Key takeaways
- Buyers and sellers now ask ChatGPT, Gemini, and Perplexity who the best agent or brokerage is in a given area. A GEO tool shows whether your brokerage is one of the names that come back.
- Tracking alone is not enough. Pick a platform that also shows where AI gets its answers and helps you fix gaps, such as Promptwatch, or pair a cheaper tracker with a local listings tool.
- Brokerages have a problem most SaaS companies do not: dozens of agents, many neighborhoods, and per-market prompts. Count your prompts and markets before you pick a tier.
- None of the vendor sources I found documents real-estate-specific features like MLS or IDX handling. Ask vendors directly.
- Local data hygiene (Google Business Profile, listings, reviews) still decides a lot of what AI says about you. Pair a GEO tool with a listings and reviews tool.
What GEO means for a brokerage
GEO (generative engine optimization) is the work of getting your brokerage named and cited inside AI answers. For real estate that means prompts like "best brokerage in Austin for first-time buyers" or "who should I list my home with in Scottsdale." The answer is two or three names and a handful of cited sources. If you are not one of them, the lead never reaches your site.
The demand side is real. A First Page Sage roundup cites realtor.com research saying 82% of Americans use AI for housing market information and property shopping. That is a secondhand figure from a page that also ranks its own agency first, so treat it as directional. Still, the behavior is easy to confirm yourself. Ask ChatGPT who the top agents are in your zip code and see what comes back.
The National Association of Realtors has also started covering this directly in its piece on finding your GEO to land your next referral from AI.
What a brokerage should look for in a GEO tool
A generic checklist (does it track ChatGPT, Perplexity, Gemini, AI Overviews) is the starting point. For a brokerage I would add these:
- Location-specific prompts. You need to track "best brokerage in [city]" across many cities or neighborhoods, in the engines that answer local queries.
- Competitor tracking. Other brokerages, franchises, and portals like Zillow and Redfin show up in the same answers.
- Citation data. Knowing which pages AI cites tells you whether the source is your site, a portal, a review site, or a local news piece.
- Sentiment and claims. Reviews and reputation language feed directly into what AI says about you.
- Team seats and projects. A brokerage with several offices or brands needs more than one seat and ideally more than one project.
- An action layer. Reports are cheap. The scarce thing is someone, or something, writing the pages and fixing the gaps.
The research I pulled flagged the same pitfalls repeatedly: entry tiers are often limited (one vendor's starter plan covers ChatGPT only), each language or market counts as separate prompts, and none of the vendors publishes an accuracy score. A brokerage with ten markets can burn through a 50-prompt plan in an afternoon.
What AI actually cites for "best brokerage" prompts
Before buying anything, it helps to know what kind of content wins. Promptwatch Data looked at which content types ChatGPT cites (Sep 28 to Oct 4, 2026) in its report on ChatGPT citation share by content type. The findings translate cleanly to real estate:
- Product pages are 22.4% of classified citations and landing pages 16.8%. So about 39% of citations go to pages that describe what a company sells.
- For commercial prompts, which is where "best agent in X" lives, product pages take 26.0%, landing pages 20.6%, and listicles 15.0%. Comparisons add 7.9%.
- For branded prompts like "is [brokerage] good," reviews rise to 5.6%, more than three times their overall share, and FAQ pages reach 4.8%.
For a brokerage, "product page" means your service pages: buyer representation, seller services, relocation, new construction, each by market. Thin pages that say "we serve the greater metro area" do not compete. Complete, factual pages per market do. Roundups ("best real estate agents in Denver") matter too, which means getting into the lists AI already cites.
Social is a smaller piece than people assume, and it varies by engine. In Promptwatch's social media citations by AI model report for Sep 28 to Oct 4, 2026, social platforms were only 0.46% of ChatGPT citations, while Google AI Overviews took 12.2% from social, with YouTube at 4.28% and Facebook at 2.38%. If your market skews toward Google, video tours and complete public Facebook and Instagram profiles matter more than a Reddit strategy. ChatGPT's Reddit share also collapsed in August 2026, covered in Promptwatch's Reddit citations data.
