How is this different from a real estate marketing agency?

A real estate marketing agency briefs, drafts and reports on a retainer. PingAura runs the same workflow through an AI Coworker that audits your listing, agent and neighbourhood pages, drafts 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.

Do you cover estate agent SEO for UK agencies, or only realtor SEO for the US market?

Both, on the same workflow. UK estate agencies get estate agent SEO with local schema and content conventions, and US brokerages and individual realtors get realtor SEO built around how American buyers phrase a property search. The visibility tracking, schema and attribution pipeline are identical either side of the Atlantic.

Which AI platforms do you track for property 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 agency or your listings.

Does this work for property management companies as well as brokerages?

Yes. Property management runs on the same workflow, with schema and content built for tenant-facing pages, HOA information and community pages rather than listings, and its own prompt set built around what renters and owners ask AI assistants.

How do you stop AI recommending a listing that already sold or an agent who left?

The coworker monitors how AI surfaces describe your listings and agent roster, and flags a regression, such as a sold property still being cited or an agent no longer at your brokerage, so a correction can ship before a buyer acts on it.

Real Estate

AEO for real estate marketing teams, handled by an AI Coworker that builds listing and neighbourhood schema, tracks how AI names agents and agencies, and ties visibility to booked enquiries.

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Real Estate handled by the PingAura AI Coworker

The Strategy

Who is this for?

PingAura runs real estate SEO for brokerages, individual agents and property managers whose buyers now go to AI assistants for neighbourhood comparisons and agent recommendations, a shift no portal ranking or listing-site presence reflects. UK estate agencies get the same programme under estate agent SEO: the AI Coworker builds listing and neighbourhood schema, drafts and reviews content, and reports on which AI surfaces already mention your agency, 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.

Realtor SEO and brokerage marketing handled end to end by an AI Coworker, replacing the agency retainer and the ranking-only report

Visibility, position and sentiment in property and neighbourhood queries across ChatGPT, Perplexity, Gemini, Claude and AI Overviews

Listing and neighbourhood schema applied across property, agent and market pages, kept current as listings sell or expire

Property management content and schema on the same workflow, covering tenant-facing pages alongside listings and agent profiles

Attribution from AI visibility signals through to enquiries and viewings booked

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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 buyers find your competitors when they ask AI for a neighbourhood comparison?

Buyers increasingly describe what they want in a move to ChatGPT or Gemini before they open a portal search. When those assistants compare neighbourhoods or name an agency in the area, you have no way of knowing whether you are one of them.

Is AI recommending an agent who left, or a listing that already sold?

An AI assistant working from an old agent bio or a stale listing page can send a buyer chasing a property that is under contract or a realtor who moved brokerages months ago, and nothing tells you it happened until the buyer calls confused.

Is your marketing report tracking portal rank while buyers ask AI instead?

Traditional real estate SEO reports on Google positions for listing and area pages. Those reports say nothing about whether the assistants buyers actually consult recommend your agents or agency, so the spend keeps going while the channel shifts underneath it.

How it works

Connect your brokerage

Add your brand, offices, agent roster, listing feed and up to five competing agencies. The AI Coworker builds the prompt set from how buyers actually describe a move, not from keyword exports.

Track how AI answers property questions about you

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 listing, agent and neighbourhood 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 booked enquiries

AI-sourced sessions tie through GA4 and Search Console to viewing requests and contact-form completions, so the programme reports on buyer pipeline rather than citation counts.

What your buyers ask AI assistants

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

Which neighbourhoods in Austin are best for families with young children?
Who are the top-rated estate agents in Manchester for first-time buyers?
What's a fair asking price for a 3-bed semi in this postcode?
Should I use a listing agent or sell directly, and what does each cost?
Which suburbs near Denver have the best school ratings and shortest commute downtown?
Is it a buyer's or a seller's market in Miami right now?
What questions should I ask a property manager before renting through them?

Powerful visibility tools

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

Listing and neighbourhood schema

RealEstateListing, Neighborhood and Place structured data applied across property, agent and market pages, which is what AI surfaces read when they name an agency or a suburb.

Multi-market coverage

Visibility tracked per city or market, so a brokerage with several offices can see which markets are cited and where a specific office is missing from AI recommendations.

Agent profile optimisation

Individual agent bios, licences and specialisms surfaced accurately, so an AI assistant recommending a realtor by name is recommending the right one at the right brokerage.

Listing freshness monitoring

Flags when AI is still citing a listing that sold or an agent who has left the brokerage, so a correction can ship before a buyer acts on stale information.

Property management content

Tenant, HOA and community content for property management runs on the same workflow as listings and agent pages, audited and shipped like everything else the coworker produces.

Attribution to enquiries

AI-sourced traffic connected through GA4 and Search Console to viewing requests, contact-form completions and leads.

Common questions

How is this different from a real estate marketing agency?: A real estate marketing agency briefs, drafts and reports on a retainer. PingAura runs the same workflow through an AI Coworker that audits your listing, agent and neighbourhood pages, drafts 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.
Do you cover estate agent SEO for UK agencies, or only realtor SEO for the US market?: Both, on the same workflow. UK estate agencies get estate agent SEO with local schema and content conventions, and US brokerages and individual realtors get realtor SEO built around how American buyers phrase a property search. The visibility tracking, schema and attribution pipeline are identical either side of the Atlantic.
Which AI platforms do you track for property 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 agency or your listings.
Does this work for property management companies as well as brokerages?: Yes. Property management runs on the same workflow, with schema and content built for tenant-facing pages, HOA information and community pages rather than listings, and its own prompt set built around what renters and owners ask AI assistants.
How do you stop AI recommending a listing that already sold or an agent who left?: The coworker monitors how AI surfaces describe your listings and agent roster, and flags a regression, such as a sold property still being cited or an agent no longer at your brokerage, so a correction can ship before a buyer acts on it.