How to Get Your IFA Firm Recommended by ChatGPT: A Step-by-Step Guide for 2026
Six concrete steps to make ChatGPT, Perplexity, and Claude recommend your IFA firm. With 30/60/90-day timelines and exactly what to do first.
Getting your IFA firm recommended by ChatGPT is not luck. It is a process — one with clear inputs, predictable outputs, and a timeline you can plan around. This guide lays out that process in the most direct terms possible.
Based on our research into 149 UK IFA firms and the patterns we have observed across hundreds of AI visibility audits, here are the six steps that consistently move firms from invisible to recommended.
Step 1: Run the Audit (Know Where You Stand)
You cannot fix what you cannot measure. Before investing time or money in AI visibility, establish a clear baseline. This means testing your firm systematically across all four major AI platforms: ChatGPT, Perplexity, Claude, and Google AI Overviews.
Run at least five queries on each platform, mixing location-based queries ("independent financial adviser in [your town]"), specialism queries ("pension transfer specialist in [your county]"), and direct name queries ("[firm name] — is this a reputable IFA?"). Record every result.
You are looking for three things: whether your firm appears at all, what the AI says about you when it does appear, and which competitors appear in your place when you do not.
For a comprehensive baseline, Presenzia's free AI visibility score tests your firm across all four platforms in under 60 seconds and gives you a score from 0–100 with a platform-by-platform breakdown. Most firms score below 30. Knowing your starting score gives you a concrete way to measure every subsequent action.
Step 2: Complete All Directory Profiles
AI systems cross-reference multiple sources when deciding whether to recommend a firm. The more consistent, complete sources they can find, the more confidence they have in making a recommendation.
The essential directories, in priority order:
Google Business Profile — The single most impactful directory for AI recommendations. Claims it, verify it, and complete every available field. See our detailed guide on optimising your Google Business Profile for AI recommendations. This takes 45–90 minutes and should be your first action if you have not already done it.
VouchedFor — The most widely referenced UK adviser review platform in AI training data. A complete VouchedFor profile (not just a claimed listing, but one with detailed qualifications, specialisms, fee structure, and biography) significantly increases your visibility in responses to UK-specific queries.
Unbiased — The second major UK IFA directory. Complete your profile and ensure your service descriptions match exactly what you offer.
FTAdviser — Industry publication directories carry substantial authority with AI systems. An FTAdviser listing confirms your credibility as a financial professional to AI models.
PFS and CISI directories — Professional body listings create strong authority signals. If you hold Chartered Financial Planner status, ensure it appears clearly on your PFS profile.
Critically, your firm name must be identical across every platform. Any variation — "Smith & Partners" vs "Smith and Partners" vs "Smith & Partners Financial Planning" — creates data inconsistency that reduces AI confidence. Read our full guide on which IFA directories feed into AI recommendations for a complete ranked list.
Timeline: 2–3 days to complete or update all key directory profiles.
Step 3: Build Review Volume With Specific Content
This is where most IFAs either stall or go wrong. Stalling: simply not asking clients for reviews, usually from a combination of reluctance and uncertainty about FCA rules. Going wrong: collecting vague, generic reviews that tell AI nothing useful.
Generic reviews ("great service, very professional") have minimal AI value. Specific reviews that describe the actual service, the client situation, and the outcome are transformative. A review that says "helped us understand our options for defined benefit pension transfer and guided us through the whole process" teaches AI to match your firm to pension transfer queries.
How to request reviews that actually help:
Ask at a high-satisfaction moment — immediately after completing a significant piece of work, not months later. Be specific in your request: "It would really help us if you could share what brought you to us, what we worked on together, and how you felt about the outcome." This naturally produces detailed, AI-relevant reviews without prompting keyword stuffing.
Ask clients to leave reviews on Google first, then VouchedFor. These two platforms are weighted most heavily by AI systems.
The FCA is clear that client testimonials are permissible under Consumer Duty provided they are genuine, not selectively edited, and not incentivised. There is no regulatory barrier to building an honest review presence.
