This is the first time we've put numbers to any of it. Everything is here — the floor, the
ceiling, the tier we'd pick and the reason, and the prices of the pieces you can hand back to
us if your team runs out of road. Nothing is held back for a negotiation, because the
analysis was written to tell you what not to buy
and it would be odd to change character at the invoice.
Prepared for
Dan & Tom Laxton
Sprint
1 Oct – 31 Dec 2026
September
Unbilled, work starts
Term
90-day commitment
You own the bib. The next 90 days are about owning the argument underneath it.
How this works
We're the brain. Your team does the doing.
On every workstream Searchflex owns the thinking — the audit, the
roadmap, the briefs, the measurement. Bibado executes. That isn't a way of charging you less
for less; it's the arrangement that suits a brand with an in-house team, a 250,000-person list
and 300–500 micro-influencers already in hand. You have the distribution. What you don't have
is someone whose whole job is deciding where to point it.
Where your bandwidth runs out, hand a piece back. Every workstream has an
execution add-on priced below. They're additive, never a substitute for the strategy, and they
are the flexible part — turn one on for a month and off again. The tier is the part you commit
to, and that commitment is the 90 days. Not a 12-month signature.
The five workstreams
What each one is, and who does which half.
Pink is us. Grey is you.
01
AI Search / GEO
The centre of gravity.
Searchflex
Prompt and intent tracking, category and product level
Competitor and citation analysis
Entity and authority strategy
Monthly measurement and reporting
Bibado
Publishing and on-site implementation
Product and margin priorities
02
Technical SEO
An audit, and a sprint only if the audit says one is needed.
Searchflex
AI-readiness audit and prioritised roadmap
Specifications your developers can build from
QA on what ships
Quarterly re-audit
Bibado
Developer implementation
03
Content Strategy
Making the expertise you already have retrievable.
Searchflex
Keep / kill / consolidate audit across your 475 existing posts
AI consolidation prompts, tested and handed over for your team to run
Gap roadmap, briefs and structuring guidance
Answer-extraction standards
Bibado
Writing and publishing
Expert sign-off
Assets like this are already the answer to a question someone is asking an AI. They're just not structured to be found that way yet.
04
Authority & Citation Building
Reddit, Mumsnet, and the dietitian and OT blogs. Consultancy — we shape it, you run it.
Searchflex
Shaping the monthly survey — question design against your 250,000-subscriber list,
built so the answers are publishable rather than just interesting
Analysing what comes back, and turning it into the study, the statistic and the
content angle worth putting out
Subreddit research and rules of engagement — which subreddits matter, and how your
300–500 micro-influencers participate with proper disclosure without getting the
brand banned
Designing the HARO play — which senior names to put forward, which UK regional titles
syndicate, and how one expert comment becomes roughly 50 links
Bibado
Building and sending the survey
Running HARO day to day — the five-minute daily task is yours
All outreach and relationships
The influencer network
Publishing the studies
05
CRO & Landing Pages
The pages search lands on. Not the checkout.
Searchflex
A read of the pages Google actually sends people to
Whether the page answers what was searched for, or just ranks for it
A prioritised list of changes to test, biggest revenue first
Hotjar set up and read, with interactive mockups your developers can build from
Bibado
Building and shipping the tests
Design and merchandising decisions
Checked against the live Coverall page. It already answers the question — “We can’t remove the mess, but we can help make the mess more manageable” — under the fifth heading, with the FAQ an AI would quote sitting sixth. The H1 a searcher meets first reads “NEW Long-Sleeve Coveralls”. Nothing on this page needs writing. It needs reordering, and that is most of what this workstream does.
Proof
Turning AI search into orders.
AI referral traffic is rising for everyone, and we would not claim credit for
that. What the work changes is whether it buys once it lands — and across the 32
client properties we measure, that is the part that varies enormously.
96%
of all AI-referred traffic we measure is ChatGPT — roughly 50,000 sessions of 52,000.
Optimising for "AI" today means optimising for one product, and knowing which one is half
the job.
71–87%
of AI-assisted orders had AI at both ends of the journey, and first-touch returns
fewer orders than last-click. Most AI buyers already knew the brand. It is a
closing channel, not an awareness one.
+58 / −85%
the spread of AI conversion against site average across the portfolio. The traffic
arrives either way. Whether it buys is the part that is earned.
Case 01 · Jewellery · Shopify · UK
PRYA
2.1×
orders grew faster than visits, on AI search
+111%AI-search visits
+233%AI-search orders
Not simply more AI traffic — better AI traffic. AI visitors order at
2.68% against a 2.34% site average, and the pattern holds inside 2026 alone: orders up 120%
on visits up 93%. Counting every order AI took part in lifts orders and revenue a further 9%,
and 87% of those journeys had AI at both ends.
