What to Look For in an AI Search Agency: 29 Questions to Ask Before You Sign

By Sean Chaudhary · Published Aug 24, 2026 · Last updated Oct 26, 2026

You have two or three agency calls booked, and every agency on the list says GEO, AEO and LLM optimization. They all describe the same goal: getting your brand named when a buyer asks ChatGPT, Perplexity, Gemini or Google’s AI answers who to buy from. Plenty of them are selling the SEO checklist they already had, with a new label on it.

This guide gives you the seven criteria that separate the real thing, the red flags that end a call early, and 29 questions to ask before you sign. We answer all 29 ourselves, in writing, with our terms, our case numbers and an honest answer about when you should skip us.

What to Look For When Hiring an AI Search Optimization Agency

Look for an agency that can prove AI citations, measure them on a fixed prompt set, fix the technical foundation itself, write answer-first content, and tie all of it to pipeline in your industry. Each criterion below fits in one question on a sales call.

1. AI citation proof you can rerun. A credible AI search agency shows dated AI citations on its clients’ own pages, names the prompts behind them, and lets you rerun those prompts in ChatGPT, Perplexity, Gemini and Google AI Mode yourself.
2. A fixed, repeatable prompt set. The agency measures you against a locked set of prompts built from your buyers’ real questions, runs each prompt several times per cycle, and tracks mentions, citations and recommendations as three separate numbers.
3. Technical depth done in-house. Its own team fixes AI crawler access, page rendering, schema and entity consistency, because AI engines can only cite pages they can fetch, parse and trust.
4. Content that gets quoted. It writes pages that open with a short, sourced answer to a buyer’s question, since AI engines lift self-contained passages with specific facts.
5. Measurement tied to pipeline. It connects AI visibility to quote requests, meetings and pipeline in your own GA4 and CRM, and gives you a 24/7 dashboard you can open any time.
6. Experience in your industry. It has published case studies in your category and revenue band, with lead or pipeline numbers attached and a client reference you can call.
7. Transparency and ownership. Pricing you can see before a call, named people on your account, and a written promise that your prompt set, data, content and accounts stay with you if you leave.

Want a baseline before your first call? Run your brand through our AI Visibility Checker, then ask every agency to explain the result.

How AlchemyLeads Answers Each Criterion

AlchemyLeads is a revenue-first AI search agency for industrial, manufacturing, aerospace, medical device and high-AOV Shopify brands, with offices in Calabasas (Los Angeles) and Denver. Here is our answer to each of the seven criteria, with a published number you can check.

Red Flags When Hiring an AI Search Agency

The biggest red flag is a guaranteed spot in ChatGPT or Google’s AI answers, because no agency controls which sources an AI engine picks. One flag below is a reason to dig deeper. Two or more on the same call usually end the conversation.

Should You Hire an AI Search Agency or Build an In-House Team?

Hire an agency when you need technical SEO, content, digital PR and AI visibility tracking working together this year. Build in-house when you can fund several senior specialists, their tools and the time it takes to hire them.

Many mid-market companies do both: an in-house marketer owns the roadmap and the brand, and an agency supplies the specialists, the tracking stack and the testing. We compare the real costs, using public wage data, in AlchemyLeads vs. an in-house SEO team and AlchemyLeads vs. an SEO freelancer. If you already have a team, our in-house support plugs into it.

Whichever route you pick, hold it to the same seven criteria above. The 29 questions below work just as well in an interview with a Head of Search candidate.

Why the Hiring Questions Changed in 2026

For centuries, alchemy meant turning lead into gold. The instinct behind the old agency checklist still holds: find someone who can turn attention into revenue. But the science and mechanics underneath it have changed.

Before, a buyer used to run a search, scan ten blue links, and click two of them. That same buyer now types a full paragraph into ChatGPT, Perplexity, or Google’s AI answers and gets back a single synthesized response with maybe three brands named in it. If yours is not one of the three, there is no second page for you to be on. The click simply never happens.

This changes what you are buying from an agency, which is presence inside an answer that a model assembles on the fly, differently every time, from sources it decides are worth trusting. The 29 questions test whether a vendor can measure that presence and actually move it.

If you want the longer version of what we believe about this work, it is on our what we mean by alchemy page, and the practice itself lives under AI SEO. This piece is the short version. For a plain-English primer on how engines choose sources, read how AI search works.

