Inserviss LabsWhat you’ll see
Your console, from day one
Opportunities, overnight work, traffic, new clients — one live view.
Opportunities your agents found
Ranked by how fast you can win them
"Best luxury agent in [neighborhood]"
Nobody cited yet · ~110 asks/month · exactly your market
"Top commercial broker for [asset type] in [market]"
High value · a competing agent is named instead · winnable in ~3 weeks
"Agent with the most closings in [zip code]"
Nobody cited yet · ~70 asks/month · matches your sales history
"[Agent] years in business" — nothing published, so AI can’t cite it
Your track record lives on a flyer an AI model will never read
"Best agent for [neighborhood]" — cited, but a competitor is named first
You’ve closed more deals here this year
Just paste your website or business name — no forms, no design work
AI Visibility Score
One number. Every engine. Never blended.
0–100 for whether AI names your business and cites the evidence — consistent facts, review counts, years in business, sales volume. Toggle three months forward.
Illustrative — a sample real estate business
0F
Named by AI · How often assistants name the business for “[type] in [area]” at all0
Vs. competitors · Share of the answer next to the big-name teams and the portals0
Facts correct · Whether name, role, brokerage and service area match everywhere0
Listed where AI looks · Google Business Profile and your own site — where ~98% of citations come from0
Site AI can read · Whether review counts, years in business and sales volume are structured content, not images0
Where the business stands, engine by engine — never blended
Google AI Overviewsthe default for “best agent in [city]”Not cited
ChatGPTwhere a buyer or seller narrows to a few agentsNot cited
Perplexitywhere clients check reviews and sales historyNot cited
GeminiNot cited
Microsoft CopilotNot cited
Anthropic ClaudeNot cited
AI rarely names this business — and when it does, the brokerage or service area is inconsistent across the profiles it reads. Buyers and sellers are being routed to the portals and the single biggest-name team instead.
Features
Features that help you manage and grow your business
✓ Track-record page — years, sales volume, list-to-sale ratio as text✓ Structured specialty & service-area content✓ Location-rich testimonials & a consultation intake flow
Knowledge graph
The asset that compounds
Every month, AI verifies more facts about your business — service area, specialties, years in business, sales volume, review counts, awards — and they stay. A competitor starting today is months behind.
Scout — verified factMaker — published answerAnchor — profile & directory consistency
A sample of the graph. Scout verifies the facts, Maker publishes the evidence, Anchor keeps every profile consistent — and it only ever grows. Illustrative figures.
Monthly report
One report. Every month.
Your score and its trend, citations by engine, where you stand against nearby teams, what the agents did, and what needs you.
Illustrative sample — not a real client’s data.
Monthly AI Visibility Report
Harborline Realty Group
August 2026
Delivered 1 September 2026
Across 6 engines, 40 tracked queries, 2 named competitors.
AI Visibility Score ·
Harborline now shows up for most “best agent near [neighborhood]” answers, but on “top listing agent for [neighborhood]” — your highest-value question — the single biggest-name team still answers in your place.
Key numbers
37%
Overall citation rate
▲ +18pts
13
New clients via AI this month
▲ from 4
$186K
Commission value traced to AI
▲ from $44K
2nd
Share of voice, 2 named rivals
▲ from 3rd
Citation rate by engine — never blended
Google AI Overviews51%
ChatGPT37%
Microsoft Copilot — new this month28%
Gemini26%
Perplexity14%
Anthropic Claude9%
Copilot grounding data — new source, live since domain verification
28
Grounding queries matched your service area
11
“Ready to hire” queries, of 28
2
Pages cited (0 last month)
3 of 11
“Ready to hire” queries you now win
▲ from 0 of 11
Citation share — you vs. named competitors
“Best real estate agent near [neighborhood]”
“Top listing agent for [neighborhood]”
“Agent who knows the [submarket] condo market”
Flagged for your review
FixChatGPT still lists you at your previous brokerage — your Zillow and Realtor.com profiles disagree, sent to Anchor.
Gap“Years in business” and “sales volume” aren’t readable text on your site — the queries that cite them go elsewhere.
