How to get your business recommended by AI with Entity SEO

At this moment, someone is asking an AI tool who to hire, donate to, or partner with in your field.

People have stopped scrolling through page after page of Google links. Instead, they ask ChatGPT or Gemini direct questions and act on the answers. When users stop clicking through to websites, your business must be mentioned in the AI’s direct response. If your business isn’t mentioned, it gets skipped entirely.

Research shows 45% of consumers now use AI tools to find local professionals, yet only 1.2% of businesses are recommended by ChatGPT and 11% by Gemini, even though nearly 36% appear in traditional Google local results. This gap is why many exceptional businesses feel invisible. Midday helps businesses become the ones that AI recommends with confidence.

This page explains why most businesses don’t show up in zero-click AI searches and how Entity SEO changes that.

At a glance

  • AI search visibility means ChatGPT and Gemini can confidently recommend your business by name.

  • This matters because AI assistants usually give only one or two answers, making it three to thirty times harder to be seen than ranking on Google (searchengineland.com).

  • 45% of consumers now use AI to find local professionals, up from 6% one year earlier (markets.businessinsider.com).

  • Independent audits show that about 70% of local businesses are invisible to AI engines because their information is unclear or inconsistent (local-ai-audit.com).

  • Midday uses a Support, Enhance, and Evolve approach to build clarity, credibility, and authority.

  • This leads to earlier trust, higher-quality enquiries, and inclusion in zero-click answers.

See how this fits into AI Search Optimisation.

What is Entity SEO (and why AI needs it)?

Traditional SEO focuses on keywords on a webpage; Entity SEO focuses on proving who your business is in the real world. To an AI engine like ChatGPT or Gemini, your business is an “Entity”—a unique concept defined by its name, its leadership, its location, and the specific services it offers.

Because AI answers are direct and don’t rely on lists of website links, the AI will only recommend businesses it can verify with absolute certainty. If your brand data is conflicting or vague, the AI experiences “low confidence” and leaves you out to avoid giving a bad answer. Entity SEO fixes this by structuring your data so AI platforms can instantly connect the dots, verify your credibility, and pitch you to users.

Why this matters

Consumer behaviour has changed quickly. Data from BrightLocal shows that AI is now the third-most-used channel for local discovery, with adoption jumping from 6% to 45% in one year (markets.businessinsider.com).

At the same time, an analysis of 350,000 locations by SOCi shows that AI visibility is up to 30× harder to achieve than Google rankings, and fewer than 50% of top Google performers appear in AI answers at all (searchengineland.com). Separate audits indicate that around 70% of local businesses are invisible to AI due to inconsistent names, poorly structured data and limited third-party validation (local-ai-audit.com).

The risk with AI Search is your business or nonprofit not being considered at all.

How Midday applies AI search visibility

Support: establish clarity

We make sure the basics AI depends on are solid.

  • Resolve entity signals across the website, Google Business Profile, Companies House and directories

  • Implement Organisation, LocalBusiness, Person, Service and FAQ schema using Google‑recommended JSON‑LD. (developers.google.com)

  • Clearly document services, locations and leadership

AI systems can recognise and trust your business.

Enhance: connect and validate

We improve how clearly your business is understood.

  • Build knowledge‑graph‑ready About and service pages

  • Publish locally relevant content answering real AI prompts

  • Audit third‑party mentions and clear up location data

Your business connects with the right topics and locations.

Evolve: grow authority over time

AI search keeps changing.

  • Track citation frequency across ChatGPT and Gemini

  • Expand authority content where AI demand is emerging

  • Refine structure as AI behaviour changes

Your visibility keeps growing instead of fading away.

Outcomes by leadership role

  • Head of Marketing: More people find you through AI, and you get better-qualified enquiries.

  • Head of Digital: Cleaner data setup and less confusion.

  • IT Lead: Standards‑based schema aligned with Schema.org reduces rework (developers.google.com).

  • Operations Lead: Fewer enquiries go to the wrong place, and your positioning is clearer.

  • Managing Director: You build trust sooner, and your sales pipeline is more resilient.

Case study: When we deployed this exact entity data framework across our own corporate agency site (Growcreate), we raised our average AI position to 2.1 for key searches. By auditing our brand signals, cleaning up conflicting data, and deploying advanced schema markup, we increased our citation coverage across relevant ChatGPT searches from 6% to 64% in just 14 days. This proof of concept delivered a tenfold increase in AI brand mentions and secured a #2.1 average recommendation position across our most competitive commercial search intents.

