AEO pitch builder

Walk into the pitch with the deck already written.

Wellows builds a white-labelled AEO pitch deck about your prospect: how often AI answers cite them, which competitors get cited instead, and a dated 30-day plan to change it. Your agency on the cover and the close, ours on none.

Included on every plan at no extra cost. The sample opens without an email.

The gap

The measurement ends in a dashboard. Dashboards do not leave the room.

Measuring a prospect before the meeting is normal now, and some platforms meter it by the pitch. What none of them produce is the thing the prospect forwards to the three people who were not on the call.

The difference is not the measurement. It is what is still readable a week after the call, by someone who was never on it.

  • The audit already exists

    Measuring a prospect before the meeting is table stakes, and more than one platform ships a dedicated pitch workspace for it. We are not claiming that ground.

  • The artefact does not

    They finish in a live workspace, or in a recipe for building the slides yourself. The people who approve the budget were not on the call, and a login is not a leave-behind.

  • So it still gets built by hand

    Screenshots pasted into slides the night before, every number retyped, the plan invented from scratch. That is the work the tool was supposed to remove.

What is in the deck

Ten slides, from where they stand today to a plan for the next thirty days.

The spine agencies already pitch: where you stand on the questions that win new customers, who is taking the answers instead, which engine is weakest, and the three levers that close the gap — ending on a dated 30-day plan and the ask.

  1. 01 · Cover

    Your customers are asking AI. Are you in the answer?

    The category question, the engines buyers use, and the agency mark.

  2. 02 · Where you stand

    On the questions that win new customers, AI cites you 6.9% of the time

    Non-brand citation share against five named rivals, and the goal.

  3. 03 · Your own name

    When AI answers questions about you, is it quoting you — or someone else?

    Own-domain coverage, third-party sentiment, and coverage per branded prompt.

  4. 04 · Across engines

    Google’s AI Overview is where you’re weakest

    Share per engine, with the weakest one marked as the floor.

  5. 05 · The opportunity

    From 6.9% to 11.4% — here’s what it takes

    The gap to the goal, and the three levers that close it.

  6. 06 · Lever 1 · Create

    29 topics where competitors show up and you don’t

    Gap topics, their cluster and intent, ranked by citation impact.

  7. 07 · Lever 2 · Outreach

    24 pages cite your competitors — but not you

    Third-party pages already cited, each with a path to being added.

  8. 08 · Lever 3 · Optimize

    11 pages already rank — AI just isn’t pulling the answer out of them

    Existing pages ranked by impact against effort, as phase 2 work.

  9. 09 · The plan

    Your first 30 days to 11.4%

    Four weeks, the action in each, and the one to start with.

  10. 10 · The next step

    Own the answer before your competitors do

    The totals, the ask, and the agency’s own contact block.

Scroll for all ten →

Titles are taken from the sample deck, which is built on a fictional prospect in a fictional category. Every percentage in it is that sample’s own figure, not a benchmark and not anyone’s result. Illustrative data.

The costed plan

The deck builds to a dated plan, not a list.

Week by week for thirty days, with a baseline date, a target date and the one action to start with. In the sample deck it is the slide right before the ask, and it is the part most audits do not have.

Checked against every agency-facing AI visibility product we could find, September 2026. All of them stop at recommended next steps.

Proposed, not yet in the sample: an hour count and a named owner on every line, so the plan can be priced at your own rate rather than estimated.

  • Sequenced, not listed

    Content first, outreach second, optimisation last. The ordering is not left to the client.

  • An owner and an hour count on every line

    Proposed. Not in the sample deck yet — the plan slide there names the week and the action.

  • Expected, not guaranteed

    Week one starts on the single biggest win: one page worth +11 citations in the sample. That is a forecast. Nobody can guarantee a citation.

The plan slide with the proposed hours-and-owner columns added — the sample deck's own slide 9 carries the week and the action only. Built on a fictional prospect and the agency’s own rate. Illustrative data.

The sample deck

Read the whole deck before you decide.

The full sample, all ten slides. Fictional brand, fictional competitors, real structure. No email, no signup.

Open the sample deckOpen the sample AEO pitch deck. Without JavaScript this opens it in a new tab.

Ten slides, from where you stand today to a 30-day plan. This sample is measured on two engines; a live project measures whichever engines you set it to. Illustrative data.

How it works

Point it at a domain. Four steps to a finished deck.

No MCP to wire up, no template to maintain, no spreadsheet with one row per prompt and one column per engine.

  1. Name the prospect and who they lose to

    The domain you are pitching, and the competitors to benchmark it against. Nothing to install, and no access to their site or their analytics.

  2. Wellows runs the prompt set

    The same prompts, repeatedly, across the answer engines over a measurement window. Every figure is a frequency across those runs, not one answer on one day.

