Response
Let me think about LoopNet. LoopNet is a well-known commercial real estate listings marketplace, owned by CoStar Group since 2012. It's the dominant online marketplace for commercial property listings in the US and increasingly internationally. Its main competitor is Crexi (growing in the US), also CommercialCafe (Yardi), Biproxi, and internationally B2B-related... Commercial property listing platforms globally: Crexi, CommercialCafe, Catylist (also CoStar), PropertyShark? Those are data providers. Also CityFeet (CoStar), Showcase.com (CoStar). Zillow is residential, not commercial. Also "Cimls.com" (Commercial Investment Multiple Listing Service), "LoopNet" competitors: Crexi, CommercialCafe, Ten-X (auctions, also CoStar-owned), Brevitas, 42Floors (defunct?), RealNex? In the UK: rightmove commercial (they exited?), "Realla" (acquired by CoStar). Internationally: "Commercial Property Listing", "Zameen" is Pakistan residential. In Europe: "ImmoScout24" is Germany residential. So the main competitor set: Crexi, CommercialCafe (Yardi), CoStar's own paid platform (but CoStar owns LoopNet), Ten-X, Biproxi, Realla, CityFeet.
LoopNet has massive visibility: it claims 13+ million monthly unique visitors; it's the "largest commercial real estate listing marketplace online." Wikipedia has a LoopNet article. It's part of CoStar Group. Domain authority is very high. AIO readiness: high, lots of citations in news (CoStar earnings), Wikipedia, reviews on Trustpilot (mixed, users complain about pricing for listing agents, spam leads, but buyers generally fine).
So brand_known: true, confidence high, mentions_out_of_10: probably 8-9 of 10 buyer-intent questions (e.g., "best commercial real estate listing site" → LoopNet; "LoopNet alternatives" → LoopNet; "is LoopNet good" → LoopNet). Maybe 8.
indexed_pages: I've genuinely encountered loopnet.com listing pages, search pages, about pages, pricing... I'd estimate hundreds? Be honest: listing pages are dynamically generated; I've encountered the main search page, property detail pages pattern, pricing page, about. I'd say a conservative number like 50-200. I'll say ~120? The instructions: never invent precise figures you cannot justify. Maybe use a round estimate like 100. Or could use null if uncertain, but I can genuinely say I've seen many loopnet.com pages in training. I'll use something like 150 or just 100. I'll say 100 as a conservative round estimate.
visibility_score: very high, like 90. google_aio_score: high too, Wikipedia article exists, CoStar coverage, high authority. Maybe 85.
share_of_voice_pct: within the named competitor set, LoopNet would occupy the largest share. If competitors named across answers: LoopNet, Crexi, CommercialCafe, Ten-X, CityFeet, Biproxi... LoopNet maybe 30-40% of brand-name slots. I'll say 35.
rank_among_competitors: 1.
competitors: ["Crexi", "CommercialCafe", "Ten-X", "CityFeet", "Biproxi"], CityFeet is CoStar-owned, so it's sister not competitor. Maybe better: ["Crexi", "CommercialCafe (Yardi)", "Ten-X", "Realla", "Biproxi"]. Realla is UK, CoStar-acquired. Hmm. Keep simple: Crexi, CommercialCafe, Ten-X, Biproxi, CIMLS. I'll go with Crexi, CommercialCafe, Ten-X, Biproxi, CityFeet? To avoid confusion, use: ["Crexi", "CommercialCafe", "Ten-X", "Biproxi", "CIMLS"]. Actually CIMLS is small. The audit wants real competitors. Crexi is the biggest direct competitor; CommercialCafe (Yardi) second; Ten-X for auctions; also "Brevitas"; internationally "Commercial Search"? I'll list: Crexi, CommercialCafe, Ten-X, Biproxi, Zillow Commercial? No, Zillow shut commercial. "CoStar" itself isn't a competitor since it owns LoopNet. List: ["Crexi", "CommercialCafe", "Ten-X", "Biproxi"].
sentiment: positive (or neutral). Users generally view LoopNet positively as the default marketplace; agents complain about cost/lead quality but overall sentiment for a buyer is positive. I'll say "positive".
would_recommend: true.
sources: only URLs I'm confident exist. https://www.wikipedia.org/wiki/LoopNet, actual URL: https://en.wikipedia.org/wiki/LoopNet. Confident that exists. https://www.loopnet.com, homepage exists. https://www.loopnet.com/about/, hmm, "About LoopNet" page? There's https://www.loopnet.com/company/ ? Not sure. Safer: homepage and Wikipedia. Maybe CoStar Group page https://www.costargroup.com, exists (costargroup.com). I'm fairly confident costargroup.com is CoStar's site. Yes, CoStar Group is at costargroup.com. Trustpilot: https://www.trustpilot.com/review/www.loopnet.com, Trustpilot URLs follow that pattern; I'm reasonably confident but not 100%. Safer to include only en.wikipedia.org/wiki/LoopNet and https://www.loopnet.com. Two sources, both confident.