Target: 10 specific Google reviews and 8 specific VouchedFor reviews within 90 days. Our full guide on how reviews determine ChatGPT recommendations explains the science behind review quality and volume.
Timeline: Ongoing, but with focused effort you can reach the 10/8 threshold within 60–90 days.
Step 4: Publish Authority Content on Your Specialist Areas
AI platforms recommend firms they perceive as experts. Expertise is demonstrated through content: detailed, specific, accurate guides on topics your target clients care about.
The key word is specific. "We specialise in pensions" is a claim. A 1,500-word guide on "How to evaluate whether a defined benefit pension transfer is right for you" is evidence. AI systems distinguish between the two.
Start with one pillar guide. Choose the topic where your firm has the deepest expertise and the clearest client need. Write 1,500–2,500 words that genuinely cover the topic: the process, the risks, the regulatory context, specific scenarios, and what a good outcome looks like. Write for an intelligent non-expert. Use real figures and current regulatory thresholds.
Then add location and service specificity. Create pages that combine your specialism with your location: "Inheritance Tax Planning for Property Owners in [Region]." These location-specialism combinations are exactly the queries AI receives from prospective clients.
Publish team credentials. Named advisers with qualifications, specialisms, and professional histories create personal authority signals that AI systems evaluate. "Our experienced team" tells AI nothing. "Sarah Chen, Chartered Financial Planner (CFPTM), specialising in pension transfer advice for NHS consultants with 12 years' experience" gives AI something concrete to reference.
For a full content framework, read our guide on what to write on your website so AI recommends you.
Timeline: First pillar guide in weeks 2–3. Add location and team pages in weeks 3–4. Additional content monthly thereafter.
Step 5: Add Schema Markup
FinancialService schema is structured data you add to your website's code to tell AI systems explicitly what your firm does, where it operates, and what credentials it holds. Without schema markup, AI has to infer this information from unstructured text. With it, the information is unambiguous.
Key fields to include: firm name, URL, address, telephone, description, services offered, area served, and your FCA registration number. For a full technical walkthrough with code examples, see our schema markup guide for financial advisers.
Schema markup requires a web developer to implement properly, but the cost is typically modest (1–3 hours of developer time) and the AI citation uplift is consistently significant. Research suggests schema markup can improve AI citation rates by over 30%.
Timeline: 1–2 weeks to implement with developer support.
Step 6: Monitor and Iterate
AI visibility is not a one-time fix. AI systems update their training data, adjust their ranking signals, and change their recommendation behaviour over time. The firms that maintain sustained visibility are the ones that treat AI optimisation as an ongoing process, not a project with a finish line.
Monthly monitoring checklist:
- Run 5 test queries on each of the four platforms
- Note any changes in whether your firm appears
- Check if competitors have improved their visibility
- Review whether recent content has been cited
- Identify one new action to take based on results
Quarterly reviews:
- Update directory profiles (qualifications, services, team changes)
- Publish at least one new substantive piece of content
- Request reviews from recent clients
- Re-run your Presenzia AI visibility score to track progress
What to Expect: 30/60/90-Day Timeline
By day 30: Google Business Profile complete, all major directory profiles updated or created, first review requests sent, name consistency confirmed across all platforms.
By day 60: 5–8 new specific reviews collected, first pillar guide published, schema markup implemented, first re-test showing measurable improvement on at least two platforms.
By day 90: 10+ specific Google reviews, 8+ VouchedFor reviews, two pieces of substantive content published, regular monitoring cadence established. Most firms at this stage see their AI visibility score move from below 30 to 40–65, with consistent appearance on at least two platforms for their key queries.
The window for competitive advantage is still open. Fewer than 5% of UK IFA firms have optimised for AI visibility in any meaningful way. The firms that start now will establish positions that become progressively harder to displace as AI search becomes the dominant discovery channel.
Start today by getting your free AI visibility score at presenzia.ai/score. It takes 60 seconds and gives you a clear picture of exactly where you stand before you begin.
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