How is this different from a SaaS SEO agency?

A SaaS SEO agency briefs, drafts and reports on a retainer. PingAura runs the same workflow through an AI Coworker that audits your product, pricing and comparison 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.

How do you stop AI citing an old price or a feature we removed?

The coworker monitors how AI surfaces describe your pricing tiers and feature set, and flags a regression, such as a discontinued plan still being quoted, so a correction can ship before a prospect acts on outdated information.

Which AI platforms do you track for software-recommendation 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 product.

Does this work for a multi-product platform?

Yes. Visibility is tracked per product line rather than as a single company-wide figure, so a platform with several SKUs can see which products are cited and where a specific product is missing from AI recommendations.

Can it handle comparison and 'alternatives to' content without sounding like an advert?

Yes. Comparison content is grounded and cites its sources, and it runs through your review queue before publication, so it reads as an honest comparison rather than a sales page, which is also what makes it more likely to be cited by an AI surface in the first place.

SaaS & Technology

AEO for SaaS marketing teams, handled by an AI Coworker that tracks visibility in software-recommendation queries, builds product and pricing schema, and ties visibility to trial signups.

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SaaS & Technology handled by the PingAura AI Coworker

The Strategy

Who is this for?

PingAura replaces the SaaS SEO agency retainer for software companies and technology platforms whose buyers now ask AI assistants which tool to use before they open a pricing page. B2B SaaS SEO agency and SaaS marketing agency work run on the same programme: the AI Coworker handles software-recommendation visibility, product and pricing schema, comparison content 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.

SaaS SEO agency work handled end to end by an AI Coworker, not a retainer and a monthly ranking report

Visibility, position and sentiment in software-recommendation and comparison queries across ChatGPT, Perplexity, Gemini, Claude, AI Overviews, Google AI Mode, DeepSeek and Grok

SaaS marketing agency and B2B SaaS SEO agency work on the same workflow, including schema for product and pricing pages

Comparison and alternative-page content drafted and reviewed, so "alternatives to X" queries cite your product rather than a competitor's

Attribution from AI visibility signals through to trial signups and pipeline, via GA4 and Search Console

“

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 buyers find your competitors when they ask AI which SaaS tool to use?

Buyers increasingly ask ChatGPT or Gemini "what is the best tool for X" before they open a comparison site. When those assistants name a shortlist, you have no way of knowing whether you are on it, or what they say about your product.

Is AI citing a price or feature your product no longer has?

An AI assistant working from an old pricing page or a retired feature list can quote a plan you discontinued or a limit you raised months ago, and nothing tells you it happened until a prospect asks why the numbers do not match.

Is your SaaS SEO agency reporting on rankings while buyers ask AI instead?

Traditional SaaS SEO reports on Google positions for product and comparison pages. Those reports say nothing about whether the assistants buyers actually consult recommend your product over a competitor, so the spend keeps going while the channel shifts underneath it.

How it works

Connect your product

Add your brand, product lines, pricing tiers and up to five competing tools. The AI Coworker builds the prompt set from how buyers actually ask for software recommendations, not from keyword exports.

Track how AI answers software questions about you

Visibility, position and sentiment across ChatGPT, Perplexity, Gemini, Claude, AI Overviews, Google AI Mode, DeepSeek and Grok, 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 product, pricing and comparison 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 trial signups

AI-sourced sessions tie through GA4 and Search Console to trial signups and demo requests, so the programme reports on pipeline rather than citation counts.

What your buyers ask AI assistants

SaaS & Technology prompts the AI Coworker tracks across ChatGPT, Perplexity, Gemini, Claude, AI Overviews, Google AI Mode, DeepSeek and Grok.

What's the best project management tool for a 20-person remote team?
How does this product compare to its closest competitor for enterprise SSO?
Is there a free tier, and what does it actually include?
Which CRM integrates natively with HubSpot and Slack?
What do reviewers say about this product's customer support?
Is this SaaS tool SOC 2 compliant, and where is their trust page?
What's the cheapest plan that includes API access?

Powerful visibility tools

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

Product and pricing schema

SoftwareApplication, Product and Offer structured data applied across product and pricing pages, which is what AI surfaces read when they compare tools on price or feature set.

Comparison and alternatives content

Grounded content built for "X vs Y" and "alternatives to Y" queries, drafted and reviewed so your product is represented accurately in the comparisons AI already runs.

Multi-product coverage

Visibility tracked per product line, so a platform with several SKUs can see which products are cited and which are missing from AI recommendations.

Pricing and feature accuracy monitoring

Flags when an AI surface is still citing a discontinued plan, an old limit or a removed feature, so a correction can ship before a prospect acts on stale information.

Technical and API documentation content

Developer-facing docs and integration pages run on the same workflow as marketing content, audited and shipped so technical buyers find accurate answers too.

Attribution to trial signups

AI-sourced traffic connected through GA4 and Search Console to trial signups, demo requests and pipeline.

Common questions

How is this different from a SaaS SEO agency?: A SaaS SEO agency briefs, drafts and reports on a retainer. PingAura runs the same workflow through an AI Coworker that audits your product, pricing and comparison 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.
How do you stop AI citing an old price or a feature we removed?: The coworker monitors how AI surfaces describe your pricing tiers and feature set, and flags a regression, such as a discontinued plan still being quoted, so a correction can ship before a prospect acts on outdated information.
Which AI platforms do you track for software-recommendation 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 product.
Does this work for a multi-product platform?: Yes. Visibility is tracked per product line rather than as a single company-wide figure, so a platform with several SKUs can see which products are cited and where a specific product is missing from AI recommendations.
Can it handle comparison and 'alternatives to' content without sounding like an advert?: Yes. Comparison content is grounded and cites its sources, and it runs through your review queue before publication, so it reads as an honest comparison rather than a sales page, which is also what makes it more likely to be cited by an AI surface in the first place.