  3. The deck generates in your brand

    Your logo, your colours. Ten slides, from where the prospect stands today to a dated 30-day plan.

  4. Edit it, then send it

    Change any slide and cut what does not apply. Present it live or send it on. Our name is not on it.

Included on every plan at no extra cost. There is no pitch-deck add-on to buy.

White-label

Your brand on a document about a company that is not your client yet.

White-label reporting is normal after the contract is signed. This is the version you hand over before it is: your logo and name on the cover, your contact details on the close, and nothing of ours on any of the ten.

The title slide and the exported file of the same sample deck, built on a fictional prospect. Illustrative data.
  • In the room

    Nothing of ours appears

    No client-facing Wellows branding appears anywhere. You stay the agency in the room; we stay behind the scenes.

  • Front and back

    The cover and the close

    Your logo and name open the deck; your logo and contact details close it. The slides between carry the prospect’s domain. Open the sample above and check it end to end — there is no Wellows string on any of them.

  • On every plan

    From day one, not a premium unlock

    Branded delivery never depends on moving up a tier, and there is no per-report or per-client charge for it.

How we measure it

We sample. We do not snapshot.

Ask an AI the same question twice and you rarely get the same list of brands back, so the deck never reports one run. Every figure in it is a frequency across repeated runs over a stated window, so even the rank on it is a rank of frequencies, not of one answer.

The odds of getting the same list of brands twice came back under 1 in 100.
SparkToro and Gumshoe, 28 January 2026, across 2,961 runs of 12 brand-recommendation prompts. Read the study. It is the reason the deck is built this way.

So this is printed under the headline figure

The prompt set
How many prompts, and what they asked for.
The engines
How many the run covered. The cover and slide 4 name them.
The run count
How many times each prompt was asked, on each.
The date range
The window the runs were spread across, to the day.

One prompt, twenty-four observed answers, nine citations. The deck does the same across the whole prompt set. Illustrative data.

The deck says which engines it measured

The sample’s cover shows five engines buyers use and says, right beneath them, that two were measured. Slide 4 reports those two by name and says no figure in the deck describes the other three. Five logos over data from two, unexplained, is the defect that gets a deck pulled apart in front of the prospect.

What the plan will never recommend

  • Bought or altered citations
  • Listicles written to place a brand
  • Recommendation poisoning

All three are named in Google’s Search spam policies, and the plan does not bill for the three things Google says are not required either. Both are sourced below.

Sources for this section

2,961 runs of 12 brand-recommendation prompts on ChatGPT, Claude and Google AI Overviews / AI Mode, 600 volunteers, data collected November–December 2025. Rand Fishkin and Patrick O’Donnell, SparkToro and Gumshoe.ai, published 28 January 2026. The same list in the same order came out closer to 1 in 1,000. sparktoro.com

Google updated its Search spam policies on 15 May 2026 to cover attempting to manipulate generative AI responses in Google Search, naming bought or altered citations, biased listicles and recommendation poisoning, with penalties from demotion to removal from Search. developers.google.com

The three things the plan does not bill for, because Google says they are not required: an llms.txt or other AI text file, breaking content into tiny pieces, and AI-specific structured data. Google Search Central, “Optimizing your website for generative AI features on Google Search”, published 15 May 2026, last updated 10 July 2026. developers.google.com

The sampling diagram above is drawn, not measured. Illustrative data. Every domain it names sits in the reserved .example top-level domain, which cannot be registered by anyone.

Where this sits

Pre-sale measurement is everywhere now. The deck is not.

Measuring a company before they are a client stopped being unusual some time ago, and the first column below concedes it to everyone. The rest are what decides whether the measurement survives the meeting: a finished deck, white-labelled for pre-sale, ending on a dated plan with its effort scoped, at no extra cost per pitch. That is the ground we are claiming.

Comparison of four ways to bring AEO measurement into a new business pitch

Four ways to bring AEO measurement into a pitch, compared on five attributes. Rows are patterns rather than named products, because vendor packaging changes.
What you bring to the pitchMeasures a prospect before they signOutput is a finished deck, not a dashboardWhite-labelled for pre-saleDated plan, effort scopedNo extra cost, not metered per pitch
AI visibility platform with a pitch workspaceA workspace you open for a prospect and screen-share.YesPoint it at any domain.NoA dashboard, or an export of one.VariesUsually branded for reporting, after the sale.NoFindings, not hours and cost.NoPitch workspaces counted against the plan.
Free AI visibility checker or SEO audit generatorA score and a PDF, usually in exchange for an email address.YesAny domain, no account needed.NoA scored PDF, not a pitch narrative.VariesOften carries the tool’s own brand.NoA checklist without effort or cost.YesFree, and generic enough to be worth it.
A deck your analyst builds by handThe thing agencies actually do for a pitch that matters.YesWhatever your analyst can measure.YesThat is what it is.YesIt is your document from the first slide.YesIf the analyst costs it out.NoNo licence fee. Paid for in senior hours.
Wellows AEO Pitch BuilderThe hand-built deck, generated from a domain.YesPoint it at a domain you have not met.YesTen slides, ready to present.YesYour logo and name. No Wellows mark.YesWeek by week, 64 hours in the sample.YesIncluded on every plan. No per-pitch cap.

