Jeremy Goillot

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.

Relaying Cloudflare's announcement that bot traffic passed human traffic and will reach 1,000 times human traffic within five years, Goillot walks through client onboarding.

• Today, a CRM dictates the click-by-click order for creating a contact, a deal, an email sequence and a follow-up.
• Tomorrow, you tell an agent to onboard the client, and it creates the contact, triggers the emails, blocks the calendar slot and posts to Slack.
• The argument recurs as a product claim: Allo's MCP has passed 1,000 active users, and Claude or Grok can configure a rebuilt call flow directly.

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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.

Reviewing a Fygr e-book, Goillot says most SMEs will enter 2026 a decade behind on finance, AI will automate 80% of low-value tasks within 24 months, and the e-book offers benchmarks on margins, break-even, working capital and the maturity of finance teams. A second post announces a LinkedIn Live with Pennylane cofounder Arthur Waller on paying suppliers with AI, handling invoicing, steering burn and keeping a finance lead available around the clock.

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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.

A call-flow post says Ringover and Aircall closed their offices in August while the Allo team worked.

• Goillot admits the previous IVR was poor, then lists transfer rules by topic, a multi-step and multi-language menu, CRM-based call filtering, timed SMS during calls and an AI receptionist that can transfer live or book an appointment.
• The system is configurable through the app, an API and an MCP; a closing offer promises to migrate a competitor's flow from a photo.
• A billing post reports moving from Stripe Billing to Hyperline and multiplying ARR by five, with an 86% quote acceptance rate.

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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.

The Sellsy post traces a company founded in 2009 in La Rochelle, funded mainly by revenue for 13 years with regional investors, then a €55M raise in 2022 and an acquisition by the Italian group TeamSystem.

• It gives the company roughly 12,000 client companies, more than 70,000 users and around 200 staff.
• Goillot notes that current CEO Victor Douek joined in 2016 and is not a cofounder.
• A separate post argues Paris has lost its venues for early-stage founders, pointing to a community with seven cohorts and more than 200 founders supported; Goillot names the community's organiser and the event they are speaking at.
• They state that Allo is a Sellsy partner and Waller is an investor in their company.

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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 post from a Unitree showroom and factory in China gives delivery volumes, a fall in average robot prices from 593,000 to 168,000 yuan over two years, revenue growth of 335% and an open-source hardware approach, then contrasts European regulation with Chinese execution.

• A post from Seoul puts South Korea at 122 industrial robots per 1,000 manufacturing workers, against Germany's 45, the United States' 31 and France's 20, behind Slovenia and Czechia.
• It also notes Hyundai's acquisition of Boston Dynamics and use of its robots in its own factories.

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Often, a keyword comment unlocks a resource, turning an explanatory post into a distribution mechanism.

A Fygr e-book post ends with "commentez FINANCE et je vous l'envoie", an event post ends with "commentez BUILDER", and a live announcement promises the replay to anyone who comments "REPLAY". Personal opinions and direct address keep the posts from reading as pure product notices.

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Start here for the clearest firsthand example of a shipped product, not commentary.

Goillot describes the beta launch of an MCP for Allo, the phone and sales software company, and says it passed 1,000 active users.

• The post explains MCP as a protocol that lets Claude, ChatGPT or another AI operate a phone system directly instead of exporting CSVs or copy-pasting between dashboards.
• It gives three customer uses: an accounting firm asking Claude every Monday for clients who did not answer calls, with the context of their last exchange, and a prioritised follow-up plan; a recruitment agency analysing the week's calls for recurring objections and adapting the next week's script; and an independent garage sending personalised appointment reminders built from call transcripts.
• Goillot also says they are a power user, listing daily prompts for the sales team: pull prospects who have not replied and load them into the power dialer; analyse two named salespeople's calls for recurring objections; send an SMS to prospects who picked up but did not book; and compare volume and connection rate across the two top salespeople.
• The MCP is free and open to all.

For brands planning a campaign

For a brief about AI agents and go-to-market, this is the strongest concrete asset: a named product, a usage number and day-to-day sales prompts. A collaboration could take the form of a build-and-usage case study or a podcast segment on what MCP changes inside a sales team, rather than a general AI opinion.

This post puts the thesis in a short, quotable form.

Goillot reports that Cloudflare's CEO announced bot traffic had passed human traffic, and predicted it would be 1,000 times human traffic in five years.

