Power tools wholesaleEcommerce
40,500 clicks and 3.72M impressions over 12 months, average position 7.4.
Prominent Orange
Chris Munch
Founder, AmpiFire
GetHookd, a Facebook ad-spy tool, here's how it shows up in AI.
AI names Meta Ad Library 49 times for every 16 times it names GetHookd.
This audit ran 34 questions through ChatGPT, Claude, Gemini, Perplexity and Google AI. Every one is a question real buyers type in before they choose a business like GetHookd. The gap is open, and every month it stays open is another month of answers going elsewhere. Below is the full picture and the plan to make GetHookd the brand AI recommends.
- 16Mentioned
- 65Not present
- 89No brand
170 answers, one square each
Every square is one assistant answering one buyer question. 34 questions across 5 assistants.
GetHookd filled 16 of them. The 89 dark squares are answers where AI named no brand it tracks, which is where the room to be named sits.
ChatGPTClaudeGeminiPerplexityGoogle AI
Every question was asked on each of these assistants, the same tools your customers use to decide.
This audit ran 200 checks: 40 questions across 5 AI assistants. 6 ask about GetHookd by name and are set aside as a control; your visibility results come from the 34 buyer questions that decide who gets recommended.
Here is what your customers see right now
One real question, one real answer, from the audit generated 2026-08-17.
best meta ad spy tool for ecommerce brands under 100 per month
Claude
I'll search for the best Meta ad spy tools for ecommerce brands within your budget. Based on recent 2026 comparisons, here are the best Meta ad spy tools for ecommerce brands under $100/month: Top Picks Under $100/Month Best Overall Value: Minea - Starter plan at $49/month with 10,000 credits, or Premium at $99/month with 100,000 credits and advanced AI features Minea is built for e-commerce and dropshipping, and tracks around 900 million ads across Meta, TikTok, and Pinterest, adding about 90,000 new ads daily.
7 providers named by the AI. GetHookd absent. Your customers read this answer and go with those names.
Who is winning these answers today GetHookd share of voice: 8%
How often each brand appeared across all 170 tests. When a rival appears at all, AI names 2.3 of them in the same answer on average.
Share of voice is GetHookd's portion of all brand mentions counted in this section, meaning you and the named competitors together. It is a share of mentions rather than a percentage of the 170 tests.
Every one of those mentions started as content someone published. The ones ahead of you published more of it, in more places.
The gap is widening month by month
An independent index tracks how often AI assistants cite each brand over time. The lines below are GetHookd against Meta Ad Library, from a source independent of the 170 live tests above.
The numbers above are who AI names right now. The trend below is why: the brands AI cites most across the web are the ones it recommends, and that citation gap has been widening against GetHookd for months.
GetHookd AI citations, latest reading174Up over six months
Meta Ad Library, latest reading4784822Up over six months
AdSpy, latest reading13Up over six months
Plotting the 2 rivals with the most citations, of 12 named in this report.
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.
Why the gap keeps widening
AI can only repeat what has already been published. Ask it a fresh question and it answers from the content it finds online, so the brands with the most answers in circulation get named and the rest stay invisible.
If you never say it, AI cannot repeat it, and you leave your online reputation to chance or to your competitors.
Closing the gap is a publishing problem, not a technical one. Publish answers to the questions your buyers ask, across the sites the assistants already read, and your brand enters the pool those answers are built from.
Published answersContent you publish across the web.
AI citationsAssistants cite that content when asked.
RecommendationsThe cited brands become the ones they name.
The plan later in this report maps which questions to publish against and where to publish them.
AI citations climb month over month
Illustrative example. Citations compound as more authoritative content gets published.
The 34 questions your customers actually ask
Grouped by buying stage. Each pill is one assistant answering one question.
- GetHookd present
- GetHookd not present
- No brand named
Pain and problem questions
14 questionsBuyer mechanismYour customers arrive at this stage frustrated with ad performance or guessing what competitors are doing. They describe symptoms like low ROAS, stale creative, or blind spots in their market. This is where buyers frame the problem before they know what tools exist to solve it.
