AI Search Visibility

How AI assistants surface Willowdale Equity across ChatGPT, Perplexity, Claude, Gemini & Google AI

United States

Brand Perception

How AI assistants portray your brand

14% pos81% neu5% neg

Willowdale Equity is positioned as a credible, small-scale real estate syndication firm specializing in Class B and C multifamily properties in the Southeastern U.S., particularly Texas and Georgia. While it offers lower minimum investments and a focused strategy, concerns about execution risk and competition from larger, more established firms are noted.

✓ Strengths

Credible operational presenceLower minimum investmentFocused investment strategy

✕ Weaknesses

Execution riskSmaller scale compared to competitors

60 mentions analyzed · updated 1d ago · refreshed automatically each scan

Sentiment Score

Your brand's sentiment trend across LLMs, hover any day

52/100 · 356 mentions scored · 14% positive

Positive Neutral Negative Sentiment score

Head-to-Head

Visibility, position & sentiment vs a competitor

Willowdale Equity is framed as a more focused and credible option in the multifamily investment space, emphasizing its direct operational model and specific targeting of Class B and C value-add properties in Texas and Georgia. In contrast, Goodegg Investments is portrayed as a larger, more diversified platform but lacks the same level of specificity and operational depth as Willowdale, which may affect its perceived credibility.

Willowdale Equity

Visibility

12%

Avg pos

#1.5

Sentiment

Known for

✓ Class B/C value-add multifamily

✓ Focused on Texas and Georgia

✓ Direct operator/syndicator

Goodegg Investments

Visibility

Avg pos

#1.5

Sentiment

Known for

✓ Larger institutional-scale

✓ Broader asset types

✓ Passive-investing platform

A label and a score,
on each answer that names you.

Each answer that mentions your brand is classified positive, neutral or negative and scored from minus 100 to plus 100. An answer that never names you gets neither, because absence is a visibility problem rather than a bad review. The headline figure is the average of the scored ones on a 0 to 100 scale, printed next to the count it came from.

What keeps recurring,
and why it recurs.

Sentiment gives you the tone. Attributes give you the content: the recurring phrases the answers attach to your brand, up to fifteen of them, each sized by how many answers touched on it and coloured by whether it reads as a strength, a concern or a plain fact. Hover one for the reason, taken from those same answers.

Beside the competitors
you already track.

Pick any competitor from your tracked list, up to ten of them. Verand reads the answers that name you and the answers that name them, and returns visibility, average position, sentiment and what each of you is known for. It still builds when you are at zero percent, because that absence is the finding.

What people ask about how this is judged.

What is scored, what is extracted, who it compares you against, and what it will not do.

Is sentiment a score or a label?

Both, on every answer that names you. Each one gets a label (positive, neutral or negative) and a score from minus 100 to plus 100. The number at the top of the card is the average of the scored answers rescaled to 0 to 100, shown next to how many answers it was averaged over and what share of them were positive.

What happens if no assistant mentions us?

Nothing is scored, and the card says so rather than showing a zero. Sentiment only exists where a brand is named, so an unmentioned brand has no sentiment to read. Head-to-Head is the exception: it still builds, from the answers that name the competitor, and that absence is what it reports.

Where do the attributes come from?

From the answer text, not from anything you typed. Verand reads a window around each brand mention across the last thirty days, merges near-duplicates, and returns up to fifteen attributes, each with the number of answers that touched on it, a positive, neutral or negative reading, and a reason drawn from those answers.

Which competitors does the head-to-head compare us against?

The ones on your tracked list in the Brand Hub, up to ten, so you are compared with who you say you compete with rather than whoever an answer happened to name. Brands the assistants name alongside you that are not on that list are discovered separately and shown on the Visibility tab.

Do I have to run anything?

No. All of it recomputes after each scan over the trailing thirty days and is cached, so the tab is already filled in when you open it. The only buttons are bootstrap ones, for a site whose first scan has not produced anything to read yet, or a competitor nobody has compared you with.

Can it invent a strength we do not have?

Every phrase is grounded in the answers, and a pass that fails writes nothing instead of guessing: the panel stays empty and the next scan retries. It reports how you are described, not whether the description is correct. That check is Brand Facts, the panel beside it.

They name you. Then they describe you. Verand reads the description.

AI Search Visibility

Brand Perception

Sentiment Score

Head-to-Head

A label and a score,
on each answer that names you.

Sentiment Score

What keeps recurring,
and why it recurs.

Attributes

The read an analyst
would have written.

Brand Perception

Beside the competitors
you already track.

Head-to-Head

Written after every scan, not behind a button.

The scan collects answers

Each mention is labelled

The window is synthesised

You read it two ways

What people ask about how this is judged.

Find out how you get described.

They name you. Then they describe you. Verand reads the description.

AI Search Visibility

Brand Perceptioni

Sentiment Scorei

Head-to-Headi

A label and a score,on each answer that names you.

Sentiment Scorei

What keeps recurring,and why it recurs.

Attributesi

The read an analystwould have written.

Brand Perceptioni

Beside the competitorsyou already track.

Head-to-Headi

Written after every scan, not behind a button.

The scan collects answers

Each mention is labelled

The window is synthesised

You read it two ways

What people ask about how this is judged.

Find out how you get described.

Brand Perception

Sentiment Score

Head-to-Head

A label and a score,
on each answer that names you.

Sentiment Score

What keeps recurring,
and why it recurs.

Attributes

The read an analyst
would have written.

Brand Perception

Beside the competitors
you already track.

Head-to-Head