The Page Before the Pitch

A practical page test for turning native-ad interest into inquiries Sales accepts.

Today’s Playbook

An advertorial is essentially a promotional article that helps explain a buying problem before directing readers to a product or service page.

However, adding that extra step comes at a cost: some visitors will drop off. It only makes sense to keep it if the visitors who continue generate enough business to justify the traffic spend.

There is evidence that makes this approach worth testing. In Taboola’s Amplifon case study, the advertiser tested a direct sales page against an advertorial. The article-based approach generated more leads and stronger engagement. However, the case study’s headline results also reflect changes in bidding and other factors, so those improvements cannot be credited to the page alone.

My approach for B2B is simple: help potential buyers identify their situation, understand what’s causing the problem, and decide whether your solution is the right fit.

For example, a hypothetical industrial supplier could run an ad addressing repeated pump failures and direct readers to a guide explaining which operating conditions to examine before replacing equipment. The next step would be a requirements review, with the technical explanation approved by the delivery team.

Similarly, an agency could explore why scheduled sales calls often turn into price-focused discussions, then explain what information it needs to evaluate the customer acquisition process.

Consistency matters throughout the journey. Taboola’s landing page guide advises aligning the article’s message with the ad creative, clearly explaining the problem, and making the next action easy to understand.

The best approach is to test this with a single offer first. Buyers who are already actively comparing suppliers may still respond better to a direct sales page.

The Deploy

Your marketing lead manages the page. Sales defines an acceptable inquiry; delivery reviews the explanation; the media buyer manages the test.

1. Choose the outcome before writing

Agree on what Sales must confirm: a relevant need, a company you can serve, and a plausible project. Make sure rejection reasons are recorded consistently.

Use spend divided by Sales-accepted inquiries as the initial measure. Continue tracking quotes and won business afterward. Form submissions alone cannot show whether this approach helped.

2. Build one page around one buying situation

Follow this outline:

​
AD PROMISE: What brought the reader here?
SITUATION: What is happening in their business?
EXPLANATION: What might cause it?
CHECKS: What should they inspect first?
EVIDENCE: What can we substantiate?
FIT: Who can we help, and who needs another route?
NEXT STEP: What happens next, and what must they provide?
​

For the supplier, the checks could cover information the engineer needs before recommending equipment. For the agency, use real qualification questions from sales calls.

Write using approved material. Clearly label promotional articles and identify the business behind them, as required by Taboola’s landing-page policies.

3. Carry the visit into the CRM

Track which page version each inquiry saw. Keep campaign and publisher information so you can assess whether traffic differences influenced the result.

On Taboola, preserve its click identifier through the article, offer page, and form. The CRM tracking guide explains how to store that identifier with the lead and report later conversion events. Your developer manages the integration.

Submit a test inquiry. Verify that its version and source reach the CRM and that Sales can update its status.

4. Compare both routes fairly

Compare the existing direct route with the article route using a controlled traffic split. Keep the ad, offer, audience, and other conditions consistent where possible. Returning visitors should see the same version.

Before launch, define the spend ceiling, acceptable cost per accepted inquiry, review date, and time Sales needs to qualify each lead. The review date may arrive before you have enough evidence.

Here is hypothetical arithmetic, not an actual result or a sufficient test sample:

• Direct route: $500 spend, 20 inquiries, five accepted. Cost per accepted inquiry: $100.
• Article route: $500 spend, 12 inquiries, six accepted. Cost per accepted inquiry: about $83.

The second route generates fewer forms but more accepted inquiries. Calculate using the full advertising spend, including visitors who leave the article.

5. Decide what earned another test

Keep the article when accepted inquiries stay within your cost ceiling and subsequent sales progress supports the decision. Revise when visitors continue to the offer but Sales repeatedly rejects them for the same reason. Stop at the agreed spend limit if the economics don’t work.

If there are too few outcomes, record “inconclusive.” Review publisher and device results before blaming the page for differences caused by changes in traffic mix.

After two cycles, compare the cost per qualified activation with your next-best acquisition channel. Scale only when the result repeats.

My Take: Let Results Justify the Extra Step

I would use AI to organise approved sales objections into this structure, then have the team review every explanation and promise.

I would also keep the direct route available. An article earns its place by delivering better outcomes. Reading time and an additional click are only indicators.

Find Your Growth leak

If clicks turn into inquiries your sales team cannot use, Scale on Steroids connects campaigns, qualification and CRM handoff around the clients you want to win. Plan your Interest-to-Intent pipeline.

Find your growth leak -> scaleonsteroids​

NEXT STEPS

• Choose one offer and define a Sales-accepted inquiry.
• Draft the explanation page from approved sales and delivery material.
• Verify both routes reach the CRM with their source and version.
• Agree the spending limit and decision rules before buying traffic.

Stay weird,

Vaibhav

Approve the Scenes Before the Edit

Product-demo checks, November email requirements, and a better brief for your next video.