• The post notes bot traffic sat around 20% from 2010 and remained stable for 15 years before AI arrived, and that the crossing point came earlier than the CEO expected.
• Goillot argues the interface was never the real product, only a translation layer between a person and a database.
• They illustrate the point with client onboarding: today, the CRM dictates a click-by-click sequence of contact, deal, email sequence and follow-up; tomorrow, you tell an agent to onboard the client, and it creates the contact, triggers the emails, blocks the calendar slot and notifies the team on Slack.
• The conclusion: only two things matter, the actions an agent can call and proprietary data.
• Software that is not callable by an API or MCP does not exist for an agent.

For brands planning a campaign

A ready-made framing for a positioning or category brief on agentic infrastructure. It works as the opening thesis for a joint piece or podcast, though it reflects Goillot's reading of a public announcement and the numbers have not been independently checked here.

This is the clearest example of an honest build-in-public update tied to named alternatives.

Goillot says Ringover and Aircall closed their offices in August while the Allo team worked to fix one of its weakest areas, the call flow.

• They admit the previous IVR was not good.
• The post lists what the rebuilt flow now does: transfer rules by topic, an IVR menu set up in three steps or in several languages, call filtering using CRM properties, SMS sent at chosen moments during a call, and an AI receptionist that can transfer calls live or book an appointment.
• It is available in the app through chat and drag-and-drop, and through Allo's API and MCP.
• Goillot says Claude or Grok can configure the IVR directly.
• The post closes with an offer to migrate a competitor's flow from a photo of it.

For brands planning a campaign

A repeatable format: name the weakness, list the shipping details and name the competitors. For a GTM collaboration, this is more useful than abstract thought leadership: it gives a real before-and-after and a migration hook a partner can pick up.

This post shows their longer company-analysis and partner-story format.

Goillot tells the story of Sellsy, founded in 2009 in La Rochelle by Alain Mevellec and Frédéric Coulais.

• The company grew for 13 years mainly on revenue, with backing from regional investors Sofiouest, Arkéa Capital and Eiffel, before raising €55M in 2022 from Providence Strategic Growth and later being acquired by the Italian SaaS group TeamSystem.
• The figures given are around 12,000 client companies, more than 70,000 users and around 200 staff between La Rochelle and Bordeaux, with a platform processing billions of euros in business volume.
• Goillot notes that current CEO Victor Douek joined in 2016, became co-CEO and is not a cofounder, a succession pattern they say is rare in French startups.
• Allo is a partner of Sellsy.

For brands planning a campaign

Goillot can carry a sponsor or partner narrative with dates, funding rounds and operating numbers.

• A brand with a resilient-growth story, especially outside the Paris venture circuit, could commission a similar case-study post.
• Disclose the commercial relationship to Sellsy.

This post shows the event format, guest choice and how the replay is captured.

Goillot announces a LinkedIn Live with Arthur Waller, cofounder of the accounting platform Pennylane, on 9 June at 14h, about Waller's AI setup.

• Goillot says they followed Pennylane's launch from their time at Spendesk and calls Waller one of the French entrepreneurs furthest ahead on AI.
• They disclose that Waller is a business angel in their company.
• The announced topics are paying suppliers with AI, handling invoicing with AI, steering burn and keeping control of finances, having a CFO available around the clock, and what they would set up first if starting from zero.
• The format is 45 minutes, with shared screens and no slides; the replay is promised to anyone commenting REPLAY.

For brands planning a campaign

A working template for co-marketing: a named practitioner, disclosed relationship, operational topics and a comment keyword that builds an audience list. An AI-agents or GTM partner could fund a similar live event rather than a static sponsored post, with the value resting on the guest's real workflows.

This is the clearest example of customer-advocate creative.

Goillot says their face appeared on a Times Square billboard in a Hyperline campaign, presented jokingly as a padel expert.

• The concept asked the billing company's largest customers to pose doing what they love outside work.
• The post states that Allo moved from Stripe Billing to Hyperline and has since multiplied ARR by five.
• It lists the benefits used to justify the switch: quotes with commitments, an 86% acceptance rate on quotes sent, everything tracked on the sales side, and a sales team that likes the tool.
• Goillot thanks two named Hyperline people and the wider team.

For brands planning a campaign

A B2B SaaS campaign from the advocate's side rather than the vendor's: a customer story told by the customer, with a memorable visual hook. A billing, payments or RevOps brand could explore similar customer-story creative, treating the ARR and acceptance figures as Goillot's own claims.

One relays Cloudflare's announcement that bot traffic passed human traffic, along with its prediction that bot traffic will reach 1000 times human traffic within five years.

• It argues that the interface was never the product: agents call, read and write, so software without an API or MCP is invisible to them.
• The same argument becomes a product claim when Goillot describes Allo's MCP reaching 1,000 active users and when a call-flow release notes that Claude or Grok can configure a phone menu directly.

Opens with a third-party announcement or product figure, then turns it into an operating question the reader can act on.