The table scrolls sideways on a narrow screen. No product is named on purpose: metering and packaging change, and a table that printed a competitor’s plan would be wrong the week they changed it. Named comparisons live in the FAQ, with the date they were checked.

The hand-built deck is the row that beats us on substance, and it is the one agencies already trust. It also costs senior analyst time for every prospect, which is why it only gets built for the pitches an agency is already confident about. This is that artefact for the other pitches.

Before you pitch it

The operational
questions.

Can't find what you're looking for?

Is this a dashboard, or an actual deck I can send?

A deck. Ten slides with a beginning and an end, built from measured data about the prospect, carrying your agency instead of ours.

The measurement ends in a dashboard you screen-share. That works while the call is running. The person who signs off the retainer is often not on the call, and a login does not get forwarded.

The honest version of the claim: the deck does not win the pitch. Agencies told AgencyAnalytics that industry expertise (59%) is what wins pitches, with clear ROI and outcomes and case studies tied at 46% (n=494, surveyed February to April 2026). The deck supplies one of those three: the ROI and outcomes, measured on the prospect before the pitch. What it does is put you three slides ahead of whoever pitches after you.

What is on the ten slides?

In order: the cover, where the prospect stands on the questions that win new customers, how AI answers about their own name, how that splits across the engines measured, the gap to the goal, three levers (topics to create, pages to reach out to, pages to optimise), a dated 30-day plan, and the next step.

The headline figure carries its provenance on the slide: 99 prompts, two engines, 12 runs each, 1 to 14 September.

The sample earlier on this page is the full deck. Read all ten before you decide whether it is worth a prospect's time.

How long from adding a domain to having a deck?

The sample deck was built from a fourteen-day window, because frequency across repeated runs is the whole method. A one-day snapshot is the thing the method is built to avoid.

A shorter window is possible, with fewer runs behind each figure. The provenance line under the headline figure states the window, so the prospect can see which one you used.

Can I edit or delete slides before I present?

Yes. Treat it as a draft you own rather than a locked export: edit what needs changing and cut the slides that do not fit the room.

We generate the half you cannot write without data. The half that actually wins the account, which is why your agency and why this market, is still yours to write.

How is this different from Profound's Agency Mode or Peec AI?

Both are good products, and both do the measurement half. The difference is what you leave the room with.

Checked September 2026: Profound ships Agency Mode as on-demand pitch environments that expire with the contract, which is a workspace the prospect visits. Peec AI publishes an MCP recipe called "Build Live Data Pitch Slides", pitched as "Win pitches with data, not slides", and it meters pitch projects by tier.

So the recipe exists — and you still assemble the deck. That is the gap, and it is a narrower and more defensible one than pretending nobody has thought about slides.

We are arguing against that headline, and not because slides beat data. The deck is the data. It is the data in a form that survives being forwarded to the two people who were not on the call.

Judge all three on the same tests: does the output leave the room, is it in your branding rather than the vendor's, does it end in a plan with the effort scoped in hours, and is it metered per pitch. Vendor tiers and prices move, so check theirs yourself rather than taking ours.

The prospect ran the prompt in the meeting and got a different answer. Now what?

You point at the line under the headline figure on slide two — 12 runs each, over fourteen days — and you are the only person in the room who saw it coming.

SparkToro and Gumshoe ran 12 brand-recommendation prompts 2,961 times across ChatGPT, Claude and Google AI Overviews and AI Mode, published 28 January 2026. The odds of getting the same list of brands twice came back under 1 in 100, and the same list in the same order closer to 1 in 1,000.

So the deck never prints a single run. Every figure is a frequency across repeated runs over a stated window, with the prompt set, the engines, the run count and the date range printed under the headline figure. A live run that comes back different is one more sample, not a contradiction, and the deck already told the room to expect it.

Do you print a rank?

Once, on slide two, and never from a single run. The sample reads 6.9% citation share, ranked #1 of 6 on the non-brand questions, and that rank orders shares measured across 12 runs over fourteen days.

What we will not print is the rank one answer happened to give. That is the number the variance study above shows to be noise, and it is the one a prospect can contradict from their phone in the meeting.

Which AI engines does it measure?

Whichever ones the project is set to measure. The sample measured two, Google AI Overview and ChatGPT, and says so on the cover.

The cover also shows three engines buyers use that were not measured, and says so directly beneath them. Slide 4 repeats it: no figure in the deck describes those three.

Google says optimising for AI is still SEO. Is this any different?