QUICKIES

AI product demos need a reality check​

Proveny promises story-driven AI ads that showcase physical products. Treat the accuracy of these demonstrations as something to verify. Compare the generated product’s shape, handling, and mechanism with real footage before approving the ad. Even a convincing scene needs to pass a product accuracy check.

Check your sending server this month​

Spamhaus is gradually enforcing basic DNS requirements from November, including a valid server greeting hostname (HELO), reverse DNS, and a matching forward record. Ask your mail provider to review the official guidelines. Permission, authentication, and good list hygiene remain just as important as the technical setup.

Turn Founder Video Interest Into Qualified Leads

When a useful founder video earns interest, Scale on Steroids helps connect the campaign to qualification and CRM handoff through our Interest-to-Intent Pipeline. Plan your client acquisition test.

Find your growth leak – ScaleOnSteroids​

THIS WEEK’S AI ARSENAL

​AirOps Ads Library​

Explore observed ChatGPT ads by brand or domain, along with the prompts where AirOps found them. Use the library to gather competitor messaging and inform your campaign brief. Keep in mind that its US prompt sample is not a complete ad inventory, a spending report, or evidence of ad performance.

​APIMart​

A single API gateway that gives you access to text, image, and video models through one account. Your developer can use it to compare different models within an asset-production workflow. Before replacing your current setup, test the output quality and actual job costs with a small batch.

Mini-Playbook: Approve the Scenes Before the Edit

Start with one useful answer your founder already shares with buyers. The goal is to create an approved scene plan first, followed by a finished short video.

Step 1: Choose one explanation

Select a 45–60 second clip that answers a single sales question. Transcribe it and check names, claims, and numbers for accuracy. Keep natural pauses wherever they make the explanation easier to follow.

Step 2: Create a small reference pack

Select three videos you own or have permission to use. Note the fonts, colours, caption placement, and how each video uses the speaker’s face, diagrams, or demonstrations. Save these details as a reusable editing brief.

Step 3: Request the plan first

Share the transcript, reference guidelines, and available assets with your AI assistant:

Step 4: Approve what each scene communicates

Keep the speaker on screen when introducing a point, and show the actual process when explaining it. For a video about the quotation process, for example, a request-to-specification-to-quote diagram gives the viewer a clear visual explanation. Remove decorative footage that doesn’t add meaning. The founder approves the message, while Marketing reviews the scenes and assets.

Step 5: Render, review, then finish

Ask the editor to render a short section first. Provide corrections with timestamps, approve the section, and then produce the remaining video and add sound. Review captions, claims, visual timing, and readability on a phone, both with sound on and off.

For code-based video production, Remotion supports coding agents and offers editing skills. This requires a working production setup; having a reference pack alone won’t generate the video.

NEXT STEPS:

• Choose one buyer question and one founder clip.
• Approve the scene plan before rendering.
• Review a short section, then finish and check the video.

Stay weird,

Vaibhav

Your Native Ad Starts Too Late

A practical brief for native-style ads that give the right buyer a reason to keep reading.

Today’s Playbook

Here, a native-style ad is simply an ordinary-looking photo paired with conversational copy. The key question is what that combination communicates to the buyer right away.

Start with one clear direction: a problem they want to solve or a result they want to achieve. Consider what they already know. Someone comparing suppliers needs a different introduction than someone who has never explored your category.

Consider this hypothetical packaging supplier.

The weak opening: “Last Tuesday, something happened in the warehouse that changed how we think about packaging.”

The clearer opening: “The box looked fine until the packed cartons were stacked.”

Pair the opening with a relevant photo, such as the damaged carton, with permission to show it. The rest of the copy explains what the supplier checks before recommending packaging, provides evidence, and offers to review the buyer’s requirements. This is an illustrative brief, not a real customer case study.

A random warehouse photo forces the reader to connect the dots. A relevant image helps the opening lead naturally into the explanation.

The longer copy still has a purpose: explain the cause, describe the approach, provide credible proof, and tell the reader what happens next. Remove the detours that add length without adding value.

Keep the same promise on the destination page. Google’s ad-writing guidance makes the same point for search ads: the products or promotions mentioned in the ad should also appear on the linked page.

The Deploy

Your marketing lead owns the brief. Sales provides the language buyers use. Delivery approves the explanation and evidence, while the media buyer manages the test.

1. Choose one buying situation

Review five recent qualified conversations. What happened that prompted the buyer to seek help? Note their exact wording and the service they needed. Choose one situation you can address with an offer you already provide.

For the packaging example, the situation is damaged shipments. The next step could be a packaging review, as long as your business genuinely offers one.

2. Approve the opening and image together

Write one clear, direct opening sentence. Pair it with a photo showing the same situation or desired result. Ask someone outside the campaign team what problem they think the ad is addressing.

If they cannot identify it, revise the sentence and image before writing the full story. When speaking in a customer’s voice, use your real business identity and approved customer accounts.

3. Write the continuation

Explain why the problem occurs, how your approach addresses it, and what evidence supports your explanation. Finish with one clear action. Include limitations alongside the promise whenever they affect the buyer’s decision.