The 8 Questions That Decide It

The other 21 are useful. These eight do most of the separating.

Write those eight down and ask them in that order. Then use the rest of this piece to dig into whichever answers wobbled.

Group A: Questions About AI Search Visibility

There is a moment on most vendor calls where you can feel the ground get soft under the pitch. It usually arrives right after you ask how a model decides which brands to name in an answer.

Start your questioning here, before pricing, to show agencies you mean business. This is the ground we work on under generative engine optimization, and it is where the gap between saying GEO and doing GEO shows up first.

Questions 1-4 are about measurement. A vendor who cannot measure your AI visibility today cannot promise to change it, whatever the deck says. The next three test whether they can change what happens on it, which is a different skill. Finally, questions 8-10 in this group are the repackager detectors. A vendor selling renamed SEO will answer the first seven acceptably and then get vague right about here.

1. How Do You Measure Our Visibility in AI Answers Today, and Against What Prompt Set?

What to listen for: A specific number of prompts, built from your category and your buyers, with a stated method for how the list was assembled. Vague talk about “monitoring AI mentions” usually means somebody is typing searches in by hand.

Our answer: We build a prompt set from your commercial keywords, the objections your sales team hears most, and the questions your buyers actually ask before they purchase. Most sets land between 100 and 300 prompts. The average is around 150, and enterprise accounts with wide catalogs run into the thousands. We run the set across engines on a fixed schedule, log every result, and hand you the documented set itself.

2. Is the Prompt Set Fixed and Repeatable, or Does It Change Between Updates?

What to listen for: A locked baseline, with additions tracked separately. If the prompt list quietly changes from month to month, every trend line built on it is fiction.

Our answer: The baseline set is locked at the start of the engagement. When your category shifts we add prompts, and the additions are versioned and tracked on their own so the baseline trend stays clean. You can see exactly what changed and when it changed.

3. How Do You Separate a Mention From a Citation From a Recommendation?

This is the question where inflated numbers like to hide, so listen closely.

What to listen for: Three distinct definitions, given without hesitation. These are three different business outcomes, and a vendor who blurs them together is padding your results, whether they mean to or not.

Our answer: A mention is your brand appearing in the answer text. A citation is a link back to your domain in the sources. A recommendation is the model naming you as the answer, ahead of the other options. We track all three separately, every time, because only recommendations reliably move revenue. Mentions and citations usually move first, so we watch them as early signals. We just do not let them headline your dashboard. Our guide explains how fetched, cited and mentioned content differ.

4. How Do You Handle Answer Volatility?

What to listen for: An acknowledgment that the same prompt returns different answers on different days, followed by an actual method: repeated runs, share-of-answer scoring, some form of averaging.

Our answer: We run each prompt multiple times per cycle and track your share of answers across all of those runs. If you appear in six out of ten runs, that is 60% presence, a number you can watch month over month. One screenshot offered as proof is a coin flip.

5. Which Engines Do You Actually Optimize For, and Which Do You Only Track?

What to listen for: An honest split. Nobody has real levers on every engine, and better to hear that now than in month five.

Our answer: We work directly on the surfaces where source selection responds to changes we can make. Today that means Google’s AI answers, ChatGPT’s browsing and index-backed responses, and Perplexity. The rest we track. We will tell you which bucket each engine sits in before you sign.

6. Have You Ever Moved a Brand Into an Answer Set Where It Was Absent? Prove Causation.

What to listen for: A before state, a specific change, an after state, and a stated reason the two are connected. “Traffic went up” is not causation.

Our answer: Yes. Our clearest public example is an aerospace gearbox engineering firm, a technical B2B manufacturer in a category most people assume AI search never touches. Over twelve months the account earned 158 new AI citations across generative search platforms, qualified quote requests rose 228% year over year, and organic traffic grew 21% with no paid spend anywhere in the mix.

Those numbers only make sense read together. A 21% traffic lift is nothing special on its own. A 228% lead lift sitting on top of it means the traffic changed character as well as volume. The citations are the mechanism. Every proof we show a client has that same shape: logged baseline, dated change, logged result, prompt set held constant across all of it. We also run the same relentless strategy and testing on our own properties first, which is how we know a tactic works before your budget is the one paying to find out.

7. What Happens When an Engine States Something False About Our Brand?

What to listen for: A named process and a realistic timeline. Anyone promising a same-week fix does not understand how model training and retrieval work.

