AI citation growth for growing businesses
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 growing business?
For a growing business, 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.
15
buying questions
Built around the real comparisons customers make before choosing a business like yours.
4
AI models
ChatGPT, Claude, Gemini, and Perplexity checked side by side.
≈15m
to your report
An actionable diagnosis, not a dashboard full of numbers you have to interpret.
§ 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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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 Revenue $
Visits, enquiries, purchases, and revenue that started inside an AI answer.
→ Attribution stitched end-to-end — a monthly impact memo your team can act on.
Want to know where your four numbers stand today? the free audit measures them →
§ 02 — the method
The audit finds the gap. The Growth Retainer closes it.
We monitor where your business is missing, create the pages and trust signals AI can retrieve, earn the third-party mentions models rely on, and track what changes.
See the Growth Retainer deliverables →01
The commercial layer is the moat
AI Impact Memo
Month 3
Most agencies stop at “we got you cited.” We connect citations to visits, enquiries, accounts, purchases, and revenue where the data allows it.
+ full note− full note
By Day 60 of a retainer, you get a Monthly AI Impact Memo — AI referral detection, conversion movement, and the clearest commercial tie-in your data can support.
02
The niche deliverables nobody else ships
consensus signals — monthly
- wikipedia + wikidata entitycontinuous
- expert-source pitches5 / mo
- category community 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 where appropriate. Expert-source pitches. Strategic placements in the communities 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. Retainer strategy and delivery are led 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.[3]
AI Visibility Audit
yourcompany.com
15 prompts · 4 AI models · 60 checks
fig 1 — citation territory
the three highest-leverage moves
No card. No required call. Your report lands in about 15 minutes.
§ 05 — references
References
- [1]sample conversations — chatgpt.com, google.com & claude.ai interfaces reconstructed for illustration — representative output, not live quotes.
- [2]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 →
- [3]free-audit methodology — 15 buying-question prompts × 4 AI models = 60 checks, summarized in an actionable AI Visibility Report.
- [4]your company— unclaimedrun the free audit →