Use this brief:

text
Buyer and buying situation:
Words from an actual sales conversation:
Problem removed OR result sought:
First sentence:
Matching photo and permission:
Explanation and approved evidence:
Offer and destination URL:
What makes an inquiry qualified:
Maximum acceptable cost per qualified inquiry:
Test owner, spend limit and review point:
Keep / revise / stop rule:
​

4. Check the route after the click

If the ad offers a packaging review, the destination page should explain what the review covers, what the buyer needs to provide, and what they will receive. Test the form on a phone, confirm who receives the submission, and establish who will respond.

Keep the destination unchanged during the initial creative test. Test a different page format separately once you have a reason to investigate the page itself.

5. Measure the concept against a business outcome

Compare the current ad with the revised opening-and-image combination. Keep the audience, offer, destination, and other settings consistent where possible. Treat this as a test of the combination; it cannot establish which individual component caused any difference.

Use an appropriate controlled test. Meta’s measurement course covers setting up tests and interpreting conclusive or inconclusive results.

Before launching, agree on the spending limit, review point, and evidence required to make a decision. Track spend per qualified inquiry and whether those inquiries progress to quotes or sales conversations. A cheaper click alone is not a reason to increase the budget. If there is insufficient data, record the result as inconclusive.

Keep the revision if it meets your agreed cost ceiling and Sales accepts the inquiries at least as often as before. Revise it if responses improve but buyer fit declines. Stop when the spending limit is reached, and investigate the offer or destination before funding another batch of creative.

Make Every AI Claim Count

I would give AI the approved brief after choosing the buyer situation and evidence. Ask for alternative openings tied to those inputs, then read every continuation before it ships.

A fluent paragraph can quietly add a customer story, a result, or a promise your team never approved. Keep the source material beside the draft.

The practical standard is simple: the buyer recognizes the situation, the image supports it, and the next step delivers what the ad led them to expect.

Find Your Growth leak

If your ads attract interest but Sales still gets poorly matched inquiries, Scale on Steroids connects buyer research and creative with qualification and CRM handoff. Plan your client acquisition test.

Find your growth leak -> scaleonsteroids​

NEXT STEPS

• Pull one buying situation from recent sales conversations.
• Approve a direct opening and a matching photo.
• Check the offer, form, and follow-up owner.
• Set the test’s spend limit and decision rule before launch.

Stay weird,

Vaibhav

Find the Page Missing From AI Answers

A small visibility check, clearer source pages, and two tools for the team.

QUICKIES

Agents will use pages as well as protocols​

Google expects browser-based agents and direct protocols to work alongside each other. Its commerce protocol already outlines how people could make purchases within AI experiences.

For now, test your existing inquiry journey. Can someone find your offer, understand the terms, and fill out the form on their phone?

Your topic cluster needs a buying problem​

Our guide starts with a problem that comes up in sales calls or lost deals, then builds out pages covering diagnosis, implementation, and services. Try “leads go cold after an inquiry” instead of “marketing automation.” Give each page a clear next step, and track qualified inquiries alongside traffic.

THIS WEEK’S AI ARSENAL

​LinkedIn Skills​

A collection of skills for Claude Code and Codex that help with LinkedIn drafts, comments, profiles, and content planning. Give it a real question from a buyer and your approved answer, and it can draft a founder post. Check the claims before publishing.

​Scrawl​

Record your screen as you talk, click, and draw. Scrawl turns the recording into annotated frames and a transcript that a coding agent can use. Show your developer exactly where a service page or inquiry form gets confusing. The Mac app requires Apple silicon and macOS 15 or later.

Mini-Playbook: Find the Page Missing From AI Answers

Use brand-gap analysis to decide what needs work before commissioning more content. Here’s a simple manual version your marketing lead can run.

Step 1: Write five buying questions

Use wording from actual sales calls. Include the service, buyer type, and constraints. For example: “Which maintenance provider handles weekend shutdowns for food factories in Pune?” Leave your brand name out.

Step 2: Record the answers and sources

Ask each question twice in fresh chats with a search-enabled assistant. Note the date, model, exact question, brands mentioned, and cited URLs. Treat this as a spot check; ten answers aren’t enough to establish your visibility across the market.

Step 3: Look for a recurring gap

Open the cited pages. Is a competitor explaining something your page leaves unclear? Is an independent directory leaving out your business? Focus on a question where the same gap appears in both runs. If nothing repeats, gather more observations before making changes.

Step 4: Make the right fix

For your own page, add a direct answer that explains the service, who it’s for, what it covers, and its limitations. Link to evidence you can back up. Read that section on its own: it should still make sense without the rest of the page.

If the gap is on a third-party site, send the publisher a factual correction or listing request with supporting evidence. They’ll decide whether to include you.

Step 5: Check what changed

Save the original wording and live URL. Two weeks later, ask the same questions again and track citations separately from brand mentions. Ask new inquiries how they found you, too. A different answer is worth noting, but it doesn’t prove your edit caused the change.

