8 AI models

ChatGPT, Gemini, AI Overviews, AI Mode, Copilot, Perplexity, Claude, Grok, all asked the same questions.

02

40+ perception metrics

Factual accuracy, positioning match, category framing, sentiment, competitor proximity, source quality, and more.

03

Weekly time series

Weekly trend, not quarterly noise. Perception drift is caught in week one.

04

Attribution down to the source

Every description is tagged with the URL, publication, or structured source it came from.

05

AI Perception Score deep questioning

Strategic questions beyond surface prompts: 'What is this brand's real differentiator?', 'Who is it for and who is it not for?'.

The 5-step playbook

How to turn perception data into action.

  1. 1

    Establish the baseline

    Scan your brand + 3-5 competitors across 8 models on the same prompt set. Which description, which order, which sources?

  2. 2

    Watch for drift signals

    Watch weekly deltas: positioning shrinking, audience changing, a new competitor name surfacing.

  3. 3

    Trace it to the source

    Find the trigger: Reddit thread, press piece, outdated review, missing structured data.

  4. 4

    Fix at the source

    Update outdated content, send a press briefing, add structured data on source pages, correct review platforms when needed.

  5. 5

    Verify in the next scan

    See the change in the next weekly time series. Same prompt, same 8 models, comparable score.

Who Uses It

Brand & Comms

Pain

How the brand is framed in AI is invisible; you only learn it during a sales call.

Outcome

Framing and sentiment shifts tracked weekly, brand tracking for the AI era.

Product Marketing

Pain

It's unclear how positioning lands in models; messaging gaps quietly slip into AI answers.

Outcome

Messaging alignment across 8 models, close gaps through concrete prompts.

Investor Relations

Pain

Analysts and capital now ask AI; the story the model tells may not match yours.

Outcome

Bring AI's narrative about you, with sources, alongside the investor deck.

C-Suite

Pain

The board asks 'how does AI describe us?' and the answer is a pile of screenshots.

Outcome

One slide: 8 models × brand vs competitor; a comparable, weekly-updated score.

Frequently Asked Questions

What is AI Perception Intelligence?
AI Perception Intelligence is the discipline of measuring how AI models describe, categorize, and contextualize a brand, and understanding the sources and signals that shape those descriptions. It goes one layer deeper than visibility tracking: visibility counts mentions, perception decodes what is being said and why.
How is it different from AEO, GEO, and AI visibility tracking?
AEO and GEO optimize for being extracted or named. Visibility tracking counts how often that happens. Perception intelligence is the analytics layer that explains the wording, framing, sentiment, source attribution, and competitive positioning behind every mention, so brand and comms teams can act on the meaning, not just the count.
Which AI models does Strajist track for perception?
ChatGPT, Google Gemini, Google AI Overviews, Google AI Mode, Microsoft Copilot, Perplexity, Anthropic Claude, and xAI Grok. Each model is queried on the same prompt set so perception can be compared across them.
How is perception measured?
Each model response is scored across 40+ perception metrics covering factual accuracy, positioning match, sentiment, category framing, competitor proximity, and source citations. Scores are tracked over time so perception drift is visible week by week, not quarter by quarter.
Can perception intelligence track competitors?
Yes. Competitive Mind Share compares how AI models describe your brand versus a defined competitor set on identical prompts, including which brand is named first, which is framed as the category leader, and which sources back each description.
Which teams use perception intelligence?
Brand, communications, product marketing, investor relations, and executive teams. Anyone responsible for how the brand is described, to customers, analysts, press, or capital markets, uses perception data the same way they use share-of-voice or brand-tracking studies.

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