The same pattern across three international storefronts, inside a quarter
— visits barely moved, orders went up by nearly two thirds. On the brand's strongest
market, AI visitors convert 58% better than the site average. Counting every order AI took
part in raises orders by 11% and revenue by 9–13% over what last-click reporting shows:
value the brand was earning and not seeing.
Jun–Aug 2026 — results not cleared for publication, so we don't
name them
A professional service, a seamless website migration and outstanding
results. We highly recommend Searchflex.
Royale Johnson, Co-Founder, PRYA
Measured in GA4 over sixteen months to September 2026, on
session and first-user source against an explicit list of AI assistant hosts — not GA4's own
"AI Assistant" channel grouping, which did not exist before June 2026 and overstates growth
for every site using it. The windows differ between the two brands because the data does: the
jewellery brand's series has no breaks, so it is measured year on year; the activewear brand's
storefronts recorded a platform-side measurement change in May 2026, so every figure there
compares June onward. September 2026 is a partial month and is excluded throughout. Assisted
figures count journeys with an AI visit at first or last touch — a visit in the middle is
invisible to every report the GA4 API exposes, so the real contribution is higher than
stated.
Choose your depth
Readable, then cited, then chosen.
Three tiers, each containing the one below it. All prices monthly and ex VAT —
Searchflex is UK VAT-registered, and the inclusive figure shows on
every total.
Execution, if you want it
Hand a workstream back, by the month.
Execution is on top of the
package, never instead of it — and only for workstreams your tier already includes. Anything
greyed out below isn't in the tier you've picked.
The sprint · 1 Oct – 31 Dec
£4,500
£5,400 inc VAT · 90 days
Monthly
£1,500
£1,800 inc VAT
Worth checking
Floor is Foundations with nothing added: £1,000/mo, £3,000 for the sprint. Ceiling is Category
with execution on all five: £5,000/mo, £15,000. Everything in between is on this page.
The tier is a 90-day commitment — all three months, not monthly rolling.
Execution add-ons are monthly, on or off as your team's capacity moves.
If you'd rather commit for longer
Ninety days is the default because it is the shortest honest test — long
enough for the technical work to land and the baseline to move, short enough that you can
stop. If you already know you want this running into next year, Category costs less per month
the longer you sign for.
Six months£1,750 /mo + VAT£10,500 across the term, £12,600 inc VAT.
£1,500 less than the same six months bought as two sprints.
Twelve months£1,500 /mo + VAT£18,000 across the term, £21,600 inc VAT.
£6,000 less — and the same monthly rate as Authority, so a year buys all five
workstreams at the price of four.
Category only; Foundations and Authority stay at their
sprint rate. The free September applies either way, and execution add-ons stay monthly on any
term. The discount is the plain trade it looks like — a longer commitment is worth something
to us, and we would rather pass some of it back than dress it up as a limited offer.
What it's worth
The arithmetic, restated now there's a price on it.
The analysis told you that recovering the whole non-brand click-through gap is
worth something like £50,000 a year against organic revenue of
£169,000. Real, worth having, and on its own not a reason to hire anybody. That
doesn't change because there's an invoice attached to it now.
So here is the honest shape. Authority is £4,500 across the sprint —
£18,000 if it ran a year — and your side of it, developer time, a writer and
someone owning outreach, is comparable. Against a £50,000 ceiling that is a thin case,
and if click-through recovery were the whole plan we would tell you to take Foundations, ship
the technical fixes, and stop there.
It isn't the whole plan. The bigger number comes from three places, in order of size.
Territory you don't occupy at all — the wider question universe, rather
than the 1.75m impressions you already hold. Basket size, because the range is
a developmental sequence and currently sells like a catalogue. And repeat
purchase across that sequence, as a child moves through it.
We can't model any of the three from here and we won't pretend otherwise
— a plan resting on a number we invented is exactly the plan that produced "rankings
moved, sales didn't". What we can do is measure them. Cross-category purchase rate, products
per order, first-to-second purchase rate, time between developmental purchases, single- versus
multi-category order value, and twelve-month value by first product bought: six numbers GA4
cannot give us and your Shopify order data can. That is the first thing we would ask for in
October, because it is the difference between measuring whether AI mentions you and measuring
whether any of this made you money.
How you'd know it worked
Three measures, in the order that decides whether to continue.