Close the Gaps in Your Service Page

When the missing answer belongs on your service page, our Service Page SEO Sprint helps you write the brief for that edit: who it serves, what’s included, what’s excluded, and what happens next. Seven lessons, $27 once.

Find your Growth leak >>> Scale On Steriods​

NEXT STEPS

• Ask Sales for five buying questions.
• Save ten answers and open their sources.
• Assign one documented fix and a review date.

Stay weird,
Vaibhav

AI Data Brokering: Would I Build It?

The buyers exist. Here’s what I’d check before chasing the referral fee.

Today’s Playbook

What are we actually selling?

Businesses build up records of how work gets done, including project histories, internal documentation, support tickets, decisions, and revisions.

AI buyers are looking for material that can help models learn from real-world work. Scale’s data partnership programme specifically seeks operational workflows from established businesses. Similarly, Polyshares states that it licenses operating records directly and supplies them to AI labs.

This suggests there is a market worth exploring. However, it doesn’t establish how frequently independent referrers actually receive payment.

The simplest way to approach this venture is by sourcing introductions. You identify a suitable company, obtain its permission, and connect the relevant decision-maker with a buyer. The buyer then evaluates the records and negotiates the licensing agreement. You receive a referral payment if the agreed conditions are fulfilled.

Building a data advisory business involves much more work, including assessing data assets, negotiating rights, and managing delivery. I wouldn’t recommend starting at that level.

The fee is attractive. The conditions matter more.

​micro1 advertises payouts of up to $50,000 for each company referral. According to its website, Workflow referrals require onboarding and meeting a minimum revenue threshold to qualify for payment, while Corpus referrals are paid after the data has been accepted. Applications must also include the correct referral attribution.

That is enough to make the opportunity interesting. However, it is also a reason to examine the terms carefully.

The referral terms dated October 14 require consent from an authorised company representative, and existing leads are not eligible. Referrers are also prohibited from presenting themselves as agents or representatives of micro1. Payments remain subject to the company’s discretion and may be withheld or reclaimed. Additionally, termination may result in the loss of unpaid referral payouts.

These are significant commercial risks to consider. A promising introduction does not automatically translate into money you can count on.

Who has a useful advantage here?

I would prioritise people who already have trusted connections with established business owners. This could include agency founders or industry professionals who can reach the person responsible for the company’s records.

A scraped directory can provide names, but the more challenging part is having the conversation: “Would you be open to allowing another company to use part of your operational history?”

According to micro1’s published criteria, suitable companies should have mature operations, at least 30 employees, and documentation primarily in English. The programme also currently favours businesses based in the US. A small local shop with only a few spreadsheets may therefore be unsuitable for this particular opportunity.

Finding the right fit matters more than simply increasing outreach volume.

The Deploy

How I’d test it without building a whole agency

Owner: you, the founder. I’d set aside one week to test access and buyer interest. That is a discovery sprint, not a payout deadline.

First, verify the current requirements with one buyer. Get written confirmation of the accepted company profile, referral attribution rules, payment triggers, and exclusions. Ask what happens if the seller withdraws from the process. If the commercial terms don’t make sense for you, stop here.

Next, select ten companies you can realistically reach. This is my suggested pilot size, not a benchmark for expected conversions. Focus on one industry you understand. Check whether each company has meaningful digital records and an authorised representative willing to discuss them.

Begin with a conversation rather than requesting a data export. I’d say:

Qualify the opportunity before making the introduction. Use this card:

Company and authorised contact:

Buyer and current fit criteria:

Record types, approximate volume and history:

Who controls the records and can approve sharing:

Restrictions requiring review:

Consent and referral attribution confirmed:

Payout conditions and next decision date:

Hours and cash spent so far:

I’d keep the pilot focused on introductions. The company owner and buyer should work through permissions, confidentiality, and data handling using their agreed process. “Anonymised” does not mean you have permission to distribute someone else’s archive.

From Introductions to Actual Earnings

My verdict: explore it if you have the right connections

I would investigate this opportunity through existing relationships rather than building a cold outreach system around the advertised commission just yet.

For the pilot, I’d move forward if a buyer confirms that the company fits their requirements and an authorised owner agrees to take the next step. I’d put things on hold if ownership or usage rights are unclear, and walk away if the referral terms or potential earnings don’t make financial sense.

Keep track of consented introductions, accepted opportunities, and actual cash received as separate measures. Before scaling, I’d want evidence that this work can generate paid results at a cost I can reasonably sustain.

To assess the economics, deduct research, outreach, and follow-up expenses, including the value of your time, from the money actually received. Include the effort spent on introductions that get rejected, too. Until there is evidence of paid outcomes, the expected return remains uncertain.

The real advantage lies in building an owner’s trust and assessing opportunities effectively. That requires more judgement than simply finding an email address.

Find Your Growth Leak

If your existing B2B business needs a clearer path from interest to qualified sales conversations, my team at Scale on Steroids can help. Tell us about your client acquisition challenge.

Find your growth leak -> Find your growth leak.

