For B2B SaaS marketing teams
ChatGPT is recommending your competitor right now.You don't know which one.
We tell you which competitor, on which buying questions, how often — then ship the citation work that puts you back in the answer.
what's the best CRM for a mid-market B2B team?
For a mid-market B2B team, three CRMs come up consistently:
- 1.HubSpot — the mid-market default — usable, strong automation.hubspot.com
- 2.Pipedrive — leanest to roll out for small sales teams.pipedrive.com
- 3.Salesforce — the enterprise pick for deep customization.g2.com
— and 0 mentions of you.you — absent
sample data[1] · the interface is chatgpt's. the absence is yours. same story in claude, gemini & perplexity.
51%[2]
Of B2B software buyers now start research in an AI chatbot, not a search bar. Up from 29% a year earlier.
44%[3]
Of SaaS brands on Google's first page get zero ChatGPT citations for the same keyword. Page one isn't the answer.
2.4x[4]
How much vendor-funded GEO studies inflate results vs. independent work. We published the study — check the method.
§ 00 — the shift
Search didn't die. It compressed.
A whole page one competed for your buyer's attention — ads, People also ask, blue links. Now one answer replaces it, and it has room for 2–7 names.
then — page one
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Userpilot vs Appcues vs Pendo: Honest Comparison
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now — the answer
Product-led SaaS teams most often shortlist Userpilot and Appcues for in-app onboarding, with Pendo favored at enterprise scale.
same query, three assistants[1] · 2–7 sources make the cut — yours or theirs.
§ 01 — what we track
Four numbers that tell you whether AI sells for you — or against you.
The industry calls this GEO. Call it the scoreboard: we track these weekly, send you the insight, and ship the work that moves them.
metric 01
Citation Share %
The share of your buyers' questions where AI cites you. The new market share.
→ Moved by retrieval-engineered pages and monthly trust assets.
metric 02
Competitor Share %
Who AI recommends when it isn't you — per question, per platform.
→ Weekly alerts the moment a rival pulls ahead on a query you should own.
metric 03
Open Territory %
Buying questions no one owns yet — the cheapest citations you'll ever win.
→ Claim-staked with the first credible answer, before a competitor writes it.
metric 04
AI Pipeline $
Sessions, accounts, and dollars that started inside an AI answer.
→ Attribution stitched end-to-end — a monthly memo your CFO will read.
Want to know where your four numbers stand today? the free audit measures them →
§ 02 — the method
Three things every other GEO agency leaves on the table.
01
The attribution layer is the moat
AI Pipeline Memo
Month 3
Most agencies stop at “we got you cited.” We tie citations to sessions, sessions to accounts, accounts to dollars.
+ full note− full note
By Day 60 of a retainer, you get a Monthly AI Pipeline Memo your CFO will actually read — AI referral detection, session-to-account stitching, pipeline tie-in.
02
The niche deliverables nobody else ships
consensus signals — monthly
- wikipedia + wikidata entitycontinuous
- haro / qwoted pitches5 / mo
- strategic reddit placements3 / mo
- knowledge graph coherencecontinuous
The consensus signals AI checks before it trusts a brand — the work most agencies skip.
+ full note− full note
Wikipedia and Wikidata entity optimization. HARO/Qwoted/Help-a-B2B-Writer pitches. Strategic Reddit placements in the subs AI models index heavily. Knowledge Graph entity coherence. Slow, manual, unsexy — and the moat.
03
Atomization at scale: 1 → 45
1 source asset / mo
- long-form answer pages×10
- comparison pages×5
- faq pages with schema×15
- expert pov posts×10
- social-ready snippets×5
= 45 pieces · 120+ citation touchpoints
One source asset becomes 45 derivatives in a month.
+ full note− full note
Density signals seriousness to AI models — and it's operational leverage no in-house team has the hours for.
§ 03 — research
We publish the receipts.
Original studies with disclosed methodology, named sources, and flagged limitations. Read ours the way we'd tell you to read any vendor's: check the method, not the headline.
Methodology, sources, and what we couldn't measure — all research →
Founded and run by Shubham Bansal. Every audit is run and signed personally — no junior account managers, no hand-offs. the story →book a 30-min call →
§ 04 — free audit
Want proof? See where you're absent.
Every question where you're missing, who's getting cited instead, and the three highest-leverage moves to close the gap.[5]
AI Visibility Audit
yourcompany.com
vs 3 competitors · 50 prompts · 4 platforms
fig 1 — citation territory
the three highest-leverage moves
No sales call, no drip sequence — one PDF in five business days.
§ 05 — references
References
- [1]sample conversations — chatgpt.com, google.com & claude.ai interfaces reconstructed for illustration — representative output, not live quotes.
- [2]G2 — The Answer Economy (April 2026) — 51% of B2B software buyers now begin research in an AI chatbot, up from 29% the year before.source ↗
- [3]EMGI — SaaS AI Citation Gap Report (April 2026) — 150 SaaS brands × 120 keywords; 44% of Google top-10 brands received zero ChatGPT citations on the same keyword.source ↗
- [4]TCC Research — The Vendor Bias Study (2026) — 30 GEO studies classified by funding source; vendor-funded work reports headline effects 2.4x larger than independent research.read the study →
- [5]free-audit methodology — 50 buying-question prompts × 4 platforms × you + 3 competitors, run and signed personally.
- [6]your company— unclaimedrun the free audit →