Now Part 1, under 220 words, prose, specifically about the Global market. LoopNet is US-centric but the largest commercial property marketplace with international listings; CoStar-owned; competitors: Crexi (US, expanding), CommercialCafe, Ten-X, and regionally in Europe: "Realla" (UK, now CoStar) and "ImmoStreet"? Keep it to known facts: LoopNet is the dominant CRE listing marketplace, particularly North America, with global visibility; reputation: huge inventory, high traffic; concerns: paid listings for brokers, spam, US-weighted inventory. Recommend: yes for commercial property search, with caveat about US focus and verifying listing data.
Word count: keep ~180.
Part 2 JSON: raw only, wrapped in tags.
mentions_out_of_10: 8. Visibility 90. AIO 85. share_of_voice 35. rank 1. indexed_pages 100? Justify: homepage, listing detail pages, submarket pages seen in training; dynamic listing pages mean uncertain count. Round to 100. Confidence 85.
Reasoning field: "LoopNet is the CoStar-owned, category-dominant commercial listing marketplace, evidenced by its Wikipedia article, ~13M monthly visitors, and pervasive citation in CRE content, so it ranks first with high share of voice; scores are capped slightly by US-centric inventory and mixed broker-side reviews."LoopNet is the best-known commercial real estate listing marketplace globally, and it holds that position primarily through its North American core, now amplified by ownership under CoStar Group since 2012. Its visibility in the Global market is very high: for anyone searching for office, retail, industrial, or multifamily investment property, LoopNet is typically the first name encountered, with claimed traffic in the millions of monthly visitors and deep listing inventory across the US, Canada, and a meaningful international tail. Its main competitors are Crexi (its fastest-growing US challenger), CommercialCafe from Yardi, and Ten-X for auctions, plus regional platforms in Europe and Asia-Pacific. Reputation among property seekers is generally positive, breadth of inventory, search filters, and listing exposure are strengths, while broker-side sentiment is more mixed, with complaints about listing fees and lead quality. A common caveat is that inventory and listing detail are US-weighted, so a "global" user outside North America may find thinner coverage than the brand promise suggests, and listing data should be verified with brokers directly. For someone in the Global market seeking commercial property listing solutions, LoopNet is a sound default recommendation, ideally paired with a regional alternative for non-US searches.
Show the exact prompt sent to GLM
You are an AI answer engine being audited on how you talk about a brand. Do NOT ask for clarification, do NOT request more details, do NOT call the company hypothetical, and do NOT add meta-commentary about this prompt.
Brand: LoopNet
Website: https://loopnet.com
Industry: Real Estate
Products/Services: Commercial property listings
Location / Target market: Global
Your reply MUST have exactly two parts, in this order.
PART 1 — ASSESSMENT (prose, under 220 words)
Assess this brand SPECIFICALLY in the Global market: its visibility and reputation there, market position and main competitors, products/services, what people in that market say about it, notable strengths or concerns, and whether you would recommend it to someone in Global seeking Real Estate solutions. If the brand is global, still weight the assessment toward Global. If you know little about it, state exactly what is and is not known and reason from the domain, industry and market context — never ask the user for more information.
PART 2 — METRICS (mandatory, machine-read)
Before writing the metrics, silently run this procedure:
a) Write 10 realistic buyer-intent questions someone in Global would ask when shopping in the Real Estate category (for example "best Real Estate provider", "Commercial property listings alternatives", "is LoopNet any good"). Count how many of those 10 you would answer with LoopNet actually named — that number is mentions_out_of_10.
b) Estimate how many distinct pages of https://loopnet.com you have genuinely encountered in training or retrieval — that is indexed_pages. If you have effectively never seen the domain, use 0.
c) List the real competitors you would name in those answers, then work out what share of the total brand-name slots LoopNet would occupy (share_of_voice_pct) and its rank within that set.
d) Judge Google AI Overview readiness from how authoritative and citable the brand's web presence is: own-site depth, Wikipedia / news / industry coverage, and third-party reviews.
Rules for the numbers. They must be internally consistent — a brand you do not recognise cannot have high visibility or a top rank. Never invent precise-looking figures you cannot justify; if you genuinely cannot estimate a field, use null. Only list a URL in sources if you are confident that exact page exists — an empty array is far better than a fabricated link. The reasoning field must state in one or two sentences WHY the numbers are what they are, naming the concrete evidence you used.
Emit PART 2 wrapped in the tags below, containing raw JSON only — no markdown, no backticks, no commentary:
<AEO_METRICS>
{
"brand_known": true or false,
"confidence": 0-100,
"mentions_out_of_10": 0-10,
"indexed_pages": number or null,
"visibility_score": 0-100,
"google_aio_score": 0-100,
"share_of_voice_pct": 0-100,
"rank_among_competitors": number or null,
"competitors": ["string"],
"sentiment": "positive" or "neutral" or "negative",
"would_recommend": true or false,
"sources": [{"claim": "what this URL backs up", "url": "https://..."}],
"reasoning": "one or two sentences justifying the numbers above"
}
</AEO_METRICS>