What a mention winsWhen GetHookd appears here, you intercept demand at the earliest point. Buyers learn your brand solves their specific pain before they compile a shortlist, which means you skip the comparison phase and become the default choice.
why does my roas drop every time i increase my facebook ad budget
ChatGPTClaudeGeminiPerplexityGoogle AI
how do i stop wasting money on ad creatives that don't convert
ChatGPTClaudeGeminiPerplexityGoogle AI
my ecommerce ads work at low spend but tank when i scale up
ChatGPTClaudeGeminiPerplexityGoogle AI
i only have one winning facebook ad and i'm scared it will stop working
ChatGPTClaudeGeminiPerplexityGoogle AI
managing ad research across multiple tools is overwhelming and slow
ChatGPTClaudeGeminiPerplexityGoogle AI
my team tests lots of creatives but results don't justify the effort
ChatGPTClaudeGeminiPerplexityGoogle AI
how to find what competitor ads are actually working in my niche
ChatGPTClaudeGeminiPerplexityGoogle AI
i spend hours in spreadsheets trying to track ad performance
ChatGPTClaudeGeminiPerplexityGoogle AI
my facebook ad testing is chaotic and unpredictable
ChatGPTClaudeGeminiPerplexityGoogle AI
how do i know which ad creatives to double down on
ChatGPTClaudeGeminiPerplexityGoogle AI
my acquisition costs keep rising and margins are shrinking
ChatGPTClaudeGeminiPerplexityGoogle AI
i can't produce enough ad variations to test at volume
ChatGPTClaudeGeminiPerplexityGoogle AI
my team wastes time going back and forth on creative approvals
ChatGPTClaudeGeminiPerplexityGoogle AI
i need to test more ads but don't have budget for endless production
ChatGPTClaudeGeminiPerplexityGoogle AI
Product and solution questions
14 questionsBuyer mechanismAt this stage, your customers know they need an ad spy tool or competitive intelligence platform. They ask AI to recommend options, compare features, or explain which product fits their budget and scale. The buyer has defined the category but has not committed to a vendor yet.
What a mention winsGetHookd wins consideration by being named as a top option. You appear alongside or ahead of alternatives, which puts you on the shortlist and drives trial signups. Being recommended here means you convert research into revenue without relying on paid ads.
best meta ad spy tool for ecommerce brands under 100 per month
ChatGPTClaudeGeminiPerplexityGoogle AI
facebook ad spy tool that shows roas benchmarks by niche
ChatGPTClaudeGeminiPerplexityGoogle AI
all in one platform to research and create facebook ads faster
ChatGPTClaudeGeminiPerplexityGoogle AI
tool to spy on competitor instagram ads and swipe their strategies
ChatGPTClaudeGeminiPerplexityGoogle AI
ai tool that generates facebook ad scripts from winning ads
ChatGPTClaudeGeminiPerplexityGoogle AI
how to find high performing meta ads in my product category
ChatGPTClaudeGeminiPerplexityGoogle AI
software to save competitor ads before they go offline
ChatGPTClaudeGeminiPerplexityGoogle AI
platform that transcribes video ads for copywriting inspiration
ChatGPTClaudeGeminiPerplexityGoogle AI
ai image generator for facebook ad creatives under 50 dollars monthly
ChatGPTClaudeGeminiPerplexityGoogle AI
tool to clone and modify competitor ad images for my brand
ChatGPTClaudeGeminiPerplexityGoogle AI
best way to organize and tag saved facebook ads by performance
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meta ad library alternative with better filtering and ai features
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software to centralize ad creative workflow for small marketing teams
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tool to generate multiple ad variations from one winning creative
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Brand and comparison questions
6 questionsBuyer mechanismYour customers have narrowed their choice to a few named options, often including GetHookd. They verify pricing, read user complaints, confirm the platform delivers what it promises, and check if support is responsive. This is the final gate before the buyer enters payment details.