Best GEO tools for real estate brokerages
Promptwatch
Promptwatch is the one I would put first for a brokerage that wants to do something about its visibility, not just watch it. It tracks how ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, AI Mode, Copilot and others mention and cite you, then traces where those answers come from: which of your pages get cited, which third-party pages name you without linking, which YouTube videos and Reddit threads AI leans on.
Three things matter for brokerages. First, local targeting: monitors can be pinned to exact coordinates so ChatGPT, AI Overviews, and AI Mode answer as if asked from that spot, and state and city tracking is available on the Business plan and above. Second, the Content Agent writes and publishes pages against your gaps to WordPress, Webflow, or Framer, which is how most brokerage sites run. Third, IP-verified AI crawler logs show whether bots can even read your IDX-heavy pages, which is a common failure point on listing-driven sites.
Pricing starts at Essential ($95/mo, 50 prompts), Professional ($245/mo, 150 prompts, 2 projects), and Business ($579/mo, 350 prompts, 5 projects, Content Agent, local targeting). Agency plans start at $199/mo if you manage this for several brokerages. Confirm current numbers at promptwatch.com/pricing. You can also run the free AI visibility report first to see how the engines describe you today.
Profound
Profound is the heavyweight enterprise option. It raised a large round in 2026 and its entry tier is cheap on paper (reported at $99, ChatGPT only), with the Growth plan reported at $399 to $499 depending on the source, so check the live page. Enterprise contracts are reported in the tens of thousands per year. It makes sense for a national franchise organization with a procurement process. For a single brokerage the entry tier is too limited and the next tier up is a jump. See Promptwatch vs Profound for a head-to-head.
Otterly.AI
Otterly.AI is the budget tracker. Per Otterly's own pricing, Lite is $29 and Standard is $189 for 100 prompts, tracked daily across ChatGPT, AI Overviews, Perplexity, and Copilot, with AI Mode, Gemini, and Claude as paid add-ons. Good for a small independent brokerage that only wants to know where it stands. It tracks what is happening and does not help you fix it, so you will need a content process of your own.
Peec AI
Peec AI is another clean monitoring tool. One source lists 50 prompts across three models at about 95 for the entry plan, while another notes the pricing page published no amounts, so ask for a quote. Its pricing scales with prompts, models, and frequency, which is worth modeling before you commit.
Scrunch
Scrunch sits in the mid to upper range, around $300 a month ($250 on annual billing), with $25 per extra seat. It has an action layer beyond tracking, which is useful, but the seat fees add up if every office manager wants a login.
Semrush
If your brokerage already lives in Semrush for SEO, its AI toolkit is the path of least resistance. Pricing is reported at $99 for 25 prompts on one plan and $199 per domain on another, with extra domains and users at $99. The trade-off is that it is an SEO suite with AI tracking added on, so the AI-specific depth is thinner.
AthenaHQ
AthenaHQ tracks across a large set of AI engines and bundles an action layer. Reported pricing is around $295 for a credit-based plan. A reasonable middle option if you want recommendations and are comfortable with credit accounting.
Goodie AI
Goodie AI starts around $295 and emphasizes revenue attribution, which is useful if your leadership wants to see leads, not mentions.
Pricing comparison
The table mixes vendor-reported and third-party figures. Several sources disagree, so treat it as a starting point and verify on each pricing page.
| Tool | Entry price (approx.) | About 100 prompts | Notes |
|---|---|---|---|
| Promptwatch | $95 (50 prompts) | $245 (Professional, 150 prompts) | Content Agent and local targeting on Business ($579) |
| Otterly.AI | $29 (15 prompts) | $189 | Tracking only, extra engines are add-ons |
| Peec AI | about $95 (50 prompts) | about $245 | Sources disagree, ask for a quote |
| Profound | $99 (ChatGPT only) | $399 to $499 | Enterprise contracts much higher |
| Scrunch | $300 ($250 annual) | $300 | $25 per extra seat |
| Semrush | $99 (25 prompts) | $219 | Extra domains and users $99 each |
| AthenaHQ | about $295 | credit-based | Verify credits per plan |
One note on sources: much of this pricing comes from Otterly's own comparison page, a vendor with a stake in the answer. That is why I would not decide on price alone.