For brands planning a campaign

An AI-agent or go-to-market infrastructure brand can work with a creator who has already published the thesis and paired it with a build-in-public example. A collaboration can start from a specific position rather than a general AI theme.

Examples: Source 1 · Source 2 · Source 3

One reviews a Fygr e-book on finance trends, arguing that most SMEs are a decade behind on their finance stack, the finance director's role is changing faster than their organisation, and AI will automate 80% of low-value tasks within 24 months. The other promotes a LinkedIn Live with Pennylane's Arthur Waller about paying suppliers, handling invoicing, controlling burn and having a finance lead available around the clock using AI.

Uses a vendor's own research or a named guest's live setup as proof, then lists the specific tasks being automated rather than describing the trend in the abstract.

Both posts have a commercial attachment: one distributes an e-book, and the other announces an event with a founder who is an investor in Goillot's company. The relationship is visible alongside the topic.

For brands planning a campaign

Relevant to finance software, accounting and spend-management brands. A campaign can build on an established habit of translating finance automation into concrete, named tasks.

Examples: Source 1 · Source 2

A call-flow release is framed against named competitors who closed for August and walks through transfer rules, a multi-step phone menu, CRM-driven routing and an AI receptionist, with configuration through the app, an API and an MCP.

• An earlier post reports the company's MCP passing 1,000 active users, with three customer examples.
• A billing-vendor post reports a move from one billing tool to another and the resulting growth in recurring revenue and quote acceptance.

A feature checklist, competitive contrast and short block of numbers, usually ending with a direct prompt to the reader.

For brands planning a campaign

Goillot shares specific product details and names competitors openly. A brand considering a co-marketing, integration or comparison post should expect the same level of specificity, with the arrangement visible in the post.

Examples: Source 1 · Source 2 · Source 3

One retells Sellsy's 13 years of mostly organic growth from La Rochelle, a 55M euro raise, an acquisition by an Italian group, roughly 12,000 customer companies and about 200 employees, arguing that a major software company can be built outside Paris without funding hype.

• Another calls Pennylane's Arthur Waller one of France's most advanced AI operators.
• A third argues that Paris lost its spaces for early-stage founders and points to a community with seven cohorts and more than 200 founders supported.

Builds a company portrait from founding date, funding, headcount and exit, then closes with a transferable lesson or invitation.

Each post names a relationship: Allo is a Sellsy partner, Waller is an investor in Goillot's company, and the community post invites readers to an event Goillot is speaking at. The editorial point and business tie travel together.

For brands planning a campaign

A strong fit for French ecosystem, founder-community and SaaS tooling brands, and useful when a campaign needs a narrative champion rather than a straight product reviewer.

Examples: Source 1 · Source 2 · Source 3

One describes a visit to Unitree's showroom and factory, citing delivery volumes, a sharp fall in average robot prices, revenue growth and an open-source hardware philosophy before contrasting European regulation with Chinese execution. The other compares South Korea's robot density per manufacturing worker with Germany, the United States and France, and notes Hyundai's acquisition of Boston Dynamics and deployment of its robots in its own factories.

On-site observations paired with a short set of comparative figures, ending with a question about European competitiveness.

These posts move beyond the software and go-to-market subjects covered elsewhere. The value for a French startup audience lies in the productivity comparison rather than the robotics market itself.

For brands planning a campaign

Industrial automation and hardware brands have a lane here, but it is narrower than the software themes and a weaker fit for a software-focused brief.

Examples: Source 1 · Source 2

The prompt is often a keyword comment that triggers a resource: FINANCE for an e-book, REPLAY for a recording, BUILDER for an event link. Most posts address readers directly and include a stated personal opinion.

For brands planning a campaign

A partner can use an established format. A benchmark, report, tool or event can slot into a keyword-CTA pattern the audience already responds to.

Examples: Source 1 · Source 2 · Source 3 · Source 4

Posts thank or credit Fygr, Pennylane, Hyperline and Sellsy, and describe Allo's own releases. The relationship is normally stated inside the post: Allo is a Sellsy partner, one founder mentioned is an investor in their company, and one billing post explains the switch from a competing tool.

The disclosures describe partner, investor and customer relationships. Ask for sponsorship rates, audience demographics and available formats; none appear in the material.

For brands planning a campaign

A brand can expect an endorsement that states the commercial relationship in the post itself, which is useful for disclosure and less useful if a campaign wants an undisclosed or purely editorial placement.

Examples: Source 1 · Source 2 · Source 3 · Source 4

Posts about the MCP beta passing 1,000 active users, call-flow work over August while competitors were closed, and the sales team's dialer workflows all concern Allo. Ask whether Goillot is a founder or employee.