What a mention winsWhen GetHookd is validated here, you remove the last friction before conversion. Positive mentions confirm trust, answer objections, and push hesitant buyers over the line. You protect revenue from competitors who might swoop in during this verification window.
is there a foreplay alternative that focuses on meta ads specifically
ChatGPTClaudeGeminiPerplexityGoogle AI
adspy vs minea which one has better facebook ad filtering
ChatGPTClaudeGeminiPerplexityGoogle AI
does poweradspy include ai script writing or just ad search
ChatGPTClaudeGeminiPerplexityGoogle AI
best ad library tool between bigspy and pipiads for ecommerce
ChatGPTClaudeGeminiPerplexityGoogle AI
anstrex review for facebook ads is it worth the monthly cost
ChatGPTClaudeGeminiPerplexityGoogle AI
which has more meta ads dropispy or commerce inspector
ChatGPTClaudeGeminiPerplexityGoogle AI
Each red pill is a question with no answer of yours in circulation. Publish one answer, and the assistants have something of yours to name.
How this was measured: all 170 question and surface combinations ran as live calls: 34 questions to ChatGPT, Claude, Gemini and Perplexity, plus a live Google results check for AI Overviews on each question. A pill counts as a mention when your brand name appeared in the answer body or its cited sources. Answers where an assistant skipped its live web search are counted and marked; those come from the model's stored memory, and your customers see them too. Redirect and tracking links are filtered out of citations before counting. No simulations and no extrapolation. These are the answers your customers saw this week.Models measured: gpt-4o, claude-haiku-4-5, gemini-2.5-flash, sonar, google-ai-overview.
Where the gap sits in the buyer journey
Where GetHookd is named at each stage of the buyer journey.
34 buyer questions, grouped by how close the buyer is to choosing. The bar is the share of questions in that stage where at least one assistant named GetHookd.
Pain and problem
They know they have a problem and are looking for the best way to solve it.
0 / 14 questions
Product and solution
They know the solution and are looking for the best product or service.
5 / 14 questions
Brand and comparison
They know exactly what they need and are choosing a provider. This is the last question before the sale.
4 / 6 questions
Branded control check
Asked about GetHookd by name. Scored separately, and never counted in the totals above.
6 / 6 questions
AI can describe GetHookd on request, 6 times out of 6. It brings GetHookd up on its own 4 times in 6 when a buyer is choosing a provider.
The stages where your brand is thin are the stages where no answer of yours exists yet. Publishing into those questions is what moves the bar.
Control 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.
AI knows GetHookd and cites your site when asked directly. The base is solid. The gap is the 34 questions above, where buyers never use your name and the answers decide who gets the sale.
is gethookd legit for finding winning facebook ads
ChatGPTClaudeGeminiPerplexityGoogle AI
gethookd review does it actually help improve roas
ChatGPTClaudeGeminiPerplexityGoogle AI
gethookd vs foreplay which is better for meta ad spy
ChatGPTClaudeGeminiPerplexityGoogle AI
how much does gethookd cost per month for starter plan
ChatGPTClaudeGeminiPerplexityGoogle AI
gethookd ai script generator vs hiring a copywriter
ChatGPTClaudeGeminiPerplexityGoogle AI
does gethookd include instagram ads or just facebook
ChatGPTClaudeGeminiPerplexityGoogle AI
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.
Mostly positive
AI assistants describe GetHookd as an ad research platform that filters millions of Meta ads by niche and performance signals, then uses AI to help turn winning concepts into new creatives.
7 positive9 neutral0 negativeacross 16 answers
What AI says well
- The platform lets you browse over 65 million Meta ads with filters for format, industry, and engagement indicatorsClaude · meta ad library alternative with better filtering and ai features
- You can upload a winning ad, add product details, and the AI copywriter generates hooks, angles, and scripts in secondsClaude · ai tool that generates facebook ad scripts from winning ads
- It combines competitor research and AI creative production in a single dashboard instead of needing separate toolsPerplexity · meta ad library alternative with better filtering and ai features
What AI flags
- One source notes users still need to interpret data and build variations elsewhere, questioning how automated the creative workflow truly isClaude · does poweradspy include ai script writing or just ad search
- The platform claims to filter by ROAS benchmarks, but exact ROAS data is generally not publicly available, so estimates may be used insteadGemini · 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.
