AI names AdSpy 23 times for every 16 times it names GetHookd.
This audit ran the 34 questions meta ads, ad spy customers type into ChatGPT, Claude, Gemini, Perplexity and Google's AI answers. The gap is open, and closing it now costs less than it will next quarter. Below is the full picture, and the plan to make GetHookd the brand AI recommends.
Here is what your customers see right now
One real question, one real answer, pulled this week.
Yes, there are several alternatives to Foreplay that specifically focus on Meta (Facebook and Instagram) ads, often offering more in-depth analysis and competitive intelligence than Foreplay's primary function as a creative library. Many of these tools go beyond simply saving ads to provide insights into performance, landing pages, and overall funnel structure.
Who is winning these answers today GetHookd share of voice: 11%
How often each brand appeared across all 170 tests. When a rival appears at all, AI names 2.7 of them in the same answer on average.
The gap is widening month by month
An independent index tracks how often AI engines cite each brand over time. The lines below are GetHookd against AdSpy, from a source independent of the 170 live tests above.
This independent index holds history for any domain it already tracks, so the trend is real from the first report. It confirms, from a source separate to the live tests, that the gap is persistent.
The 34 questions your customers actually ask
Grouped by buying stage. A green pill means GetHookd appeared in that surface's answer. Grey means absent.
Pain and problem questions
14 questionsProduct and solution questions
14 questionsBrand and comparison questions
6 questionsControl check: when buyers ask about GetHookd by name
These 6 questions include your brand name, so AI naming you here is expected and none of them count in the numbers above. What matters is what the answers say, and if your site is the source.
How AI talks about GetHookd
Across the answers where GetHookd did get named, here is the tone AI assistants strike, and the specifics they raise.
AI assistants describe GetHookd as a tool for finding high-performing ads across multiple platforms and using AI to turn them into new creative variations.
What AI says well
- You can filter through millions of ads by niche, format, and engagement signals to spot what works in your marketClaude · meta ad library alternative with better filtering and ai features
- The platform lets you upload a winning ad with your product info and generates hooks and scripts in secondsClaude · ai tool that generates facebook ad scripts from winning ads
- You get both ad research and AI production features in a single dashboard instead of needing separate toolsPerplexity · meta ad library alternative with better filtering and ai features
What AI flags
- The platform surfaces engagement indicators rather than actual ROAS figures since precise competitor spend data is not publicly availableGemini · facebook ad spy tool that shows roas benchmarks by niche
What your content talks about vs what your customers ask
The fastest way to see why the answers above skip GetHookd.
Your site's content lines up with 29 of the 34 questions your customers ask AI.
What GetHookd publishes today
- Facebook ads analysis
- eCommerce advertising
- campaign optimization
- ad spend ROI
- brand research tools
- competitive ad intelligence
- scaling ad campaigns
What your customers actually ask
- best ad library tool between bigspy and pipiads for ecommerce
- which has more meta ads dropispy or commerce inspector
- best meta ad spy tool for ecommerce brands under 100 per month
- how to find high performing meta ads in my product category
- software to save competitor ads before they go offline
- platform that transcribes video ads for copywriting inspiration
- ai image generator for facebook ad creatives under 50 dollars monthly
The engines can only cite what exists. Every question on the right with no matching content is an answer handed to a competitor.
The gaps costing you answers today
Every card below is a question set where the answer can change, ranked by how much buying intent sits behind it.
9 questions where AI names a competitor and never names GetHookd. Those buyers get sent somewhere else.
ChatGPT names GetHookd in only 0 of 34 questions. Every shopper who asks there gets an answer with your brand missing.
When shoppers describe a problem, GetHookd shows up in 0 of 14 answers. This is the moment they pick which brands to look at. Miss it and you are off the list before the comparison even starts.
6 answers name GetHookd without linking your site as a source. Links teach the engine to trust you more next time. A mention without one can fade.
52 answers came from the AI's stored memory, without checking the live web. Your brand only gets into these once it shows up in the sources the engines read and learn from.
The plan below closes these in order of buying intent.
Sound familiar?
The pattern behind these numbers shows up the same way in almost every store audited.
Why "AI SEO" audits change nothing
Most "AEO" and "AI SEO" agencies sell technical fixes that are rarely needed. Here is the common sense they skip.
The chart below shows the two ways brands publish, over 24 months. The grey line is mass-produced AI content pushed onto one site: it spikes when it first gets indexed, then the engines filter it as spam and it collapses. The orange line is MultiCast content: fewer topics, 8 formats each, placed on trusted sites, where every placement keeps earning citations and the curve keeps climbing.
How to get every AI and search engine recommending GetHookd, and not your competitors
The method is called MultiCasting. You take one topic your customers ask about, turn it into 8 ready-to-publish formats, and post them across 1,000+ trusted sites and platforms the AI engines already read. The engines keep seeing GetHookd in the sources they trust, so they start naming it in answers.
Getting one topic published across news sites, video, audio and social used to take a team of specialists and weeks of work per topic, so almost nobody did it. The MultiCasting method, invented by the team that fulfils this plan, produces all 8 formats and places them in one campaign. That is why the brands in the results below hold answers that publishing on your own site alone can never reach.
Map the questions your customers ask
Track the exact questions typed into ChatGPT, Claude, Gemini, Perplexity and Google's AI answers, plus the sources each engine cites. That map shows where GetHookd needs to appear.
Publish answers everywhere the engines read
One topic becomes 8 formats: news articles, blog posts, long videos, reels, podcasts, social posts, infographics and slideshows, published across 1,000+ sites and platforms the engines already cite, including YouTube, Spotify and Google News.
Turn citations into recommendations
Engines recommend the brands they keep seeing across trusted sources. Each campaign adds citations, citations build authority, and GetHookd becomes the name AI gives your customers.
What being in the answers has been worth
Three figures from real ecommerce stores that closed the same gap. Each is verified, with its own store and time period.
The toy store below was cited 947 times across 7 AI engines, one campaign topic at a time. Each citation is a chance to get recommended.
A fitness brand grew from $5,000 a month spent on content to $307,500 a month in sales it produced, by month 15. $1,845,000 in total.
Every sale above came from being present where shoppers research. Neither store ran a single paid ad.
Your results depend on your product, your category and how many topics you run. The call maps this audit to your store.
of buyers research before they purchase, across many platforms. Google handles about 27% of the 50 billion-plus questions asked daily. The rest happen on the platforms where most stores never appear.Sources: industry research compiled in the AmpiFire MultiCasting whitepaper.
Selected results from ecommerce brands
Verified client campaigns running the same method behind the plan above.
$5,000 per month on content grew to $307,500 per month in sales attributed to content by month 15, with $1,845,000 tracked across the period. The store spent nothing on ads the entire time.
After $730,000 in 2025, its third best year in two decades, the store is pacing 43% ahead in 2026 and tracking toward $1,000,000. All from campaign content, with $0 ad spend.
Organic traffic grew 417.8% after MultiCasting campaigns replaced single-channel publishing, stacking placements across news, video and social platforms.
Traffic grew 1,100% through stacked placements across news, video and audio platforms, turning a quiet label into a name buyers kept meeting during research.
Verified client results with screenshots on file. Outcomes vary with product, category and campaign volume.
"I built AmpiFire to get brands seen everywhere buyers research. This audit shows your gap. The call shows the fix."
Take the answers AdSpy holds today
Book 30 minutes and walk away with the full 34-question map, the gap analysis for your store, and the exact plan to close it. Straight talk on what it takes and what it returns.
Book Your 30 Minute Call→No obligation. You keep this audit and the full question map either way.