Our answer: We trace the source the model is pulling from, correct it or displace it, strengthen the accurate source with clearer structured signals, and use whatever feedback channels the engine provides. Retrieval-driven errors often correct within weeks. Errors baked into training data can take a full model cycle to clear. Part of the job is telling you which kind you have.

8. What Are You Doing That Is Not Classic SEO With a New Label?

What to listen for: Concrete artifacts that did not exist in an SEO scope of work. If the whole answer is “well, good SEO is good AEO,” you have found a repackager.

Our answer: Prompt-set construction and tracking. Passage-level restructuring so an extractable answer sits inside the first 100 words of a section. Entity consistency work across the properties models trust. Citation-source displacement, which means going after the pages AI engines quote today in your place. None of that appears on a 2019 SEO scope.

9. The Engines Change Constantly. What Is Your Process When a Model Update Wipes Out a Tactic?

What to listen for: A detection method they can describe step by step. Press on this. How would they even know a tactic had died?

Our answer: The fixed prompt set is the detection system. When presence drops across many prompts at once and nothing changed on your site, that points to an engine-side shift. We isolate it, test replacements on our own properties, and then roll the fix out to clients. When a tactic stops working, we tell you right away and move the effort to what does.

10. How Does Our Existing Content Library Get Evaluated for AI Extractability?

What to listen for: Page-level scoring against stated criteria. Structure, answer placement, entity clarity, source credibility.

Our answer: Every page gets scored on how cleanly a model can lift a self-contained answer out of it. Most content libraries are full of pages that rank fine and extract terribly, usually because the actual answer is buried in paragraph six. That is ordinary matter waiting for the right conditions, to borrow our own phrase, and fixing it is the cheapest win available to most brands. The answers already exist. They are just in the wrong place on the page.

Group B: Questions About How They Diagnose Your Site

Case studies are written after the fact, by the people who want your business, about the engagements that went well. Nothing wrong with that. Treat them as one piece of the evidence you inspect.

A diagnostic is a different kind of evidence. It is a standing method you can inspect before you spend anything, and it tells you what a vendor believes matters, in what order, and whether they have done this enough times to have a written rubric. Six questions get you to the bottom of it.

11. Do You Run a Scored Diagnostic, or Do You Audit by Feel? What Is the Rubric?

What to listen for: A named system with a scoring scale. “We do a deep audit” is not a system. A useful follow-up: ask what a bad score looks like.

Our answer: We run the AlchemyLeads AI SEO diagnostic with our AI SEO agent. Seven dimensions, each rated on a defined scale, with the criteria written down. What comes out is a maturity stage and a ranked fix list you can act on in order. The full scope is on our digital marketing audit page.

12. Walk Me Through All Seven Dimensions You Score.

What to listen for: They can name every dimension without checking their notes, and they can say what data each one requires. A vendor who scores four things and calls it seven will stumble on this one.

Our answer: Here they are, along with the access each one needs.

Five of those seven have nothing to do with AI search directly, and that is deliberate. AI visibility built on a site that engines cannot crawl properly does not hold. We learned to be stubborn about this the expensive way.

An industrial cleanroom manufacturer makes the point better than any argument could. Average order value north of $50,000, real demand in the market, and a site quietly strangling itself: 933 pages tangled in mixed hreflang localization, plus 307 broken 404 errors. None of that sounds like an AI search problem. All of it was blocking one. Clearing it inside 90 days, alongside 120 mapped topics and 32 new posts, took monthly quote requests from 20 to 54 and moved new monthly sales opportunities from roughly $1M to $2.7M. Nobody rewrote a single answer for ChatGPT. The foundation was the work.

13. What Data Access Do You Need, and Specifically Why for Each One?

What to listen for: A justification per source. A vendor who asks for everything with no reason attached has not thought hard about what they are going to do with it.

Our answer: Search Console for query and indexation truth. GA4 for behavior and conversion paths. CMS access for content structure at scale. Server logs for what crawlers actually do. CRM or revenue data so the measurement connects to money. If you cannot grant one of those, we will tell you which dimension goes unscored. A guess dressed up as a score helps nobody.

14. Do You Audit at Scale, or Spot-Check Twenty Pages and Extrapolate?

What to listen for: A number. How many pages, and by what mechanism.

Our answer: At scale. Every crawlable URL gets scored programmatically, and then we hand-review the pages carrying commercial weight.