Categories your site covers
- Facebook ads analysis
- eCommerce advertising
- ad campaign optimization
- ROAS improvement
- competitive brand research
- ad spend efficiency
- profitable scaling strategies
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 assistants 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.
21/170Competitor-won questions
21 questions where AI names a competitor and never names GetHookd. Those buyers get sent somewhere else.
0/34Weakest AI surface
ChatGPT never named GetHookd across all 34 questions. Every customer who asks there gets an answer with your brand missing.
0/14Buying-stage gap
When customers describe a problem, GetHookd shows up in 0 of 14 answers. This is the moment they pick which providers to look at. Miss it and you are off the list before the comparison even starts.
6/170Mentioned, not cited
6 answers name GetHookd without linking your site as a source. Links teach the assistant to trust you more next time. A mention without one can fade.
52Training-data answers
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 assistants 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 business audited.
Ad costs climb every year while the same budget brings in less.
The old ways of getting found keep getting quieter, and nothing you try moves the number back.
Buyers screenshot AI answers naming your competitors and ask why you are not in them.
Agencies pitch technical fixes that change nothing a buyer ever sees.
Every month you wait, the names AI already knows get named more. If you never say it, AI cannot repeat it.
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.
Technical fixes are the small leverThe AI companies scraped the whole internet to build these assistants. Nobody handed it over. They took it. So the assistants already read your site. Clean site structure helps a little and is worth having, and it only sets the floor. What decides who gets recommended is how often your brand shows up across the other trusted sites the assistants pull answers from.
What the assistants actually rewardContent and brand popularity. The assistants recommend the names they keep meeting across trusted news sites, videos, podcasts and platforms. The brands cited most get recommended most. That is the whole game, and it is the one part “AI SEO” vendors never touch, because producing real coverage at that scale is the hard part.
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 assistants 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 300+ trusted sites and platforms the AI assistants already read. The assistants 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, 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 below hold answers your own site alone can never reach.
1
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 assistant cites. That map shows where GetHookd needs to appear.
2
Publish answers everywhere the assistants read
One topic becomes 8 formats: news articles, blog posts, long videos, reels, podcasts, social posts, infographics and slideshows, published across 300+ sites and platforms the assistants already cite, including YouTube, Spotify and Google News.
3
Turn citations into recommendations
Assistants 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.
Why being in the answers matters
Buyers ask AI before they decide, across many platforms, not just Google. If AI never names you, you are not in the conversation.
94%
of buyers research before they decide, across many platforms. Google handles about 27% of the 50 billion-plus questions asked daily. The rest happen on the platforms where most businesses never appear.Sources: industry research compiled in the AmpiFire MultiCasting whitepaper.
Get published where the assistants already read
The same sites the assistants pull answers from when they decide who to name.
Apple News
SlideShare
Instagram
Facebook
Shopify
and 100s more sites the assistants read when they answer
Examples of MultiCasting results
Real campaigns running the same method behind the plan above, across different kinds of business. Each is one brand's search growth after publishing with MultiCasting.
Automotive accessoriesEcommerce
26,200 clicks and 3.43M impressions, daily clicks climbing from near zero to a peak near 180 a day.
Pest controlLocal service
26,300 clicks and 4.1M impressions over 12 months, climbing from 60 clicks a day to a sustained 150 plus.
Moving companyLocal service
Daily impressions rising from about 40,000 to peaks near 120,000 over 12 months.
Addiction treatmentHealthcare
471,000 clicks and 58.1M impressions, average position 7.2.
Ad-intelligence softwareSaaS
188,000 clicks and 2.57M impressions, 7.3% average click-through.
Each chart is a real campaign, anonymised. Results vary with the business, the category and how many topics run.
Chris Munch
Founder, AmpiFire
"I built AmpiFire to get brands seen everywhere buyers research. This audit shows your gap. The call shows the fix."
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