# Jeremy Goillot

Jeremy Goillot works at Allo, a business phone and sales software company, and writes about building SaaS businesses, AI tools and how companies can use them in their work.

- Profile: https://b2binfluencer.marketing/creators/jeremy-goillot/
- LinkedIn: https://www.linkedin.com/in/jeremygoillot
- LinkedIn followers: 61,322
- YouTube: https://www.youtube.com/channel/UCWq_RCYQBwV3lY1oNuztEsA
- Topics: artificial-intelligence, startup, ai-agents, b2b-saas
- Based on 17 dated posts, latest 2026-09-10

## Summary

Most useful for B2B SaaS thought leadership on AI agents, phone systems and go-to-market.

- Best for: B2B SaaS brands wanting operator-style posts about AI agents and go-to-market.
- Not for: Consumer lifestyle, beauty or short-form video campaigns needing guaranteed reach or undisclosed placement.
- Check first: Ask for audience composition data and recent post-level reach before committing budget.

### Takeaways

- Software an AI agent cannot call does not exist for it.
- Finance work is the next large automation surface.
- Allo's MCP launch lets AI work with call data and run phone system.

## Main ideas

- **Software an AI agent cannot call does not exist for it**: Goillot's central argument is that the screen was never the product, only a translation layer between a person and a database. An agent does not click; it calls, reads, writes and chains actions. What matters now is the set of actions an agent can invoke and the proprietary data behind them. Software with no API or MCP is cut off from the traffic that, in their telling, is overtaking human traffic. They apply the same test to their own product, not just to others.
- **Finance work is the next large automation surface**: Two posts frame finance as a function about to be reworked, with SMEs behind and the finance director's role changing faster than the organisation around it. The case draws on a partner's research and a named practitioner's live setup, then gets specific about tasks. Both posts carry a commercial attachment, putting the recommendation and the relationship in view together.
- **Build in public by naming the weakness and the competitors**: When Goillot writes about Allo's own product, they pair a stated shortcoming with a checklist of what shipped, a contrast with named rivals and an easier migration path. Specific before-and-after details make the case more persuasive than a general claim, while naming the competition sets up the comparison readers would make anyway.
- **Strong software companies can be built outside Paris, slowly**: Goillot's argument about the French market is that patient, revenue-led building outside the capital produces major companies but rarely gets celebrated, while funding announcements with little behind them do. The counterexample is a company that spent years laying foundations before raising, then raised from a position of strength rather than survival. They also present succession—a non-founder taking over the top job—as a sign of a company doing something unusual for France.
- **Asia's automation lead is a competitiveness warning for Europe**: A narrower thread reports from Asia on robots and productivity, using field visits and comparative figures to argue that Europe regulates while others execute. Goillot uses the comparison to ask when European companies will act. For a French startup readership, the focus is the productivity gap, not the robotics market itself.
- **A case is made from numbers, named parties and a closing prompt**: Goillot builds arguments for the scrolling reader: a short hook, a numbered or arrowed breakdown where nearly every line carries a figure, a named company or a named person, and a closing action. Often, a keyword comment unlocks a resource, turning an explanatory post into a distribution mechanism.

## Work to read

- [Allo's MCP launch: an agent that runs the phone system](https://www.linkedin.com/posts/jeremygoillot_on-a-lanc%C3%A9-le-mcp-dallo-en-beta-il-y-a-quelques-activity-7483773742238748672-CLD4)
- [The argument that software must be callable by an agent](https://www.linkedin.com/posts/jeremygoillot_officiel-le-ceo-de-cloudflare-vient-dannoncer-activity-7471112614937485312-8xRH)
- [Rebuilding Allo's inbound call flow while rivals took August off](https://www.linkedin.com/posts/jeremygoillot_quand-nos-concurrents-partent-en-vacances-activity-7503705077526949889-xPw5)
- [Sellsy: a long-form story of French SaaS built outside Paris](https://www.linkedin.com/posts/jeremygoillot_ils-ont-construit-une-des-plus-grosses-boites-activity-7497911231522033664-DatG)
- [A live interview format on running finance with AI](https://www.linkedin.com/posts/jeremygoillot_arthur-waller-est-surement-lentrepreneur-activity-7468275935876808705-cKUO)
- [A B2B billboard campaign with Hyperline, told from the customer side](https://www.linkedin.com/posts/jeremygoillot_ma-t%C3%AAte-vient-datterrir-sur-un-billboard-activity-7501257158135787521-r_-t)

