Chapter nine of ten
A workshop for building your case with your own numbers. It puts the cost of waiting beside the cost of acting.
Buyers ask Will this bring us pipeline?
By Maeva Cifuentes · Updated October 2026
Organic slips, AI drifts up a little
The difference is your case
The short answer
Nobody can hand you an industry return figure for AEO. The published ones come from companies that sell it. A case that survives a finance review is built from your own numbers. It covers what organic search brings in today, what AI answers already send you, what a program costs and which signals will show it working.
AEO returns arrive in a crooked line. A buyer asks an engine, sees your name and comes back days later by typing your brand into a browser. Your analytics record a direct visit. The engine gets zero credit.
That makes the evidence correlational. We found zero published tests of AEO with a control group. Vendors who quote a precise return are multiplying assumptions.
The honest standard is three signals moving together. When exposure rises, buyer behavior shifts and outcomes follow, the case for cause grows stronger with each month they agree.
How often engines mention you across a fixed set of category prompts.
Branded search, direct visits and buyers who say an AI tool sent them.
Signups, demos and pipeline, read against the first two.
Chapter 8 covers how to measure each signal and how to report them together.
Judge this the way you judge brand or PR spend. Ask for leading signals, a fixed review date and a clear rule for stopping or scaling.
Promise signals you can track from month one. Leave single-number return promises out of the deck.
Start with who uses answer engines while buying. The surveys disagree on the size, which is itself worth showing a finance lead.
Buyers who use AI while buying
All bars share one scale from 0 to 100%. The groups and questions differ, so read the bars as a range. Sources Gartner, TrustRadius and Wynter. Wynter surveyed CMOs at B2B SaaS companies with $50M or more in revenue and cautions that its figures describe that sample only.
68% of the CMOs in Wynter's January 2026 survey start with AI tools before a search engine. Its figure for LLM vendor discovery was 24% in 2025.
94% of the AI users in the TrustRadius survey from January 2026 fact-check what the engine says. Peer recommendations still rank first with Wynter's CMOs.
6sense's 2025 report found the winning vendor came from the buyer's day-one shortlist 95% of the time, across about 4,000 buyers.
AI tools were under 2% of US desktop activity in the first quarter of 2026, per Datos and SparkToro. AEO adds to SEO. It replaces nothing.
Then make it about your category. Run ten buying prompts through the engines your buyers use. Record which brands get named in each answer. A table with your name missing from prompts your competitors win is the strongest slide you will show.
Ask to see the answers themselves. Reading three engine replies that leave your company out lands harder than any survey.
Use prompts your sales team hears from buyers. Chapter 5 covers how to choose them.
Companies receive customers through AI answers without doing any AEO work. That baseline belongs in your case. It proves the channel exists for you. It also stops anyone crediting a program for results that were arriving anyway.
Sessions and signups arriving from ChatGPT, Perplexity, Gemini and Copilot. Expect this to undercount.
"How did you hear about us" on demo and signup forms, with AI tools as an option.
Branded search and direct visits over the past twelve months.
How often buyers mention asking an AI tool during discovery calls.
of Docebo's high-intent leads named AI tools on a required form field in Q3 2025, five times the year before
Growth Unhinged, October 2025, company-reportedof Webflow's signups came from AI between October 2024 and June 2025
Webflow, 2025, company-reportedof site traffic came from AI referrals across 1,215 domains, rising to 2.80% in IT
Conductor, May to September 2025Stay cautious about conversion claims. Amsive's September 2025 study covered 54 sites over six months. It found AI visitors converting at 4.87% against 4.60% for organic search, a difference too small to count as significant. Your own rate is the one to use.
AEO is about more than being visible. It is also about being described correctly. Buyers may still discover your brand through an engine if you do nothing. What they read about you then rests entirely on what third parties have published.
That gets riskier the faster you ship. Review sites, old comparison posts and forum threads lag behind your product. An engine that leans on them can quote last year's pricing, miss a new integration or place you in the wrong category.
Your own pages are the part of the record you control. Clear product, pricing and documentation pages give engines a current source to retrieve. Outreach then corrects the third-party pages that still carry the old story.
of software buyers say they run into inaccurate chatbot recommendations often or very often
G2, March 2026, 1,076 buyers. G2 sells AI visibility productsof tech buyers who use AI fact-check what it tells them
TrustRadius, January 2026, 1,862 buyersof the sources behind AI answers are brand-owned sites, by McKinsey's estimate
McKinsey, October 2025Add accuracy to the case as a risk line. Every launch, price change and repositioning widens the distance between what you sell and what engines say you sell.