Deliberately inverted from how this usually gets presented. Revenue first,
because it is the one that answers the question you asked us. AI presence last, because it is
a leading indicator and not the objective — the same order as the analysis, and for the
same reason.
01
Revenue from non-brand discovery
The one that answers did it work. Shopify revenue from visitors who arrived on a
non-brand search or an AI citation, read across more than one attribution
model — because a first session from a problem-led question frequently doesn't
buy that day. It comes back through search, email or direct and converts later, and
last-click would hand that sale to another channel and call this a failure. Expected
behaviour for this kind of discovery, so it gets measured for rather than discovered late.
Organic already carries your highest average order value at £38.77 — the
constraint has never been what those visitors spend, only how many of them arrive.
02
Non-brand click-through, against its own curve
Whether you are being chosen, not merely shown. You have 1.75m non-brand
impressions a year earning 12,863 clicks — 0.73%, roughly a quarter of curve,
while your own branded results run at 0.72× in the same account. That gap is the
largest measurable thing on the table and you have already paid for it. We report the ratio
to curve rather than the raw rate, so a seasonal swing in impressions can't flatter the
number in either direction.
03
AI presence and citations
The leading indicator, and the first of the three to move. How many of the 150 prompts
return Bibado, and how many third-party sources cite you — measured against the
baseline re-run in September, not the diagnostic sample in the analysis.
That sample found Reddit in 66 of the 76 answers that returned readable sources, which was
enough to prove the problem exists. It is not enough to score ourselves against, and we
would rather build the real baseline than grade our own homework on the subset that made our
point. AI referral revenue is reported alongside it, starting from the £1,561 the
analysis already showed you — a number you can watch move, rather than a percentage
that hides where it started.
All three are instrumented in the free September, before the
sprint starts, so month one is measured against something real. The measurement framework is
included at every tier. And the limit we stated in the analysis still stands: about a third of
your business is Amazon, none of this can see it, and a win that lands there will look like a
miss in our numbers.
The 90 days
Front-loaded, because Black Friday is day 58.
Three months, but not three identical ones. Anything technical has to ship
before trading peaks, or it earns nothing this quarter.
Sept · £0
The sprint starts early, and you aren't billed for it
Sign in the week of 21 September and we begin before the agreement does. Not a setup
week — real work, unbilled: access and tracking in place, the technical specification
started, and the 150-prompt baseline re-run so the sprint has something
honest to be measured against. The 90 days still run 1 October to 31 December. You get the
ten days in front of them for nothing.
Oct · 1–31
Technical, and the quick wins
The specification your developers build from — the entity block, the orphaned
collections, the broken URLs and the template faults the analysis already named. The
keep/kill/consolidate pass across the 475 posts, with the consolidation prompts handed
over. Survey one designed and handed to your team to send, so November has something to
analyse. This is the month with a deadline attached to it.
Nov · 1–30
Authority, through peak
Subreddit rules of engagement and the micro-influencer guidance in your team's hands.
The HARO play designed and handed over. Survey one's results analysed and turned into
something publishable. Technical fixes from October measured, not just shipped.
Black Friday · 27 Nov · day 58 of 92
Dec · 1–31
Measure, and decide what carries
All three measures re-read against the baseline. Quarterly technical re-audit. A plain
read of what moved, what didn't, and what Q1 should be — including the case for stopping.
Included everywhere
In every tier, not priced separately.
A central strategy URL
One live address for the current plan, so nobody is
version-hunting in an inbox.
A client portal
Password-protected. Briefs, specs, roadmaps and the
measurement history in one place.
The KPI framework
The three measures above, agreed and instrumented before
the sprint starts rather than assembled at the end of it.
What would count as failure
Unchanged from the analysis.
This is the answer to "the rankings moved and the sales didn't", and it's the
same words you already have. We're not softening it now there's a price attached.
If in 90 days AI presence has moved and revenue hasn't, we'll say so plainly and tell you
why we think that happened. One honest limit on that promise: about a third of your business
is Amazon and none of this measurement can see it. So we score on Shopify revenue plus
the leading indicators we do control — presence on the tracked prompts, non-brand
click-through against the position curve, citations earned — and we say now that a win landing
on Amazon will look like a miss in our own numbers. Agreeing that is the difference between
this and what happened last time.
If Authority is the right shape, say so and September starts this week. If you
think Foundations is enough for now, that's a reasonable read and we'll take it — we'd just
rather you made it knowing Reddit sits outside it.
Bi-weekly calls are standard at every tier and cost nothing.
No tier is time-limited, none of these prices expire, and nothing on this page gets cheaper if
you decide on Monday rather than Friday.