NEXT STEPS

• Read one buyer’s current programme and referral terms.
• List ten companies you could approach credibly.
• Seek permission for a fit conversation before submitting a referral.

Stay weird,

Vaibhav

P.S. Should I do more Venture Checks? Hit reply and tell me: did you enjoy this format, did it help you judge the business, and what would you want me to examine next? “Interesting, but I needed more on ___” is useful feedback too.

Your Competitor’s Ads Aren’t a Scoreboard

A practical workflow for separating what you saw, what you inferred, and what you should test.

Today’s Playbook

AI makes it easy to go from an ad sample to a complete strategy. It can generate a buyer profile, winning hooks, suggested formats, and a month’s worth of copy in minutes.

But some of that is useful analysis, while some is guesswork presented just as confidently.

​Meta’s Ad Library lets you look at public ads. Its API documentation explains the available creative and delivery-date fields, though the information varies by region and ad category. What these records don’t tell you is whether a commercial ad is actually profitable.

Keep three things separate:

• Observation: what the ad actually shows. The headline points to an implementation problem, the CTA offers a checklist, and the landing page explains what happens next.
• Hypothesis: why that message might appeal to a buyer. For example, the checklist could help them explain the problem to their team.
• Test: how you’ll find out whether the idea gets your own buyers to take action.

An ad running for a long time is worth looking into, but it doesn’t reveal its conversion rate. Several similar ads suggest a repeated message, not necessarily that most of the budget went toward it. And an AI-generated audience profile is still an assumption unless the source supports it.

The same approach works beyond Meta. Google’s Ads Transparency Center guidance explains how to search by advertiser or website and filter by region and date. Keep those filters with your export so your team knows exactly which ads they’re reviewing.

At the end of your research, aim for one clear test card—not a folder full of ads labelled as winners.

The Deploy

Owner: Your marketing lead keeps the evidence organised, Sales checks whether it reflects real buyer concerns, and the person responsible for delivery approves any promises you plan to make.

1. Define the buying problem

Choose one offer, one buyer segment, and one country. Ask Sales which concern keeps coming up in relevant conversations. Then pick three competitors addressing that same problem. A well-known brand from a different category won’t give you a useful comparison.

2. Save a small, traceable sample

Start with up to ten distinct ads per competitor. Record the advertiser, library ID or link, capture date, filters, exact claim, CTA, format, and destination URL. Mark the sample as partial, and group near-identical versions together so one repeated creative doesn’t count as ten separate pieces of evidence.

Visit each landing page and check whether it delivers on the ad’s promise. Save a screenshot or excerpt with the URL. If you later automate page checks, Firecrawl’s change tracking can compare a page with an earlier scrape. Your first capture gives you a baseline, but it can’t show what changed before that.

3. Ask AI to show its working

Give AI the saved material and this instruction:

Check the original records before accepting any patterns. If a summary doesn’t include accessible supporting evidence, send it back for revision.

4. Approve one test card

Consider this hypothetical example for an IT services business. Competitor ads promote an assessment, while Sales reports that prospects struggle to explain security gaps to their finance lead. One idea to test is a clear, shareable assessment report, backed by your own delivery process and evidence.

Fill in this card:

text
Observed pattern + evidence link:
Buyer concern + evidence from Sales:
Our hypothesis:
One message or offer element to change:
Existing version to compare with:
Approved proof and scope:
Primary outcome + measurement source:
Budget limit, review date, owner:
Keep / revise / stop rule:
​

Move ahead only when the source is accessible, Sales recognises the concern, the delivery team can support the promise, and measurement is ready. If any of these checks fails, pause the test.

5. Make the decision using your own results

Keep the audience, channel, and offer stable where practical, changing only one element at a time. Use the platform’s experiment feature if available. Track qualified inquiries and their progress toward sales, along with cost and response volume.

Set the decision rule before launching. If there’s not enough data to draw a conclusion, mark the result as inconclusive. If traffic or targeting also changed, note that the results are harder to interpret. A test might show that something needs revising; it doesn’t have to produce a winner on schedule.

Find your growth leak

If you want campaign research connected to qualification and sales feedback, Scale on Steroids’ Interest-to-Intent Pipeline brings those steps into one working process. Tell us about your business to plan a client acquisition test.

Find your growth leak -> S​caleonsteriods​

Automate Only What You’ve Validated.

I would automate collection after the team has completed this manually and used a test card to make a decision.

Otherwise the agent produces more material while nobody knows what deserves attention. The useful output is a small queue of verified observations with clear buying relevance. Keep rejected ideas too, with the reason: wrong segment, weak proof, impossible promise, or no measurable outcome.

Next week, revisit those reasons before gathering more ads.

NEXT STEPS

• Pick one offer, one buyer problem, and three relevant competitors.
• Save a small ad sample with source links, dates, and filters.
• Approve one test card with Sales and delivery.
• Set the measurement and decision rule before launching.

Stay weird,

Vaibhav

One Buyer Objection. Three Video Scenes.