Original disclosure

Chez nous, la réponse, c’était le padel. Sans Hyperline, on ne serait pas capables d’onboarder les milliers de clients qu’on signe chaque mois chez Allo.

View example

They recount its 16-year build from La Rochelle: 13 years of mostly organic growth, a €55M raise in 2022 from Providence Strategic Growth, roughly 12,000 client companies, and a 2025 acquisition by Italy's TeamSystem.

Original disclosure

Chez Allo, on est partenaires de Sellsy, et je suis vraiment fier de partager leur histoire… On est fiers d’être partenaires.

View example

They credit the switch with letting Allo onboard thousands of clients a month, report a 5x increase in ARR and 86% quote acceptance, and thank Hyperline staff by name for including them.

Original disclosure

Merci à Hyperline pour cette campagne complètement folle sur le Nasdaq… On est passés de Stripe Billing à Hyperline, et depuis, on a fait x5 sur notre ARR.

View example

Ask how Goillot is connected to Fygr.

Original disclosure

Après avoir lu en avant-première le dernier e-book de Fygr, mon avis est clair… Commentez FINANCE et je vous l’envoie.

View example

They disclosed that Waller is a business angel in Allo and said they had followed Pennylane from its launch; they did not say Pennylane pays them.

Original disclosure

Et je ne dis pas ça parce qu’il est business angel chez nous.

View example

Original disclosure

J’ai suivi le lancement de Pennylane depuis le début, à l’époque où j’étais encore chez Spendesk.

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Both write from inside companies selling that capability. Bidet's account of building lightweight agents for SMEs covers email triage, meeting notes and e-commerce extraction, then gives a monthly price—a combination of concrete tasks and a commercial offer also found in Goillot's product posts.

Bidet runs an agency and argues that it removes day-to-day irritants for small businesses, citing 20 years in tech and publishing prices openly. Goillot writes as an operator at a sales-and-telephony software company, using examples of API and MCP calls into a phone system, alongside French company portraits and reports on robotics in Asia—subjects Bidet does not cover.

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She breaks down her first ABM campaign at ElevenLabs tool by tool—the Claude project, Clay knowledge base, automated task and ad engine producing assets by template. Goillot takes a similar approach when showing what an agent can call and what it replaces.

Benoliel writes from inside demand generation, describing campaign builds and emerging marketing roles, including the GTM Engineer title and the jump in open postings.

• She explains how her own team executes.
• Goillot writes from the product and infrastructure side about software agents can call, alongside material on French SaaS history and industrial robotics.

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He argues that semantic layers are now a prerequisite for MCP and agent use, and that AI turns data platforms into something teams activate rather than merely store.

• That is adjacent to Goillot's claim that what matters is the actions an agent can invoke and the proprietary data behind them.
• Both offer practitioner-level vendor assessments with named tools and real numbers.

Rousseau focuses on engineering: platform choices between Snowflake and Databricks, data quality, FinOps, and the argument that AI lets teams move faster while also doing the wrong thing faster.

• Goillot writes about customer-facing software—call flows, billing and sales tooling—and which companies get celebrated in France.
• Follow Rousseau for stack decisions and Goillot for the agent-interface argument.

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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.

The tradeoff is scope and depth.

• Both posts cover one company's internal build and one role taxonomy, not a repeatable argument a sponsor can anchor a multi-asset campaign on.
• They do not discuss voice, telephony or customer conversations as an agent-callable surface—the centre of Goillot's Allo MCP and call-flow posts—so a sponsor selling sales-engagement or communications tooling loses the concrete product angle.
• The posts provide no follower count, audience composition, rate card or commercial terms, and offer only an unqualified comparison.
• Ask for reach and availability before booking.

Examples: Source 1 · Source 2

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.

The tradeoff is altitude.

• Bidet's examples are small operational wins at small organisations, with a published starting price in one post, rather than enterprise-scale GTM execution, partnership case studies or named competitors' products.
• A sponsor seeking thought leadership for revenue leaders at scaling SaaS companies will find thinner material on pipeline, sales process and marketing systems here than in the Benoliel or Rousseau posts.
• Ask for audience figures, engagement data and commercial terms before booking; the posts provide none.

Examples: Source 1 · Source 2

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.

The tradeoff is that the same campaign decision is approached from infrastructure rather than go-to-market.

• There is no ABM motion, sales or telephony workflow, or partnership case study involving a sponsor's product, so a vendor selling sales engagement, communications or marketing automation gets less usable context.
• The posts also assume a technical reader: vendor names and stack debates need explaining before a general marketing audience can act on them, adding production work.
• Ask for audience figures, a rate card and commercial terms before booking.

Examples: Source 1 · Source 2