What your agents did in August
Scout verified your Bing Webmaster Tools domain — Copilot grounding data is now live
Maker published a track-record page (years, volume, list-to-sale ratio) as structured text — cited on Perplexity within 48 hours
Scout spotted the brokerage mismatch across four profiles — currently costing citations
Anchor aligned your Google Business Profile name and service area with your own site
While the office was closed for the weekend
Scout caught a competitor’s new neighborhood landing page going live on Saturday
Anchor pushed the corrected brokerage name live on Zillow and Realtor.com
Maker added three testimonials that name specific neighborhoods so Copilot can quote them
Knowledge graph — your persistent asset
124
Entities tracked (+18)
592
Verified connections (+118)
93%
Average confidence score
The graph is yours and it compounds. Every month it holds more verified facts about your business — service area, specialties, years in business, sales volume, review counts, awards — so answers get harder to get wrong and the business gets harder for a competitor to displace. Stop, and it stops growing; stay, and each month starts further ahead than the last.
Focus for September
Finish the brokerage-name alignment across Zillow, Realtor.com and Redfin
Push “top listing agent for [neighborhood]” citation share past the 68% lead
Publish sales volume and list-to-sale ratio as readable text, not an image
Just paste your website or business name — no forms, no design work
FAQ
The detail, if you want it
When a buyer or seller asks ChatGPT for the best agent in an area, the answer is built from Google Business Profile and agents' own sites — about 98% of real-estate citations come from those, not from a Zillow or Realtor.com listing.¹ Inserviss measures exactly where you're losing that citation across all six engines, makes your name, role, brokerage and service area identical everywhere AI reads, and turns your track record — review counts, years in business, sales volume, awards — into the structured evidence engines actually cite.
Three ways. The narrowed shortlist: an engine names 5–6 agents per city, and inconsistent profiles keep you off it. The wrong facts: AI describes you at an old brokerage or a service area you've since left, because your profiles disagree. The evidence gap: asked to justify a recommendation, the model cites review count, years in business and sales volume — and if yours aren't shown as readable text, it names whoever's are.
Google AI Overviews is the default first touch for “best agent in [city]” and the largest single citation pool. ChatGPT is where a buyer or seller narrows to a few names before reaching out. Perplexity is where clients check reviews and sales history against sources. Gemini and Copilot carry the rest. Every score, table and recommendation Inserviss produces stays per-engine — we never average them into one blended number, because the engines behave differently and diverge.
One system, three jobs. Scout samples ChatGPT, Copilot, Gemini, Claude, Perplexity and Google AI on the questions buyers, sellers and tenants in your market actually ask, and tracks whether you're named, where, and whether the facts are right. Maker is the on-domain fix: structured specialty and service-area content, a track-record page (years, volume, list-to-sale ratio) as readable text, location-rich testimonials, full schema, and a consultation intake flow. Anchor is off-domain — making your name, role, brokerage and service area identical across Google Business Profile, Zillow, Realtor.com, Redfin and your brokerage bio.
On your site, Maker turns a photo-heavy bio into structured content — property types, price bands, situational expertise, service area — publishes a track-record page with years in business, sales volume and list-to-sale ratio as text, adds testimonials that name specific neighborhoods, and adds schema and an llms.txt. Off your site, Anchor takes your Google Business Profile from incomplete to complete, and your Zillow / Realtor.com / Redfin / brokerage profiles from contradicting each other to one canonical name, role, brokerage and service area. Every change is tracked with a before, an after, and the date it moved.
Today, those portals are almost entirely invisible to AI search — 98% of citations come from Google Business Profile and your own site, not from a portal listing.¹ That's likely to change as Zillow, Redfin, and Realtor.com's own ChatGPT integrations mature, which is exactly why the window to establish your own citation footprint is open right now, not later.
Yes — the same citation-consistency and evidence-based mechanics apply directly to CRE: identical name, role, brokerage, and service-area information across your site, Google Business Profile, and listing platforms, plus location-rich reviews naming specific submarkets and buildings.
Agents who started building AI visibility in early 2025 already hold 5.7x the citation share of agents who started just twelve months later.¹ This category rewards early, consistent evidence — reviews, years in business, sales volume — more than ad spend, and that gap compounds the longer it goes unanswered.
A regular website is built to look good to a human visitor. This is built for what an AI model actually cites as justification — review counts, years in business, sales volume, and awards, shown as real structured content — plus, for larger brokerages, the guided directory and consistency work self-serve software can't do alone.
See where AI is sending your buyers and sellers
One diagnostic, six engines, free.