Fresh visual releases, two specialist tools, and one objection you can explain in 30 seconds.

QUICKIES

Your proposal can become an editable explainer​

On October 8, Anthropic launched Claude Motion in beta for Team and Enterprise. It can animate text, charts, shapes, and images, lets you adjust wording and timing, and exports videos as MP4s. Enterprise admins need to enable it first.

Use it to walk someone through an implementation sequence or make a pricing model easier to understand. Since it builds animations as code, it works best for explaining material you already have. Start with an approved diagram or report and ask it to tell one clear story.

Check the watermark before calling it real footage​

On October 7, Google made SynthID Detector available globally in English. It checks images, videos, and audio for watermarks from Google and participating partners.

Add it to your review process when you’re unsure where an asset came from. But remember, no watermark doesn’t prove the footage is authentic; content outside supported systems may not carry one. When using customer proof, keep the original asset and its source alongside the edited version.

Find Your Growth Leak

If the same objections keep appearing in your sales calls, Scale on Steroids’ Interest-to-Intent Pipeline connects buyer research, campaigns, qualification, and sales feedback. Tell us about your business to plan a client acquisition test.

Find your Growth leak >>> Scale On Steriods​

THIS WEEK’S AI ARSENAL

​HyperFrames Studio​

A desktop video workspace for Mac and Linux where an agent creates the video, and you can make changes by typing, pointing, drawing, or leaving comments. Use an approved diagram and real product images to walk viewers through a setup step. It requires a HeyGen sign-in and an agent connection, so check the setup before handing it over to your editor.

​Executor v2​

Infrastructure that connects your existing agent to tools, reusable skills, and scheduled workflows. A technical teammate could use it to build a weekly queue of approved demo assets and unanswered buyer questions. Executor runs the software your agent builds, so start with a small workflow, define its sources, and test it before expanding.

Mini-Playbook: One Objection, Three Scenes

Make a short explanation Sales can use when a buyer asks how the service works. Aim for about 30 seconds. Treat this as a workflow to test, not a proven conversion win.

1.Pick the hesitation

Ask Sales which question keeps slowing down conversations. For example: “Will implementation interrupt our team?” Work with your delivery lead to confirm the answer before creating a video.

2. Gather the proof

Collect an approved process diagram, a genuine screenshot or product photo, and the relevant scope or timeline. Remove anything you cannot share, and make sure every number in the script has a source.

3. Write three scenes

Start by naming the concern, then show the process your team follows, and finish with supporting evidence and one clear next step. For the implementation example, show who handles preparation, where the client gets involved, and what is checked before handover.

4. Build and review

Use HyperFrames Studio or Claude Motion if your plan includes access. Ask it to create a three-scene explanation using only the supplied facts and assets. Check names, numbers, labels, and timing. Clearly label illustrations and leave customer evidence unchanged.

5. Test it in the next relevant conversation

Let the sales rep decide when to use the clip. Note whether the buyer still asks the same question and what remains unclear. Improve that part before creating more videos.

The deliverable: One approved clip, its source folder, and a note explaining when Sales should use it.

Find Your Growth Leak

Put the written explanation beside the relevant offer too. The Service Page SEO Sprint helps you turn that page into a practical brief your team can implement.

Find your Growth leak >>> Scale On Steriods​

NEXT STEPS

• Get one recurring objection from Sales.
• Find the real assets that answer it.
• Build three scenes and have your delivery lead approve them.

Stay weird,

Vaibhav

​

Build an Offer a Stranger Can Say Yes To

Turn buyer objections into a clearer offer, with an AI worksheet you can use this week.

Today’s Playbook

A buyer can be new to your business and already be actively looking for a solution. Another may know your name but still have no reason to buy. Treat familiarity and buying readiness as two separate questions.

Start with the situation: what happened, what has the buyer already tried, what went wrong, and what would a useful outcome look like?

Here’s a hypothetical example. An agency owner wants regular LinkedIn content but has already purchased a writing package that required hours of founder interviews. Selling “more posts” misses the real concern. A package built around existing call notes, a clear approval window, and a named editor addresses the workload that caused the previous attempt to fail.

Each component should have a clear job. The call notes provide the material. The approval window keeps review time limited. The editor takes ownership of delivery. If these are already included, explain them clearly. If they’re missing, check whether you can add them profitably.

Buyer objections can help reveal the gap, but they need to be interpreted. HubSpot’s objection-handling guide notes that a price complaint can sometimes hide concerns about risk, implementation, or timing. Ask what’s really behind the objection before changing the offer.

Then separate the common need from the occasional request. Most suitable buyers may need onboarding, while only some may need a migration from a specific system. Keep the first in the core offer and make the second a scoped option. One conversation is a signal to investigate, not a reason to rebuild the entire service.

The Deploy

Owner: The founder or marketing lead should own the offer review. Sales brings in the language they hear from buyers. Before any new promise is added, Delivery should confirm the scope, capacity, and cost.