Ask the engines to describe your product, pricing and ideal customer. Log every error with the source the engine cited. That list is evidence for the case and a work plan for later.
The chart compares two paths over 18 months. On the waiting path your organic results slip while AI-sourced signups drift up without help. On the investing path a program slows the slip and lifts the AI line after a three-month ramp.
Every number is yours to set. The starting values are placeholders. Treat the result as a scenario built from your assumptions.
Build it
| Month | Wait | Invest | Difference |
|---|
Your case in a paragraph
How it works. Organic results fall by your yearly decline rate. A program removes the share of that decline you set. The AI number grows at your no-work rate on both paths for three months, then at your program rate on the investing path. The cautious and strong cases halve or raise by half the two program effects. Value is extra signups or demos times your value per signup.
Where to find defensible inputs. For the decline, Pew observed clicks on 8% of searches that showed an AI summary against 15% without one, across about 69,000 searches in March 2025. Ahrefs measured 58% fewer clicks on the top result when an AI Overview appears, comparing December 2023 with December 2025 across 300,000 keywords.
Clicks and signups can part ways. One Flying Cat client saw traffic rise 32% while signups rose 75% over six months. Base the decline on your signups and demos, with clicks as supporting context.
Challenge the two program inputs hardest, the growth rate and the share of decline prevented. They carry the least outside evidence, which is why the cautious case exists.
Present the cautious case first. A plan that pays back slowly on modest inputs earns more trust than a steep line.
Leadership approves reversible bets more easily than open-ended ones. We recommend an intensive three-month sprint followed by a lighter maintenance phase, with a review at each checkpoint.
Fix technical access, strengthen bottom-funnel and brand pages, begin outreach. Check that mention rate on your tracked themes has started to move.
Compare mention rate against named competitors. Check branded search, direct visits and the form field for movement in step.
Keep pages fresh and outreach steady. eMarketer reported in 2026 that 40% to 60% of cited sources change from month to month.
Budget context helps the request land. Every dollar benchmark we found comes from a company that sells the service, so treat these as market prices and read them with that in mind.
median monthly agency retainer for B2B SaaS, in a typical range of $4,500 to $20,000
First Page Sage, 1,146 quotes from 214 agencies, October 2026of digital marketing budget went to AEO at large enterprises in 2025
Conductor, released January 2026, 250+ senior leadersof respondents have no dedicated AEO budget, in a broader sample where a third work at companies of ten people or fewer
Minuttia with Growth Memo, June 2026, 599 respondentsWe like to split an AEO budget evenly between content on your own site and outreach for third-party mentions. Chapters 6 and 7 cover each half.
Approve the sprint with the six-month review written into the plan. Agree in advance which signals mean stop, pause or scale.
Record a baseline before the sprint starts. Without it the review has nothing to compare against.
These came up again and again across client calls, LinkedIn threads and the webinars we reviewed.
Traffic is a weakening yardstick. Clicks fall as engines answer on the page, while signups can still grow. Offer the three cases from the chart with a review date on each.
Brand, events and PR share that problem. Use the three signals, plus a required form field. Docebo's form field showed 12.7% of high-intent leads naming AI tools.
Good. That baseline sits in the chart on both paths. One open question is which brand gets named on the prompts where yours is absent. The other is whether engines describe you accurately when they do name you.
Buyers form shortlists now. 6sense found the winner comes from the first shortlist 95% of the time. Standing in AI answers also builds slowly, so a late start costs more than one quarter.
AEO sits on top of SEO and draws on brand, PR and partnerships. Chapter 1 covers who owns it. Starving SEO to fund it weakens both.
Nobody has a defensible price for a single mention. Value shows up at the level of a category over months. Be wary of any model that prices mentions like ad impressions.
The evidence is mixed. Single companies report strong numbers, while the broadest study found little difference. Use your own rate in the chart.
Eli Schwartz advises testing where AI sits in your buyer's journey before moving budget. He also suggests a rough check, pausing if a $10,000 monthly spend has no plausible path to breaking even.
Eli Schwartz argues that time is the lever, more than budget, since SEO and AEO results compound. He compares judging AEO by whether engines mention you today to judging a property investment by its cash flow in month two.
Several agency models start from organic revenue and a projected decline. The decline has outside evidence. The share a program protects is an assumption in every version we read.
Kevin Indig suggests budgeting by capability, such as digital PR, technical work and content operations, with learning bets capped and given an end date.
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