Structured vs ad‑hoc Entity Authority

Midday Digital Entity SEO Matrix
Factor Ad‑hoc Approach Midday Structured Approach
AI Confidence Low
Fragmented, ambiguous web mentions and data conflicts that break entity resolution across knowledge graphs.
High
Unified entity data signals across records, matching explicit semantic attributes that web models can trust instantly.
Risk Unpredictable
Vulnerable to sudden schema shifts or text parsing updates that can decouple your brand from its key market relationships.
Managed
Protected with pristine, multi-source citations and machine-readable frameworks that secure entity mapping integrity.
ROI Short‑lived
Temporary traffic spikes from flat keyword optimization that decay when search systems recalculate topic graphs.
Compounding
Permanent brand authority that hardcodes your services into semantic layers, driving high-intent business inquiries.
Resilience Degrades
Fades out as LLM assistants shift past direct text queries and rely strictly on highly-vetted, interconnected entities.
Improves
Scales effortlessly as AI architecture matures, growing stronger with every new verified validation point.
AI Confidence
Ad‑hoc Approach
Low
Fragmented, ambiguous web mentions and data conflicts that break entity resolution across knowledge graphs.
Midday Structured Approach
High
Unified entity data signals across records, matching explicit semantic attributes that web models can trust instantly.
Risk
Ad‑hoc Approach
Unpredictable
Vulnerable to sudden schema shifts or text parsing updates that can decouple your brand from its key market relationships.
Midday Structured Approach
Managed
Protected with pristine, multi-source citations and machine-readable frameworks that secure entity mapping integrity.

Third‑party validation

  • Analyst: SOCi shows AI visibility is up to 30× harder than Google rankings (searchengineland.com).

  • Standard: Google confirms structured data improves machine understanding of businesses (developers.google.com).

  • Vendor: OpenAI confirms ChatGPT synthesises web sources into direct answers, not lists (citedai.io).

Midday holds deep technical expertise across ISO 27001 standards, Cyber Essentials, Umbraco Platinum Partner status, and Microsoft Azure infrastructure.

Who benefits most

This approach suits Marketing, Digital, IT, Operations, Managing Directors and Finance Directors seeking sustainable demand and reduced visibility risk.

  • AI search visibility means your business is explicitly named, recommended, and cited as a trusted source when users ask questions inside tools like ChatGPT, Gemini, and Google’s AI Overviews.

    It matters because consumer behaviour has shifted. Instead of scrolling through pages of blue website links on a traditional search engine, buyers are asking AI assistants for direct answers (e.g., "Who are the most reliable B2B software agencies?"). In this zero-click environment, AI engines typically recommend only one or two businesses that they can verify with absolute certainty. If your business lacks AI search visibility, you are cut out of the conversation before a buyer ever visits a website.

  • No. Local SEO affects your ranking, but AI search visibility decides if you get mentioned at all. SOCi’s data shows 35.9% of businesses appear in Google’s local results, but only 1.2% are recommended by ChatGPT and 11% by Gemini, proving the systems operate on different rules searchengineland.com.

  • Schema markup makes things clear for machines. Google confirms that structured data improves machine understanding by explicitly defining your business type, services, location and relationships using JSON-LD (developers.google.com). AI systems reuse this information when deciding whether they can confidently name a business.

  • It happens faster than with traditional SEO. Because AI systems synthesise existing information rather than waiting for long ranking cycles, citation frequency can change within weeks once entity clarity and authority signals are corrected. Large‑scale analysis shows AI visibility shifts far faster than Google rankings when confidence thresholds are crossed searchengineland.com.

  • Independent audits show that about 70% of local businesses are invisible to AI engines due to inconsistent names, poorly structured data, and insufficient third-party validation (local-ai-audit.com). AI systems avoid risk. If information is conflicting or cannot be verified, they leave the business out rather than guess.

  • No. Local B2C and professional services often see even faster gains. AI adoption for local discovery grew from 6% to 45% in one year, with strong uptake in trades, healthcare, legal and professional services markets.businessinsider.com.

What signals most influence AI recommendations?

Research shows there are four main signals (searchengineland.com):

  1. Entity clarity across platforms

  2. Structured data confirming services and location

  3. Authority mentions from trusted third parties

  4. Sentiment thresholds: AI‑recommended businesses average 4.1–4.3★ ratings.

Let’s make your business the one that AI recommends.

If buyers are already asking ChatGPT and Gemini who to trust, missing out on being mentioned means missing an opportunity.

Check out our flat-rate monthly AI Search Optimisation and GEO services, or book a straightforward discovery call with Adam through our contact page.

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