1.Gather evidence from one buyer group. Start with ten recent conversations, including buyers, stalled opportunities, and lost deals. Keep referral leads separate from people who came through ads or outreach. Ten is a useful starting point, but it is not enough to prove a statistical pattern.

Use your notes or approved transcripts. Remove any identifying information before adding them to an AI tool. If you don’t have enough conversations yet, speak with potential buyers about the last time they tried to solve the problem. Don’t use AI to make up their frustrations.

2. Copy this worksheet. Keep one row for each buyer so that one talkative prospect doesn’t end up counting as five different opinions.

Buyer ID / acquisition source:

What triggered the search:

Previous attempt and what failed:

Desired outcome, in their words:

Purchase blocker / delay:

Exact supporting quote or note reference:

Current offer component that addresses it:

Possible change / delivery cost / owner:

Decision: clarify / core / optional / investigate / no change

3. Have AI sort the material. Use this prompt with the worksheet and your current offer:

Use only these buyer notes and this offer.

Group recurring purchase blockers. For each, show buyer IDs,

supporting quotes, and number of distinct buyers mentioning it.

Separate active solution-seekers from people still exploring.

Distinguish missing information from missing delivery scope.

Suggest: clarify existing scope, investigate a core change,

offer an optional service, or make no change.

List missing evidence. Do not invent results, guarantees,

customer motives, prices, or capabilities we do not have.

A human should review every quote and classification. Look at how often something comes up, but also consider whether the people mentioning it are actually the buyers you want to serve. If the same request keeps coming from the wrong audience, the problem may be targeting rather than the offer.

4. Choose one change. If your service already addresses the concern, make the page clearer. If the right buyers repeatedly need something that’s missing, ask Delivery to assess the cost of adding it. If only a small number of buyers need it, keep it as a separate option with clear terms. If the real issue is weak demand or a lack of buying authority, adding a bonus won’t solve it.

Make sure the approved promise is consistent across the ad, landing page, and sales explanation. Google’s landing-page guidance recommends keeping the landing page and call to action aligned with the ad. Unbounce’s copywriting guide also covers message match. Neither, however, proves that your offer can actually deliver what it promises.

5. Review the next comparable set of inquiries. Track qualified inquiries, meetings held, proposals, wins, and the original blocker. Keep the audience, spend, and follow-up process as consistent as possible, and note any other changes you make.

Keep the revision if suitable buyers understand the offer more clearly and Delivery can support it. If the same blocker continues, investigate further. If you don’t have much data yet, keep reviewing rather than calling a winner based on a single sale.

Know What the Buyer Really Needs

Before adding anything, ask: “Does the buyer need another deliverable, or do they need confidence that someone owns the next step?”

Sometimes the missing piece is a named owner and a clear handoff. Sometimes it is real implementation work. Those have different costs. Do not let AI quietly turn the second into a free bonus.

If you want help connecting your offer to qualified B2B conversations, Scale on Steroids builds the campaign, fit checks, and sales feedback loop around that path.

Find your growth leak -> Find your growth leak.

NEXT STEPS

• Gather ten buyer conversations from one audience.
• Fill the worksheet and check AI’s groups against the notes.
• Get Delivery’s approval for one offer change.
• Review the next inquiries for fit, understanding, and the original blocker.

Stay weird,

Vaibhav

P.S. If a bonus cannot explain which buyer problem it solves, it probably needs to leave the page.

Answer the Buyer’s Next Question

Ads you can chat with, AI brand summaries, and a page update you can make this week.

QUICKIES

YouTube wants to answer the shopping follow-up​

YouTube is making product research more interactive. Its Ask YouTube feature is bringing together product reviews and recommendations, including comparison tables. Viewers can ask follow-up questions directly on the watch page or use voice controls on TV.

This creates an opportunity for your next product demo. Go beyond the headline and cover the questions buyers are likely to have: Will it work with what I already own? What are its limitations? How difficult is the setup? What makes one option different from another?

Your brand name can trigger an AI Overview​

A small test involving around 100 major brands found that Google showed AI Overviews for 93% of them, often below the brand’s own search result. That’s what happened in this particular sample, not a figure that applies to every business.

Try searching for your own brand. Look at how Google describes your business, which services it mentions, and the sources it uses. If something seems inaccurate, save the details and identify which public page could help correct it.

Make your service page clearer

If your service page leaves buyers guessing what they would pay for, the Service Page SEO Sprint helps you turn it into a practical page brief. Seven lessons, about two hours, $27 once.

Explore the Service Page SEO Sprint >>> Scale On Steriods​

THIS WEEK’S AI ARSENAL

​Autonoma​

Autonoma uses AI and real browsers to test application flows on preview deployments. After a release, your developer can use it to check the full inquiry-to-booking journey and catch broken forms before they start costing you campaign traffic.

It does require some technical setup, so this is one to bring to your developer rather than treat as a plug-and-play tool.

​LinkedIn Skills​

This collection of Claude Code and Codex skills helps with drafting LinkedIn posts, comments, content plans, and profile copy.