Google is right, and we are not going to argue with the source. From its generative-AI guidance, published 15 May 2026: "From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO." The same guide says you do not need llms.txt, you do not need AI-specific structured data, and you do not need to chop your content into pieces.

Every recommendation in the deck stays inside that. The tactics are the ones you already sell.

What Google does not hand you is the measurement: which answers name this company, how often, over what window, and who gets named instead when they do not. That is what the deck is, and it is the part your prospect cannot check for themselves.

Will it ever recommend something that gets the client penalised?

Not by design, and we would treat it as a bug if it did. Google updated its Search spam policies on 15 May 2026 to cover attempting to manipulate generative AI responses, naming bought or altered citations, biased listicles and recommendation poisoning. Penalties run from demotion to removal from Search.

None of that appears in a generated deck, and no deck guarantees a citation, a placement or a mention. A plan that promises an outcome nobody controls is the fastest way to lose the client in month three.

Is my agency's branding on it, or yours?

Yours. Your logo and name on the cover, and your logo and contact details on the closing slide. The slides between carry the prospect's domain in the footer.

No client-facing Wellows branding appears anywhere. You stay the agency in the room; we stay behind it. That holds on every plan from day one rather than as a tier unlock.

Does any Wellows string leak into the file?

It is not supposed to, anywhere, including the places nobody checks. File metadata is where a rebranded export usually gives itself away, so on your first one read whatever properties your export carries as well as the slides.

If our name is in a deck you are about to send, that is a bug and not a setting. Tell us and we will fix it.

The prospect is not our client yet. Can we white-label a document about them?

That is the point of it. White-labelled prospect audits exist; SEO audit generators have done them for years. What none of them do is measure the answer layer and end on a dated plan with the effort scoped. That is the version this is.

Nothing in the deck is private data. It is measured from AI answers anyone can generate about a public website.

Can I take the numbers into our own pitch template?

Yes. Plenty of agencies have a template their new-business meetings run on, and a ten-slide document that arrives with its own layout is not going to displace it.

Take the figures and the provenance line into your own template. That provenance line is what makes the number defensible when someone in the room asks where it came from, so it has to travel with the figure rather than be left behind with the layout.

Does it cost extra, or is there a per-pitch limit?

No. It is included on every plan at no extra cost, with no per-pitch fee and no pitch counter. It is not an add-on and it is not a higher tier.

What you need is a Wellows workspace. What you do not need is a bigger one because this month has three pitches in it rather than one.

Can I generate one for my own prospect today?

Not self-serve yet. We are opening it up through demos first, so book one and we will walk you through the deck slide by slide.

When it opens, it will be included on every Wellows plan at no extra cost. Until then, the sample above is the full ten-slide deck.

Why not charge per pitch?

Because the artefact is the demo. Nothing we could write on a website makes the case as well as ten slides about a company you are already chasing.

And because the money is in what happens next. If the deck helps you win the account, the client project runs in here afterwards. Charging per pitch would trade that for a small fee at the exact moment you are least sure about us.

Microsoft Clarity gives citation data away free. Why not just use that?

Use it. Clarity Citations went generally available on 13 May 2026, free with no traffic cap, reporting page-level citations, share of authority and AI referral traffic.

Two limits for this particular job. It covers Microsoft AI surfaces, Copilot and Bing generative search, rather than ChatGPT, Gemini, Perplexity, or Google AI Overviews and AI Mode. And it reads a site you have installed a tag on. A prospect is not going to install your tag before the first meeting.

Pre-sale measurement has to work on a company that has given you nothing, which is why the deck is built from answers rather than from analytics.

They signed. What happens to the deck?

It becomes the first month. The plan on the second-to-last slide is already dated and ordered, so kickoff is a conversation about start dates rather than about what to do.

The prompt set you measured them on before they signed is the one you keep measuring them on afterwards, so month one reports against a baseline you took while they were still shopping. Very few agencies can show a client where they stood the week before the contract.

Can I hand the plan straight to my delivery team?

That is what it is shaped for. Every recommendation names a page or a topic and is ordered by what it is likely to move, and the plan slide totals the effort in hours: 64 across the four weeks in the sample.

The hours are the input you price. Apply your own rate and the plan becomes a quote; hand the same hours to your team and it becomes a sprint.

We lost the pitch. Was that wasted?

You still have a measured read on a company in your target market, and a document worth sending the week after the meeting, when the winning agency has gone quiet.

Losing a pitch usually leaves you with nothing to follow up with. This leaves you with a dated baseline and a reason to send the next one.

Does this replace the SEO work we already sell?

No. It sits on top of it. The work happens in the answer layer, which is whether AI systems cite your client, alongside the ranking work already on your service menu.

Sold as its own line, it is the thing clients are already asking about. Sold as a replacement, it is a harder conversation with no upside.