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How 1-800-Flowers Won the AI Visibility Race

AI Visibility Teardown

1-800-Flowers Leads Its Category in AI Search. The Whole Category Is Losing.

We ran 1-800-Flowers through four AI engines using RankScale, tracking real buyer questions about birthday flowers, anniversary gifts, and gift baskets. It beat every florist we checked. It still showed up in roughly one answer out of eight.

The Testing Method

What We Actually Tracked

RankScale runs a brand against real buyer questions across ChatGPT, Perplexity, Google Gemini, and Google AI Overviews. It scores how often the brand shows up, where it ranks when it does, and how the AI engines talk about it once it’s there.

For 1-800-Flowers, that meant 295 tracked buyer questions. Not brand searches. Category searches, the kind a buyer types before they’ve picked a florist, like “what are the best birthday flowers to send to a coworker” or “where can I order anniversary flowers for same day delivery.”

The numbers below come from a batch of runs on August 20, 2026.

11.1%
AI Visibility Score
Highest of the 10 brands tracked
12.2%
Detection Rate
Shows up in about 1 of 8 answers
#2.1
Average Rank
When it shows up at all
71.7%
Sentiment
Middle of the pack, not the top

Key Findings

The Short Version

  • 1-800-Flowers has the highest AI Visibility Score of the 10 florists and gift brands we tracked, at 11.1%.
  • That still means AI engines miss every brand we tracked, including the leader, in roughly 88% of category questions.
  • Visibility swings hard by engine. Google Gemini surfaces the brand in about 1 of 4 relevant answers. ChatGPT barely surfaces it at all.
  • Three smaller brands, Uncommon Goods, UrbanStems, and The Bouqs, get talked about far more warmly than 1-800-Flowers does, on a fraction of the visibility.
  • AI shopping answers are still mostly unclaimed. Only 32% of shopping-flagged questions returned any provider at all.

The Competitive Field

Who’s Actually Winning

Ten brands showed up often enough to score. 1-800-Flowers sits on top, but the gap to Teleflora and FTD is thin, and the gap to a real answer is much wider than the gap between competitors.

Brand
Visibility
Mentions
Avg Rank
Sentiment
1-800-Flowers
11.1%
33
#2.1
71.7%
Teleflora
9.8%
31
#2.8
68.0%
FTD
8.5%
26
#2.5
66.5%
Proflowers
3.8%
12
#2.7
74.2%
The Bouqs
3.3%
10
#2.3
79.0%
From You Flowers
3.1%
10
#3.2
75.0%
Harry & David
2.8%
9
#3.3
78.9%
Etsy
2.5%
8
#3.3
66.9%
Uncommon Goods
2.3%
7
#2.4
85.6%
UrbanStems
2.1%
7
#3.4
80.1%

Detection rate tells a rougher story than the leaderboard does. Even the leader gets found in only 12% of the questions it should be answering. Nobody has won this room yet.

Visibility By Engine

One Brand, Four Different Report Cards

Same brand, same 295 questions, four AI engines. The spread between them is the real story.

Engine
Visibility
Detection
Avg Rank
Sentiment
Google Gemini
23.7%
25.4%
#1.9
81.7%
Google AI Overviews
8.8%
8.8%
#1.0
68.3%
Perplexity
8.2%
10.2%
#3.5
70.3%
ChatGPT
1.5%
1.7%
#2.0
85.0%

Google Gemini does the heavy lifting, finding 1-800-Flowers in about a quarter of relevant questions and ranking it near the top when it does. ChatGPT found it once in the whole batch, too small a sample to read much into. A brand chasing one engine and calling the job done is chasing about a quarter of the problem.

Sentiment Doesn’t Follow Visibility

Getting Mentioned Isn’t the Same as Getting Liked

1-800-Flowers shows up more than anyone else in the set. It isn’t the brand AI engines like best.

Uncommon Goods scores an 85.6% sentiment average, UrbanStems sits at 80.1%, and The Bouqs comes in at 79.0%. All three get mentioned a fraction as often as 1-800-Flowers does, at 71.7%.

MOST VISIBLE

1-800-Flowers

11.1% visibility score, but only 71.7% sentiment once people are actually reading about it.

MOST LIKED

Uncommon Goods

85.6% sentiment, the warmest in the set, on a 2.3% visibility score.

Visibility gets a brand into the conversation. It doesn’t decide how the conversation goes once the brand is there.

The Shopping Moment

AI Shopping Answers Are Still Mostly Empty

When a question reads like someone’s ready to buy, AI engines only pull up an actual product or provider 32% of the time, 16 of the 50 shopping-flagged runs we tracked.

When 1800flowers.com does appear in one of those answers, it ranks first every time. The problem isn’t rank. It’s whether the engine surfaces a shopping answer, and a real provider, at all.

32%
Shopping Detection Rate
16 of 50 shopping-flagged runs returned any provider
#1
Rank When It Appears
1800flowers.com tops the shopping results it shows up in

That’s a wide open lane. Whoever gets structured product and gifting content in front of these engines first has room to run before the rest of the category catches up.

Why The Gaps Exist

What Actually Moves These Numbers

AI engines build answers from what’s written about a brand across the web. Category roundups, comparison posts, review sites, and gift guides carry more weight here than anything the brand says about itself.

A brand with strong reviews but thin third-party coverage tends to look invisible here, even with great products. A brand with wide coverage but average reviews shows up often and gets talked about coolly, which is closer to where 1-800-Flowers sits.

There’s no single fix. It takes consistent, credible mentions across the sites these engines already trust, paired with content that actually answers the buyer’s question.

What This Means For Agencies

This Isn’t Unique to Flowers

Swap flowers for legal services, SaaS, or home services and the pattern holds. Most brands in most categories are barely showing up in AI answers yet, and the ones that do show up aren’t necessarily the ones buyers end up liking.

That’s the opening. A category where the leader gets detected in 12% of relevant questions is a category where a handful of well-placed mentions can move a client from invisible to unavoidable.

Fix This For Your Clients

Want Your Clients Showing Up Like This, Only Better?

Stan Ventures builds the brand mentions and backlinks that get a client cited across AI engines, the kind of coverage a page-one ranking alone doesn’t buy. Flat pricing, a dedicated account manager on every account, and pre-approval on every domain before outreach starts.

Book a Strategy Call

Ananyaa

Ananyaa

Author

Ananyaa Venkat is a seasoned content specialist with over nine years of experience creating industry-focused content for diverse brands. At Stan Ventures, she blends SEO insight with strategic storytelling to shape a compelling brand voice. She has contributed to several leading SEO publications and stays attuned to evolving trends to ensure her content remains authoritative, relevant, and high-quality.