Here’s a simple way to put it to use: take a question buyers ask repeatedly and turn it into a founder post. Just make sure someone reviews the facts and wording before it goes live.

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Mini-Playbook: Answer the Buyer’s Next Question

Wayfair is testing an ad that opens a branded chat. Instead of immediately sending the shopper to a website, the ad lets them ask the business more questions inside ChatGPT.

​OpenAI announced Sponsored Agents as a test with select US advertisers. The sponsored conversation is separate from ChatGPT’s independent answer; the user can follow a website link when ready. Wayfair confirmed a limited pilot to Digiday.

The useful lesson for a service business: prepare the answers that come after initial interest. You can do that without access to the pilot.

Step 1: Choose one service

Start with the page that already receives inquiries. Your marketing lead handles the edits, while Sales shares real questions from recent calls and emails.

Step 2: Gather ten buying questions

Include questions about price, what affects the price, what’s included or excluded, timelines, customer fit, proof, what you need from the client, support, and how to get started. Use the buyer’s own wording wherever possible.

Step 3: Write two useful sentences for each answer

The first sentence should answer the question directly. The second can explain a condition, point to proof, or suggest the next step. If pricing varies, explain what affects it and how a quote is prepared. Ask the person delivering the service to approve every claim.

Step 4: Add the answers near the offer

Place the Q&A on the relevant service page, close to the scope and inquiry button. Check how it appears on mobile and make sure buyers have one clear way to enquire after reading.

Step 5: Review the results

Over the next two weeks, ask Sales which questions keep coming up and track inquiry volume and qualified conversations. Update any answers that are still unclear. The goal is to make things clearer for buyers, not to guarantee an improvement in AI citations or search rankings.

Find Your Growth Leak

If the page is clear but the leads still do not fit, Scale on Steroids can review the path from campaign promise to qualified B2B conversation.

Find your Growth leak >>> Scale On Steriods​

NEXT STEPS

• Pick one service page and gather ten real questions.
• Approve the answers with your delivery lead.
• Publish, then review the next two weeks of inquiries.

Stay weird,

Vaibhav

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The Local Visibility Trust Check

Practical way to find the gaps behind a local visibility drop.

QUICKIES

A topic cluster should lead somewhere commercial​

The cluster itself isn’t the win. What matters is the path from a buyer’s problem to a qualified conversation.

Before planning ten more articles, identify the commercial question those articles are helping answer. Otherwise, you’re building a publishing habit, not a useful cluster.

Do not reduce AI visibility to one score​

A brand mention, a citation, a referral, and a qualified opportunity are all different signals. Track them together, but don’t treat them as if they mean the same thing.

Use a consistent set of buyer prompts, then compare what you see with your analytics and CRM outcomes.

THIS WEEK’S AI ARSENAL

​TwelveLabs​

TwelveLabs makes video searchable and can analyse scenes and moments, not just transcripts. Use it to pull useful proof from job-site footage, customer calls, or demos for local pages and sales conversations.

​Local Falcon​

Local Falcon scans visibility across a geographic grid rather than giving you one rank from one location. Save a small baseline grid around the area you serve, then compare it after a verified correction. It is a diagnostic, not a promise.

Mini-Playbook: The Local Visibility Trust Check

Google says local results are mainly shaped by relevance, distance, and prominence. When a profile starts losing ground, first make sure the basic business facts match everywhere customers can check them. Google’s local ranking guidance explains this directly.

Step 1: Write down what changed

Start with the timeline. Record when the change happened, which searches and locations you checked, any profile edits, review activity, website releases, and changes to your contact details. Get the facts down before deciding what caused the drop.

Step 2: Check the profile against the real business

Review the name, category, address or service area, phone number, website, and hours. Use Google’s profile guidelines as your checklist rather than trying to fill the profile with extra keywords.

Step 3: Check review activity for policy risk

Don’t try to manufacture a recovery through incentives or pressure. Google doesn’t allow businesses to offer something in exchange for reviews, changed reviews, or removed negative reviews. Ask for honest feedback instead. Review guidance is here.

Step 4: Check the destination page

Open the website linked from the profile. Does it show the same business name, phone number, location or service area, and promise? If something genuinely doesn’t match, fix that before rewriting the copy based on a ranking theory.

Step 5: Recheck one baseline

After making a correction, run the same searches from the same locations on the same schedule. Keep track of the date, search, location, profile fact check, page fact check, review action, change made, observation, and next check.

The goal isn’t to reverse-engineer Google. It’s to make your next decision using actual evidence.

Fix the Gaps That Matter

The Fix Kit is built for businesses with a Google listing, a website, and customers nearby. Go through the page, make the changes yourself, or use it as a brief for someone else. Get the Local Visibility Fix Kit.

NEXT STEPS

• Choose one location and one search phrase that matters commercially.
• Run the five-point check before making another profile or website change.
• Keep one shared record of the change, the evidence, and the next review date.

Stay weird,

Vaibhav

P.S. A local listing isn’t a separate marketing channel. It’s a very public test of whether your business can keep its own facts straight.

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