## Brand relationships

- **Allo** (employment)
- **Sellsy** (disclosed_partnership)
- **Hyperline** (disclosed_partnership)
- **Fygr** (disclosed_partnership)
- **Pennylane** (disclosed_partnership)
- **Spendesk** (employment)
- **Builders Factory** (mention)

## Partnerships

The posts show a consistent working pattern: Goillot writes about products Allo uses or partners with, and tools they recommend, naming the companies, people and results involved. Expect an operator-style collaboration built on a real, referenceable use case, rather than a listed advertising slot with fixed terms. A documented comment-to-DM resource giveaway and a LinkedIn Live with a named guest show how partner assets can be distributed. Ask directly about scope, approval, disclosure and compensation.

## Alternatives

- Emmanuelle Benoliel: Choose this alternative when the campaign needs someone who has run an AI-assisted go-to-market motion inside a company, rather than someone who argues about how software should be built for agents. Benoliel describes building a first account-based marketing campaign at ElevenLabs with a stack that links Claude, a knowledge base in Clay, the CRM and sales conversations into generated landing pages, ad messages, a Word document and an Excel file, then an Asana task that routes the work to a technical team, and Eleven Creative to produce localised ad assets at scale. The second post makes the strategic case: it cites Carilu Dietrich's job-posting analysis naming GTM Engineer, Head of Marketing AI CoE and VP Marketing Excellence and Transformation as emerging roles, and describes integrating a GTM Engineer at UnlockM to turn engagement into a scored, contactable list. For an AI-agents and go-to-market brief, that gives a sponsor first-person material on the operational handoff between marketing, sales and tooling, closer to a revenue-ops buyer than Goillot's product-and-partnership framing.
- Cédric Bidet: Choose this alternative for a campaign targeting French small and mid-sized businesses adopting lightweight AI agents, when the sponsor wants a founder-operator voice that sells that service directly. Bidet's two posts cover the same underlying shift as Goillot's Cloudflare and MCP pieces, but from the buyer's side. One walks through interfaces and friction, from a grandmother using a computer to pop-up-heavy recipe sites, and argues that agents plus APIs and protocols such as MCP let people ask in plain language instead of clicking through ten tabs. It names OpenAI's Agentic Commerce Protocol and gives the professional example of not manually exporting a CRM list. The other addresses the crowded market head-on, acknowledging that everyone builds agents and that founders are lost in LLM and RAG jargon, then positioning Firmin.ai around fewer buzzwords, lighter agents and concrete irritants such as filing email attachments, meeting summaries with to-do lists, and e-commerce extraction reconciled with the CRM. For a campaign about agents reaching SMEs, that is a more direct fit than a post aimed at an ecosystem already fluent in MCP.
- Matthieu Rousseau: Choose this alternative when the sponsor's AI-agent story depends on data readiness, and the audience is data, analytics or platform leadership rather than marketing. Rousseau co-founded a data agency and writes a recurring state-of-the-market review of the tooling layer: Snowflake pushing toward an all-in-one platform, Databricks trying to become accessible to business users, the dbt acquisition as a blow to Modern Data Stack philosophy, newer French-market tools, DataOps standardisation, FinOps as cloud bills grow, and semantic layers described as the essential prerequisite for MCP and agent use. The second post lists six concrete pain points that justify a data platform, from siloed KPI versions to a self-service strategy breaking down. For a B2B SaaS sponsor whose agent product only works once customer data is modelled and governed, this supplies the argument for that prerequisite and a credible technical voice to make it.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/