How is this different from a game marketing agency?

A game marketing agency briefs, drafts and reports on a retainer. PingAura runs the same workflow through an AI Coworker that audits your store, guide and wiki-style pages, drafts grounded content, applies schema and reports on attribution, with your team reviewing the output instead of briefing it. One provider replaces the dashboard, the agency and the content team.

Which AI platforms do you track for gaming queries?

ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, Google AI Mode, DeepSeek and Grok. Visibility, position and sentiment are logged per prompt with the full response text, so you can read exactly what was said about your title.

Do you cover esports marketing as well as title marketing?

Yes, on the same workflow. Esports marketing covers how AI assistants describe your organisation, rosters and tournament results, alongside the title-level tracking that covers game recommendations, comparisons and guides. Both run through the same prompt sets, schema and attribution pipeline.

How do you stop AI recommending a competitor's guide when a player is stuck?

The coworker audits your guide, walkthrough and wiki-style pages and ships schema and structured-data changes that make them more citable than a fan wiki or a competitor's page, with every change queued for your review before it goes live. Where a gap exists, it drafts the missing guide content rather than leaving it to be filled by someone else.

Does gaming SEO work differently for a free-to-play title versus a premium release?

The prompt sets differ; the workflow does not. Free-to-play titles get prompts built around build guides, tier lists and monetisation questions, while premium releases get prompts built around purchase decisions and comparisons. Both run through the same schema, content and attribution pipeline.

Gaming

AEO for game studios and publishers, handled by an AI Coworker that builds title and review schema, tracks how AI recommends and reviews your games, and ties visibility to wishlists and store page visits.

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Gaming handled by the PingAura AI Coworker

The Strategy

Who is this for?

PingAura replaces the game marketing agency retainer for studios, publishers and esports organisations whose players now ask AI assistants for recommendations, comparisons and guides before they check a storefront. The AI Coworker runs video game marketing and gaming SEO end to end, from title and review schema through grounded guide content to esports marketing coverage and attribution, with your team reviewing rather than briefing.

Built for the future of Search Engine Optimization.

Stop guessing how AI models perceive your brand. Get direct insights into the citations and mentions driving your traffic.

Video game marketing and gaming SEO handled end to end by an AI Coworker, not a retainer and a monthly report

Visibility, position and sentiment in game recommendation and comparison queries across ChatGPT, Perplexity, Gemini, Claude and AI Overviews

Title, review and patch-note schema applied across store, guide and wiki-style pages, so AI surfaces cite your text over a fan wiki

Esports marketing and tournament content on the same workflow, from roster news to match results

Attribution from AI visibility signals through to wishlist adds, store page visits and pre-order page traffic

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Elleven Media Case Study

“PingAura completely changed how we think about SEO. We're now optimizing for how AI reads us, and our share of voice in ChatGPT search results has tripled in 2 months.”

AI citation growth

12+

AI engines tracked

Read the full story

The challenge

Do players find your competitors when they ask AI for a game recommendation?

Players increasingly ask ChatGPT or Gemini what to play next before they open a storefront. When those assistants recommend a genre or name a specific title, you have no way of knowing whether your game is one of them, or what they say about it.

Is AI sending a stuck player to a rival's guide instead of yours?

A player stuck on a boss fight or a crafting recipe asks an AI assistant, not a wiki. If the assistant pulls its answer from a fan wiki or a competitor page rather than your own guide content, you lose the player at the exact moment they were most engaged.

Is your marketing report tracking store ranking while players ask AI whether the game is worth buying?

Traditional gaming SEO reports on App Store or Steam page position. Those reports say nothing about whether the assistants players actually consult recommend your title over a rival, so spend keeps going while the channel shifts underneath it.

How it works

Connect your studio

Add your brand, titles, platforms and up to five competing games. The AI Coworker builds the prompt set from how players actually ask for recommendations and guides, not from keyword exports.

Track how AI answers questions about your titles

Visibility, position and sentiment across ChatGPT, Perplexity, Gemini, Claude, AI Overviews and Google AI Mode, logged per prompt with the full response text so your team can check what was said.

Fix the pages the answers are drawn from

The coworker audits store, guide, wiki-style and patch-note pages, then ships the schema and structured-data updates that make them citable, with every change queued for your review before it goes live.

Connect visibility to wishlists and store page visits

AI-sourced sessions tie through GA4 and Search Console to wishlist adds, store page visits and conversions, so the programme reports on player pipeline rather than citation counts.

What your buyers ask AI assistants

Gaming prompts the AI Coworker tracks across ChatGPT, Perplexity, Gemini, Claude, AI Overviews and Google AI Mode.

What are the best co-op games for two players on Switch?
Is this game worth buying at full price or should I wait for a sale?
What is the best starting build for a solo playthrough?
How does this game compare to other roguelikes on Steam right now?
What should I upgrade first in the early hours of this game?
Is the multiplayer still active enough to be worth buying in 2026?
What are the minimum and recommended specs to run this on PC?

Powerful visibility tools

Everything you need to master the shift from traditional search engines to AI-driven discovery.

Title and review schema

VideoGame, Review and AggregateRating structured data applied across store, guide and patch-note pages, which is what AI surfaces read when they recommend or compare a title.

Cross-platform coverage

Visibility tracked per platform, so a studio shipping to PC, console and mobile can see where a title is recommended and where it is missing from AI answers.

Patch and build accuracy monitoring

Flags when an AI surface is still citing an outdated patch note, nerfed build or removed feature, so a correction can ship before players act on stale advice.

Esports and tournament content

Esports marketing content for rosters, tournament results and organisation news runs on the same workflow as title pages, audited and shipped like everything else the coworker produces.

Guide and walkthrough content

Grounded guide and walkthrough content drafted for the questions players actually ask when they get stuck, built to be cited ahead of a fan wiki rather than after it.

Attribution to wishlists and store page visits

AI-sourced traffic connected through GA4 and Search Console to wishlist adds, store page visits and pre-order page traffic.

Common questions

How is this different from a game marketing agency?: A game marketing agency briefs, drafts and reports on a retainer. PingAura runs the same workflow through an AI Coworker that audits your store, guide and wiki-style pages, drafts grounded content, applies schema and reports on attribution, with your team reviewing the output instead of briefing it. One provider replaces the dashboard, the agency and the content team.
Which AI platforms do you track for gaming queries?: ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, Google AI Mode, DeepSeek and Grok. Visibility, position and sentiment are logged per prompt with the full response text, so you can read exactly what was said about your title.
Do you cover esports marketing as well as title marketing?: Yes, on the same workflow. Esports marketing covers how AI assistants describe your organisation, rosters and tournament results, alongside the title-level tracking that covers game recommendations, comparisons and guides. Both run through the same prompt sets, schema and attribution pipeline.
How do you stop AI recommending a competitor's guide when a player is stuck?: The coworker audits your guide, walkthrough and wiki-style pages and ships schema and structured-data changes that make them more citable than a fan wiki or a competitor's page, with every change queued for your review before it goes live. Where a gap exists, it drafts the missing guide content rather than leaving it to be filled by someone else.
Does gaming SEO work differently for a free-to-play title versus a premium release?: The prompt sets differ; the workflow does not. Free-to-play titles get prompts built around build guides, tier lists and monetisation questions, while premium releases get prompts built around purchase decisions and comparisons. Both run through the same schema, content and attribution pipeline.