Local data and reputation tools that feed AI answers
A GEO platform tells you what AI says. These tools change the inputs. Brokerages are local businesses with many agent profiles, and engines lean heavily on consistent business data and reviews.
A caveat on the numbers floating around: one agency page claims Google Business Profile is 32% of local ranking and reviews 20%, and that 74% of businesses get excluded over mismatched name, address, or phone. That is vendor marketing and I could not verify it. The direction is sensible, though. Mismatched data across directories makes it harder for any engine to trust you.
- Yext and Synup manage listings across directories so your name, address, and phone match everywhere.
- BrightLocal is a local SEO platform that works for both agencies and in-house teams, with rank tracking and citation audits.
- Birdeye and Reputation.com handle review requests and monitoring, which matters because reviews rise to 5.6% of citations on branded prompts.
- Schema App handles structured data, so your offices, agents, and service areas are machine readable.
- Google Search Console is free and shows which pages already earn impressions, which is a good list of pages to improve first.
| Need | Tool type | Examples |
|---|---|---|
| See what AI says about the brokerage | GEO platform | Promptwatch, Otterly.AI, Peec AI |
| Fix content gaps | Content agent or GEO suite | Promptwatch, Profound, AthenaHQ |
| Keep listings consistent | Listings management | Yext, Synup |
| Get and manage reviews | Reputation platform | Birdeye, Reputation.com |
| Make offices and agents machine readable | Structured data | Schema App |
| Local rank checks | Local SEO | BrightLocal |
How to choose by brokerage size
Solo agent or small team
Start with the free AI visibility report from Promptwatch, then pick Otterly.AI or a Promptwatch Essential plan. Spend the rest on your Google Business Profile and getting reviews. At this size the content is the lever, not the dashboard.
Regional brokerage with several offices
This is where prompt counts get painful. Ten markets times a few prompt variants each is easily 150 prompts or more. Promptwatch Professional or Business, or a mid-tier tool like Scrunch, fits. Business is worth a look if you want local targeting at exact coordinates and the Content Agent publishing market pages for you.
Franchise or national brand
This is where enterprise platforms like Profound make sense, along with enterprise reputation and listings tools. Expect procurement conversations and ask about security certifications. Promptwatch is ISO/IEC 27001 certified and GDPR compliant, which tends to clear security review faster.
Agencies managing brokerages
If you serve several brokerages, look at agency plans with unlimited projects and seats. Promptwatch's agency plans start at Kick-off ($199/mo), and there is an agencies page that explains the setup.
A simple 30-day setup
- Write 30 to 50 prompts that a real buyer or seller would ask, per market. Include branded ("is [brokerage] good"), commercial ("best brokerage in [city]"), and competitor comparison versions.
- Run them across the engines and note who is named, in what order, and with what citations.
- List the cited sources that are not you: portals, local news, listicles, review sites. Those are your outreach targets.
- Audit your own pages. Each market needs a complete service page with real specifics: neighborhoods, recent sales, process, fees, agents, an FAQ.
- Check crawler access. If AI bots cannot read your site, nothing else matters. A crawler log or a free check like the Agentic Readiness Check takes minutes.
- Fix listings and review gaps with a listings and reviews tool.
- Re-run the prompts monthly and see what moved.
For more tools beyond this list, the GEO software directory is a good place to browse.
Should you hire an agency instead?
Some brokerages will not have the time. Several agencies now sell real estate GEO, and you will find ranked lists of them. Read those with care: the First Page Sage list ranks First Page Sage first, and the BulletProof list ranks BulletProof first. Both are self-published. If you want outside help, ask any agency for before-and-after prompt data in your market and what tools they use to measure it. 1001 SEO Media is one option for AI search and GEO work, and it uses Promptwatch for tracking, so reporting is transparent. Whoever you pick, avoid long lock-in contracts and make sure you keep access to the data.
What I would do
If I ran a regional brokerage today, I would start with the free report, then trial a platform that tracks local prompts and helps write the pages, and layer a listings and reviews tool on top. Monitoring alone tells you you are missing from "best brokerage in [city]" answers. It does not put you there. The pages, the reviews, and the consistent local data do.
Prices and plan limits change quickly in this category, so check each vendor's pricing page before you commit, and ask whether MLS or IDX content is handled, since none of the sources I found documented it.