Scale is not an abstraction here. One 3PL warehousing client went from 40,000 to 180,000 monthly organic visits and now holds more than 8,000 keywords on page one. An online pet pharmacy sits at 13,459. Positions at that volume do not get found, fixed, or defended by sampling. Twenty pages out of a 4,000-page site tells you about those twenty pages, and in our experience the expensive problems live in the corners of a site nobody has opened in three years.

15. What Does the Diagnostic Cost, and Is It Credited Against the Engagement?

What to listen for: A real number, and a clear answer on crediting. A free audit is usually a sales document with an audit’s haircut. A priced audit is usually a deliverable.

Our answer: The AlchemyLeads AI SEO diagnostic is paid and scoped per site, credited against your first month if you move forward. Our current plans are on our pricing page. It takes 4 to 6 weeks from onboarding, mostly spent analyzing your own first-party data, and you keep the output whether or not you hire us.

16. What Is the Deliverable at the End, and Can I Take It to Another Agency?

What to listen for: Yes, without qualification. A diagnostic you cannot act on elsewhere is a lock-in device.

Our answer: You get the scores, the rubric, the ranked fix list, the prompt set, and the raw data. All of it is yours. Hand it to another agency and they can execute against it tomorrow. We want to win the work on the strength of the plan alone.

Group C: Questions About Results and Measurement

If you have been burned by an agency before, it probably was twelve months of dashboards that looked busy and never connected to a number your CFO recognized. Sessions rose and rankings improved, and nobody could say what any of it was worth.

These six questions make that particular failure very hard to hide. They are about how results get measured, which is harder to dress up than a promise. Questions 20-22 are the ones vendors like least, which is exactly why they earn their place. Each one invites the vendor to say something unflattering about themselves.

17. What Does Success Look Like at 90 Days, 180 Days, and 12 Months?

What to listen for: Different metrics at each stage. If 90-day success and 12-month success are the same metric, one of them is wrong.

Our answer: At 90 days, leading indicators: indexation fixed, extractability scores up, baseline presence established. At 180 days, presence and qualified organic sessions moving together. At 12 months, revenue attributable to organic and AI search, tracked separately.

Sometimes revenue shows up faster than that, and when it does we will happily say so; see how long AI SEO takes. The cleanroom manufacturer’s quote volume moved inside 90 days because the bottleneck was technical and the fix was immediate. The aerospace account took the full twelve months. What we will not do is promise you the fast version before we have seen your site. Anyone promising revenue at 90 days on a discovery call is selling you a timeline.

18. How Do You Attribute Revenue to Organic and AI Search Separately?

What to listen for: An admission that AI search attribution is partly dark, plus a real method for the part that is not.

Our answer: Referral data captures what the engines pass through, which is incomplete, and we say so upfront. We fill the gap with tracked landing paths, self-reported source capture at the form, and correlation between presence changes and direct or branded demand. Our analytics work sets all of this up before campaigns start, because retrofitting attribution after the fact never comes out clean. Much of it shows up as direct traffic, which we explain in the dark AI funnel.

19. How Will You Keep Us Updated, and Who Walks Us Through It?

What to listen for: A named person with a title who works on your account. It is also worth asking whether the person presenting actually did the work.

Our answer: You get a 24/7 real-time dashboard on your own tools, automated monthly updates, Slack or email notes when something moves, and a quarterly strategy review with the strategist running your account. When you ask why a number moved, the person answering can tell you, because they are the one who moved it.

20. What Is Outside Your Control, and How Does That Show Up in the Numbers?

What to listen for: A real list. A vendor claiming full control of outcomes either has not been doing this long or is not being straight with you.

Our answer: Core algorithm updates. Model retraining cycles. Your competitors’ spend. Your own product, pricing, and sales follow-up. We flag external events on the dashboard timeline so a drop caused by an update does not get blamed on the work, and, just as important, so a lift we did not earn does not get claimed as ours.

21. Show Me an Engagement Where Results Were Slower Than Expected.

What to listen for: A specific story with a diagnosis and a change made afterward. A vendor with no slow engagements has either not worked long enough or is editing the story.

Our answer: We have had them, and the pattern repeats: a site with deep technical debt, where the first three or four months go entirely to foundation work that produces nothing a client can see. Nine hundred broken localization pages do not photograph well on a dashboard.

