What is podium iq?

Research-grade AI visibility intelligence, built to execute

Analysis without paralysis. Every insight traces to a prompt, an answer and a citation you can open. Thousands of prompts, five models, and what to do about it.

How we measure what matters

Some AI visibility tools sample a handful of queries across a few models and call it intelligence. podium iq runs thousands of queries across five major AI models simultaneously. This reveals the difference between a signal and a pattern you should act upon.

A fractional podium iq pod that fuses human brand understanding with machine accuracy to boost your brand’s presence in AI models.

Cross-Model Coverage

Five models measured in parallel: ChatGPT, Claude, Gemini, Perplexity and xAl. Each responds differently based on training and context. You get the full picture not a single-model snapshot.

Full-Funnel Query Architecture

Every prompt is specified across seven dimensions before it's deployed, including funnel stage. Being invisible at awareness and losing at comparison are different problems. This architecture tells you which one you have.

Branded, unbranded, and comparison queries mapped to funnel stage. Where you're invisible at awareness and where you're losing at comparisons are different problems. podium iq tells you which is which.

Web Search Isolation

Web search on and off mode separates what models know from what they retrieve. Two distinct visibility problems. Two distinct content responses.

Scale That Separates Patterns From Noise

Every query runs thousands of times across all five models. Scale separates a repeatable pattern from a one-time result. That's what makes the intelligence worth acting on.

Query Design Grounded in Real Search Behaviour

Queries are built from what your audience has already proven they search. Rigorously defined synthetic prompts combined with PAA and SERP analysis to surface natural language patterns.

Queries are built from what your audience has already proven they search. Synthetic prompts, PAA data and SERP analysis combined, so the question set reflects real language rather than assumed language.

Third-Party Source Intelligence

Al models cite third-party platforms more often than brand-owned content. Podium iq maps third-party visibility by query cluster, tracks sentiment, and identifies which conversations are shaping AI answers about your brand.

Al models cite third-party platforms more often than brand-owned content. podium iq maps third-party visibility by query cluster, tracks sentiment, and identifies which conversations are shaping AI answers about your brand.

Execution Model

The platform tells you where you're invisible. The Share of Model Pod makes you visible.

The SOM Pod model translates prioritized recommendations into published, measurable citation authority.

Two weeks to operational versus four to six months coordinating across departments. Strategy, content, and technical implementation happen within a single sprint.

Sprint Cycle

Configure

Battlecard

Review

Sprint

Planning

Brief

Content

Team

Develop

Content

Publish

Monitor

GVI

Monitor

Visibility Lift

+
Citation

Velocity

Repeat from step 2 each sprint

Built around your capacity, not a fixed model.

The SOM Pod scales with your team. Two variables determine your configuration: the roles you need and how often the pod delivers. Everything else is scoped to your goals.

A fractional podium iq pod that fuses human brand understanding with machine accuracy to boost your brand’s presence in AI models.

Variable 1 – The roles you need

Variable 1 - The roles you need

Strategy only

Visibility intelligence + prioritized battlecards. Your team executes.

Strategy + Content

Full brief-to-draft production included. Your team publishes.

Strategy + Content + Technical

Insights, content roadmap, content briefs, copywriting, schema and structured data delivered end to end.

Variable 2 – The sprint pace

Variable 2 - The sprint pace

Monthly sprint

One sprint cycle per month. Steady progress, lower intensity.

Bi-weekly sprint

Two sprint cycles per month. Faster iteration and GVI movement.

Weekly sprint

Maximum velocity. Built for teams with aggressive category targets.

Configuration is scoped during onboarding based on your team structure and goals.

attention with podium iq.

Predict attention with podium iq.

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