Afterward we kept the plan and changed what clients see first. Leading indicators now sit in the 24/7 real-time dashboard from day one, so a client can watch progress accumulate before revenue catches up. Setting that expectation on day one turned out to be the real fix, and we now do it on every account where the diagnostic comes back heavy on technical debt.

22. What Is the Metric You Would Fire Yourself Over?

What to listen for: One metric, named quickly. Hesitation here means they have never defined failure for themselves, and a vendor who cannot define failure cannot recognize it either.

Our answer: Qualified pipeline from organic and AI search. If that number is flat at twelve months against a clean baseline, and no external event explains it, then we did not do our job. Rankings can rise and presence can rise, and if the pipeline never moved, none of it counted.

Group D: Questions About Pricing, Terms, and Who Does the Work

The commercial questions come last on the call and first in your actual decision. Everyone knows this, everyone pretends otherwise, and so the money conversation gets crammed into the final six minutes while the rep watches the clock.

Ask these plainly, and ask them early enough in the call to get real answers. A vendor who gets cagey about a price range will be just as cagey about a missed month.

23. What Does This Actually Cost? Give Me a Range Before the Call.

What to listen for: A number. An agency that will not price anything before a discovery call is protecting a number they already know you will push back on.

Our answer: Our plans and what each includes are on our pricing page, published on purpose so you can qualify us out before either of us spends an hour on a call.

24. How Long Is the Contract, and What Is the Exit?

What to listen for: The exit terms, specifically. Ask how easy it is to leave, whatever the length.

Our answer: Terms are set in writing before any work starts, and we walk through the exit terms on the first call so there are no surprises later. Ask every agency on your list for the same thing, in writing.

What should keep you with any agency is momentum you can see in your own numbers.

25. If We Leave, What Do We Keep?

What to listen for: Everything, listed out loud. Hedging about “proprietary methods” means part of what you paid for walks out the door with the agency.

Our answer: All of it. The content, the technical fixes, the dashboards, the prompt set, the tracking configuration, the documentation, the diagnostic output. It was built for your business with your budget. There is no version of this where we hold your own prompt set hostage.

Pricing and terms tell you what an engagement costs. The last four questions tell you what you are actually buying, which is people.

26. Who Specifically Works on Our Account, and How Many Others Do They Carry?

What to listen for: Names, titles, and an account load number. The pitch team and the delivery team being different people is normal in this industry. You deserve to hear about it up front.

Our answer: You meet your strategist before you sign, and that person stays on the account. We cap account loads deliberately, because a strategist carrying too many accounts has no room left to think about yours. If the people in your pitch meeting will never touch your account again, you deserve to hear that from the vendor on day one.

27. Is Any of the Work Subcontracted or Offshored? Say So Plainly.

What to listen for: A direct yes or no. Subcontracting is fine. Hiding it disqualifies.

Our answer: Strategy, technical work, and analysis are done in-house. Where we use outside specialists for production capacity, you are told which parts, and the output is reviewed by your strategist before it ever reaches you. No mystery layer between you and the work.

28. Can I Speak to Two Clients, Including One Who Left?

What to listen for: Genuine willingness on the second half. Every agency has happy references lined up. The client who left is where you learn something.

Our answer: Yes to both. Published reviews and case studies are on our reviews page with the numbers attached, and we will connect you with a current client and a former one. Ask the former client why they left. Sometimes the answer is us. Sometimes they built the capability in-house, which is a decent outcome for everyone.

29. What Would Make You Tell Us Not to Hire You?

This is the last question and the most useful one. Ask it, then stop talking and let the silence sit there.

What to listen for: A real list, offered without defensiveness. How a vendor handles this one question tells you more than the previous 28 combined.

Our answer: We publish the whole list on our who we don’t work with page. Three items from it matter most in this context.

We work best with companies doing $5M to $150M a year. If you are under about $5M in annual revenue, the math does not work yet, and we will tell you so on the call. If you have been through four agencies already, we will want to talk about why, because one bad agency is bad luck and four is a pattern. And if you are shopping for the cheapest option, that is not us. We never save pennies to lose dollars.

The rest of the list covers busywork with no tie to revenue, treating your website as a catalog nobody visits, permanent emergencies, marketing treated as a cost line, and plain old fit. We are blue collar about the work and we like working with people we like.

How to Verify an Agency’s AI Citation Results Yourself

You don’t have to take anyone’s screenshots on faith, including ours.

1. Ask for the exact prompts behind any citation claim, and the dates they were run.
2. Rerun them yourself in ChatGPT, Perplexity, Gemini and Google AI Mode, a few times each, since answers vary from run to run.
3. Check the cited URLs. Are they the client’s own pages, and do those pages still exist?
4. Ask what happened next. Citations matter when they lead to quote requests, meetings or revenue. Our published case studies on the reviews page show both sides.

Our free AI Visibility Checker runs the first pass for your own brand.

If you’d like to see how we’d approach your site, start with our SEO services, or meet the team at our Los Angeles SEO agency.

Ask Us the Same 29 Questions

You now have a standard. Use it on every vendor on your list, and use it on us.

Already working with someone? Here is how to switch SEO agencies without losing ground.

That is why all 29 answers are sitting above in writing. A checklist an agency will not answer about itself is marketing. A checklist an agency publishes its own answers to is something you can hold us against in month seven, when the honeymoon is over and the numbers are doing all the talking.

We hold one belief about this work that does not fit in a metric: growth is the byproduct, and the transformation of the people inside it is the point. That only happens when the work is real and the numbers are honest, which is what the 29 questions are for.

Bring the hardest question on the list. Book a strategy session with AlchemyLeads.

Hiring an AI Search Agency: FAQs

What should I look for when hiring an AI search optimization agency?

Look for seven things: AI citation results you can rerun yourself, a fixed prompt set that tracks mentions, citations and recommendations separately, in-house technical depth, answer-first content, measurement tied to quote requests and pipeline, case studies in your industry, and published pricing with your data staying yours. Avoid any agency that guarantees placement in ChatGPT or Google’s AI answers.

What are the red flags when hiring an AI SEO agency?

The six biggest red flags are guaranteed AI placement, screenshots offered as proof, mentions counted as wins with no link to pipeline, SEO deliverables with a new label, a black-box method, and an unnamed team with unclear exit terms. Two or more on the same sales call is usually enough to walk away.

Should I hire an AI SEO agency or build an in-house SEO team?

Hire an agency when you need technical SEO, content, digital PR and AI visibility tracking working together this year. Build in-house when you can fund several senior specialists and the time to hire them. Many mid-market companies pair an in-house marketer with an agency. Our agency vs. in-house comparison uses public wage data.

What should mid-market B2B companies look for in a GEO agency?

Mid-market B2B buyers should look for an agency that tracks the long, technical prompts their buyers ask, measures quote requests and meetings, and has case studies in their category. At AlchemyLeads, an industrial ground monitoring manufacturer earned 4,500 AI citations across just 18 pages in six months, and its requests for quote grew 170% to 748 in three quarters. See our industrial and manufacturing work.

Can an agency guarantee my brand will appear in ChatGPT?

No. AI engines choose their sources for every answer, and the same prompt can return different results on different runs. A good agency raises your share of answers over time, on a fixed prompt set, and shows you the trend on a dashboard you can open any time.

How much does an AI search optimization agency cost?

Most AI search agencies charge a monthly retainer priced by scope: the number of brands, channels, content and PR volume, and technical depth. AlchemyLeads publishes its plans on our pricing page, and our guide to AI SEO agency cost breaks down the whole market.

How is AI search optimization different from SEO?

AI search optimization builds on SEO and adds prompt tracking, answer-first content, entity consistency and work on the third-party sources AI engines quote. Most companies need both, because AI engines pull from pages search engines can crawl and trust. More in AI SEO and GEO.

How long does it take an AI search agency to show results?

Leading indicators such as indexation, extractability and baseline AI presence move first, and pipeline follows. A custom contract-furniture brand we work with went from 0 to 20 owned pages used as sources in AI answers in about four months from kickoff. Timelines depend on your site’s technical debt; see how long AI SEO takes.

How do I verify an agency’s AI citation claims?

Ask for the exact prompts and the dates they were run, rerun them yourself in ChatGPT, Perplexity, Gemini and Google AI Mode a few times each, check that the cited URLs are the client’s own live pages, and ask what happened to quote requests or pipeline afterward.

Is AlchemyLeads a good fit for my company?

AlchemyLeads is a good fit for industrial, manufacturing, aerospace, medical device / med-tech and high-AOV Shopify companies doing $5M to $150M in annual revenue. We are selective and only take engagements with a strong probability of success. 95% of new clients since 2020 stayed longer than 12 months (38 of 40). See who we don’t work with.